Spatial modeling in technology adoption decisions: the case of shuttle train elevators

This article empirically models a strategic game of technology adoption of shuttle train grain elevators with information on location of the firm and its competitors. A spatial econometric model illustrates the role of spatial interdependence of rivals’ decisions as well as agronomic and competitive...

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Autores:: Sarmiento, Camilo
Wilson, William W.

Tipo de recurso:: Article of journal

Fecha de publicación:: 2005

Institución:: Escuela Colombiana de Ingeniería Julio Garavito

Repositorio:: Repositorio Institucional ECI

Idioma:: eng

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dc.title.eng.fl_str_mv	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
title	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
spellingShingle	Spatial modeling in technology adoption decisions: the case of shuttle train elevators Correlación (estadística) Análisis espacial (estadística) Econometría espacial Correlation (statistics) Spatial analysis (statistics) Spatial econometrics concentrated likelihood function technology adoption shuttle trains spatial correlation función de probabilidad concentrada Adopción de tecnología Trenes lanzadera Correlación espacial
title_short	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
title_full	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
title_fullStr	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
title_full_unstemmed	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
title_sort	Spatial modeling in technology adoption decisions: the case of shuttle train elevators
dc.creator.fl_str_mv	Sarmiento, Camilo Wilson, William W.
dc.contributor.author.none.fl_str_mv	Sarmiento, Camilo Wilson, William W.
dc.contributor.researchgroup.spa.fl_str_mv	Centro de Estudios Económicos
dc.subject.armarc.none.fl_str_mv	Correlación (estadística) Análisis espacial (estadística) Econometría espacial Correlation (statistics) Spatial analysis (statistics) Spatial econometrics
topic	Correlación (estadística) Análisis espacial (estadística) Econometría espacial Correlation (statistics) Spatial analysis (statistics) Spatial econometrics concentrated likelihood function technology adoption shuttle trains spatial correlation función de probabilidad concentrada Adopción de tecnología Trenes lanzadera Correlación espacial
dc.subject.proposal.eng.fl_str_mv	concentrated likelihood function technology adoption shuttle trains spatial correlation
dc.subject.proposal.spa.fl_str_mv	función de probabilidad concentrada Adopción de tecnología Trenes lanzadera Correlación espacial
description	This article empirically models a strategic game of technology adoption of shuttle train grain elevators with information on location of the firm and its competitors. A spatial econometric model illustrates the role of spatial interdependence of rivals’ decisions as well as agronomic and competitive variables on discrete adoption decisions. The analysis assesses equilibria conditions that characterize technology adoption, in this case of shuttle train adoption, and the results provide an explanation of shuttle train adoption decisions in the grain handling industry in which spatial competition is critical.
publishDate	2005
dc.date.issued.none.fl_str_mv	2005-11
dc.date.accessioned.none.fl_str_mv	2024-02-09T20:04:46Z
dc.date.available.none.fl_str_mv	2024-02-09T20:04:46Z
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.eissn.spa.fl_str_mv	1034–1045
dc.identifier.instname.spa.fl_str_mv	Universidad Escuela Colombiana de Ingeniería Julio Garavito
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identifier_str_mv	0002-9092 1034–1045 Universidad Escuela Colombiana de Ingeniería Julio Garavito Repositorio Digital
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dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.citationendpage.spa.fl_str_mv	1044
dc.relation.citationissue.spa.fl_str_mv	4
dc.relation.citationstartpage.spa.fl_str_mv	1033
dc.relation.citationvolume.spa.fl_str_mv	87
dc.relation.ispartofjournal.eng.fl_str_mv	American Journal of Agricultural Economics
