Impact of renewable and non-renewable electricity generation on economic growth in India: an application of linear and nonlinear models

Mohd Arshad Ansari (), Pushp Kumar () and Muhammed Ashiq Villanthenkodath ()
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Mohd Arshad Ansari: GITAM Deemed University
Pushp Kumar: Indian Institute of Technology Bhubaneswar
Muhammed Ashiq Villanthenkodath: Indian Institute of Management Bodh Gaya (IIM Bodh Gaya)
Authors registered in the RePEc Author Service: Muhammed Ashiq V

Journal of Regulatory Economics, 2023, vol. 63, issue 3, No 2, 138-158

Abstract: Abstract The development of renewable energy sources for electricity generation is necessary for sustainable development in India. Thus, the present study examines the effects of renewable and non-renewable electricity generation on economic growth in India during 1991–2019. In this regard, the robust time series econometric tools like autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) models are applied to the formulated economic growth function in the presence of both renewable and non-renewable electricity generation as key determinants. Moreover, the outcome of ARDL and NARDL models confirms the long-run relationship between the sample variables. Further, the long-run result shows that economic growth is positively affected by renewable and non-renewable electricity generation, according to the ARDL model. At the same time, the finding from NARDL indicates that a negative change in non-renewable electricity generation leads to an increase in economic growth in India.

Keywords: Economics growth; Electricity sector; Sustainable policies; NARDL (search for similar items in EconPapers)
JEL-codes: L94 O47 Q2 Q3 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11149-023-09461-2

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