摘要
基于2004—2012年中国工业企业污染排放数据,以SO_(2)排放为例,使用多期双重差分法探讨资源枯竭型城市扶助政策对工业企业污染减排的影响及作用机制。整体而言,资源枯竭型城市扶助政策通过推动企业强化源头防治与末端治理,特别是提升废气治理设施处理能力,能够显著降低SO_(2)排放量。该结果得到平行趋势检验,以及一系列安慰剂检验、稳健性检验的支持。尽管该政策未能使企业转变能源使用结构,但也没有以牺牲经济的方式迫使企业减产。进一步分析发现,该政策对不同产业链位置的企业影响各异,下游企业减排效果更显著,为城市厚植了产业升级的绿色底色。
Based on the data of industrial enterprises'pollution emission in China from 2004 to 2012,and taking SO_(2)emission as an example,this paper discusses the influence and mechanism of supporting policies for resource-exhausted cities on industrial enterprises'pollution reduction by using multi-period double difference method.The research shows that the supportive policy for resource-exhausted cities can significantly reduce SO_(2)emissions by promoting enterprises to strengthen source prevention and end treatment,especially improving the treatment capacity of waste gas treatment facilities.The results are supported by parallel trend test,a series of placebo test and robustness test.Although the policy failed to make enterprises change their energy use structure,it did not force enterprises to reduce production at the expense of the economy,either.Further analysis shows that the policy has a heterogeneous impact on enterprises in different positions in the industrial chain,and downstream enterprises have achieved greater emission reduction effects,which has planted a green background for industrial upgrading in the city.
作者
谌仁俊
吕光岗
陶梦娇
潘瑞
SHEN Renjun;LV Guanggang;TAO Mengjiao;PAN Rui(School of Economics and Business Administration,Central China Normal University,Wuhan 430079,China;Research Center for Low Carbon Economy and Environmental Policy,Central China Normal University,Wuhan 430079,China)
出处
《中南大学学报（社会科学版）》
2024年第6期119-133,共15页
Journal of Central South University：Social Sciences
基金
国家自然科学基金面上项目“环境规制、绿色创新方向与工业污染防治:基于中国企业数据的研究”(72073049)
教育部人文社会科学研究青年基金项目“全过程视角下企业数字化转型的减污降碳协同效应研究”(24YJC790042)。
关键词
资源枯竭型城市
可持续发展
扶助政策
企业减排
产业链
resource-exhausted cities
sustainable development
the supportive policy
emission reduction of enterprises
industrial chain
