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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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  • 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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  • Morteza Haghiri & James Nolan & Kien Tran, 2004. "Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1233-1243.
  • Handle: RePEc:taf:applec:v:36:y:2004:i:11:p:1233-1243
    DOI: 10.1080/0003684042000247406
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    Cited by:

    1. 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.
    2. Alexander Bilson Darku & Stavroula Malla & Kien C. Tran, 2016. "Sources and Measurement of Agricultural Productivity and Efficiency in Canadian Provinces: Crops and Livestock," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 49-70, March.
    3. Alphonse Singbo & Bruno Larue, 2016. "Scale Economies, Technical Efficiency, and the Sources of Total Factor Productivity Growth of Quebec Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 339-363, June.
    4. Jean‐Paul Chavas & Doris Läpple & Bradford Barham & Emma Dillon, 2022. "An economic analysis of production efficiency: Evidence from Irish farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 153-173, June.
    5. 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.
    6. Ruhul Salim & Amzad Hossain, 2006. "Market deregulation, trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2567-2580.
    7. Azza El-Shinnawy, 2010. "Trends of Total Factor Productivity in Egypt’s Pharmaceutical Industry: Evidence from the Nonparametric Malmquist Index Approach," Working Papers 524, Economic Research Forum, revised 05 Jan 2010.
    8. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    9. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.

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