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);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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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
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Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
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Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
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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);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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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 Context
            if (Configure::read('debug')) {

                trigger_error($message, E_USER_WARNING);

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		&#039;title&#039; =&gt; &#039;A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;,
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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
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	&#039;metaTitle&#039; =&gt; &#039;LATEST NEWS UPDATES | A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;,
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;,
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	&#039;title&#039; =&gt; &#039;A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;,
	&#039;subheading&#039; =&gt; null,
	&#039;description&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
&#039;,
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;
$disp = &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;
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                <strong>A hazy picture on employment in India -Ramesh Chand and Jaspal Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p><p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p><p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p><p style="text-align:justify"><em>Employment patterns</em></p><p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p><p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p><p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p><p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p><p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p><p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true" title="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;,
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	&#039;title&#039; =&gt; &#039;A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;,
	&#039;subheading&#039; =&gt; null,
	&#039;description&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
&#039;,
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$metaTitle = &#039;LATEST NEWS UPDATES | A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;
$disp = &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;
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                <strong>A hazy picture on employment in India -Ramesh Chand and Jaspal Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p><p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p><p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p><p style="text-align:justify"><em>Employment patterns</em></p><p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p><p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p><p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p><p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p><p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p><p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true" title="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;,
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	&#039;title&#039; =&gt; &#039;A hazy picture on employment in India -Ramesh Chand and Jaspal Singh&#039;,
	&#039;subheading&#039; =&gt; null,
	&#039;description&#039; =&gt; &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
&#039;,
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....&#039;
$disp = &#039;&lt;p style=&quot;text-align:justify&quot;&gt;-The Hindu&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;The trends in employment have not shown any clear and consistent patterns over the years&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;&lt;em&gt;Employment patterns&lt;/em&gt;&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.&lt;/p&gt;&lt;p style=&quot;text-align:justify&quot;&gt;Please &lt;a href=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot; title=&quot;https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true&quot;&gt;click here&lt;/a&gt; to read more.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;&#039;
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                <strong>A hazy picture on employment in India -Ramesh Chand and Jaspal Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p><p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p><p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p><p style="text-align:justify"><em>Employment patterns</em></p><p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p><p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p><p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p><p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p><p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p><p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true" title="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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		'description' => '<p style="text-align:justify">-The Hindu</p>

<p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p>

<p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p>

<p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p>

<p style="text-align:justify"><em>Employment patterns</em></p>

<p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p>

<p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p>

<p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p>

<p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p>

<p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p>

<p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p>

<p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />
&nbsp;</p>
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The trends in employment have not shown any clear and consistent patterns over the years

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	'title' => 'A hazy picture on employment in India -Ramesh Chand and Jaspal Singh',
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	'description' => '<p style="text-align:justify">-The Hindu</p>

<p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p>

<p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p>

<p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p>

<p style="text-align:justify"><em>Employment patterns</em></p>

<p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p>

<p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p>

<p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p>

<p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p>

<p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p>

<p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p>

<p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />
&nbsp;</p>
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$metaTitle = 'LATEST NEWS UPDATES | A hazy picture on employment in India -Ramesh Chand and Jaspal Singh'
$metaKeywords = 'Employment Generation,Unemployment Rate,National Sample Survey Office,NSSO,PLFS,Periodic Labour Force Survey,Worker to Population Ratio,WPR'
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The trends in employment have not shown any clear and consistent patterns over the years

The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce....'
$disp = '<p style="text-align:justify">-The Hindu</p><p style="text-align:justify"><em>The trends in employment have not shown any clear and consistent patterns over the years</em></p><p style="text-align:justify">The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern.</p><p style="text-align:justify">The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output.</p><p style="text-align:justify"><em>Employment patterns</em></p><p style="text-align:justify">But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment.</p><p style="text-align:justify">Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point.</p><p style="text-align:justify">Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics.</p><p style="text-align:justify">PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate.</p><p style="text-align:justify">It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20.</p><p style="text-align:justify">Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas.</p><p style="text-align:justify">Please <a href="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true" title="https://www.thehindu.com/opinion/op-ed/a-hazy-picture-on-employment-in-india/article38354755.ece?homepage=true">click here</a> to read more.&nbsp;<br />&nbsp;</p>'
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A hazy picture on employment in India -Ramesh Chand and Jaspal Singh

-The Hindu The trends in employment have not shown any clear and consistent patterns over the years The two important indicators of structural transformation in any economy are rates of growth and changes in the structural composition of output and the workforce. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern. The growth rate of the economy, measured by gross value added (GVA) at constant prices, accelerated from 4.27% in the 20 years before the economic reforms to 6.34% in the 20 years following the reforms and to 6.58% between 2010-11 and 2019-20 at 2011-12 prices. This growth trajectory was accompanied by a steady decline in the share of agriculture from 30% in 1990-91 to 18% in 2019-20 and a steady increase in the share of non-agriculture output in total economic output. Employment patterns But when it comes to deciphering trends in employment pattern in India, there are wide variations in the conclusions drawn by experts and studies on employment. This is partly due to economical, sociological and technological factors that have brought about changes in the workforce and employment and partly due to gaps in data on various aspects of employment. Two major sources of data on workforce and employment have been the decennial population census and the nationwide quinquennial surveys on employment and unemployment by the National Sample Survey Office (NSSO). The last available data from the Census refer to 2011. Similarly, the quinquennial NSSO data on employment and unemployment are available up to 2011-12. This was replaced by the Periodic Labour Force Survey (PLFS), started in 2017-18 on an annual basis. The PLFS data set is now available for three consecutive years i.e., 2017-18, 2018-19 and 2019-20. The PLFS is based on a different sampling framework and uses s different analytical approach vis-a-vis NSSO surveys on employment. As a result, the time series data on employment and unemployment available from NSSO surveys are not comparable with PLFS data. At best, the NSSO data can be used as a reference point. Though the PLFS data cannot be used to infer an underlying trend, as they are available only for three years, they can be used to reveal the effect of various policies and developments during the current NDA regime as well as to understand and shape the employment scenario based on concrete statistics. PLFS data show an increase in the worker to population (WPR) ratio from 34.7% in 2017-18 to 38.2% in 2019-20. This is a reversal of the previous trend which showed a decline in WPR after 2004-05. The change also implies that employment has increased at a much faster rate than growth in population. The increase in WPR has been reported in the rural and urban population and in the male and female population. This increase in WPR is even more significant as it has occurred in the midst of an increase in the labour force participation rate. It is interesting to note that the data from the PLFS surveys do not support the assertion that women are going out of the workforce. Female WPR ratio increased from 17.5% to 24% between 2017-18 and 2019-20. When this ratio is multiplied by the female population, it shows an annual increase of 17% of women workers. Another positive indication from PLFS data is that the gap between the male and female worker participation rate is narrowing down. As against 100 male workers, there were 32 female workers in the workforce in 2017-18. This number increased to 40 in 2019-20. Women constituted 24% of the workforce in the country in 2017-18 and 28.8% in 2019-20. Also, the unemployment rate in the female labour force in rural areas is far lower than the male labour force, whereas the opposite holds true in urban areas. This is despite the fact that the female labour force participation rate in rural India is 33% higher than the rate in urban areas. The reason could be that there is less gender discrimination in informal jobs, which dominate rural areas, than in the formal sector which dominates urban areas. Please click here to read more.