{"title":"气候风险与节能技术创新:来自中国地级市的证据","authors":"Li Xie , Siyi Li","doi":"10.1016/j.eneco.2024.107917","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"139 ","pages":"Article 107917"},"PeriodicalIF":13.6000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Climate risk and energy-saving technology innovation: Evidence from Chinese prefecture-level cities\",\"authors\":\"Li Xie , Siyi Li\",\"doi\":\"10.1016/j.eneco.2024.107917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":11665,\"journal\":{\"name\":\"Energy Economics\",\"volume\":\"139 \",\"pages\":\"Article 107917\"},\"PeriodicalIF\":13.6000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S014098832400625X\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014098832400625X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Climate risk and energy-saving technology innovation: Evidence from Chinese prefecture-level cities
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.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.