摘要
基于2003—2016年中国270个地级市的绿色专利与PM2.5浓度年均值数据,采用S-GMM和动态空间计量模型考察绿色技术进步对雾霾污染的影响。实证研究表明我国城市雾霾污染与绿色技术进步均呈现出显著的空间相关性,本地绿色技术进步显著降低PM2.5浓度,而邻地绿色技术进步不利于本地雾霾污染问题的改善。稳健性检验结果强化了基准回归得到的结论。要确保雾霾污染得到根本治理,需要进一步构建协同发展机制、优化市场环境,推动绿色技术创新与升级。
Using data about green patents and PM2.5 concentration of 270 prefecture-level cities in China from 2003 to 2016,this paper analyzes the effect of green technology progress on smog pollution by adopting S-GMM and dynamic spatial econometric model.The result shows that both smog pollution and green technology progress in China have a prominent correlation in space-the local green technology progress significantly reduces PM2.5 concentration,while the adjacent green technology progress is not conducive to the improvement of local smog pollution.The results of robustness test strengthen the conclusion of benchmark regression.To ensure that smog pollution is fundamentally controlled,it is necessary to further construct a coordinated development mechanism,optimize the market environment,and promote green technological innovation and upgrading.
作者
李风琦
龚娟
LI Feng-qi;GONG Juan(Hunan Federation of Social Sciences, Changsha, Hunan 410003;School of Economics, Zhejiang University, Hangzhou, Zhejiang 310000, China)
出处
《湘潭大学学报(哲学社会科学版)》
CSSCI
北大核心
2021年第1期82-86,92,共6页
Journal of Xiangtan University:Philosophy And Social Sciences
基金
湖南省社科基金一般项目“土地资源错配影响绿色全要素生产率的机制与政策研究”(19YBA208)。
关键词
雾霾污染
绿色技术进步
动态空间计量模型
绿色专利授权数
smog pollution
green technology progress
dynamic spatial econometric model
number of green patents granted