dc.relation.references.spa.fl_str_mv	Anselin, L. “Spatial Externalities.” International Regional Science Review 26(2003):147–52. Anselin, L., R. Bongiovanni, and J. LowenbergDeBoer. “A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production.” American Journal of Agricultural Economics 86(2004):675– 87 Barham, B.L., J.D. Foltz, D. Jackson-Smith, and S. Moon. “The Dynamics of Agricultural Biotechnology Adoption: Lessons from Series rBST Use in Wisconsin, 1994–2001.” American Journal of Agricultural Economics 86(2004):61–72. Burlington Northern-Santa Fe. Grain Elevator Directory, 2001. Available at: http://www.bnsf. com/business/agcom/elevator/elevmenu.html, accessed 10 December, 2001. Canadian Pacific Railway. Elevator Directory, 2001. Available at: http://www8.cpr.ca/cms/English/ default.htm, accessed 10 December, 2001, file not publicly accessible. Case, A. “Neighborhood Influence and Technological Change.” Regional Science and Urban Economics 22(1992):491–508. Dubin, R. “Estimating Logit Models with Spatial Dependence.” New Directions in Spatial Econometrics. Berlin, Heidelberg, New York: Springer-Verlag, 1995. Grain and Feed Association. Membership Directory. Grain and Feed Association: North Dakota, South Dakota, Montana, Minnesota, Colorado, Kansas, Nebraska, Oklahoma, and Texas, 2000, 2001. Griliches, Z. “Hybrid Corn—An Exploration in the Economics of Technological Change.” Econometrica 25(1957):501–22. Irwin, E.G., and N.E. Bockstael. “Interacting Agents, Spatial Externalities and the Evolution of Residential Land Use Patterns.” Journal of Economic Geography 2(2003):31–54. Johnson, M., and E.C. Pasour. “An Opportunity Cost View of Fixed Asset Theory and the Overproduction Cap.” American Journal of Agricultural Economics (1981):1–7. Kislev, Y., and W. Peterson. “Induced Innovations and Farm Mechanization.” American Journal of Agricultural Economics 63(1981, 3):562– 65. Klindworth, K. Comments at the National Grain and Feed Association Rail Transportation Symposium, Ponte Vendra Beach, FL, 15–17 May, 2000. McMillan, D.P. “Spatial Effects in Probit Models: A Monte Carlo Investigation.” In New Directions in Spatial Econometrics. Berlin, Heidelberg, New York: Springer-Verlag, pp. 189–222, 1995. Nelson, G.C. “Introduction to the Special Issue on Spatial Analysis for Agricultural Economists.” Agricultural Economics 27(2002):197–200 Nelson, G.C., and J. Geoghegan. “Deforestation and Land Use Change: Sparse Data Environments.” Agricultural Economics 27(2002):201– 16. Olmstead, A.L., and P.W. Rhode. “The Diffusion of the Tractor in American Agriculture: 1910–60.” NBER Working paper 7947, National Bureau of Economic Research, Inc., 2000 Ruttan, V. Technology, Growth, and Development: An Induced Innovation Perspective. Oxford, UK: Oxford University Press, 2000 Shavinina, L. The International Handbook on Innovation. Canada: Carleton University, 2003. Sunding, D., and D. Zilberman. “The Agricultural Innovation Process: Research and Technology Adoption in a Changing Agricultural Sector.” In G.C. Rausser and B. Gardner, eds. The Handbook of Agricultural Economics, Amsterdam: North-Holland, 2001, pp. 1–103. U.S. Department of Agriculture. National Agricultural Statistics Service. Available at: http:// www.usda.gov/nass/aggraphs/cropmap.htm, accessed 10 December, 2001. Vachal, K., J. Bitzan, and B. Baldwin. “Implications of a North American Grain Marketing System for Prairie Transportation & Elevators.” MPC Report No. 97-84, Upper Great Plains Transportation Institute, North Dakota State University, Fargo, September 1997. Vachal, K., J. Bitzan, D. Tolliver, and B. Baldwin. “110+ Car Marketing: An Alternative for Shipping Hard Red Spring Wheat.” Ag Transportation News, Upper Great Plains Transportation Institute, North Dakota State University, Fargo, May 1999. Watson, J. Strategy: An Introduction to Game Theory. New York: Norton Publishing, 2002. Wilson, W., and W. Wilson. “Deregulation, Rate Incentives, and Efficiency in Railroad Shipping of Agricultural Commodities.” Review of Transportation Economics 6(2001):1–24.
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dc.format.extent.spa.fl_str_mv	12 páginas
