Predicting Food-Safety Risk and Determining Cost-Effective Risk-Reduction Strategies
William Nganje,
Linda D. Burbidge,
Elisha K. Denkyirah and
Elvis M. Ndembe
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Linda D. Burbidge: Dakota College, Bottineau, ND 58318-1198, USA
Elisha K. Denkyirah: Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX 79409, USA
Elvis M. Ndembe: Department of Management, College of Business Administration, University of Nebraska Omaha (Scott Campus), Omaha, NE 68106, USA
JRFM, 2021, vol. 14, issue 9, 1-18
Abstract:
Food safety is a major risk for agribusiness firms. According to the Centers for Disease Control and Prevention (CDC), approximately 5000 people die annually, and 36,000 people are hospitalized as a result of foodborne outbreaks in the United States. Globally, the death estimate is about 42,000 people per year. A single outbreak could cost a particular segment of the food industry hundreds of millions of dollars due to recalls and liability; these instances might amount to billions of dollars annually. Despite U.S. advancements and regulations, such as pathogen reduction/hazard analysis critical control points (PR/HACCP) in 1996 and the Food Modernization Act in 2010, to reduce food-safety risk, retail meat facilities continue to experience recalls and major outbreaks. We developed a stochastic-optimization framework and used stochastic-dominance methods to evaluate the effectiveness for three strategies that are used by retail meat facilities. Copula value-at-risk (CVaR) was utilized to predict the magnitude of the risk exposure associated with alternative, cost-effective risk-reduction strategies. The results showed that optimal retail-intervention strategies vary by meat and pathogen types, and that having a single Salmonella performance standard for PR/HACCP could be inefficient for reducing other pathogens and food-safety risks.
Keywords: food safety; retail; cost-effectiveness; PR/HACCP; stochastic dominance; copula value-at-risk (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2021
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