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dc.contributor.authorSoares, Abilio Barros
dc.description.abstractThe objective of this study is to examine land use change for cropping systems in North Dakota. Using Seemingly Unrelated Regression with full information maximum likelihood estimation method, acreage forecasting models for barley, corn, oats, soybean, and wheat were developed to examine the extent to which farmers’ expectations of prices and costs affect their crop choices. The results of the study show that farmers’ decision for acreage allocation is varied across the crops depending on how responsive they are to price, cost and yield of its own and competing crops. Substitutability and complementarity relationship of crops in the production have positive effect on crops selection when facing price, cost, and yield changes. In addition, the results revealed that expected prices have little effect on acreage response compared to expected costs and yield variables in most of the crop models.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2
dc.titleCrop Price and Land Use Change: Forecasting Response of Major Crops Acreage to Price and Economic Variables in North Dakotaen_US
dc.typeThesisen_US
dc.date.accessioned2018-03-07T20:53:12Z
dc.date.available2018-03-07T20:53:12Z
dc.date.issued2015
dc.identifier.urihttps://hdl.handle.net/10365/27685
dc.description.sponsorshipIIE team Fulbright sponsorshipen_US
dc.description.sponsorshipNorth Dakota State University. Department of Agribusiness and Applied Economicsen_US
dc.description.sponsorshipNational Science Foundation (NSF). Grant Number IIA-1355466en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeAgriculture, Food Systems and Natural Resourcesen_US
ndsu.departmentNatural Resources Managementen_US
ndsu.departmentSchool of Natural Resource Sciencesen_US
ndsu.programNatural Resources Managementen_US
ndsu.advisorRoberts, David C.


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