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dc.contributor.authorSarmiento, Camilo
dc.contributor.authorWilson, William W.
dc.contributor.authorDahl, Bruce
dc.date.accessioned2023-08-24T12:40:05Z
dc.date.available2023-08-24T12:40:05Z
dc.date.issued2012
dc.identifier.issn1520-6297spa
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/2593
dc.description.abstractEthanol is one of the fastest growing industries in the United States. This study estimates factors that impact location decisions for new ethanol plants using logistic regression analysis and spatial correlation techniques. The results indicate that location decisions are impacted by county agricultural characteristics, competing ethanol plants, and state-level subsidies. Spatial competition is particularly important. Existence of competing ethanol plants reduces the likelihood of making a positive location decision, and this impact decreases with distance. Finally, state-level subsidies are significant and a very important variable impacting ethanol location decisions. [JEL Classification: C13, C21, C25, C35, Q42]. C 2012 Wiley Periodicals, Inc.eng
dc.description.abstractEl etanol es una de las industrias de más rápido crecimiento en los Estados Unidos. Este estudio estima los factores que impactan las decisiones de ubicación de nuevas plantas de etanol utilizando análisis de regresión logística y técnicas de correlación espacial. Los resultados indican que las decisiones de ubicación se ven afectadas por las características agrícolas del condado, las plantas de etanol que compiten y los subsidios a nivel estatal. La competencia espacial es particularmente importante. La existencia de plantas de etanol competidoras reduce la probabilidad de tomar una decisión positiva sobre la ubicación, y este impacto disminuye con la distancia. Finalmente, los subsidios a nivel estatal son significativos y una variable muy importante que impacta las decisiones de ubicación del etanol. [Clasificación JEL: C13, C21, C25, C35, Q42]. C 2012 Wiley Periodicals, Inc.spa
dc.format.extent14 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherWiley Online Libraryspa
dc.sourcewileyonlinelibrary.com/journal/agrspa
dc.titleSpatial Competition and Ethanol Plant Location Decisionseng
dc.typeArtículo de revistaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupCentro de Estudios Económicosspa
dc.identifier.eissn1520-6297spa
dc.identifier.instnameUniversidad Escuela Colombiana de Ingeniería Julio Garavitospa
dc.identifier.reponameRepositorio Digitalspa
dc.identifier.repourlhttps://repositorio.escuelaing.edu.co/spa
dc.relation.citationeditionVol. 28 No. 3 de 2012spa
dc.relation.citationendpage272spa
dc.relation.citationissue3spa
dc.relation.citationstartpage260spa
dc.relation.citationvolume28spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalAgribusinesseng
dc.relation.referencesAnselin, L. (2003). Spatial externalities. International Regional Science Review, 26, 147–152.spa
dc.relation.referencesAnselin, L., Bongiovanni, R., & Lowenberg-DeBoer, J. (2004). A spatial econometric approach to the economics of site-specific nitrogen management in corn production. American Journal of Agricultural Economics, 86, 675–687.spa
dc.relation.referencesCase, A. (1992). Neighborhood influence and technological change. Regional Science and Urban Economics, 22, 491–508.spa
dc.relation.referencesDubin, R. (1995). Estimating logit models with spatial dependence. New Directions in Spatial Econometrics. Heidelberg: Springer-Verlag.spa
dc.relation.referencesCollins, K. (2006). Statement of Keith Collins, Chief Economist, U.S. Department of Agriculture Before the U.S. Senate Committee on Environment and Public Works. Retrieved April 26, 2007, from http://www.usda.gov/oce/ newsroom/congressional_testimony/Biofuels%20Tesspa
dc.relation.referencesEnergy Information Administration. (2006a). Annual Energy Outlook, 2006: With projections to 2030 (AEO2006). Washington, DC: U.S. Department of Energy.spa
dc.relation.referencesEnergy Information Administration. (2006b). EliminatingMTBE in Gasoline in 2006.Washington, DC: U.S. Department of Energy.spa
dc.relation.referencesEnergy Information Administration. (2010). Annual Energy Outlook, 2010: With projections to 2035 [DOE/EIAA-0383(2010)]. Washington, DC: U.S. Department of Energy and U.S. Energy Information Administration. Ethanol Producer Magazine. (2006). Plant locations/planned expansions. Retrieved August 7, 2006, from http://www.ethanolproducer.com/plant-list.jsp?country=USAspa
dc.relation.referencesFatka, J. (2006a, November 27). CRP not corn’s answer. Feedstuffs, p. 1.spa
dc.relation.referencesFatka, J. (2006b, November 27). Rotations, biotechnology give corn an edge. Feedstuffs, p. 1.spa
dc.relation.referencesFeed Management. (1995–2004, September/October). U.S. Feed Market Data. Feed Management.spa
dc.relation.referencesHart, C. (2006a, Spring). CRP Acreage on the horizon. Iowa Ag Review, 12, 8–9.spa
