摘要
为了探究低碳技术创新、经济发展对汽车业碳排放的影响,基于我国新能源汽车较为普及的7个省市2013—2020年的数据,采用静态面板模型和动态面板模型,细致分析低碳技术创新、区域经济发展对汽车业碳排放量的影响,并通过分样本回归检验低碳技术创新、经济发展对燃油车碳排放和新能源车碳排放的异质性影响。研究表明:低碳技术创新对汽车业碳排放量有显著负向影响,区域经济发展对汽车业碳排放量有显著正向影响;汽车业碳排放具有延续性特征,受前期排放量的影响较大;低碳技术水平的进步可以更有效地促进燃油车的碳减排,而经济发展水平的提高则会更显著影响新能源汽车的碳减排。
In order to explore the impact mechanism of technological innovation and economic development on China′s transportation carbon emissions,based on the panel data from 2013 to 2020 in seven provinces and cities where new energy vehicles are more popular in China,and use the static panel data model and dynamic panel data model,this paper analyzes the impact of low—carbon technology innovation and regional economic development on the carbon emissions of the automobile industry in detail.In particular,the sub sample regression is applied to explore the heterogeneity between the carbon emissions of fuel vehicles and new energy vehicles.The research results show that:technological progress has a significant negative impact on traffic carbon emissions;The economic development has a significant positive impact on the traffic carbon emissions;The carbon emission has the characteristics of continuity and is greatly affected by the previous emissions.The development of low—carbon technology can more effectively promote the carbon emission reduction of traditional fuel vehicles,and the improvement of economic development can significantly affect the carbon emission reduction of new energy vehicles.
作者
卢米雪
赵星麟
王睿
张雨佳
王伊然
徐菀珽
LU Mixue;ZHAO Xinglin;WANG Rui;ZHANG Yujia;WANG Yiran;XU Wanting(Hubei University of economics School of Statistics and Mathematics,Wuhan Hubei 430205,China;Hubei University of economics School of Low Carbon Economics,Wuhan Hubei 430205,China)
出处
《交通节能与环保》
2024年第2期94-99,共6页
Transport Energy Conservation & Environmental Protection
关键词
汽车业碳排放
低碳技术创新
区域经济发展
动态面板模型
automobile industry carbon emission
low carbon technology innovation
regional economic development
dynamic panel data model
