Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Several studies have quantified the carbon dioxide (CO emissions associated with energy consumption, agriculture value added, food crop production, forest covered area, and forest production in various countries. However, past studies have ignored the long-term and short-term effects of these factors on CO. This study used data from 1980 to 2018 and applied the autoregressive distributed lag model (ARDL) technique to test long-run and short-run effects of these factors on CO emission in the Pakistani context. The results revealed that in short-run food crop production, forest covered area and forest production have capacity to reduce CO emission. However, in long run, energy consumption and agriculture value added along with food crop production, forest covered area, and forest production are negatively and significantly related to CO emission which shows that these sectors, in long run, have capacity to mitigate emissions. Additionally, results also show that food crop production and forest covered area are more effective to reduce CO emission as compared to other sectors. The robustness of the results was supported by using additional models and tests. This study provides scholars with valuable insights and also helps government authorities and policymakers to develop comprehensive strategies to reduce carbon emissions.
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Source |
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http://dx.doi.org/10.1007/s10661-021-09523-y | DOI Listing |
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