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dc.publisher.spa.fl_str_mv	American Agricultural Economics Association
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institution	Escuela Colombiana de Ingeniería Julio Garavito
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spelling	Sarmiento, Camiloa48a67bcfacaaa8d4773d8fd3f6d85acWilson, William W.ff9c70755839669e1eac551bf07e75d3Centro de Estudios Económicos2024-02-09T20:04:46Z2024-02-09T20:04:46Z2005-110002-9092https://repositorio.escuelaing.edu.co/handle/001/28471034–1045Universidad Escuela Colombiana de Ingeniería Julio GaravitoRepositorio Digitalhttps://repositorio.escuelaing.edu.co/This article empirically models a strategic game of technology adoption of shuttle train grain elevators with information on location of the firm and its competitors. A spatial econometric model illustrates the role of spatial interdependence of rivals’ decisions as well as agronomic and competitive variables on discrete adoption decisions. The analysis assesses equilibria conditions that characterize technology adoption, in this case of shuttle train adoption, and the results provide an explanation of shuttle train adoption decisions in the grain handling industry in which spatial competition is critical.Este artículo modela empíricamente un juego estratégico de adopción de tecnología de elevadores de granos con tren lanzadera con información sobre la ubicación de la empresa y sus competidores. Un modelo econométrico espacial ilustra el papel de la interdependencia espacial de las decisiones de los rivales, así como de las variables agronómicas y competitivas, en las decisiones de adopción discretas. El análisis evalúa las condiciones de equilibrio que caracterizan la adopción de tecnología, en este caso la adopción de trenes lanzadera, y los resultados proporcionan una explicación de las decisiones de adopción de trenes lanzadera en la industria de manejo de granos en la que la competencia espacial es crítica.12 páginasapplication/pdfengAmerican Agricultural Economics AssociationEstados Unidoshttps://onlinelibrary.wiley.com/journal/14678276Spatial modeling in technology adoption decisions: the case of shuttle train elevatorsArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a8510444103387American Journal of Agricultural EconomicsAnselin, L. “Spatial Externalities.” International Regional Science Review 26(2003):147–52.Anselin, L., R. Bongiovanni, and J. LowenbergDeBoer. “A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production.” American Journal of Agricultural Economics 86(2004):675– 87Barham, B.L., J.D. Foltz, D. Jackson-Smith, and S. Moon. “The Dynamics of Agricultural Biotechnology Adoption: Lessons from Series rBST Use in Wisconsin, 1994–2001.” American Journal of Agricultural Economics 86(2004):61–72.Burlington Northern-Santa Fe. Grain Elevator Directory, 2001. Available at: http://www.bnsf. com/business/agcom/elevator/elevmenu.html, accessed 10 December, 2001.Canadian Pacific Railway. Elevator Directory, 2001. Available at: http://www8.cpr.ca/cms/English/ default.htm, accessed 10 December, 2001, file not publicly accessible.Case, A. “Neighborhood Influence and Technological Change.” Regional Science and Urban Economics 22(1992):491–508.Dubin, R. “Estimating Logit Models with Spatial Dependence.” New Directions in Spatial Econometrics. Berlin, Heidelberg, New York: Springer-Verlag, 1995.Grain and Feed Association. Membership Directory. Grain and Feed Association: North Dakota, South Dakota, Montana, Minnesota, Colorado, Kansas, Nebraska, Oklahoma, and Texas, 2000, 2001.Griliches, Z. “Hybrid Corn—An Exploration in the Economics of Technological Change.” Econometrica 25(1957):501–22.Irwin, E.G., and N.E. Bockstael. “Interacting Agents, Spatial Externalities and the Evolution of Residential Land Use Patterns.” Journal of Economic Geography 2(2003):31–54.Johnson, M., and E.C. Pasour. “An Opportunity Cost View of Fixed Asset Theory and the Overproduction Cap.” American Journal of Agricultural Economics (1981):1–7.Kislev, Y., and W. Peterson. “Induced Innovations and Farm Mechanization.” American Journal of Agricultural Economics 63(1981, 3):562– 65.Klindworth, K. Comments at the National Grain and Feed Association Rail