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: 150
 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]
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: 151
 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]
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]
Warning (2): Cannot modify header information - headers already sent by (output started at /home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php:853) [CORE/src/Http/ResponseEmitter.php, line 148]
Warning (2): Cannot modify header information - headers already sent by (output started at /home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php:853) [CORE/src/Http/ResponseEmitter.php, line 181]
LATEST NEWS UPDATES | Number theory: Knots in India-China trade data -Surendar Singh and Ram Singh

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

Share this article Share this article
published Published on Nov 17, 2022   modified Modified on Dec 14, 2022

-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. 
 


The Hindu Business Line, 17 November, 2022, https://www.thehindubusinessline.com/opinion/knots-in-india-china-trade-data/article66149843.ece
 

Write Comments

Your email address will not be published. Required fields are marked *

*

Video Archives

Archives

share on Facebook
Twitter
RSS
Feedback
Read Later

Contact Form

Please enter security code
      Close