A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China

被引:411
作者
Chang, Ching-Chih [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Transportat & Commun Management Sci, Tainan 70101, Taiwan
关键词
Multivariate co-integration; Carbon dioxide emissions; Energy consumption; Economic growth; ELECTRICITY CONSUMPTION; COINTEGRATION ANALYSIS; ERROR-CORRECTION; REAL INCOME; GDP; COUNTRIES; PRICES;
D O I
10.1016/j.apenergy.2010.05.004
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper uses multivariate co-integration Granger causality tests to investigate the correlations between carbon dioxide emissions, energy consumption and economic growth in China. Some researchers have argued that the adoption of a reduction in carbon dioxide emissions and energy consumption as a long term policy goal will result in a closed-form relationship, to the detriment of the economy. Therefore, a perspective that can make allowances for the fact that the exclusive pursuit of economic growth will increase energy consumption and CO2 emissions is required; to the extent that such growth will have adverse effects with regard to global climate change. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3533 / 3537
页数:5
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