RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2017, Vol. 26 >> Issue (05): 657-666.doi: 10.11870/cjlyzyyhj201705002

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ANALYSIS ON THE EXISTENCE AND FACTORS OF CHINA'S PROVINCIAL ENERGY INTENSITY CONVERGENCE CLUB

ZHANG Hua-ming1, WANG Yu-xin2, ZHANG Cong-cong1   

  1. 1. School of Economy, Shanxi University of Finance & Economics, Taiyuan 030006, China;
    2. Department of Economics and Management, Taiyuan Institute of Technology, Taiyuan 030008, China
  • Received:2016-11-09 Revised:2017-02-27 Online:2017-05-20
  • Supported by:
    National Natural Science Foundation of China (71173141);Humanities and Social Science Project of Chinese Ministry of Education (15YJCZH046)

Abstract: There is a great difference between resource endowment, energy consumption and economic growth form in China, which makes energy intensity significantly differ between regions. It is important to reveal whether the presence of energy intensity level of each regional economic growth in China is similar to the convergence of nature, whether a certain club convergence phenomenon for the implementation of energy policy differentiation exists. In this paper, the specific data of energy intensity level in 30 provinces in China from 2000 to 2014 were taken as the starting point. First, the spatial correlation of energy intensity level in China was explained theoretically. Then we constructed the correlation model to carry on the empirical research and the examination to the existence of China's comprehensive and sub-provincial energy intensity convergence clubs from 2000 to 2014. At the same time, the effects of the secondary industry output value (SEN), fixed asset investment (TZ), R&D expenditure (R&D) and foreign direct investment (FDI) on energy intensity convergence were forecasted. The results showed that the energy intensity gap between provinces and cities in China was gradually reduced, and there was a spatial phenomenon of provincial energy intensity convergence of the club. It also showed that the effect of economic variables on energy intensity in different regions was different. Therefore, in the development of energy-related policies, we must consider the objective differences in different regions, which targeted the implementation of differentiated energy policy.

Key words: energy intensity, convergence, spatial panel model

CLC Number: 

  • F240
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