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Production function estimations and policy implications

dc.contributor.authorKhreisat, Mohammad Abdallah, author
dc.contributor.authorCutler, Harvey, advisor
dc.contributor.authorMushinski, David, committee member
dc.contributor.authorShields, Martin, committee member
dc.contributor.authorDavies, Stephen, committee member
dc.date.accessioned2007-01-03T08:20:39Z
dc.date.available2007-01-03T08:20:39Z
dc.date.issued2011
dc.description.abstractThe main purpose of the dissertation is to provide the decision makers in local governments in Colorado with a information regarding the economic characteristics of industries and firms they need to attract to their regions to mitigate the inverse impacts of job loss, and local government revenue decreases during economic down turns. The dissertation estimates four different production functions classified in two groups; homogeneous functions, and non-homogeneous functions. The estimation is held at the industry level using firm level data for six major counties in Colorado. This is the first empirical study that explores the importance of land in the production process, in addition to the primary inputs of capital stock and labor. The study also determines the production function that best fits the data structure instead of other studies which assume in priori the type of production function. In addition, the study will explore the returns to scale and elasticity of substitutions for the three input variables (land, labor, and capital) at the industry and firm levels. Furthermore, the dissertation explores the convergence of total factor productivity within industry and among counties, and within county and among the different industries in the same county. The main findings of the study are: (i) local governments have to attract the industries or firms with low elasticity of substitutions between labor and capital from one side; and industries or firms with low complementarity between land and labor, and capital and land; (ii) land is an important input variable in the production process, especially in Denver County; (iii) local government has to attract firms with increasing returns to scale because of their positive impact on employment, economic growth, local government revenues, and competitiveness outside the county; (iv) local governments have to encourage firms with high k/l ratio accompanied with low elasticity of substitutions; and (v) the negative relation between total factor productivity and partial scale elasticity, leads to the conclusion that the industries or firms either substitute TFP with RTS or firms with high RTS delay applying advanced technology.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierKhreisat_colostate_0053A_10824.pdf
dc.identifierETDF2011400251ECON
dc.identifier.urihttp://hdl.handle.net/10217/70446
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectelasticity of substitution or complementarity
dc.subjecthomogeneous production functions
dc.subjectmodel fitness
dc.subjectnonhomogeneous production functions
dc.subjecttotal factor productivity
dc.subjectvaries returns to scale
dc.titleProduction function estimations and policy implications
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineEconomics
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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