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我国区域碳排放绩效差异及其影响因素分析——基于空间经济学视角
引用本文:杜慧滨,李娜,王洋洋,毛国柱.我国区域碳排放绩效差异及其影响因素分析——基于空间经济学视角[J].天津大学学报(社会科学版),2013(5):411-416.
作者姓名:杜慧滨  李娜  王洋洋  毛国柱
作者单位:[1]天津大学管理与经济学部,天津300072 [2]中国科学院科技政策与管理科学研究所能源与环境政策研究中心,北京100190 [3]天津大学环境科学与工程学院,天津300072
基金项目:国家自然科学基金资助项目(71273185).
摘    要:利用空间自相关Moran指数与面板数据空间计量模型,对1997--2009年我国29个省域的碳排放绩效的空间分布特征及影响因素进行了空间计量经济分析。结果发现:我国区域碳排放绩效在空间上存在较强的正相关性,表现出明显的区域集群现象,提高某一地区的碳排放绩效水平将有助于带动其相邻地区碳排放绩效水平的提高。对外开放水平、能源消费结构、产业与产权结构、市场化程度、技术进步和能源价格等因素对我国碳排放绩效有显著影响,其中技术落后和市场化程度偏低是制约我国碳排放绩效水平提高的主要因素。

关 键 词:碳排放绩效  Moran指数  面板数据空间计量模型  区域集群

Study on China' s Carbon Emission Performance and Influencing Factors from the Perspective of Spatial Economics
Du Huibinl,Li Na,Wang Yangyang,Mao Guozhu.Study on China' s Carbon Emission Performance and Influencing Factors from the Perspective of Spatial Economics[J].Journal of Tianjin University(Social Sciences),2013(5):411-416.
Authors:Du Huibinl  Li Na  Wang Yangyang  Mao Guozhu
Institution:1. Faculty of Management and Economics, Tianjin University, Tianjin 300072, China; 2. Center for Energy and Environmental Policy research, Institute of Policy and Management Chinese Academy of Science, Beijing 100190, China; School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, Chit
Abstract:This paper applies Moran index of spatial statistics and spatial panel data models to explore the regional cluster and influential factors of carbon emission performance in China' s 29 provincial-administrative regions during 1997-2009. The resuhs indicate that there is a positive correlation of regional carbon emission performance in China; carbon emission performance distribution is featured by spatial agglomeration; the carbon emission performance in one region is positively re- lated to that in its adjacent areas. The influential factors of carbon emission performance include the level of opening up, the structure of energy consumption, the structure of industry and property right, the degree of marketization, technological progress, energy price, and so on. Among them, poor technology and the degree of marketization are the bottleneck factors in the improvement of China's carbon emission performance.
Keywords:carbon emission performance  Moran index  spatial panel data model  regional cluster
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