LAPSE:2023.25706
Published Article
LAPSE:2023.25706
Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation
Peng Hou, Yilin Li, Yong Tan, Yuanjie Hou
March 29, 2023
The empirical conclusions regarding the relationship between energy price and energy efficiency are relatively mixed. This paper systematically examines the influence of energy price on energy efficiency in China based on data from 30 provinces between 2003 and 2017, using linear and nonlinear effect analysis. We found that the impact of energy price on energy efficiency in China was positive in general. However, there existed heterogeneous effects of energy price on energy efficiency in various regions, and the effect differed with differences in energy efficiency levels based on the panel quantile regression analysis. Finally, the nonlinear effect analysis based on the panel threshold model indicated that the effect of energy price on energy efficiency increased with the rise of the environmental regulation level and economic growth rate, while it decreased with the ascent of the degree of energy price distortion and economic development level. In particular, when the value of a region’s economic development level and economic growth rate was within a certain range, the impact was not statistically significant. Overall, these findings contribute to a deeper understanding regarding the effect of energy price on energy efficiency in China.
Keywords
Energy Efficiency, energy price, linear effect, nonlinear effect, panel quantile regression, panel threshold regression
Suggested Citation
Hou P, Li Y, Tan Y, Hou Y. Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation. (2023). LAPSE:2023.25706
Author Affiliations
Hou P: School of Economics and Management, Beijing Forestry University, Beijing 100083, China [ORCID]
Li Y: School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Tan Y: Department of Accounting, Finance and Economics, Huddersfield Business School, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK [ORCID]
Hou Y: School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4068
Year
2020
Publication Date
2020-08-06
Published Version
ISSN
1996-1073
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PII: en13164068, Publication Type: Journal Article
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doi:10.3390/en13164068
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