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The Effects of Learning by Doing on Nuclear Plant Operating Reliability

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Cited by:

  1. Rust, John & Rothwell, Geoffrey, 1995. "Optimal Response to a Shift in Regulatory Regime: The Case of the US Nuclear Power Industry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(S), pages 75-118, Suppl. De.
  2. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," Working Paper Series rwp00-002, Harvard University, John F. Kennedy School of Government.
  3. Choiniere, Conrad J., 2000. "Renewable Energy And Greenhouse Gas Mitigation," 2000 Annual meeting, July 30-August 2, Tampa, FL 21813, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  4. Sturm, Roland, 1999. "Cost and quality trends under managed care: is there a learning curve in behavioral health carve-out plans?," Journal of Health Economics, Elsevier, vol. 18(5), pages 591-602, October.
  5. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
  6. Peter M. Madsen, 2009. "These Lives Will Not Be Lost in Vain: Organizational Learning from Disaster in U.S. Coal Mining," Organization Science, INFORMS, vol. 20(5), pages 861-875, October.
  7. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
  8. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
  9. Bernardo A. Huberman, 2001. "The Dynamics of Organizational Learning," Computational and Mathematical Organization Theory, Springer, vol. 7(2), pages 145-153, August.
  10. Lee, You-Na & Walsh, John P., 2016. "Inventing while you work: Knowledge, non-R&D learning and innovation," Research Policy, Elsevier, vol. 45(1), pages 345-359.
  11. Gregory Nemet & Erin Baker & Bob Barron & Samuel Harms, 2015. "Characterizing the effects of policy instruments on the future costs of carbon capture for coal power plants," Climatic Change, Springer, vol. 133(2), pages 155-168, November.
  12. Heimeriks, K. & Duysters, G.M., 2004. "A study into the alliance capability development process," Working Papers 04.21, Eindhoven Center for Innovation Studies.
  13. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
  14. Li, Sheng & Zhang, Xiaosong & Gao, Lin & Jin, Hongguang, 2012. "Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies," Applied Energy, Elsevier, vol. 93(C), pages 348-356.
  15. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
  16. Karney, Daniel H., 2019. "Electricity market deregulation and environmental regulation: Evidence from U.S. nuclear power," Energy Economics, Elsevier, vol. 84(C).
  17. Koomey, Jonathan & Hultman, Nathan E., 2007. "A reactor-level analysis of busbar costs for US nuclear plants, 1970-2005," Energy Policy, Elsevier, vol. 35(11), pages 5630-5642, November.
  18. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
  19. Sturm, Roland, 1995. "Why does nuclear power performance differ across Europe?," European Economic Review, Elsevier, vol. 39(6), pages 1197-1214, June.
  20. Tracy R. Lewis & Huseyin Yildirim, 2002. "Managing Dynamic Competition," American Economic Review, American Economic Association, vol. 92(4), pages 779-797, September.
  21. Tombak, Mihkel M., 2006. "Strategic asymmetry," Journal of Economic Behavior & Organization, Elsevier, vol. 61(3), pages 339-350, November.
  22. Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
  23. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
  24. Anelí Bongers, 2023. "Learning by doing, organizational forgetting, and the business cycle," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 141-150, January.
  25. Eunnyeong Heo & Seong-Yun Shin, 1999. "Estimating learning effects on nuclear power plants: A count data model with a varying time interval as a duration variable," Applied Economics Letters, Taylor & Francis Journals, vol. 6(10), pages 655-658.
  26. Francisco Álvarez & Emilio Cerdá, 1999. "Analytical solution for a class of learning by doing models with multiplicative uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 1-23, June.
  27. Alvarez, F. & Cerda, E., 2003. "Learning by doing in a T-period production planning: Analytical solution," European Journal of Operational Research, Elsevier, vol. 150(2), pages 353-369, October.
  28. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
  29. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.
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