Assessing the green energy development in China and its carbon reduction effect: Using a quantile approach

Bin Xu and Boqiang Lin ()

Energy Economics, 2023, vol. 126, issue C

Abstract: Developing green energy has become a critical way to deal with energy shortage and global warming. The objective is to investigate the driving factors of green energy development in China, and further evaluate the role of green energy in carbon reduction. This article uses the data-driven nonparametric model to investigate green energy development, and obtains several interesting results. (1) Technological progress has the greatest impact on the green energy development in Ningxia, Jilin, and Jiangxi provinces, due to faster R&D investment. (2) The changes in oil prices have a larger driving effect on green energy development in Heilongjiang, Liaoning, Shanxi, and Beijing. (3) Fixed asset investment contributes the most to the energy-rich provinces such as Shaanxi, Xinjiang, Inner Mongolia, and Gansu, because of faster investment in energy infrastructure. (4) The provinces with low green energy production face greater environmental pressure, owing to excessive reliance on fossil fuels. (5) Finally, the results display that the carbon reduction effect of green energy development is not prominent, on account of less green energy consumption. These empirical findings provide policy implications for China's effective promotion of green energy.

Keywords: Driving factors; Green energy development; CO2 emission reduction; Quantile regression approach (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988323004656
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:eneeco:v:126:y:2023:i:c:s0140988323004656

DOI: 10.1016/j.eneco.2023.106967

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().