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环境规制与绿色工业全要素生产率——基于我国 30 个省市的实证分析
引用本文:蔡宁,吴婧文,刘诗瑶.环境规制与绿色工业全要素生产率——基于我国 30 个省市的实证分析[J].辽宁大学学报(哲学社会科学版),2014(1):65-73.
作者姓名:蔡宁  吴婧文  刘诗瑶
作者单位:[1]北京师范大学经济与资源管理研究院,北京100875 [2]英国布里斯托大学经济金融与管理学院,英国布里斯托BS81TH
基金项目:国家自然科学基金重点项目“中国经济绿色发展的评价体系、实现路径与政策研究(71333001)”阶段性成果.
摘    要:本文以结合方向距离函数的环境绩效ML指数为基本方法,以20011011年我国30个省市环境规制及工业经济的数据为基础,测算各省市绿色工业全要素生产率,并构建面板数据模型,分析环境规制对我国绿色工业全要素生产率的影响。研究发现:我国各省市绿色工业全要素生产率比传统工业全要素生产率都要低,各省市均存在以牺牲环境换取经济发展的现象;西部地区在环境约束时工业全要素生产率下降幅度最大,而中部和东部地区下降幅度递减,西部地区以环境成本实现工业增长的特征最为明显;环境规制对绿色工业全要素生产率的增长有正的影响,但对各区域的影响程度随工业绿色发展水平的提高而降低;技术创新、外商直接投资等也是影响绿色工业全要素生产率的重要因素。

关 键 词:环境规制  绿色工业全要素生产率  Malmquist—Luenberger指数  面板数据分析

On Environmental Regulation and the Green Industrial Total Factor Productivity--Empirical Analysis Based on the Data of 30 Provinces in China
CAI Ning,WU Jing-wen,LIU Shi-yao.On Environmental Regulation and the Green Industrial Total Factor Productivity--Empirical Analysis Based on the Data of 30 Provinces in China[J].Jounal of Liaoning University(Philosophy and Social Sciences Edition),2014(1):65-73.
Authors:CAI Ning  WU Jing-wen  LIU Shi-yao
Institution:1. School of Economics and Resource Management, Beijing Normal University, Beijing 100875, Chino; 2. School of Economics, Finance and Management, University of Bristol, Bristol BS8 1TH, UK )
Abstract:Based on directional distance function, this paper employs the Malmquist-Luenberger Index to calculate the green industrial total factor productivity (GITFP) of 30 provinces in China between 2001 and 2011. Then the paper analyzes the influence of environmental regulation on GITFP by the panel data regression analysis. Based on these analyses, the paper finds that GITFP is lower than the traditional indus-trial total factor productivity of China, for every province has negative impact on the environment when they develop economy. The decline of GITFP in the western part of China is much more quickly than those in the central and eastern parts. Environmental regulation has positive effect on GITFP, and the effect gets smaller when GITFP becomes higher. Technology innovation and foreign direct investment are also important vari-ables for GITFP.
Keywords:environmental regulation  green industrial total factor productivity  Malmquist-LuenbergerIndex  panel data regression analysis
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