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

Ahmad, Ashfaq, Zhao, Yuhuan, Shahbaz, Muhammad, Bano, Sadia, Zhang, Zhonghua, Wang, Song, Liu, Ya
Energy Policy 2016 v.96 pp. 131-143
carbon, coal, electricity, emissions, energy efficiency, issues and policy, models, oils, sustainable development, time series analysis, India
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.