4.7 Article

Would income inequality affect electricity consumption? Evidence from China

期刊

ENERGY
卷 142, 期 -, 页码 215-227

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2017.10.027

关键词

Urban-rural inequality; Electricity consumption; Theil index; Panel data; China

资金

  1. National Natural Science Foundation of China [71403015, 71521002]
  2. Beijing Natural Science Foundation [9162013]
  3. Beijing Social Science Foundation [17JDYJA009]
  4. National Key Research and Development Program of China [2016YFA0602801, 2016YFA0602603]
  5. Beijing institute of Technology [201510007082]
  6. Beijing Municipal Commission of Education

向作者/读者索取更多资源

Recently the expansion of urban-rural income inequality and the rapid growth of fossil-energy consumption have become two significant challenges China should address to achieve its ambitious goals. For the first time, this study uses the Chinese provincial panel data during the period of 1996-2013 to perform a quantitative analysis on the relationship between the urban-rural income gap and the per capita electricity consumption. Fully considering the potential endogeneity problem, this paper uses the orthogonal-difference Generalized Method of Moments (GMM) as the benchmark estimation method. To ensure the robustness of the estimations, the Theil index and per capita urban-rural income are utilized to measure the urban-rural income gap. The estimation results indicate that the influences of urban-rural income inequality on electricity depend on the income level. At the current stage of economic development, the income disparity has significantly negative impacts on provincial per capita electricity consumption. Moreover, there is also strong evidence for the existence of the inverted U-shaped relationship between per capita electricity consumption and GDP per capita. Furthermore, other economic and social factors, including the enhancement of urbanization and industrialization levels, the adjustment of the population structure, and the development of import-export trade may also promote electricity consumption. (C) 2017 Elsevier Ltd. All rights reserved.

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