摘要
依据中国30个省级面板数据,采用系统广义矩估计方法(GMM),考量智慧交通对绿色经济增长的影响。结果显示:智慧交通通过降低能源消耗、提升碳排放效率和技术创新等,对绿色经济增长作用显著,其中交通基础设施的完善影响尤为突出。异质性分析表明,智慧交通对绿色经济增长效应区域异质性明显。鉴于此,应因地制宜,制定智慧交通发展政策,优先发展交通基础设施,加大智慧交通建设力度,推动交通绿色低碳转型。
This study is based on the theoretical framework of smart transportation and green economic growth,using the System Generalized Moment Estimation(SYS-GMM)model as an analytical tool.Based on panel data from 30 provinces in China,the potential impact and mechanism of smart transportation on green economic growth are deeply explored.The results indicate that smart transportation has a significant promoting effect on green economic growth,and this effect exhibits significant regional heterogeneity.In addition,among the six sub-dimensions of smart transportation,the improvement of transportation infrastructure has a particularly prominent impact on green economic growth.Finally,smart transportation mainly affects green economic growth through three paths:reducing energy consumption,improving carbon emission efficiency,and promoting technological innovation.
作者
易宣辰
金友良
YI Xuanchen;JIN Youliang(School of Economics and Management,Hunan Industry Polytechnic,Changsha,Hunan 410208,China;School ofBusiness,Central South University,Changsha,Hunan 410083,China)
出处
《财经理论与实践》
CSSCI
北大核心
2024年第4期153-160,共8页
The Theory and Practice of Finance and Economics
基金
湖南省自然科学基金科教联合项目(2022JJ60039)。
