The trend and factors affecting renewable energy distribution and disparity across countries

Zheng Li, Ranran Luan and Boqiang Lin ()

Energy, 2022, vol. 254, issue PB

Abstract: Renewable energy plays a crucial role in clean energy transformation and emission mitigation. It's, therefore, necessary to understand the trend and factors affecting renewable energy distribution and disparity across countries. This paper investigates the development pattern of renewable energy worldwide. It depicted a distributional picture of the world renewable energy using a club convergence algorithm, to form 5 clubs with 78 economies based on the renewable energy generation during 2000–2018. China, the United Kingdom, and the United States are the top economies in renewable energy generation. And most of the economies are in the clubs with less renewable energy generation. With the Dagum Gini coefficient and decomposition method, it is found that the disparities of renewable energy between clubs are increasing, while the disparity within each club is decreasing. Affluence, demand for energy, technology level, industry and population structure are the factors determining the club according to the result of the ordered probit model and the fixed-effects panel regression model. Target recommendations are proposed for international policy formulations on renewable energy based on the results.

Keywords: Renewable energy power generation; Regional disparity; Club convergence algorithm; Dagum Gini coefficient (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222011689
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:energy:v:254:y:2022:i:pb:s0360544222011689

DOI: 10.1016/j.energy.2022.124265

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

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