On the performance of the United States nuclear power sector: A Bayesian approach

David Bernstein, Christopher F. Parmeter and Mike G. Tsionas

Energy Economics, 2023, vol. 125, issue C

Abstract: Concerns over climate change and global emissions has again placed attention on clean energy sources. Nuclear power plants are one of many sources of clean energy and yet few studies have examined the structure of technology exclusively in this area. We utilize Bayesian empirical likelihood methods to estimate a stochastic frontier model to examine scale economies, technical efficiency and technological change in the United States nuclear energy generation sector. We find decreasing scale economies, a fact consistent with the recent decline of the industry. Our results suggest that small nuclear reactors may benefit the sector as a whole.

Keywords: Nuclear energy; Small nuclear reactor; Returns to scale; Exponential tilting; Asymmetric Laplace; Empirical likelihood (search for similar items in EconPapers)
JEL-codes: C01 C11 C13 C18 Q40 Q50 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003821

DOI: 10.1016/j.eneco.2023.106884

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