Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration
Xiaoling Ouyang,
Beiying Gao,
Kerui Du and
Gang Du
Energy, 2018, vol. 145, issue C, 408-416
Abstract:
As the most prosperous area and one of China's major economic centers, Yangtze River Delta urban agglomeration (YRDUA) shows the largest concentration of adjacent metropolitan areas in the world. Its energy conservation and emissions reduction efforts are critical for developing a low carbon economy in China. Based on panel data of 14 cities from 2003 to 2013, this study estimates the rebound effect's magnitude in YRDUA's industrial sectors using dynamic ordinary least squares (DOLS) and seemingly unrelated regression (SUR) methods. The empirical results are as follows: (1) Significant substitute relationships exist between energy and capital factors and between energy and labor factors. (2) The own-price elasticity of labor is the most elastic, followed by those of energy and capital. (3) The rebound effect is approximately 40.04%. Evidence suggests that promoting financial development, conducting structural reform in the supply side, and establishing reasonable controls of industrial growth and scale expansion are conducive for energy conservation and pollution alleviation of YRDUA's industrial sectors.
Keywords: Energy rebound effect; Energy substitution; Dynamic ordinary least square; Yangtze River Delta; Urban agglomeration (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544218300094
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:145:y:2018:i:c:p:408-416
DOI: 10.1016/j.energy.2018.01.009
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 ().