Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 73, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'catslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]Code Context
trigger_error($message, E_USER_DEPRECATED);
}
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.' $stackFrame = (int) 1 $trace = [ (int) 0 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php', 'line' => (int) 2421, 'function' => 'deprecationWarning', 'args' => [ (int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.' ] ], (int) 1 => [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) {}, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ], (int) 2 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php', 'line' => (int) 610, 'function' => 'printArticle', 'class' => 'App\Controller\ArtileDetailController', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 3 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 120, 'function' => 'invokeAction', 'class' => 'Cake\Controller\Controller', 'object' => object(App\Controller\ArtileDetailController) {}, 'type' => '->', 'args' => [] ], (int) 4 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php', 'line' => (int) 94, 'function' => '_invoke', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(App\Controller\ArtileDetailController) {} ] ], (int) 5 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php', 'line' => (int) 235, 'function' => 'dispatch', 'class' => 'Cake\Http\ActionDispatcher', 'object' => object(Cake\Http\ActionDispatcher) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 6 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Http\BaseApplication', 'object' => object(App\Application) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 7 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php', 'line' => (int) 162, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 8 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\RoutingMiddleware', 'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 9 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php', 'line' => (int) 88, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 10 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Routing\Middleware\AssetMiddleware', 'object' => object(Cake\Routing\Middleware\AssetMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 11 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php', 'line' => (int) 96, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 12 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 65, 'function' => '__invoke', 'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware', 'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {}, (int) 2 => object(Cake\Http\Runner) {} ] ], (int) 13 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php', 'line' => (int) 51, 'function' => '__invoke', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\ServerRequest) {}, (int) 1 => object(Cake\Http\Response) {} ] ], (int) 14 => [ 'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php', 'line' => (int) 98, 'function' => 'run', 'class' => 'Cake\Http\Runner', 'object' => object(Cake\Http\Runner) {}, 'type' => '->', 'args' => [ (int) 0 => object(Cake\Http\MiddlewareQueue) {}, (int) 1 => object(Cake\Http\ServerRequest) {}, (int) 2 => object(Cake\Http\Response) {} ] ], (int) 15 => [ 'file' => '/home/brlfuser/public_html/webroot/index.php', 'line' => (int) 39, 'function' => 'run', 'class' => 'Cake\Http\Server', 'object' => object(Cake\Http\Server) {}, 'type' => '->', 'args' => [] ] ] $frame = [ 'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php', 'line' => (int) 74, 'function' => 'offsetGet', 'class' => 'Cake\Http\ServerRequest', 'object' => object(Cake\Http\ServerRequest) { trustProxy => false [protected] params => [ [maximum depth reached] ] [protected] data => [[maximum depth reached]] [protected] query => [[maximum depth reached]] [protected] cookies => [ [maximum depth reached] ] [protected] _environment => [ [maximum depth reached] ] [protected] url => 'latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044/print' [protected] trustedProxies => [[maximum depth reached]] [protected] _input => null [protected] _detectors => [ [maximum depth reached] ] [protected] _detectorCache => [ [maximum depth reached] ] [protected] stream => object(Zend\Diactoros\PhpInputStream) {} [protected] uri => object(Zend\Diactoros\Uri) {} [protected] session => object(Cake\Http\Session) {} [protected] attributes => [[maximum depth reached]] [protected] emulatedAttributes => [ [maximum depth reached] ] [protected] uploadedFiles => [[maximum depth reached]] [protected] protocol => null [protected] requestTarget => null [private] deprecatedProperties => [ [maximum depth reached] ] }, 'type' => '->', 'args' => [ (int) 0 => 'artileslug' ] ]deprecationWarning - CORE/src/Core/functions.php, line 311 Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421 App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74 Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51 Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98
Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]Code Contextif (Configure::read('debug')) {
trigger_error($message, E_USER_WARNING);
} else {
