Nexus between Nuclear Energy, Economic Growth, and Greenhouse Gas Emissions in India

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  • Asif Raihan Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
  • Grzegorz Zimon Faculty of Management, Rzeszow University of Technology, 35‐959 Rzeszow, Poland
  • Mohammad Mahtab Alam Department of Basic Medical Sciences, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia
  • Md. Rehan Khan STS, Minto Circle, Aligarh Muslim University Aligarh (202002), Uttar Pradesh, India
  • Beata Sadowska Department of Accounting, Faculty of Economics, Finance and Management, University of Szczecin, 70-453 Szczecin, Poland



Nuclear Energy, GHG Emissions, Economic Growth, Emission Reduction, Sustainable Development


The escalating demand for fossil fuels in India has resulted in a significant strain on the environment due to the amplified emissions of greenhouse gases (GHGs). Nevertheless, India possesses a significant capacity for nuclear energy, as seen by its 22 operational nuclear reactors. This capacity holds promise for reducing GHG emissions. This research utilized a dataset spanning from 1969 to 2021 to examine the impact of nuclear energy utilization on GHG emissions. The study also aimed to verify the validity of the environmental Kuznets curve (EKC) hypothesis in India, employing the Autoregressive Distributive Lag (ARDL) model. The findings suggest that the EKC is applicable to India. Furthermore, it has been observed that a marginal increase of 1% in the use of nuclear energy leads to a reduction of GHG by 0.02% in the immediate term and 0.16% in the long term. This finding highlights the significance of expanding nuclear power as a crucial policy objective in order to attain environmentally friendly and sustainable economic development.


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How to Cite

Raihan, A., Zimon, G., Alam, M. M., Khan, M. R., & Sadowska, B. (2024). Nexus between Nuclear Energy, Economic Growth, and Greenhouse Gas Emissions in India. International Journal of Energy Economics and Policy, 14(2), 172–182.