期刊
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
卷 52, 期 -, 页码 206-220出版社
ELSEVIER
DOI: 10.1016/j.strueco.2019.11.002
关键词
Electricity consumption; Technological progress; Upgrading of industrial structure; Spatial correlation; Heterogeneity analysis
类别
资金
- Philosophy and Social Science Leader Project of Xing Liao Ying Cai Program in Liaoning Province [XLYC1804005]
- Major Program of National Social Science Fund of China [18ZDA095]
- National Natural Science Foundation of China [71901048, 71871040]
- Humanities and Social Sciences Research Project of the Ministry of Education in China [16YJCZH124, 17YJCZH218, 19YJC910 003]
- National Statistical Science Research Project [2018609]
- Humanities and Social Sciences Key Funding Project of Universities in Zhejiang Province [2016QN005]
The increase of electricity consumption not only leads to economic growth, but also pollutes environment due to the heavy dependence on fossil fuels. How to reduce the electricity consumption without affecting the economic development is a challenging and pivotal issue. Relevant empirical evidence is scarce, so this paper deepens the understanding of two paths to decrease electricity consumption: technological progress and upgrading of industrial structure based on spatial and heterogeneity analyses. By constructing two spatial panel models, results show that electricity consumption among provinces in China is positively spatial-related and has certain path-dependent characteristics. To promote the technological progress and optimize the industrial structure are two effective solutions to reduce electricity consumption, and the latter channel plays a more important role. Heterogeneity among different regions and grid service zones exists obviously. (C) 2019 Elsevier B.V. All rights reserved.
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