排污征费对绿色全要素生产率的影响效应研究——基于GPSM的政策效应评估  

Study on the Effect of Pollution Charges to Green Total Factor Productivity——The Impact Evaluation of the Policy Based on Generalized Propensity Score Matching

作　　者：胡宗义[1] 张丽娜 李毅[1] HU Zongyi;ZHANG Lina;LI Yi(College of Finance and Statistics,Hunan University,Changsha,Hunan 410079,China)

机构地区：[1]湖南大学金融与统计学院,湖南长沙410079

出　　处：《财经理论与实践》2019年第6期9-15,共7页The Theory and Practice of Finance and Economics

基　　金：教育部人文社会科学研究规划项目(17YJA790030);湖南省研究生科研创新项目(CX2018B157)。

摘　　要：选取中国1997-2016年的省际面板数据,采用连续变量的广义倾向得分匹配方法,考察排污征费这一环境规制政策对绿色全要素生产率的影响。结果显示:排污征费强度与绿色全要素生产率之间存在“U形”的关系,即随着排污征费强度的提升,绿色全要素生产率呈先下降后上升的趋势,超过一定适宜强度的排污征费才能促进绿色全要素生产率的提升。This paper selects the provincial panel data of China from 1997 to 2016,and uses the generalized propensity score matching method of continuous variables to investigate the impact of the environmental regulation policy of pollution charges to green total factor productivity.The empirical results show that there is a"U-shaped"relationship between the intensity of the pollution charges and the green total factor productivity,that is,the green total factor productivity tends to decrease first and then rises with the increase of the intensity of the sewage levy.Exceeding an appropriate intensity can promote the improvement of green total factor productivity.

关 键 词：排污费征收 绿色全要素生产率 政策效应 广义倾向得分匹配法 

分 类 号：F061.2[经济管理—政治经济学]