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A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina

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  • Gatti, Nicolas
  • Lema, Daniel
  • Brescia, Victor

Abstract

In this paper the stochastic metafrontier method is applied to estimate technical efficiency (TE) and metatechnology ratios (MTR), in beef cattle production for three distinct regions in Argentina. A deterministic stochastic metafrontier production function model is estimated that envelops the individual stochastic frontiers of the three regions. Our results show that firms from Pampean region, the most favored in terms of environment conditions, have an average (TE) of 53.7%, meanwhile for others regions the TE is around 58.9-66.97%. The average MTR for Pampean region is 96.8%, in contrast, the others regions have an average MTR of 42%. Our results suggest that, farms in the Pampean region could improve their performance through a better management using the available technologies and resources. In regions II and III the improvement of the productivity is likely to require additional investment in research to adapt and develop new technologies.

Suggested Citation

  • Gatti, Nicolas & Lema, Daniel & Brescia, Victor, 2015. "A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina," 2015 Conference, August 9-14, 2015, Milan, Italy 211647, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:211647
    DOI: 10.22004/ag.econ.211647
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    1. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2012. "Determinants of technical efficiency in beef cattle production in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125853, International Association of Agricultural Economists.
    2. Unknown, 2008. "Institute of Agricultural Economics," Economics of Agriculture, Institute of Agricultural Economics, vol. 55(3).
    3. George E. Battese & Sohail J. Malik & Sumiter Broca, 1993. "Production Functions for Wheat Farmers in Selected Districts of Pakistan: An Application of a Stochastic Frontier Production Function with Time-varying Inefficiency Effects," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(3), pages 233-268.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Gallacher, Marcos & Goetz, Stephan J. & Debertin, David L., 1994. "Managerial form, ownership and efficiency: a case-study of Argentine agriculture," Agricultural Economics, Blackwell, vol. 11(2-3), pages 289-299, December.
    6. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    7. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications - Books, The World Bank Group, number 15149, December.
    8. Yair Mundlak & René Hellinghausen, 1982. "The Intercountry Agricultural Production Function: Another View," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 664-672.
    9. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    10. Rakipova, Anna N. & Gillespie, Jeffrey M. & Franke, Donald E., 2003. "Determinants of Technical Efficiency in Louisiana Beef Cattle Production," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2003, pages 1-9.
    11. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    12. Víctor Moreira & Boris Bravo-Ureta, 2010. "Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 33(1), pages 33-45, February.
    13. Marcos Gallacher, 1999. "Human Capital and Production Efficiency: Argentine Agriculture," CEMA Working Papers: Serie Documentos de Trabajo. 158, Universidad del CEMA.
    14. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.
    15. Villano, Renato A. & Fleming, Euan M. & Fleming, Pauline, 2008. "Measuring Regional Productivity Differences in the Australian Wool Industry: A Metafrontier Approach," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6036, Australian Agricultural and Resource Economics Society.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    18. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    19. 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.
    20. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
    21. Featherstone, Allen M. & Langemeier, Michael R. & Ismet, Mohammad, 1997. "A Nonparametric Analysis of Efficiency for a Sample of Kansas Beef Cow Farms," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 29(1), pages 175-184, July.
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    2. Garcia Suarez, F. & Quesada, G. Perez & Molina Ricetto, C., 2018. "Rangeland cattle production in Uruguay: single-output versus multi-output efficiency measures," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277178, International Association of Agricultural Economists.
    3. García-Suárez, Federico & Pérez-Quesada, Gabriela & Molina, Carlos, 2022. "Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 22(01), June.

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    Livestock Production/Industries; Research and Development/Tech Change/Emerging Technologies;

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