Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy

被引:354
作者
Ahmad, Ashfaq [1 ]
Zhao, Yuhuan [1 ,2 ]
Shahbaz, Muhammad [3 ,4 ]
Bano, Sadia [1 ]
Zhang, Zhonghua [1 ]
Wang, Song [1 ]
Liu, Ya [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[3] COMSATS Inst Informat Technol, Dept Management Sci, Energy Res Ctr, Lahore, Pakistan
[4] Montpellier Business Sch, 2300 Ave Moulins, F-34080 Montpellier, France
基金
中国国家自然科学基金;
关键词
Carbon emissions; Energy consumption; Economic growth; EKC; India; ENVIRONMENTAL KUZNETS CURVE; NATURAL-GAS CONSUMPTION; OIL-PRICE SHOCK; CO2; EMISSIONS; ELECTRICITY CONSUMPTION; COAL CONSUMPTION; TIME-SERIES; UNIT-ROOT; INDUSTRIAL-PRODUCTION; CAUSALITY ANALYSIS;
D O I
10.1016/j.enpol.2016.05.032
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the long and short run relationships among carbon emissions, energy consumption and economic growth in India at the aggregated and disaggregated levels during 1971-2014. The autoregressive distributed lag model is employed for the cointegration analyses and the vector error correction model is applied to determine the direction of causality between variables. Results show that a long run cointegration relationship exists and that the environmental Kuznets curve is validated at the aggregated and disaggregated levels. Furthermore, energy (total energy, gas, oil, electricity and coal) consumption has a positive relationship with carbon emissions and a feedback effect exists between economic growth and carbon emissions. Thus, energy-efficient technologies should be used in domestic production to mitigate carbon emissions at the aggregated and disaggregated levels. The present study provides policy makers with new directions in drafting comprehensive policies with lasting impacts on the economy, energy consumption and environment towards sustainable development. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:131 / 143
页数:13
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