Forecasting the path of China's CO2 emissions using province-level information

被引:394
作者
Auffhammer, Maximilian [1 ]
Carson, Richard T. [2 ]
机构
[1] Univ Calif Berkeley, Dept Agr & Resource Econ, Berkeley, CA 94720 USA
[2] Univ Calif San Diego, San Diego, CA 92103 USA
关键词
forecasting; climate change; China; model selection; carbon dioxide;
D O I
10.1016/j.jeem.2007.10.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Our results suggest that the anticipated path of China's carbon dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2010 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial-level panel data set from the Chinese Environmental Protection Agency. This data set contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:229 / 247
页数:19
相关论文
共 53 条
[41]  
PESARAN MH, 1995, J ECONOMETRICS, V79, P1212
[42]   World carbon dioxide emissions: 1950-2050 [J].
Schmalensee, R ;
Stoker, TM ;
Judson, RA .
REVIEW OF ECONOMICS AND STATISTICS, 1998, 80 (01) :15-27
[43]  
Schneider Stephen H., 1998, MITIGATION ADAPTATIO, V2, P373
[44]  
SIDDIQI TA, 1994, NATL RESPONSE STRATE
[45]  
SINTON J, 1991, CHINA ECON REV, V12, P373
[46]   What goes up: recent trends in China's energy consumption [J].
Sinton, JE ;
Fridley, DG .
ENERGY POLICY, 2000, 28 (10) :671-687
[47]   CHANGING ENERGY INTENSITY IN CHINESE INDUSTRY - THE RELATIVE IMPORTANCE OF STRUCTURAL SHIFT AND INTENSITY CHANGE [J].
SINTON, JE ;
LEVINE, MD .
ENERGY POLICY, 1994, 22 (03) :239-255
[48]  
*STAT STAT BUR PEO, 1986, CHIN STAT YB
[49]  
Stern N. H., 2006, STERN REV EC CLIMATE
[50]  
US Department of Energy Energy Information Administration, 2006, INT EN OUTL