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/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180/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/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180/print' [protected] base => '' [protected] webroot => '/' [protected] here => '/latest-news-updates/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180/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('cakeErr680196dd4d905-trace').style.display = (document.getElementById('cakeErr680196dd4d905-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="cakeErr680196dd4d905-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr680196dd4d905-code').style.display = (document.getElementById('cakeErr680196dd4d905-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr680196dd4d905-context').style.display = (document.getElementById('cakeErr680196dd4d905-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr680196dd4d905-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="cakeErr680196dd4d905-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) 20039, 'title' => 'A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express </div> <p align="justify"> <br /> Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) 20039, 'metaTitle' => 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'metaKeywords' => 'NREGS,NREGA,Poverty', 'metaDesc' => ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...', 'disp' => '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 20039, 'title' => 'A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express </div> <p align="justify"> <br /> Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 20039 $metaTitle = 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande' $metaKeywords = 'NREGS,NREGA,Poverty' $metaDesc = ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...' $disp = '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>' $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/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180.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 | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande | Im4change.org</title> <meta name="description" content=" -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in..."/> <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>A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p> </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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It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) 20039, 'metaTitle' => 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'metaKeywords' => 'NREGS,NREGA,Poverty', 'metaDesc' => ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...', 'disp' => '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 20039, 'title' => 'A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express </div> <p align="justify"> <br /> Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 20039 $metaTitle = 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande' $metaKeywords = 'NREGS,NREGA,Poverty' $metaDesc = ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...' $disp = '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>' $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/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180.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 | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande | Im4change.org</title> <meta name="description" content=" -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in..."/> <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>A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p> </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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It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. 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It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 20039, 'title' => 'A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express </div> <p align="justify"> <br /> Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 20039 $metaTitle = 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande' $metaKeywords = 'NREGS,NREGA,Poverty' $metaDesc = ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...' $disp = '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in &quot;self-targeting&quot; mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what &quot;well off&quot; means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of &quot;well off&quot; that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of &quot;others&quot; by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of &quot;rationing&quot; in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely &quot;labour budgeting&quot; to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>' $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/a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180.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 | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande | Im4change.org</title> <meta name="description" content=" -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in..."/> <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>A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande</strong></h1> </td> </tr> <tr> <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3"> <div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p> </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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It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) 20039, 'metaTitle' => 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'metaKeywords' => 'NREGS,NREGA,Poverty', 'metaDesc' => ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...', 'disp' => '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>', 'lang' => 'English', 'SITE_URL' => 'https://im4change.in/', 'site_title' => 'im4change', 'adminprix' => 'admin' ] $article_current = object(App\Model\Entity\Article) { 'id' => (int) 20039, 'title' => 'A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande', 'subheading' => '', 'description' => '<div align="justify"> -The Indian Express </div> <p align="justify"> <br /> Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism. </p> <p align="justify"> To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised. </p> <p align="justify"> In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. </p> <p align="justify"> As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. </p> <p align="justify"> The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have. </p> <p align="justify"> In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. </p> <p align="justify"> The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. </p> <p align="justify"> This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. </p> <p align="justify"> So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. </p> <p align="justify"> <em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em> </p>', 'credit_writer' => 'The Indian Express, 27 March, 2013, http://www.indianexpress.com/news/a-scheme-for-the-poor-not-a-poor-scheme/1093753/', 