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
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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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                <strong>Number theory: Knots in India-China trade data -Surendar Singh and Ram Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu Business Line</p><p style="text-align:justify"><em>Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.</em></p><p style="text-align:justify">The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to &lsquo;under-invoicing&rsquo; by Indian importers for the imports originating from China.</p><p style="text-align:justify">There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data.</p><p style="text-align:justify">Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country.</p><p style="text-align:justify">These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies.</p><p style="text-align:justify">Please <a href="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece" title="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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                <strong>Number theory: Knots in India-China trade data -Surendar Singh and Ram Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu Business Line</p><p style="text-align:justify"><em>Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.</em></p><p style="text-align:justify">The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to &lsquo;under-invoicing&rsquo; by Indian importers for the imports originating from China.</p><p style="text-align:justify">There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data.</p><p style="text-align:justify">Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country.</p><p style="text-align:justify">These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies.</p><p style="text-align:justify">Please <a href="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece" title="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.

The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed..."/>
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                <strong>Number theory: Knots in India-China trade data -Surendar Singh and Ram Singh</strong></h1>
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                <p style="text-align:justify">-The Hindu Business Line</p><p style="text-align:justify"><em>Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.</em></p><p style="text-align:justify">The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to &lsquo;under-invoicing&rsquo; by Indian importers for the imports originating from China.</p><p style="text-align:justify">There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data.</p><p style="text-align:justify">Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country.</p><p style="text-align:justify">These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies.</p><p style="text-align:justify">Please <a href="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece" title="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece">click here</a> to read more.&nbsp;<br />&nbsp;</p>               </font>
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		'description' => '<p style="text-align:justify">-The Hindu Business Line</p>

<p style="text-align:justify"><em>Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.</em></p>

<p style="text-align:justify">The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to &lsquo;under-invoicing&rsquo; by Indian importers for the imports originating from China.</p>

<p style="text-align:justify">There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data.</p>

<p style="text-align:justify">Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country.</p>

<p style="text-align:justify">These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies.</p>

<p style="text-align:justify">Please <a href="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece">click here</a> to read more.&nbsp;<br />
&nbsp;</p>
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Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.

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<p style="text-align:justify"><em>Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.</em></p>

<p style="text-align:justify">The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to &lsquo;under-invoicing&rsquo; by Indian importers for the imports originating from China.</p>

<p style="text-align:justify">There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data.</p>

<p style="text-align:justify">Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country.</p>

<p style="text-align:justify">These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies.</p>

<p style="text-align:justify">Please <a href="https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece">click here</a> to read more.&nbsp;<br />
&nbsp;</p>
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Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors.

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Number theory: Knots in India-China trade data -Surendar Singh and Ram Singh

-The Hindu Business Line Under-invoicing of imports is just one part of the story. Data asymmetries have many other factors. The trade data mismatch of India and China has attracted wide coverage from both electronic and print media. This mismatch is attributed to ‘under-invoicing’ by Indian importers for the imports originating from China. There is mismatch of $12 billion with China reporting its exports to India over $103 billion. Indian agencies, on the contrary, are reporting their Chinese imports at $92 billion. This reflects significant asymmetries in international trade statistics, and they can occur for a variety of reasons. This needs understanding of not only the conceptual discrepancies across measurement standards but also of established norms of data collection, tabulation, curation and presentation, which may also lead to potential discrepancies in trade data. Additionally, one needs to understand trading practices, logistics channels and cross-country trading patterns due to financial, operational and logistical ease of a particular country. These discrepancies in international trade statistics can result in ill-informed policy decisions. Under-invoicing, as reported, can be only one reason among many others for trade data anomalies. Please click here to read more.