Valuing Private Sector Incentives to Invest in Food Protection Measures in the Milk and Green Onion Sectors
Abstract
This study provides a framework to value investment strategies to mitigate possible agro-terrorism occurrences in the food supply chain and to determine where these investments would reduce the most risk. This framework is applied to two food sectors that could be at risk: milk and green onions. Stochastic optimization is used to determine the costs and risk premiums of alternative tracking strategies. The real options method along with a portfolio of options, also referred to as the "tomato garden" framework, is used to determine where and when alternative intervention strategies should be implemented to reduce the most risk. Finally, policy implications are derived on the cost-risk tradeoffs, probability of attacks, and containment efforts if there is an attack by using game theory to determine the incentives needed to motivate participants in the milk and green onion supply chains to invest in security measures.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Paper provided by North Dakota State University, Department of Agribusiness and Applied Economics in its series Agribusiness & Applied Economics Report with number 7630.Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:ags:nddaae:7630
Contact details of provider:
Postal: PO Box 5636, Fargo, ND 58105-5636
Phone: (701) 231-7441
Email:
Web page: http://www.ext.nodak.edu/homepages/aedept/
More information through EDIRC
Related research
Keywords: Agro-terrorism; Stochastic optimization; Real options; Game theory; Milk; Green onions; Food Consumption/Nutrition/Food Safety;References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:ags:nddaae:7630For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

