Analysis on Influencing Factors Decomposition and Decoupling Effect of Power Carbon Emissions in Yangtze River Economic Belt

Jieting Yin and Chaowei Huang ()
Additional contact information
Jieting Yin: School of Information, Beijing Wuzi University, Beijing 101149, China
Chaowei Huang: School of Information, Beijing Wuzi University, Beijing 101149, China

Sustainability, 2022, vol. 14, issue 22, 1-26

Abstract: The power industry is one of the main industries of energy consumption and carbon emissions in the Yangtze River Economic Belt, in order to accelerate the development of green and low-carbon power. This paper takes the power industry in the Yangtze River Economic Belt and the upper, middle and lower reaches from 2000 to 2020 as the research object. Based on the four absolute factors of economy, energy consumption, population and output, the generalized divisia index method (GDIM) is constructed. Combining the decoupling model with the GDIM method, a decoupling effort model is constructed based on the DPSIR framework to incorporate electricity output and economic scale into economic drivers. The main findings are as follows: The lower reaches provide the main contribution area of power carbon emissions, and the high value of carbon emissions tends to migrate eastward. Economy, output and energy consumption scale are the main factors leading to the increase in carbon emissions in the Yangtze River Economic Belt, upper, middle and lower reaches, while carbon intensity and output carbon intensity are the key factors curbing carbon emissions. Among them, economic scale is the largest positive driving factor of carbon emissions in the middle and lower reaches, and output carbon intensity is the largest negative driving factor in the upper reaches. The total decoupling effect index in the upper reaches of the Yangtze River Economic Belt increased the most and achieved decoupling of carbon emissions between 2014 and 2020. From 2016 to 2020, the total decoupling effect index of the upper, middle and lower reaches of the Yangtze River Economic Belt fluctuates within a certain range, and the total decoupling effect index of the power industry has entered a certain pressure period.

Keywords: Yangtze River Economic Belt; power industry; carbon emissions; generalized divisia index method; decoupling effort model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/22/15373/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/22/15373/ (text/html)

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:gam:jsusta:v:14:y:2022:i:22:p:15373-:d:977354

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().