EconPapers    
Economics at your fingertips  
 

Climate risk and energy-saving technology innovation: Evidence from Chinese prefecture-level cities

Li Xie and Siyi Li

Energy Economics, 2024, vol. 139, issue C

Abstract: In the face of the challenges of energy and environmental issues posed by climate risk, actively promoting energy-saving technology innovation is crucial in addressing climate risk. This study focuses on the electricity elements as the research object, and examines the impact of climate risk on energy-saving technology innovation by constructing a Spatial Durbin Model, using 2007–2021 data on temperature and electricity-saving technology patents at the prefecture-level cities in China. The findings reveal that climate risk promotes energy-saving technology innovation. Furthermore, it is discovered that climate risk exhibits significant positive spillover effects on energy-saving technology innovation through the decomposition of spatial effects, implying that the climate risk in neighboring areas has a notable positive influence on local energy-saving technology innovation. Mechanism tests indicate that climate risk directly promotes regional energy-saving technology innovation through increasing energy consumption, research and development (R&D) investment, and strengthening government environmental regulation. Particularly under the influence of climate risk, the increase in energy consumption and R&D investment more effectively drives regional energy-saving technology innovation. Moreover, variances in cities' geographical locations, carbon emission levels, electricity price levels, and electricity resource endowments result in substantial discrepancies in the effect of climate risk on energy-saving technology innovation. Based on these findings, Governments could incorporate climate risk into synergistic regional planning and enhance energy-saving technology innovation to address climate risk.

Keywords: Climate risk; Energy-saving technology innovation; Temperature anomalies; Spatial spillover effects; Spatial Durbin Model (SDM) (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014098832400625X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:139:y:2024:i:c:s014098832400625x

DOI: 10.1016/j.eneco.2024.107917

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s014098832400625x