Literature DB >> 32617812

A study of environmental regulation, technological innovation, and energy consumption in China based on spatial econometric models and panel threshold models.

Huan Zhou1, Shaojian Qu1,2,3, Zhong Wu4, Ying Ji1.   

Abstract

Under different technological innovation modes, regional energy consumption may have spatial heterogeneity. Spatial heterogeneity complicates the nexus between environmental regulation and energy consumption. Traditional spatial homogeneity analysis is hard to describe the nonlinear nexus between them. Based on the data of 30 provinces in China from 2007 to 2017, this paper employs the spatial econometric method and the nonlinear econometric method to investigate the spatial effects and nonlinearity of energy consumption, respectively. The results display that under the current level of economic development, per capita energy consumption has a significant spatial spillover effect. Environmental regulation promotes regional per capita energy consumption in the short term. On the contrary, the technological effect of environmental regulation has significantly reduced Chinese per capita energy consumption. Therefore, energy policy should be tailored to local conditions, and policymakers can strengthen the environmental regulatory system and encourage enterprises to implement green technology innovation.

Keywords:  Energy consumption; Nonlinear econometric method; Spatial econometric method; Spatial heterogeneity

Mesh:

Year:  2020        PMID: 32617812     DOI: 10.1007/s11356-020-09793-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Impact of digital finance on energy efficiency: empirical findings from China.

Authors:  Zitian Fu; Yujiao Zhou; Weifeng Li; Kaiyang Zhong
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-08       Impact factor: 5.190

2.  Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China.

Authors:  Senlin Hu; Gang Zeng; Xianzhong Cao; Huaxi Yuan; Bing Chen
Journal:  Int J Environ Res Public Health       Date:  2021-06-05       Impact factor: 3.390

  2 in total

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