Regional Differences in Nuclear and Fossil-Fuel Generation of Electricity
AbstractPrevious research on electric generation costs has mainly relied on economy-wide data. This study disaggregates a broad sample into regions known to have marked differences in fossil fuel availability, climate, regulatory effects, and other variables. We find differences exist in generation costs among the studied regions and nuclear power, using estimates of scale economies and other measures. We also find smaller minimum efficient size fossil-fuel firms than previous studies, based on recent cost information. This study provides insights into several industry structure issues, such as capacity expansion, competition, input costs, environmental policy, and transmission access.
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Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Land Economics.
Volume (Year): 69 (1993)
Issue (Month): 3 ()
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Web page: http://le.uwpress.org/
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- Ramos-Real, Francisco Javier, 2005. "Cost functions and the electric utility industry. A contribution to the debate on deregulation," Energy Policy, Elsevier, vol. 33(1), pages 69-87, January.
- Dismukes, David E. & Cope III, Robert F. & Mesyanzhinov, Dmitry, 1998. "Capacity and economies of scale in electric power transmission," Utilities Policy, Elsevier, vol. 7(3), pages 155-162, November.
- Olatubi, Williams O. & Dismukes, David E., 2000. "A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance," Utilities Policy, Elsevier, vol. 9(2), pages 47-59, June.
- Joseph G. Hirschberg & Jenny N. Lye, 2004. "Inferences for the Extremum of Quadratic Regression Models," Department of Economics - Working Papers Series 906, The University of Melbourne.
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