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Measuring The Impact Of Food Safety Regulation-An Output Directional Distance Function Approach

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  • Cho, Bo-Hyun
  • Hooker, Neal H.

Abstract

This paper provides a novel methodology to measure the impact of food safety regulation. An output directional distance function approach is applied to estimate the opportunity cost of food safety regulation. Such a measure should be included as part of the overall cost for a more precise benefit-cost analysis of food safety regulation. Using US Census and food safety recall data, the value of potential output loss due to food safety regulation is suggested $2.5 billion.

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File URL: http://purl.umn.edu/20016
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2004 Annual meeting, August 1-4, Denver, CO with number 20016.

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Date of creation: 2004
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Handle: RePEc:ags:aaea04:20016

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Keywords: Food Consumption/Nutrition/Food Safety;

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  1. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
  2. Rolf F�re & Shawna Grosskopf, 1998. "Shadow Pricing of Good and Bad Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 584-590.
  3. Rolf F�re & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
  4. Fare, Rolf & Grosskopf, Shawna & Nelson, Julianne, 1990. "On Price Efficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(3), pages 709-20, August.
  5. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  6. Coggins, Jay S. & Swinton, John R., 1996. "The Price of Pollution: A Dual Approach to Valuing SO2Allowances," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 58-72, January.
  7. W. Cooper & Shanling Li & L. Seiford & Kaoru Tone & R. Thrall & J. Zhu, 2001. "Sensitivity and Stability Analysis in DEA: Some Recent Developments," Journal of Productivity Analysis, Springer, vol. 15(3), pages 217-246, May.
  8. SIMAR, Léopold & WILSON, Paul, 1995. "Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models," CORE Discussion Papers 1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. John M. Antle, 1996. "Efficient Food Safety Regulation in the Food Manufacturing Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1242-1247.
  10. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
  11. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
  12. Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-75, March-Apr.
  13. Quiggin, John & Chambers, Robert G, 1998. "Risk Premiums and Benefit Measures for Generalized-Expected-Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 17(2), pages 121-37, November.
  14. John M. Antle, 2000. "No Such Thing as a Free Safe Lunch: The Cost of Food Safety Regulation in the Meat Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 310-322.
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