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Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures

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  • García-Suárez, Federico
  • Pérez-Quesada, Gabriela
  • Molina, Carlos

Abstract

[EN] Rangeland cattle production is the largest agricultural sector of Uruguay. Ranches pro-duce up to three products (beef, sheep-meat, and wool) usually combined into an equivalent meat (EM) index. The objective is to compare the empirical results from the estimation of a single output stochastic production frontier (SPF) and a multi-output stochastic ray frontier (SRF) to provide insights on the use of the EM index to evaluate ranches performance. Results show similar efficiency scores. The average level of TE is 0.769 for the SPF and 0.779 for the SRF. We cannot discard EM index as a simple measure of combined production. [ES] La producción ganadera es el principal sector económico del Uruguay. Los establecimien-tos producen hasta tres productos (carne vacuna, ovina y lana) usualmente reportados en un indicador de carne equivalente. El objetivo es comparar resultados empíricos de una estimación con frontera estocástica de producción (SPF) y una frontera estocástica de rayo multiproducto (SRF) para aportar información en el uso del indicador para evaluar el desempeño de los establecimientos. Las estimaciones de ET son muy similares, 0,769 (SPF) y 0,779 (SRF), indicando que no hay evidencia suficiente para no usar el indicador de carne equivalente para evaluar el desempeño de la ganadería.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:earnsa:329177
    DOI: 10.22004/ag.econ.329177
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    1. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    2. 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(01), pages 1-14, April.
    3. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    4. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    5. Henningsen, Arne & Bělín, Matěj & Henningsen, Géraldine, 2017. "New insights into the stochastic ray production frontier," Economics Letters, Elsevier, vol. 156(C), pages 18-21.
    6. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    7. Niquidet, Kurt & Nelson, Harry, 2010. "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach," Journal of Forest Economics, Elsevier, vol. 16(4), pages 257-267, December.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. 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.
    10. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    11. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    12. 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.
    13. 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.
    14. Trestini, Samuele, 2006. "Technical Efficiency of Italian Beef Cattle Production Under a Heteroscedastic Non-Neutral Production Frontier Approach," Conference Papers 6683, University of Minnesota, Center for International Food and Agricultural Policy.
    15. 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.
    16. 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.
    17. Géraldine Henningsen & Arne Henningsen & Uwe Jensen, 2015. "A Monte Carlo study on multiple output stochastic frontiers: a comparison of two approaches," Journal of Productivity Analysis, Springer, vol. 44(3), pages 309-320, December.
    18. Tim J. Coelli & George E. Battese, 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 103-128, August.
    19. Qushim, Berdikul & Gillespie, Jeffrey M. & Nehring, Richard F., 2013. "Scale Economies And Economic Performance In Southeastern U.S. Cow-Calf Production," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143009, Southern Agricultural Economics Association.
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    1. Emilio Aguirre & Federico García-Suárez & Gabriela Sicilia, 2021. "Eficiencia técnica en la ganadería de carne bovina pastoril. Medición y exploración de sus determinantes en Uruguay," Documentos de Trabajo (working papers) 1321, Department of Economics - dECON.

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