4.7 Article

Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration

期刊

ENERGY
卷 145, 期 -, 页码 408-416

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2018.01.009

关键词

Energy rebound effect; Energy substitution; Dynamic ordinary least square; Yangtze River Delta; Urban agglomeration

资金

  1. National Natural Science Foundation of China [71603084, 71603148, 71472065]
  2. Social Sciences Research
  3. Ministry of Education of China [16YJC790078, 14YJC630026]
  4. Shandong Provincial Natural Science Foundation, China [ZR2016GB10]
  5. Shanghai Planning Office of Philosophy and Social Science [2016EJB003]
  6. Fundamental Research Funds for the Central Universities [2017ECNU-HWFW033]
  7. Key projects of Shanghai soft science Research Program [17692107000]
  8. Shanghai Pujiang Program [14PJC027]

向作者/读者索取更多资源

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. (C) 2018 Elsevier Ltd. All rights reserved.

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