'article_img' => '', 'article_img_thumb' => '', 'status' => (int) 1, 'show_on_home' => (int) 1, 'lang' => 'EN', 'category_id' => (int) 16, 'tag_keyword' => '', 'seo_url' => 'a-scheme-for-the-poor-not-a-poor-scheme-neelakshi-mann-and-varad-pande-20180', '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) 20180, '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) {} ], 'category' => object(App\Model\Entity\Category) {}, '[new]' => false, '[accessible]' => [ '*' => true, 'id' => false ], '[dirty]' => [], '[original]' => [], '[virtual]' => [], '[hasErrors]' => false, '[errors]' => [], '[invalid]' => [], '[repository]' => 'Articles' } $articleid = (int) 20039 $metaTitle = 'LATEST NEWS UPDATES | A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande' $metaKeywords = 'NREGS,NREGA,Poverty' $metaDesc = ' -The Indian Express Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in...' $disp = '<div align="justify">-The Indian Express</div><p align="justify"><br />Of late, there has been much public debate around the effectiveness of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), particularly on its targeting of the poor and the socioeconomic profile of its beneficiaries (most notably in this newspaper). It is important to look at these claims closely, not as much to counter them but as to present the real picture that has been undermined by often-unsubstantiated criticism.</p><p align="justify">To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised.</p><p align="justify">In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable.</p><p align="justify">As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families.</p><p align="justify">The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have.</p><p align="justify">In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India.</p><p align="justify">The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market.</p><p align="justify">This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions.</p><p align="justify">So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India.</p><p align="justify"><em>Neelakshi Mann and Varad Pande are with the Union ministry of rural development</em></p>' $lang = 'English' $SITE_URL = 'https://im4change.in/' $site_title = 'im4change' $adminprix = 'admin'
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A scheme for the poor, not a poor scheme-Neelakshi Mann and Varad Pande |
-The Indian Express
To begin with, it is important to keep in mind that the fundamental design of MGNREGA is based on universalisation, that is, any rural household, irrespective of caste, economic status etc, whose adult members are willing to do unskilled manual work, is eligible for work under the programme for up to 100 days a year. The thinking is that this built-in "self-targeting" mechanism makes the programme relatively more attractive to the most poor and marginalised. In this article, we analyse whether this targeting is being achieved. Overall, available credible evidence, including from the NSSO, UNDP and many other independent studies, suggests that MGNREGA does a fairly successful job of targeting the poorest and the most vulnerable. As per the 2009-10 National Sample Survey Office report on employment, it is the poor who are benefiting more from MGNREGA. Dutta et al (2012), while analysing the NSSO data, note that the participation rate - that is, the share of households working on MGNREGA - is much higher among the poor; 34 per cent of people in the poorest quintile (bottom 20 per cent households) benefited from MGNREGA, versus 14 per cent in the richest quintile (top 20 per cent). In fact, nearly three-quarters of workers are from the poorest 60 per cent of households. Field studies at the micro level find the same trend - a study conducted in Uttar Pradesh by IIM-Lucknow found that around 85 per cent of the scheme's beneficiaries were from below poverty line (BPL) families. The NSSO data does note that some households with higher Monthly Per Capita Expenditure (MPCE) participate in the scheme, as mentioned above. However, these are far fewer and could possibly reflect households who have been affected by recent economic shocks. It is also useful to note what "well off" means in the rural Indian context - a person on the 60th percentile in rural India has a MPCE of Rs 1,001, as per NSSO's 66th round in 2009-10, very far from any notion of "well off" that we may have. In terms of MGNREGA reaching the marginalised and most vulnerable groups, the evidence is again encouraging. For example, according to the MGNREGA MIS, the participation rate of SCs and STs in MGNREGA is consistently over 40 per cent and far exceeds their share in the population. A panel survey on MGNREGA conducted by NSSO between 2009-11 in the three states of Andhra Pradesh, Madhya Pradesh and Rajasthan finds that more than 90 per cent of the beneficiaries of MGNREGA belonged to SC, ST and OBC households. Dutta et al corroborate this finding. They find that the average participation rate of SCs, STs and OBCs exceeds the participation rate of "others" by 12.4 per cent, though there are inter-state variations. The evidence on inclusion goes beyond this as well. A survey led by Reetika Khera and Jean Dreze, conducted in six states, found that 81 per cent of MGNREGA workers lived in kachcha houses and 72 per cent had no electricity at home. The CAG report on MGNREGA, which is going to be tabled in Parliament shortly, may well provide further evidence that MGNREGA is effectively reaching the most marginalised sections of rural India. The evidence on the participation of women, another key marginalised group, is possibly even more conclusive. The participation rate of women in MGNREGA has consistently been around 50 per cent. In fact, the participation rate of women in MGNREGA in 2009-10 (48 per cent) was more than double their participation in the casual labour market (23 per cent), based on NSSO data. Clearly, MGNREGA is providing employment to women who would otherwise not have participated in the labour market. This is not to say that inclusion and provision of employment under MGNREGA cannot be improved. There is evidence of "rationing" in MGNREGA, that is, unmet demand and denial of employment, especially in the poorer states, which limits the benefits of the scheme. This is a complex issue that arises due to low awareness among beneficiaries, lower state capacity and weaker local government institutions in these states, and must be addressed. The MGNREGA 2.0 agenda attempts to address some of these concerns by, for example, better and more timely "labour budgeting" to estimate the quantum and timing of works, availability of professional human resources (for example, dedicated cluster facilitation teams), and building capacity of panchayati raj institutions. So while a lot more needs to be done, there is enough evidence to suggest that contrary to perception in certain quarters, MGNREGA has been fairly successful in reaching the poor and the most marginalised in rural India. Neelakshi Mann and Varad Pande are with the Union ministry of rural development |