4.6 Article

Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis

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

资金

  1. Philosophy and Social Science Leader Project of Xing Liao Ying Cai Program in Liaoning Province [XLYC1804005]
  2. Major Program of National Social Science Fund of China [18ZDA095]
  3. National Natural Science Foundation of China [71901048, 71871040]
  4. Humanities and Social Sciences Research Project of the Ministry of Education in China [16YJCZH124, 17YJCZH218, 19YJC910 003]
  5. National Statistical Science Research Project [2018609]
  6. Humanities and Social Sciences Key Funding Project of Universities in Zhejiang Province [2016QN005]

向作者/读者索取更多资源

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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