经济理论与经济管理 ›› 2013, Vol. 33 ›› Issue (1): 79-95.

• 资源与环境 • 上一篇    下一篇

什么因素多大程度上影响到
工业碳排放绩效

 查建平1, 唐方方2, 郑浩生1   

  1. 1西南交通大学,成都610031; 2北京大学中国经济研究中心,北京100871
  • 收稿日期:2012-11-15 出版日期:2013-01-16 发布日期:2013-02-02
  • 作者简介:查建平(1986—),男,安徽安庆人,西南交通大学经济管理学院博士研究生; 唐方方(1965—),男,重庆市人,北京大学中国经济研究中心教授,西南交通大学特聘教授,博士生导师,经济学博士; 郑浩生(1981—),男,广东揭阳人,西南交通大学公共管理学院博士研究生。
  • 基金资助:

    国家自然科学基金项目(70972014);国家自然科学基金项目(71271177)

DETERMINANT FACTORS OF INDUSTRIAL CARBON
EMISSIONS PERFORMANCE ——Evidence from Chinese Provincial Industrial Panel Data

 CHA  Jian-Ping-1, TANG  Fang-Fang-2, ZHENG  Hao-Sheng-1   

  1. 1Southwest Jiaotong University,Chengdu 610031, China; 2China Center for Economic Research,Peking University,Beijing 100871, China
  • Received:2012-11-15 Online:2013-01-16 Published:2013-02-02

摘要: 本文通过利用序列DEA(Sequential DEA)与方向性距离函数构造了碳排放绩效动态指数TCPt,规避了以往碳排放绩效测度的缺陷,较为精确地测算了2003—2010年中国30个省市地区的工业碳排放绩效,并从规模、工业结构、能源结构、要素禀赋、技术、环境规制及外资等七个维度出发,对中国工业碳排放绩效变化的影响因素及其相对重要程度进行了评估与分析。研究结果表明,在整体层面上,工业企业规模、技术水平及外资因素对工业碳排放绩效起到显著正向影响,而重工业比重、国有产权制度结构、资本深化及煤炭消费比重对工业碳排放绩效起到显著负面影响,环境规制对工业碳排放绩效的影响微乎其微,以上各因素的作用方向与相对重要程度因区域不同而存在一定的差异。最后,本文基于以上各因素对工业碳排放绩效的不同作用方向与相对重要程度,给出了差异化的政策内涵解读。

关键词: 工业碳排放绩效 , 影响因素 , 面板数据

Abstract: The paper constructed a kind of carbon emissions performance index with  sequential DEA and directional distance function,and accurately evaluated the industrial carbon emission performance of China’s 30 regions during 2003—2010. Moreover, it evaluated and analyzed the industrial carbon emission performance and its relative importance from seven aspects such as scale, industrial structure, energy structure,factor endowments, technology, environmental regulation and foreign capital etc. The results showed that enterprise scale, technical level and foreign capital play a significant positive impact on the industrial carbon emissions performance,while industrial structure, stateowned property structure, capital deepening and energy consumption structure had significant negative impact on the performance, the influence of environmental regulation was not significant. The effect of the above factors was different between various regions. Finally, this paper proposed some differential policies based on the conclusions of empirical research.

Key words: industrial carbon emissions performance , factors , panel data