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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - On the performance of the United States nuclear power sector
T2 - A Bayesian approach
AU - Bernstein, David H.
AU - Parmeter, Christopher F.
AU - Tsionas, Mike G.
PY - 2023/9/30
Y1 - 2023/9/30
N2 - 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.
AB - 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.
U2 - 10.1016/j.eneco.2023.106884
DO - 10.1016/j.eneco.2023.106884
M3 - Journal article
VL - 125
JO - Energy Economics
JF - Energy Economics
SN - 0140-9883
M1 - 106884
ER -