Date of Award
2017
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
Roberts, David
Description
Agriculture is a keystone for the North Dakota economy. The research focused on three selected crops’ yield: corn, soybeans and HRS wheat. The research provides a direct and indirect cumulative elasticity measure for North Dakota for each of the three crops’ yields using stochastic yield frontier models. In addition, the research provides the technical efficiency frontiers for nine different regions in North Dakota as well as across the 22 years (1994 to 2015). The results revealed that each of the three crops’ yields have a stronger relationship with weather variables than input cost and quantity variables. The mean level of corn, soybeans, and HRS wheat technical efficiency were 73 percent, 80 percent, and 72 percent, respectively. This research proposes that each of the three crops’ operations could potentially improve efficiency without adding extra expense of input costs. Overall, North Dakota farmers were relatively efficient in each of the crops’ operations.
Recommended Citation
Badarch, Bayarbat, "Yield Efficiency Using a Stochastic Frontier Approach for Corn, Soybeans, and Hard Red Spring Wheat in North Dakota" (2017). Agribusiness and Applied Economics. 38.
https://digitalcommons.ndsu.edu/agribusiness-applied-econ/38
Rights
NDSU policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Author ORCID Identifier
0000-0002-6886-0846
Handle Identifier
https://hdl.handle.net/10365/28589