Affiliation:
1. Department of Biosystems and Agricultural Engineering, Michigan State University, 524 South Shaw Lane, East Lansing, Michigan 48824, USA (ORCID: https://orcid.org/0000-0002-5553-5841 [B.P.M.])
Abstract
ABSTRACTNew Food Safety and Modernization Act rules require that food producers implement and validate processes that sufficiently reduce the risk of known hazards, such as those posed by microbial pathogens. Investments in food safety technology choices are ultimately business decisions, and current decision-making methods make it difficult to quantify financial value associated with food safety risk reduction. Predicted financial loss is a tangible way to quantify how a recall might affect the manufacturer. The hypothesis of this study was that class I recalls of low-moisture foods due to the presence of microbial pathogens have a significant negative economic impact on the affected manufacturers, which can be quantified in terms of loss in market capitalization. Financial impacts of the recalls were analyzed over a 10-year period by computing the cumulative abnormal return (CAR) in stock values over a recall event period for 22 low-moisture foods made by publicly held companies. Abnormal returns were aggregated over an event window (0 to 20 days) to compute the CAR, which was multiplied by prerecall market capitalization to compute monetary losses due to the recall event. The CARs for a 20-day postrecall period were −26.5 to 8.4%, with a mean of −5.1%. These CARs translated to a median loss in corporate value due to a recall of $243 million for the recall events analyzed in this study. If implementation of a food safety technology could reduce risk of a recall by fivefold, the mean annual economic benefit would be >$2 million in reduced risk for companies such as those included in the study. Such analyses can positively impact business decisions to invest in food safety technologies.HIGHLIGHTS
Publisher
International Association for Food Protection
Subject
Microbiology,Food Science
Reference62 articles.
1. Abe, K., Yamamoto S., and ShinagawaK. 2002. Economic impact of an Escherichia coli O157:H7 outbreak in Japan. J. Food Prot. 65: 66– 72.
2. Baiocchi, G., and DistasoW. 2003. GRETL: econometric software for the GNU generation. J. Appl. Econ. 18: 105– 110.
3. Bartsch, S. M., Asti L., Nyathi S., Spiker M. L., and LeeB. Y. 2018. Estimated cost to a restaurant of a foodborne illness outbreak. Public Health Rep. 133: 274– 286.
4. Batz, M., Hoffmann S., and MorrisJ. G. 2014. Disease-outcome trees, EQ-5D scores, and estimated annual losses of quality-adjusted life years (QALYs) for 14 foodborne pathogens in the United States. Foodborne Pathog. Dis. 11: 395– 402.
5. Beach, C. 2016. More sick; General Mills recalls 15 million more pounds of flour. Available at: https://www.foodsafetynews.com/2016/07/more-sick-general-mills-recalls-more-flour-traced-to-outbreak/. Accessed 24 October 2019.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献