Research on the dynamic relationship between China's renewable energy consumption and carbon emissions based on ARDL model
Liping Wang
Resources Policy, 2022, vol. 77, issue C
Abstract:
In order to promote the adjustment of energy consumption structure and achieve the national emission reduction target, the paper takes China as the research object, collects data from 2007 to 2019, and uses ARDL (autoregressive distributed lag) model and Granger causality test methods to explore the equilibrium relationship of regional renewable energy consumption and carbon dioxide emissions. Conclusions as follows: (1) The boundary test of the ARDL model confirms that when renewable energy consumption is used as the explained variable, the boundary test results are not significant, and when carbon emissions are used as the explained variable, the boundary test results are significant, confirming the impact of China's renewable energy consumption on carbon emissions is significant; (2) The long-term elasticity coefficient of China's renewable energy consumption on carbon emissions is negative, and passed the significance test, indicating that renewable energy consumption has a significant negative effect on carbon emissions in long-term. The short-term elasticity coefficient is also negative, but did not pass the significance test, indicating that the short-term impact on renewable energy consumption is not statistically significant. (3) when the lag period is 1, 2, 3, and 4 years, Chinese renewable energy consumption constitutes the Granger reason for the carbon emission intensity; when the lag period is 3, 4 years, the carbon emission intensity constitutes the Granger reason for the change in renewable energy consumption; and when the lag period is one or two years, the carbon emission intensity does not constitute the Granger reason for the change in renewable energy consumption. Understanding the relationship between regional renewable energy consumption and carbon emissions in China is conducive to balancing regional and alleviating the conflict between regional low-carbon development and instability, helping to achieve nationwide carbon emission reduction commitments in advance, and formulating regional development policies according to local conditions.
Keywords: ARDL model; Carbon emissions; Renewable energy consumption; Dynamic relationship (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420722002124
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722002124
DOI: 10.1016/j.resourpol.2022.102764
Access Statistics for this article
Resources Policy is currently edited by R. G. Eggert
More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().