会议专题

Spatial Econometric Analysis of Chinas Provincial CO2 Emissions

Based on the STIRPAT model and spatial autoregressive models, this paper investigates the energy-related CO2 emissions of 30 provinces in China from 2000 to 2006 and the underlying driving forces. The result shows that there exists spatial interdependence of the provincial CO2 emission, and the energy intensity, population growth and economic development level are the main contributors to CO2 emissions, while urbanization is not an inevitable factor. We also find that the provincial CO2 emissions show the pattern of spatial dependence and spatial heterogeneity at the same time, which means that we must take into account the spatial interaction mechanism when adopt the proactive policies and measures regarding environmental protection and energy consumption.

Junjie Ma Xia Liu Jianxin You Maolin Zhang

School of Economics and Management, Tongji University, Chinese Academy of Science & Technology Manag Public Administration Department, Zhejiang Gongshang University, Hangzhou 310018, China

国际会议

The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

三亚

英文

1502-1506

2009-04-24(万方平台首次上网日期,不代表论文的发表时间)