$response = object(Cake\Http\Response) { 'status' => (int) 200, 'contentType' => 'text/html', 'headers' => [ 'Content-Type' => [ [maximum depth reached] ] ], 'file' => null, 'fileRange' => [], 'cookies' => object(Cake\Http\Cookie\CookieCollection) {}, 'cacheDirectives' => [], 'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-trace').style.display = (document.getElementById('cakeErr67ff798855068-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67ff798855068-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-code').style.display = (document.getElementById('cakeErr67ff798855068-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-context').style.display = (document.getElementById('cakeErr67ff798855068-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67ff798855068-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr67ff798855068-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 17915, 'metaTitle' => 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'metaKeywords' => 'NREGS,NREGA,Wages,agricultural labourers', 'metaDesc' => ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...', 'disp' => '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 17915 $metaTitle = 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan' $metaKeywords = 'NREGS,NREGA,Wages,agricultural labourers' $metaDesc = ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...' $disp = '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan | Im4change.org</title> <meta name="description" content=" -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify"> </div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify"> </div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify"> </div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify"> </div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify"> </div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify"> </div><div style="text-align: justify">• First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify"> </div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $maxBufferLength = (int) 8192 $file = '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php' $line = (int) 853 $message = 'Unable to emit headers. 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'' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67ff798855068-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-code').style.display = (document.getElementById('cakeErr67ff798855068-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-context').style.display = (document.getElementById('cakeErr67ff798855068-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67ff798855068-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr67ff798855068-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 17915, 'metaTitle' => 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'metaKeywords' => 'NREGS,NREGA,Wages,agricultural labourers', 'metaDesc' => ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...', 'disp' => '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 17915 $metaTitle = 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan' $metaKeywords = 'NREGS,NREGA,Wages,agricultural labourers' $metaDesc = ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...' $disp = '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan | Im4change.org</title> <meta name="description" content=" -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify"> </div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify"> </div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify"> </div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify"> </div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify"> </div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify"> </div><div style="text-align: justify">• First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify"> </div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $reasonPhrase = 'OK'header - [internal], line ?? 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'' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67ff798855068-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-code').style.display = (document.getElementById('cakeErr67ff798855068-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67ff798855068-context').style.display = (document.getElementById('cakeErr67ff798855068-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67ff798855068-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700"><</span><span style="color: #0000BB">head</span><span style="color: #007700">> </span></span></code> <span class="code-highlight"><code><span style="color: #000000"> <link rel="canonical" href="<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">); </span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">category</span><span style="color: #007700">-></span><span style="color: #0000BB">slug</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>/<span style="color: #0000BB"><?php </span><span style="color: #007700">echo </span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-></span><span style="color: #0000BB">seo_url</span><span style="color: #007700">; </span><span style="color: #0000BB">?></span>.html"/> </span></code></span> <code><span style="color: #000000"><span style="color: #0000BB"> </span><span style="color: #007700"><</span><span style="color: #0000BB">meta http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type" </span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html; charset=utf-8"</span><span style="color: #007700">/> </span></span></code></pre><pre id="cakeErr67ff798855068-context" class="cake-context" style="display: none;">$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 17915, 'metaTitle' => 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'metaKeywords' => 'NREGS,NREGA,Wages,agricultural labourers', 'metaDesc' => ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...', 'disp' => '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp; </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp; </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> &bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> &nbsp; </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 17915 $metaTitle = 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan' $metaKeywords = 'NREGS,NREGA,Wages,agricultural labourers' $metaDesc = ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...' $disp = '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" />&nbsp;</div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women&rsquo;s real wage growth rates.