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Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA

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Author Info

  • Morteza Haghiri
  • James Nolan
  • Kien Tran

Abstract

This paper examines and compares the technical efficiency measures of Ontario and New York dairy producers for the period 1992 to 1998. A nonparametric stochastic frontier model is introduced to estimate technical efficiency. The backfitting algorithm of Breiman and Friedman is used to estimate the frontier. Empirical results indicate that during the period of study, New York dairy farmers produced milk more efficiently than Ontario dairy producers, but the magnitude of the difference was small. The estimated mean technical efficiency for the former group is 0.602 as compared to 0.532 for the latter. The results also indicated that over time, dairy farms in both regions improved their level of technical efficiency. Furthermore, no correlation was found between farm size and estimated technical efficiency.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/0003684042000247406
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 36 (2004)
Issue (Month): 11 ()
Pages: 1233-1243

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Handle: RePEc:taf:applec:v:36:y:2004:i:11:p:1233-1243

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References

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  1. L. Martin Cloutier & Robin Rowley, 1993. "Relative Technical Efficiency: Data Envelopment Analysis and Quebec's Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 169-176, 07.
  2. Konstantinos Giannakas & Kien C. Tran & Vangelis Tzouvelekas, 2003. "On the choice of functional form in stochastic frontier modeling," Empirical Economics, Springer, vol. 28(1), pages 75-100, January.
  3. KNEIP, Alois & SIMAR, Léopold, 1995. "A General Framework for Frontier Estimation with Panel Data," CORE Discussion Papers 1995060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Tauer, Loren W. & Belbase, Krishna P., 1987. "Technical Efficiency Of New York Dairy Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(1), April.
  5. Kopp, Raymond J. & Diewert, W. Erwin, 1982. "The decomposition of frontier cost function deviations into measures of technical and allocative efficiency," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 319-331, August.
  6. R. CHEN & Wolfgang HÄRDLE & O. B. LINTON & E. SEVERANCE-LOSSIN, 1995. "Nonparametric Estimation of Additive Seperable Regression Models," SFB 373 Discussion Papers 1995,50, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  7. DEPRINS, Dominique & SIMAR, Léopold & TULKENS, Henry, . "Measuring labor-efficiency in post offices," CORE Discussion Papers RP -571, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Kumbhakar, Subal C & Biswas, Basudeb & Bailey, DeeVon, 1989. "A Study of Economic Efficiency of Utah Dairy Farmers: A System Approach," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 595-604, November.
  9. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
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Cited by:
  1. Morteza Haghiri, 2013. "Applied Nonparametric Regression Analysis: the Choice of Generalized Additive Models," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 25-34, February.
  2. Elskamp, Rebecca & Hailu, Getu, 2013. "Do Efficient Dairy Producers Purchase Quota?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149678, Agricultural and Applied Economics Association.

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