dc.relation.referencesHart, C. (2006b, Fall). Feeding the ethanol boom: Where will the corn come from? Iowa Ag Review, 12, 4.spa
dc.relation.referencesIrwin, E.G., & Bockstael, N.E. (2003). Interacting agents, spatial externalities, and the evolution of residential land use patterns. Journal of Economic Geography, 2, 31–54.spa
dc.relation.referencesKelejian, H.H., & Prucha, I.R. (2001). On the asymptotic distribution of the Moran i test statistic with applications. Journal of Econometrics, 10(4), 219–257.spa
dc.relation.referencesKlier, T., & McMillen, D.P. (2008). Clustering of auto supplier plants in the United States: Generalized method of moments spatial logit for large samples. Journal of Business and Economics Statistics, 26(4), 460–471.spa
dc.relation.referencesLoftus, L. (2010, October 11). Clock ticking down on U.S. ethanol subsidies. International Herald Tribune, p. 10.spa
dc.relation.referencesMann Global Research. (2006). Daily briefing. Retrieved December 5, 2006, from https://research.mfglobal. com/dailyres/main.asp?f=1&20070726143503spa
dc.relation.referencesMcMillen, D.P. (1995). Spatial effects in probit models: A Monte Carlo investigation. New Directions in Spatial Econometrics. Heidelberg: Springer-Verlag.spa
dc.relation.referencesMeyer, P. (2006, April 25). Biotech conference provides venue for discussion of ethanol. Milling and Baking News, p. 20.spa
dc.relation.referencesNational Agricultural Statistics Service. (1995–2005). Aygricultural Statistics Database. Washington, DC: U.S. Department of Agriculture. Retrieved August 7, 2006, from http://www.nass.usda.gov/index.asp National Agricultural Statistics Service. (2007). U.S. Farmers plant largest corn crop in 63 years. Washington, DC: U.S. Department of Agriculture.spa
dc.relation.referencesNelson, G.C. (2002). Introduction to the special issue on spatial analysis for agricultural economists. Agricultural Economics, 27, 197–200.spa
dc.relation.referencesNelson, G.C., & Geoghegan, J. (2002). Deforestation and land use change: Sparse data environments. Agricultural Economics, 27, 201–216.spa
dc.relation.referencesOtto, D., & Gallagher, P. (2003). Economic effects of current ethanol industry expansion in Iowa. Iowa City: Iowa State University. Retrieved April 26, 2007, from http://www.agmrc.org/NR/rdonlyres/D949FB63-E1D0- 40-86CD-5B710B8663DF/0/economiceffectsiaethoanol.pdfspa
dc.relation.referencesPates, M. (2006, December 11). Early out?: CRP Contract holders seek greener pastures. AgWeek, p. 32.spa
dc.relation.referencesProExporter. (2006). Potential size and impact of U.S. ethanol expansion. Kansas City: Author.spa
dc.relation.referencesProExporter. (2007). PRX Grain Database, Section 1. Ethanol. Kansas City Author.spa
dc.relation.referencesProExporter. (2010). PRX Grain DataBase. Kansas City: Author.spa
dc.relation.referencesRed River Farm Network. (2006). Red River Farm Network. Retrieved April 26, 2007, from http://www.rrfn.com/ Renewable Fuels Association. (2006). Plant locations: U.S. fuel ethanol industry plants and production capacity. Retrieved August 7, 2006, from http://www.ethanolrfa.org/industry/locations/spa
dc.relation.referencesRenewable Fuels Association. (2007). Industry statistics. Retrieved April 26, 2007, from http://www.ethanolrfa. org/industry/statistics/spa
dc.relation.referencesSarmiento, C., & Wilson, W. (2005). Spatial modeling in technology adoption decisions: The case of shuttle train elevators. American Journal of Agricultural Economics, 87, 1033–1044.spa
dc.relation.referencesSarmiento, C., & Wilson, W. (2007). Spatially correlated exit strategies. Applied Economics, 39, 441–448. Schlicher, M. (2006, July). Speech to BIO 2006. Feedstuffs, p. 4.spa
dc.relation.referencesSmith, R. (2006, June 5). Ethanol production to create historic change. Feedstuffs, pp. 24–25.spa
dc.relation.referencesSosland Publishing. (2006, November 7). Demand surge for ethanol raising questions, but seen as sustainable.Milling and Baking News, p. 1.spa
dc.relation.referencesUrbanchuk, J.M. (2003, February). The impact of growing ethanol byproduct production on livestock feed markets. Paper presented at the USDA Agricultural Outlook Forum 2003, Arlington, VA.spa
dc.relation.referencesWand, M.P., & Jones, M.C. (1995). Kernel smoothing. Monographs on statistics and applied probability. London: Chapman & Hall.spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.subject.armarcAgricultura - Aspectos económicos
dc.subject.armarcEtanol - Aspectos económicos
dc.subject.armarcPlantas de etanol - Aspectos económicos
dc.subject.armarcAgricultura y estado
dc.subject.armarcAgriculture - Economic aspects
dc.subject.armarcEthanol - Economic aspects
dc.subject.armarcEthanol Plants - Economic Aspects
dc.subject.armarcAgriculture and state
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa


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