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The Effect of Industrial Structure on Learning by Doing in Nuclear Power Plant Operation

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  • Richard K. Lester
  • Mark J. McCabe

Abstract

Learning from experience in the nuclear industry has had a significant impact on the operating performance of light water reactor (LWR) power plants. Performance comparisons between the United States and France indicate that the relationship between experience and performance has been strongly influenced by industrial structure. In the United States, a sizable operating performance penalty has been paid both as a result of the diffusion of several types of LWR technology and because of the relative scarcity of multiunit sites caused by the fragmented structure of the electric utility industry. In France, by contrast, performance has benefited from the very high degree of plant design standardization and the prevalence of multiunit siting. These results suggest both short-term and long-term opportunities for improvement in the performance of the American nuclear industry.

Suggested Citation

  • Richard K. Lester & Mark J. McCabe, 1993. "The Effect of Industrial Structure on Learning by Doing in Nuclear Power Plant Operation," RAND Journal of Economics, The RAND Corporation, vol. 24(3), pages 418-438, Autumn.
  • Handle: RePEc:rje:randje:v:24:y:1993:i:autumn:p:418-438
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    Cited by:

    1. Jeffrey Cummings, 2003. "Knowledge Sharing : A Review of the Literature," World Bank Publications, The World Bank, number 19060.
    2. Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
    3. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    4. Iyer, Gokul C. & Clarke, Leon E. & Edmonds, James A. & Hultman, Nathan E. & McJeon, Haewon C., 2015. "Long-term payoffs of near-term low-carbon deployment policies," Energy Policy, Elsevier, vol. 86(C), pages 493-505.
    5. Paul L. Joskow, 1997. "Restructuring, Competition and Regulatory Reform in the U.S. Electricity Sector," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 119-138, Summer.
    6. Cinzia Battistella & Alberto F. De Toni & Roberto Pillon, 2016. "Inter-organisational technology/knowledge transfer: a framework from critical literature review," The Journal of Technology Transfer, Springer, vol. 41(5), pages 1195-1234, October.
    7. Argote, Linda & Fahrenkopf, Erin, 2016. "Knowledge transfer in organizations: The roles of members, tasks, tools, and networks," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 146-159.
    8. Iyer, Gokul & Hultman, Nathan & Fetter, Steve & Kim, Son H., 2014. "Implications of small modular reactors for climate change mitigation," Energy Economics, Elsevier, vol. 45(C), pages 144-154.
    9. Tracy R. Lewis & Huseyin Yildirim, 2002. "Managing Dynamic Competition," American Economic Review, American Economic Association, vol. 92(4), pages 779-797, September.
    10. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (├ľKUS).

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