4.7 Article

Energy consumption and the influencing factors in China: A nonlinear perspective

期刊

JOURNAL OF CLEANER PRODUCTION
卷 249, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.119375

关键词

Energy consumption; Energy Kuznets curve; Threshold model; Government expenditure

资金

  1. National Natural Science Foundation of China [71603086]
  2. Funds for the Central Universities in China [XYMS201903]
  3. Ministry of Education of China [10JBG013]
  4. China National Social Science Fund [17AZD013]

向作者/读者索取更多资源

Different from many studies on Energy Kuznets Curve, this paper does not directly consider income factor but conducts a nonlinear study on per capita primary energy consumption and electricity consumption in China, whose economic development is considered investment-driven, in which government macroeconomic policies, especially government expenditure plays a very important role. In particular, this paper attempts to compare the different impacts of government expenditures and the other influencing factors on energy consumption. Based on the results of the threshold regression, in the future, with the further development of the economy, the driving force of labor population growth will slow down. Comparing with primary energy, the relationship between electricity consumption and its influencing factors will change later, and the difference in the effects of the influencing factors is mainly reflected in the formation of capital stock (investment) and the development of urbanization. Government expenditure on private goods may not be always as inefficient in energy consumption and cleaner production as previously thought in the literature. Meanwhile, the growth of government expenditure on public goods will become a powerful driving factor which indicates that the government needs to assess its overall impact on energy consumption and energy efficiency when participating in the provision of public goods. The paper also found that when studying the issue of energy consumption and regional differences in China, the geographic classification of eastern, central and western regions may not be appropriate. Grouping according to energy consumption levels may be one of the better options. And the distribution of energy consumption levels in China's provinces is consistent with the distribution of government expenditure levels. The estimation results also provide us with important policy implications: the government expenditure in education is of great importance, and it can produce a strong energy-saving effect through technological progress. (C) 2019 Published by Elsevier Ltd.

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