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages.&nbsp;</div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men&rsquo;s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men&rsquo;s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women&rsquo;s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women&rsquo;s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women&rsquo;s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">&bull; Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify">&nbsp;</div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8 Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413 Cake\View\View::_render() - CORE/src/View/View.php, line 1374 Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927 Cake\View\View::render() - CORE/src/View/View.php, line 885 Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791 Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126 Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94 Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96 Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65 Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044.html"/> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css" media="all"/> <title>LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan | Im4change.org</title> <meta name="description" content=" -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues..."/> <script src="https://im4change.in/js/jquery-1.10.2.js"></script> <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script> <script language="javascript" type="text/javascript"> $(document).ready(function () { var img = $("img")[0]; // Get my img elem var pic_real_width, pic_real_height; $("<img/>") // Make in memory copy of image to avoid css issues .attr("src", $(img).attr("src")) .load(function () { pic_real_width = this.width; // Note: $(this).width() will not pic_real_height = this.height; // work for in memory images. }); }); </script> <style type="text/css"> @media screen { div.divFooter { display: block; } } @media print { .printbutton { display: none !important; } } </style> </head> <body> <table cellpadding="0" cellspacing="0" border="0" width="98%" align="center"> <tr> <td class="top_bg"> <div class="divFooter"> <img src="https://im4change.in/images/logo1.jpg" height="59" border="0" alt="Resource centre on India's rural distress" style="padding-top:14px;"/> </div> </td> </tr> <tr> <td id="topspace"> </td> </tr> <tr id="topspace"> <td> </td> </tr> <tr> <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> <tr> <td width="100%"> <h1 class="news_headlines" style="font-style:normal"> <strong>Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify"> </div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify"> </div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify"> </div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify"> </div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify"> </div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify"> </div><div style="text-align: justify">• First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify"> </div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div> </font> </td> </tr> <tr> <td> </td> </tr> <tr> <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;"> <form><input type="button" value=" Print this page " onclick="window.print();return false;"/></form> </td> </tr> </table></body> </html>' } $cookies = [] $values = [ (int) 0 => 'text/html; charset=UTF-8' ] $name = 'Content-Type' $first = true $value = 'text/html; charset=UTF-8'header - [internal], line ?? 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$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp' $dataForView = [ 'article_current' => object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ [maximum depth reached] ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ [maximum depth reached] ], '[dirty]' => [[maximum depth reached]], '[original]' => [[maximum depth reached]], '[virtual]' => [[maximum depth reached]], '[hasErrors]' => false, '[errors]' => [[maximum depth reached]], '[invalid]' => [[maximum depth reached]], '[repository]' => 'Articles' }, 'articleid' => (int) 17915, 'metaTitle' => 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'metaKeywords' => 'NREGS,NREGA,Wages,agricultural labourers', 'metaDesc' => ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...', 'disp' => '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify"> </div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify"> </div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify"> </div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify"> </div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify"> </div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify"> </div><div style="text-align: justify">• First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify"> </div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 17915, 'title' => 'Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan', 'subheading' => '', 'description' => '<div