Transportation Symposium, Ponte Vendra Beach, FL, 15–17 May, 2000.McMillan, D.P. “Spatial Effects in Probit Models: A Monte Carlo Investigation.” In New Directions in Spatial Econometrics. Berlin, Heidelberg, New York: Springer-Verlag, pp. 189–222, 1995.Nelson, G.C. “Introduction to the Special Issue on Spatial Analysis for Agricultural Economists.” Agricultural Economics 27(2002):197–200Nelson, G.C., and J. Geoghegan. “Deforestation and Land Use Change: Sparse Data Environments.” Agricultural Economics 27(2002):201– 16.Olmstead, A.L., and P.W. Rhode. “The Diffusion of the Tractor in American Agriculture: 1910–60.” NBER Working paper 7947, National Bureau of Economic Research, Inc., 2000Ruttan, V. Technology, Growth, and Development: An Induced Innovation Perspective. Oxford, UK: Oxford University Press, 2000Shavinina, L. The International Handbook on Innovation. Canada: Carleton University, 2003.Sunding, D., and D. Zilberman. “The Agricultural Innovation Process: Research and Technology Adoption in a Changing Agricultural Sector.” In G.C. Rausser and B. Gardner, eds. The Handbook of Agricultural Economics, Amsterdam: North-Holland, 2001, pp. 1–103.U.S. Department of Agriculture. National Agricultural Statistics Service. Available at: http:// www.usda.gov/nass/aggraphs/cropmap.htm, accessed 10 December, 2001.Vachal, K., J. Bitzan, and B. Baldwin. “Implications of a North American Grain Marketing System for Prairie Transportation & Elevators.” MPC Report No. 97-84, Upper Great Plains Transportation Institute, North Dakota State University, Fargo, September 1997.Vachal, K., J. Bitzan, D. Tolliver, and B. Baldwin. “110+ Car Marketing: An Alternative for Shipping Hard Red Spring Wheat.” Ag Transportation News, Upper Great Plains Transportation Institute, North Dakota State University, Fargo, May 1999.Watson, J. Strategy: An Introduction to Game Theory. New York: Norton Publishing, 2002.Wilson, W., and W. Wilson. “Deregulation, Rate Incentives, and Efficiency in Railroad Shipping of Agricultural Commodities.” Review of Transportation Economics 6(2001):1–24.info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCorrelación (estadística)Análisis espacial (estadística)Econometría espacialCorrelation (statistics)Spatial analysis (statistics)Spatial econometricsconcentrated likelihood functiontechnology adoptionshuttle trainsspatial correlationfunción de probabilidad concentradaAdopción de tecnologíaTrenes lanzaderaCorrelación espacialTEXTSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdf.txtSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdf.txtExtracted texttext/plain49039https://repositorio.escuelaing.edu.co/bitstream/001/2847/4/SPATIAL%20MODELING%20IN%20TECHNOLOGY%20ADOPTION%20DECISIONS.pdf.txt2507b6b3eed59f621fb7ff6efebc1d27MD54open accessTHUMBNAILPortada spatial modeling in technology adoption decisions.JPGPortada spatial modeling in technology adoption decisions.JPGimage/jpeg201606https://repositorio.escuelaing.edu.co/bitstream/001/2847/3/Portada%20spatial%20modeling%20in%20technology%20adoption%20decisions.JPGc3864488a7347ecd60c257e838aba128MD53open accessSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdf.jpgSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdf.jpgGenerated Thumbnailimage/jpeg16087https://repositorio.escuelaing.edu.co/bitstream/001/2847/5/SPATIAL%20MODELING%20IN%20TECHNOLOGY%20ADOPTION%20DECISIONS.pdf.jpg155e4e10d55ca30b6b651600796469b8MD55metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/2847/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open accessORIGINALSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdfSPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdfapplication/pdf116962https://repositorio.escuelaing.edu.co/bitstream/001/2847/1/SPATIAL%20MODELING%20IN%20TECHNOLOGY%20ADOPTION%20DECISIONS.pdf6546d1a215a20fd46cf2e36681899c7fMD51metadata only access001/2847oai:repositorio.escuelaing.edu.co:001/28472024-07-28 03:01:14.835metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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

Spatial modeling in technology adoption decisions: the case of shuttle train elevators

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