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Impact of Financial Variables on Production in Kansas Farms Efficiencies

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Author Info

  • Andreu, Monica Lopez
  • Featherstone, Allen M.
  • Langemeier, Michael R.
  • Grunewald, Orlen C.

Abstract

This article establishes the cost-efficiency frontier and its variation over time for a sample of 610 farms in Kansas for ten consecutive years, from 1995 to 2004. The primary objective consists of examining how financially constrained firms affect cost efficiency and its components, allocative, technical and scale efficiency. Using a sample from the Kansas Farm Management Association and data envelopment analysis (DEA) technique, each farm is measured against the rest of the sample to calculate the cost efficiency frontier and other measures of efficiency per year. Two DEA financially constrained models, constrained by solvency and level of debt of the firms respectively, are compared to the basic one in which firms are non-constrained. We test whether the debt and solvency constraints are binding, and how much and in which direction they affect the level of cost efficiency, technical efficiency, allocative efficiency, and scale efficiency. Results for the farms and period studied show that financial constraints do not impede farms from achieving their level of cost efficiency. However, in the presence of financial constraints, farms'’ level of technical efficiency decreases whereas their level of allocative efficiency increases.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21406.

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Date of creation: 2006
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Handle: RePEc:ags:aaea06:21406

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Keywords: Farm Management;

References

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  1. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
  2. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
  3. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
  4. Tauer, Loren W. & Hanchar, John J., 1995. "Nonparametric Technical Efficiency With K Firms, N Inputs, And M Outputs: A Simulation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(2), October.
  5. Nivens, Heather D. & Kastens, Terry L. & Dhuyvetter, Kevin C., 2002. "Payoffs To Farm Management: How Important Is Crop Marketing?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(01), April.
  6. Russell, Levi A. & Briggeman, Brian C. & Featherstone, Allen M., 2013. "Debt and Input Misallocation in Farm Supply and Marketing Cooperatives: A DEA Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150445, Agricultural and Applied Economics Association.
  7. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
  8. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.
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  10. Hadley, David & Shankar, Bhavani & Thirtle, Colin G. & Coelli, Tim J., 2001. "Financial Exposure, Technical Change And Farm Efficiency: Evidence From The England And Wales Dairy Sector," 2001 Annual meeting, August 5-8, Chicago, IL 20656, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. Chavas, Jean-Paul & Aliber, Michael, 1993. "An Analysis Of Economic Efficiency In Agriculture: A Nonparametric Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(01), July.
  12. Massimiliano Piacenza, 2006. "Regulatory Contracts and Cost Efficiency: Stochastic Frontier Evidence from the Italian Local Public Transport," Journal of Productivity Analysis, Springer, vol. 25(3), pages 257-277, 06.
  13. Ralph Bierlen & Allen M. Featherstone, 1998. "Fundamental q, Cash Flow, and Investment: Evidence from Farm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 427-435, August.
  14. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
  15. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), April.
  16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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Cited by:
  1. Kandilov, Amy & Kandilov, Ivan, 2013. "The Impact of Interstate Bank Branching Deregulations on the U.S. Agricultural Sector: From Better Access to Credit to Higher Farm Sales and Profits," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149820, Agricultural and Applied Economics Association.

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