Dynamic modeling of causal relationship between energy consumption, CO2 emissions and economic growth in India

被引:193
|
作者
Alam, Mohammad Jahangir [1 ]
Begum, Ismat Ara [1 ,2 ]
Buysse, Jeroen [3 ]
Rahman, Sanzidur [4 ]
Van Huylenbroeck, Guido [3 ]
机构
[1] Univ Ghent, Dept Agr Econ, B-9000 Ghent, Belgium
[2] Bangladesh Agr Univ, Dept Agr Econ, Dhaka, Bangladesh
[3] Univ Ghent, Dept Agr Econ, B-9000 Ghent, Belgium
[4] Univ Plymouth, Sch Geog Earth & Environm Sci, Plymouth PL4 8AA, Devon, England
来源
关键词
CO2; emissions; Economic development; Energy consumption; Causality; India; TIME-SERIES; UNIT-ROOT; VECTOR AUTOREGRESSIONS; CARBON EMISSIONS; KUZNETS CURVE; COINTEGRATION; GDP; INFERENCE; DEMAND; INCOME;
D O I
10.1016/j.rser.2011.04.029
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The paper investigates the causality relationships among energy consumption, carbon dioxide (CO2) emissions and income in India using a dynamic modeling approach. The paper also utilises an innovation accounting method to investigate profiles of the macroeconomic variables persisting from an unanticipated shock in innovation. Our results provide evidence of the existence of bi-directional Granger causality between energy consumption and CO2 emissions in the long-run but neither CO2 emissions nor energy consumption causes movements in real income. There is no causality relationship between energy consumption and income in any direction in the long-run implying that India could follow energy conservation and efficiency improvement policies without impeding economic growth. This will allow India to reduce CO2 emissions without affecting its economic growth and contribute significantly towards combating global warming as well. (C) 2011 Elsevier Ltd. All rights reserved.
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页码:3243 / 3251
页数:9
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