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

Thumbnail Image
Files

Files

SPATIAL MODELING IN TECHNOLOGY ADOPTION DECISIONS.pdf (114.22 KB)
View Statistics
Reference Managers
Mendeley
Indexers
Google Scholar CORE
QR Code
QR Code
Authors

Authors

Sarmiento, Camilo
Wilson, William W.
Abstract (Spanish)
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.
Abstract (English)
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.
Extent
12 páginas
URI: https://repositorio.escuelaing.edu.co/handle/001/2847
Collections

Collections

AG - Centro de Estudios Económicos
References

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.