环境规制方式及其强度对全要素生产率的影响——基于中国面板数据研究  

作　　者：潘勤华[1] 李樱[1] 胡靖[1] 

机构地区：[1]同济大学经济与管理学院

出　　处：《企业经济》2016年第12期13-18,共6页Enterprise Economy

基　　金：国家自然科学基金项目"碳约束内生条件下的中国最优增长路径选择"(项目编号:71203160)

摘　　要：本文通过SBM模型测算非期望产出下的全要素生产率,基于中国面板数据构建Tobit回归模型,并就环境规制方式及其强度对全要素生产率的影响因素进行分析。实证结果表明,命令控制型规制方式与全要素生产率呈显著正相关关系,且在当期和近几期内都有明显的积极作用。目前,经济激励型规制方式与全要素生产率呈显著负相关关系,但达到一定强度后将呈现出显著正相关关系,即U型关系。基于上述结论,提出以下建议:在充分把握信息的前提下合理制定规章,增强环保机构的建设和执法力度;调整排污费的征收范围和水平,以解决征收面窄、标准偏低的问题;同时,完善碳交易的投标定价制度,并由试点逐步推广至其他省市区、行业和品种。To study the impact of environmental regulation approaches and their intensity on total factor productivity （TFP）, in this paper we measure the TFP based on undesirable SBM model, and analyze it by Tobit regression model based on panel data of China＇s provinces. The empirical results show that command-controlled regulation is positively correlated to TFP, and the effect is significantly positive in the current and next period. Currently economic incentive regulation is negatively cor- related to TFP, but they will be significantly positively correlated when the intensity reaches a certain level. In other words it＇s called U-type correlation. In terms of above results we put forward some related proposals that we should fully seize the information, develop reasonable rules, and enhance the construction and enforcement of environmental protection insti- tutions; adjust the sewage charging scope and level; and improve the pricing system of carbon trading and gradually extend it to other provinces, industries and varieties.

关 键 词：全要素生产率 SBM模型 GML指数 命令控制型 经济激励型 

分 类 号：F205[经济管理—国民经济]