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Measurement And Explanation Of Technical Efficiency In Missouri Hog Production

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  • Ben-Belhassen, Boubaker
  • Womack, Abner W.

Abstract

The U.S. live hog production has undergone a significant structural change characterized by a trend toward larger operations. Experts argue that there is a cost advantage for larger farms due to industrialization and increased management intensity. One important element in production, mainly for industries with rapid consolidation, is technical efficiency which affects the firm's competitive position directly. This study uses a stochastic production frontier function and farm-level data to measure and explain technical efficiency in Missouri hog production. The study estimates the mean technical efficiency for farms in the sample at about 82 percent, implying that a large proportion of production (18%) is lost due to farm-specific inefficiencies. Further, the results of the technical efficiency model proves the effects of technology and managerial skills on the level of productive efficiency. The study also finds economies of scale in hog production, thus explaining the consolidation in the industry.

Suggested Citation

  • Ben-Belhassen, Boubaker & Womack, Abner W., 2000. "Measurement And Explanation Of Technical Efficiency In Missouri Hog Production," 2000 Annual meeting, July 30-August 2, Tampa, FL 21819, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea00:21819
    DOI: 10.22004/ag.econ.21819
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    References listed on IDEAS

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    1. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    2. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    3. Marvin L. Hayenga, 1998. "Cost Structures of Pork Slaughter and Processing Firms: Behavioral and Performance Implications," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 20(2), pages 574-583.
    4. V. James Rhodes, 1995. "The Industrialization of Hog Production," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(2), pages 107-118.
    5. Lawrence, John D. & Grimes, Glenn & Hayenga, Marvin, 1998. "Production and Marketing Characteristics of U.S. Pork Producers, 1997-1998," ISU General Staff Papers 199812010800001311, Iowa State University, Department of Economics.
    6. Kaparakis, Emmanuel I & Miller, Stephen M & Noulas, Athanasios G, 1994. "Short-Run Cost Inefficiency of Commercial Banks: A Flexible Stochastic Frontier Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(4), pages 875-893, November.
    7. Martin, John P & Page, John M, Jr, 1983. "The Impact of Subsidies on X-Efficiency in LDC Industry: Theory and an Empirical Test," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 608-617, November.
    8. A. Parikh & K. Shah, 1994. "Measurement Of Technical Efficiency In The North‐West Frontier Province Of Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 132-138, January.
    9. Kumbhakar, Subal C, 1987. "Production Frontiers and Panel Data: An Application to U.S. Class 1 Railroads," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 249-255, April.
    10. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    11. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    12. Hallam, Arne, 1988. "Economies Of Size: Theory, Measurement, And Related Issues," 1988 Conference, January 16-19, San Antonio, Texas 260098, Regional Research Committe NC-181: Determinants of Farm Size and Structure.
    13. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    14. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    15. Hayenga, Marvin L., 1998. "Cost Structures of Pork Slaughter and Processing Firms: Behavioral and Performance Implications," Staff General Research Papers Archive 1254, Iowa State University, Department of Economics.
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    Cited by:

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    2. Mbehoma, Petermus M. & Mutasa, Felician, 2013. "Determinants of Technical Efficiency of Smallholders Dairy Farmers in Njombe District, Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 1(2), July.
    3. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.
    4. Aree Cheamuangphan & Aree Wiboonpongse & Yaovarate Chaovanapoonphol & Songsak Sriboonchitta, 2013. "Factors enhancing production efficiency of farmer households who are members of saving groups in Upper Northern Thailand," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(2), pages 71-82, June.
    5. OBAYELU, Abiodun Elijah & MONCHO, Cocou Muriel Dorian & DIAI, Chukwunoso Christopher, 2016. "Technical Efficiency Of Production Of Quality Protein Maize Between Adopters And Non-Adopters, And The Determinants In Oyo State, Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(2), pages 1-10, October.

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