Abstract
An important source of conflict surrounding nuclear energy is that with a very small probability, a large-scale nuclear accident may occur. One way to internalize the associated financial risks is through mandating nuclear operators to have liability insurance. This paper presents estimates of consumers' willingness to pay for increased financial security provided by an extension of coverage, based on the 'stated choice' approach. A Swiss citizen with median characteristics may be willing to pay 0.14 US cents per kwh to increase coverage beyond the current CHF 0.7 billion (bn.) (US$ 0.47 bn.). Marginal willingness to pay declines with higher coverage but exceeds marginal cost at least up to CHF 4 bn.(US$ 2.7 bn.). An extension of nuclear liability insurance coverage therefore may be efficiency-enhancing.
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Bonomo, Susanne, Massimo Filippini, and Peter Zweifel. (1998). “Neue Aufschl¨ usse ¨ uber die Elek-trizit¨ atsnachfrage der schweizerischen Haushalte (NewEvidence on Electricity Demand by Swiss Households),” Zeitschrift f ¨ ur Volkswirtschaft und Statistik134, 415–430.
Camerer, Colin F. and Howard Kunreuther. (1989). “Decision Processes for Low Probability Events: Policy Implications,” Journal of Policy Analysis and Management8, 565–592.
Chambers, Robert G. and John Quiggin. (2000). Uncertainty, Production, Choice and Agency. Cambridge Uni-versity Press.
Ganderton, Philip T., David S. Brookshire, Michael McKee, Steve Stewart, and Hale Thurston. (2000). “Buy-ing Insurance for Disaster-Type Risks: Experimental Evidence,” Journal of Risk and Uncertainty20, 271–289.
Gegax, D. and L. R. Stanley. (1997). “Validating Conjoint and Hedonic Preference Measures: Evidence from Valuing Reductions in Risk,” Quarterly Journal of Business and Economics36, 31–54.
Greene, William H. (1997). Econometric Analysis. Prentice-Hall International.
Haener, M., P. C. Boxall, and W. L. Adamowicz. (2000). “Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior?” Working Paper Staff Paper 00-01, Departement of Rural Economy, University of Alberta, Edmonton, Canada, 49, 1–15.
Hardin, R. H. and N. J. A. Sloane. (1993). “A New Approach to the Construction of Optimal Designs,” Journal of Statistical Planning and Inference37, 339–369.
Hardin, R. H. and N. J. A. Sloane. (1994). “Operating Manual for Gosset: A general purpose program for con-structing experimental designs (second edition).” http://www.research.att.com/~njas/gosset/.
Hausman, J. A. (1993). Contingent Valuation-A Critical Assessment. North Holland.
Hedayat, A. S., N. J. A. Sloane, and John Stufken. (1999). Orthogonal Arrays-Theory and Applications. Springer.
Hirschberg, Stephan, G. Spiekerman, and R. Dones. (1998). Severe Accidents in the Energy Sector. Paul Scherrer Insitute, Report 98–16.
Johnson, Reed F. and William H. Desvousges. (1997). “Estimating Stated Preferences with Rated-Pair Data: Environmental, Health, and Employment Effects of Energy Programs,” Journal of Environmental Economics and Management34, 79–99.
Kanninen, Barbara J. (2002). “Optimal Design for Multinomial Choice Experiments,” Journal of Marketing Research39, 214–227.
Krupnick, Alan, Anna Alberini, Maureen Cropper, Nathalie Simon, Bernie O'Brien, Ron Goeree, and Martin Heintzelman. (2002). “Age, Health and the Willingness to Pay for Mortality Risk Reductions: A Contingent Valuation Survey of Ontario Residents,” Journal of Risk and Uncertainty24, 161–186.
Kunreuther, Howard, Nathan Novemsky, and Daniel Kahneman. (2001). “Making Low Probabilities Useful,” The Journal of Risk and Uncertainty23, 103–120.
Lancaster, Kevin. (1966). “A New Approach to Consumer Theory,” Journal of Political Economy74, 132–157.
Louviere, J. J., R. J. Meyer, and D. S. Bunch. (1999). “Combining Sources of Preference Data for Modeling Complex Decision Processes,” Marketing Letters10, 205–217.
Louviere, Jordan J. and David A. Hensher. (1982). “On the Design and Analysis of Simulated or Allocation Experiments in Travel Choice Modelling,” Transportation Research Record890,111–17.
Louviere, Jordan J., David A. Hensher, and Joffre D. Swait. (2000). Stated Choice Methods-Analysis and Applications. Cambridge University Press.
Magat, Wesley A., W. Kip Viscusi, and Joel Huber. (1988). “Paired Comparison and Contingent Valuation Ap-proaches to Morbidity Risk Valuation,” Journal of Environmental Economics and Management 15, 395-411.
McFadden, Daniel. (2001). “Economic Choices,” American Economic Review91, 351–378.
Mitchell, Robert Cameron. (1989). “Using Surveys to Value Public Goods: The Contingent Valuation Method,” Ressources for the Future.
Polsky, Daniel, Henry Glick, Richard Willke, and Kevin Schulman. (1997). “Confidence Intervals for Cost-Effectivness Ratios: A Comparison of Four Methods,” Health Economics 6, 243–252.
Shavell, Steven. (1986). “The Judgement Proof Problem,” International Review of Law and Economics 6, 45–58.
Singleton, Royce A. Jr. and Bruce C. Straits. (1999). Approaches to Social Research, 3rd edition. Oxford University Press.
Telser, Harry. (2002). “Nutzenmessung im Gesundheitswesen-Die Methode der Discrete Choice Experimente (Preference Elicitation in Health Care-The Technique of Discrete Choice Experiments).” University of Zurich, Ph.D. dissertation.
Telser, Harry and Peter Zweifel. (2002). “Measuring Willingness-to-Pay for Risk Reduction: An Application of Conjoint Analysis,” Health Economics11, 129–139.
Viscusi, W. Kip (1998). Rational Risk Policy. Oxford University Press.
Zweifel, Peter and Roland D. Umbricht. (2002). “Verbesserte Deckung des Nuklearrisikos-zu welchen Bedingungen? (Extended Coverage of Nuclear Risk-on What Conditions),” Forschungsprogramm En-ergiewirtschaftliche Grundlagen, Bundesamt für Energie.
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Schneider, Y., Zweifel, P. How Much Internalization of Nuclear Risk Through Liability Insurance?. Journal of Risk and Uncertainty 29, 219–240 (2004). https://doi.org/10.1023/B:RISK.0000046144.89048.9e
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DOI: https://doi.org/10.1023/B:RISK.0000046144.89048.9e