Economies of scale for data envelopment analysis with a Kansas farm application

dc.contributor.authorParman, Bryon James
dc.date.accessioned2013-07-30T16:38:04Z
dc.date.available2013-07-30T16:38:04Z
dc.date.graduationmonthAugusten_US
dc.date.issued2013-08-01
dc.date.published2013en_US
dc.description.abstractEstimation of cost functions can provide useful economic information to producers, economists, and policy makers. From the estimation of a cost function, it is possible to calculate cost efficiency, economies of scope, and economies of scale. Economic theory specifies the cost function as a frontier since firms cannot operate at lower cost than the cost minimizing input/output bundle. However, traditional parametric estimation techniques often violate economic theory using two sided-error systems. The stochastic frontier method has allowed the estimation of a frontier but continues to restrict the technology through functional assumption. Nonparametric frontier estimation is an alternative approach to estimate a cost frontier by enveloping the data which by its construct, conforms to economic theory. This research expands the economic information available by deriving multi-product scale economies and product-specific scale economies from the nonparametric approach. It also tests its ability to accurately recover these important economic measures under different assumptions of the cost function, and cost inefficiency distributions. Next, this new method is compared to other methods used to estimate cost functions and associated economic measures including a two-sided error system, stochastic frontier method, and an OLS model restricting the errors to take on only positive values. Finally, the nonparametric approach with the new measures is applied to a sample of Kansas farms. The nonparametric approach is able to closely estimate economies of scale and scope from estimation of a cost frontier. Comparison reveals that the nonparametric approach is closer to the “true” economic measures than some parametric methods and that it is better able to extrapolate out of sample when there are no zero output firms. Finally, the nonparametric approach shows that potential cost savings from economies of scale and economies of scope exist for small Kansas farms. However, cost savings from economies of scale become exhausted when farms exceed gross annual revenues of $500k, while economies of scope also diminish as farms grow larger. Results also show from annual frontier estimations that estimates of economies of scale, scope, and cost efficiency have remained relatively stable from 2002 to 2011.en_US
dc.description.advisorVincent Amanor-Boaduen_US
dc.description.advisorAllen M. Featherstoneen_US
dc.description.degreeDoctor of Philosophyen_US
dc.description.departmentDepartment of Agricultural Economicsen_US
dc.description.levelDoctoralen_US
dc.description.sponsorshipNational Science Foundation, Kansas State University Center for Sustainable Energyen_US
dc.identifier.urihttp://hdl.handle.net/2097/16002
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectData envelopment analysisen_US
dc.subjectCost frontieren_US
dc.subjectMulti-product economies of scaleen_US
dc.subjectProduct-specific economies of scaleen_US
dc.subjectFrontier analysisen_US
dc.subjectAgricultural productionen_US
dc.subject.umiEconomics (0501)en_US
dc.subject.umiEconomics, Agricultural (0503)en_US
dc.subject.umiEconomic Theory (0511)en_US
dc.titleEconomies of scale for data envelopment analysis with a Kansas farm applicationen_US
dc.typeDissertationen_US

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