style="text-align: justify"> -Live Mint </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> <em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em> </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Rising rural agricultural wages</em> </div> <div style="text-align: justify"> <img src="tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div> <div style="text-align: justify"> Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Rise in wages and agricultural productivity</em> </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div> <div style="text-align: justify"> <br /> </div> <div style="text-align: justify"> The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> MGNREGA effectiveness and agricultural wages </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> <em>Conclusion</em> </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> The above data throws light on a few aspects. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> • Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. </div> <div style="text-align: justify"> </div> <div style="text-align: justify"> It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. </div> <div style="text-align: justify"> <em><br /> </em> </div> <div style="text-align: justify"> <em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em> </div>', 'credit_writer' => 'Live Mint, 5 November, 2012, http://www.livemint.com/Opinion/tv3TkQeVfEpOia7eeVENfJ/Agricultural-wages-and-NREGA-Exploring-the-myth.html', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'agricultural-wages-and-nrega-exploring-the-myth-kanika-mahajan-18044', 'meta_title' => null, 'meta_keywords' => null, 'meta_description' => null, 'noindex' => (int) 0, 'publish_date' => object(Cake\I18n\FrozenDate) {}, 'most_visit_section_id' => null, 'article_big_img' => null, 'liveid' => (int) 18044, 'created' => object(Cake\I18n\FrozenTime) {}, 'modified' => object(Cake\I18n\FrozenTime) {}, 'edate' => '', 'tags' => [ (int) 0 => object(Cake\ORM\Entity) {}, (int) 1 => object(Cake\ORM\Entity) {}, (int) 2 => object(Cake\ORM\Entity) {}, (int) 3 => object(Cake\ORM\Entity) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 17915 $metaTitle = 'LATEST NEWS UPDATES | Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan' $metaKeywords = 'NREGS,NREGA,Wages,agricultural labourers' $metaDesc = ' -Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues...' $disp = '<div style="text-align: justify">-Live Mint</div><div style="text-align: justify"><br /></div><div style="text-align: justify"><em>Charges that NREGA has pushed up agricultural wages fails to account for changing productivity</em></div><div style="text-align: justify"><br /></div><div style="text-align: justify">In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012).</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rising rural agricultural wages</em></div><div style="text-align: justify"><img src="https://im4change.in/siteadmin/tinymce/uploaded/NREGA.bmp" alt="NREGA wage" /> </div><div style="text-align: justify">Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years.</div><div style="text-align: justify"> </div><div style="text-align: justify">This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Rise in wages and agricultural productivity</em></div><div style="text-align: justify"> </div><div style="text-align: justify">But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. </div><div style="text-align: justify"><br /></div><div style="text-align: justify">The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004.</div><div style="text-align: justify"> </div><div style="text-align: justify">MGNREGA effectiveness and agricultural wages</div><div style="text-align: justify"> </div><div style="text-align: justify">To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year.</div><div style="text-align: justify"> </div><div style="text-align: justify"><em>Conclusion</em></div><div style="text-align: justify"> </div><div style="text-align: justify">The above data throws light on a few aspects.</div><div style="text-align: justify"> </div><div style="text-align: justify">• First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level.</div><div style="text-align: justify"> </div><div style="text-align: justify">• Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%.</div><div style="text-align: justify"> </div><div style="text-align: justify">It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time.</div><div style="text-align: justify"><em><br /></em></div><div style="text-align: justify"><em>Kanika Mahajan is a Phd scholar at ISI Delhi.</em></div>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'
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Agricultural wages and NREGA: Exploring the myth-Kanika Mahajan |
