Drivers and trajectories of China’s renewable energy consumption

Jiandong Chen, Chong Xu, Yinyin Wu, Zihao Li and Malin Song ()
Additional contact information
Jiandong Chen: Southwestern University of Finance and Economics
Yinyin Wu: Southwestern University of Finance and Economics
Zihao Li: The University of Chicago
Malin Song: Anhui University of Finance and Economics

Annals of Operations Research, 2022, vol. 313, issue 1, No 17, 459 pages

Abstract: Abstract Renewable energy is significant for addressing climate change and energy security. This study focused on the drivers of China’s renewable energy consumption (REC) by an extended production-theoretical decomposition analysis and emphasized REC technical efficiency and technological change in 28 provinces during 1997–2017. We then projected China’s REC to 2030 based on nine scenarios using a Monte Carlo simulation approach and specifically considering the impacts of the COVID-19 pandemic on the national economy. The decomposition results showed that economic growth and population scale generally contributed to an increase in REC at national and provincial levels over the period while the overall technical efficiency and technological change in REC played limited roles in prompting REC nationally. The projection results indicated that the target that generates 50% of its electricity from renewable energy sources for China, could be achieved by 2030 if enough actions are taken to accelerate renewable energy development. Finally, we provided policy proposals that support our findings.

Keywords: Renewable energy consumption; COVID-19 pandemic; Production-theoretical decomposition analysis; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-021-04131-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:annopr:v:313:y:2022:i:1:d:10.1007_s10479-021-04131-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-021-04131-y

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().