Institute of Commerce, Management and Economics, Shri Ramswaroop Memorial University, Lucknow, India.
Department of Economics, Abdul Wali Khan University Mardan (KP), Mardan, Pakistan.
Environ Sci Pollut Res Int. 2021 Oct;28(39):54744-54755. doi: 10.1007/s11356-021-14365-9. Epub 2021 May 20.
Environmental pollution caused by carbon emissions is an emerging issue to study among researchers. The nexus between environmental pollution and carbon emissions has motivated researchers to evaluate the impact of cleaner energy on carbon emissions. This study further contributes to the research by examining the above relationship by studying the asymmetric influence of nuclear energy (NE), industrial productivity (IP), and economic growth rate (GDP) on carbon emissions (CO) in India from 1975 to 2018 using the asymmetric autoregressive distribution lag approach. The results of the bound test and the Wald test show that in the long run, there is an asymmetric relationship between CO, NE, GDP, and IP, and in the short run, there is a symmetric relationship between CO, GDP, and IP. The result implies that increased usage of nuclear energy over fossil fuels and improvement in industrial productivity, in the long run, reduces CO emission in India. Furthermore, the study concludes that the government should consider the asymmetric relationship between the variables and devise appropriate policies to increased nuclear energy and industrial productivity in India for environmental sustainability.
碳排放导致的环境污染是研究人员正在研究的一个新问题。环境污染和碳排放之间的关系促使研究人员评估清洁能源对碳排放的影响。本研究通过使用非对称自回归分布滞后方法研究核能（NE）、工业生产力（IP）和经济增长率（GDP）对印度 1975 年至 2018 年期间碳排放（CO）的不对称影响，进一步为研究做出了贡献。边界检验和 Wald 检验的结果表明，在长期内，CO、NE、GDP 和 IP 之间存在非对称关系，而在短期内，CO、GDP 和 IP 之间存在对称关系。结果表明，长期内增加核能的使用和提高工业生产力可以减少印度的 CO 排放。此外，研究得出结论，政府应考虑变量之间的不对称关系，并制定适当的政策，以增加印度的核能和工业生产力，实现环境可持续性。