-Live Mint Charges that NREGA has pushed up agricultural wages fails to account for changing productivity In the debate over the costs and benefits of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), one of the most controversial and unsettled issues is its effect on agricultural labour market. Last year, Union agriculture minister Sharad Pawar even went to the extent of recommending a 50% subsidy to farmers in wage costs due to increases in real (inflation-adjusted) agricultural wages, linking the increase in wages to MGNREGA. The resounding echo in the academic circles also seems to support the idea of a rise in real casual labourer wages due to MGNREGA, with estimates ranging from 4% to 8% (Berg et al 2012, Azam 2012, Imbert and Papp 2012). Rising rural agricultural wages ![]() Table 1 shows the rising real wages, measured by the compounded annual growth rate (CAGR), of men and women in agriculture across the major Indian states for the five-year periods of 1999-2004 and 2004-2009. The latter is the period in which MGNREGA was implemented across districts in India, with all the districts covered by 2008-2009. If the observations and results of the previous studies are correct, the five-year period from 2004-2009 should have witnessed a higher growth in real wages as compared with the previous five years. This indeed is shown in the data, with the annual wage growth rate for men working in agriculture being 3.1% in the most recent period compared with just 1.8% in the previous period. The difference is even starker for women at 5% annual growth for 2004-2009 and a meagre 1.2% for 1999-2004. The states that witness the largest rise in real agricultural wages for men are Andhra Pradesh, Karnataka, Madhya Pradesh, West Bengal and Tamil Nadu. In addition to the above states, Kerala and Maharashtra show a steep increase in women’s real wage growth rates. Rise in wages and agricultural productivity But these figures cannot be analysed in isolation. They must be looked at under the light of changing agricultural conditions across the two periods. An often-used indicator for agricultural productivity is growth in yield rates over time. Table 1 also shows the growth in three-year average of foodgrain (cereals and pulses) yields using data from the ministry of agriculture across the same periods. What is striking is the increase in foodgrain yield in 2004-2009 of 2.5% per year, while it was at a record low level of 0.1% per year during 1999-2004. Since growth in agricultural yields is an important factor affecting the growth in agricultural wages, this must be accounted for before drawing any conclusions about the effect of MGNREGA on agricultural wages. The net increase in men’s agricultural wages (subtracting the foodgrain yield growth rate from real agricultural wage growth rate) stands at 1.7% for the period of 1999-2004 and 0.6% for 2004-2009. Thus, 2004-2009 effectually experienced a lower rate of increase in agricultural wages once the growth rate in yield is netted out. After subtracting the rate of growth in food-grain yield, Tamil Nadu and Karnataka in fact show negative growth rates in men’s agricultural wages in 2004-2009, though they had positive net growth rates in 1999-2004. The women’s wages also show very low or negative net wage rate growth in Karnataka, Maharashtra and Tamil Nadu among the states that show higher rate of growth in women’s real agricultural wages. Even at the all India level, growth in net female agricultural wages is a modest 2.4% in 2004-2009 in comparison with the 1.1% in the 1999-2004. MGNREGA effectiveness and agricultural wages To compare the above figures with the effectiveness of MGNREGA implementation across states, the last column of Table 1 shows percentage households reporting to have done some work in MGNREGA in the National Sample Survey 2009. As this is household reported data, it is likely to be more reliable than the official records of the government. The top five states in terms of MGNREGA work are Andhra Pradesh, Madhya Pradesh, Rajasthan, Tamil Nadu and West Bengal. This is in line with many previous reports that laud the MGNREGA implementation in these states. Of these Rajasthan has not shown any spectacular growth in real wages. And of the remaining four states, Andhra Pradesh and Tamil Nadu have also shown more than 5% per year growth rate in the foodgrain yields from 2004 to 2009. In Madhya Pradesh, the net impact has been pronounced only on women’s wages. Karnataka, on the other hand, has witnessed a larger real agricultural wage growth despite the percentage households that have received MGNREGA work in the state being abysmally low at 8%. This increase seems to have been backed by a higher growth rate in foodgrain productivity in the state at 6.2% per year. Conclusion The above data throws light on a few aspects. • First, the agricultural sector has not suffered due to lack of availability of labour, if any, as the foodgrain yield estimates show a per year increase of 2.5% from 2004-2009 which may be due to blessings from the rainfall Gods (though this seems an unlikely explanation as both periods had a major drought year, 2002 and 2009, respectively) or increased productivity due to asset creation under MGNREGA or a general change in technology in agriculture leading to higher yield growth rates during 2004-09. • Second, accounting for growth in foodgrain productivity during 2004-09 actually leads to a lower real wage growth in agriculture during this period in comparison to 1999-04 at the all-India level. • Third, modest real wage gains, if any, seem to have been experienced by women in the agricultural sector where the gender difference in agricultural wages in 2004 stood at 30%. It seems that the role played by MGNREGA in increasing agricultural wages may have been confounded by an increase in agricultural productivity over the same period. With the currently available data, at least, it is not possible to conclusively substantiate the claim that rising agricultural wages are a consequence of a decrease in the labour supply due to the introduction of MGNREGA. Thus, resting the responsibility of increasing agricultural wages solely on shortage of hired agricultural labour caused by MGNREGA may be an overstatement since agricultural productivity conditions too have not remained static over time. Kanika Mahajan is a Phd scholar at ISI Delhi.
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