Abstract
The present chapter attempts to investigate the possible influence of primary, nuclear, and renewable energy consumption on carbon dioxide emissions in case of a developing country, namely, India. Applying an autoregressive distributed lag model in a STIRPAT analytical setting, income per-capita is found to impact the CO2 emissions positively in long-run and negatively in short-run, signifying the relevance of N-shaped Environmental Kuznets Curve. Population growth and primary energy consumption are reported to escalate the CO2 emissions in both long-run and short-run, hence constitute prominent candidates for causing environmental degradation. On the contrary, renewable and nuclear energy consumption is found to decrease the emissions. Although empirically appealing as a solution for climate change problem, the decision about the choice between nuclear, renewable, or the conventional fossils should be guided by a cognizance of all possible repercussions as well.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Design, Analysis, and Applications of Renewable Energy Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.