Date of Award

2014

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Agribusiness and Applied Economics

Department

Agribusiness and Applied Economics

College

Agriculture, Food Systems and Natural Resources

Faculty Advisor

Olson, Frayne

Description

There are many crops grown in North Dakota, but only a few have a futures market for prices and are grown readily throughout the country. The specialty crops in North Dakota display many of the same characteristics such as a lack of a futures market, high standards for grain quality, and concentrated production areas. These characteristics create unique procurement risks for specialty crop processors. This project ranks procurement strategies for a green field pea processor located in North Dakota using stochastic efficiency with respect to a function (SERF) analysis. Through SERF analysis, it was found that geographic diversification and forward contracting are useful tactics to include in a green field pea processors procurement strategies. The methodology and model can be applied to other specialty crops in North Dakota that display similar risk characteristics seen in green field peas such as lentils, dry edible beans, and malt barley.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/27424

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