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

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

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dc.contributor.author García-Suárez, Federico es_ES
dc.contributor.author Pérez-Quesada, Gabriela es_ES
dc.contributor.author Molina Riccetto, Carlos es_ES
dc.coverage.spatial east=-55.765835; north=-32.522779; name=Uruguay es_ES
dc.date.accessioned 2022-07-06T10:20:05Z
dc.date.available 2022-07-06T10:20:05Z
dc.date.issued 2022-06-22
dc.identifier.issn 1578-0732
dc.identifier.uri http://hdl.handle.net/10251/183868
dc.description.abstract [EN] Rangeland cattle production is the largest agricultural sector of Uruguay. Ranches produce 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 useof 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_ES
dc.description.abstract [ES] La producción ganadera es el principal sector económico del Uruguay. Los establecimientos 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 indicadorde carne equivalente para evaluar el desempeño de la ganadería. es_ES
dc.description.sponsorship The authors want to thank the Instituto Plan Agropecuario for making the data available for research purposes. García-Suárez and Pérez-Quesada share senior authorship. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Economía Agraria y Recursos Naturales - Agricultural and Resource Economics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Beef es_ES
dc.subject Production es_ES
dc.subject Rangeland cattle es_ES
dc.subject Stochastic production frontier es_ES
dc.subject Stochastic ray frontier es_ES
dc.subject Carne es_ES
dc.subject Producción es_ES
dc.subject Ganadería es_ES
dc.subject Fronteras de producción estocásticas es_ES
dc.subject Fronteras de rayo estocásticas es_ES
dc.title Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures es_ES
dc.title.alternative Producción ganadera pastoril en Uruguay: medidas de eficiencia multiproducto versus uniproducto es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.7201/earn.2022.01.04
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation García-Suárez, F.; Pérez-Quesada, G.; Molina Riccetto, C. (2022). Rangeland cattle production in Uruguay: Single-output versus multi-output efficiency measures. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 22(1):69-88. https://doi.org/10.7201/earn.2022.01.04 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.7201/earn.2022.01.04 es_ES
dc.description.upvformatpinicio 69 es_ES
dc.description.upvformatpfin 88 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2174-7350
dc.relation.pasarela OJS\14611 es_ES
dc.contributor.funder Instituto Nacional de Investigación Agropecuaria, Uruguay es_ES
dc.description.references Aguirre, E. (2018). "Evolución reciente de la productividad ganadera en Uruguay (2010-2017). Metodología y primeros resultados". Anuario OPYPA 2018, 457-470. Montevideo, Uruguay: Ministerio de Ganadería Agricultura y Pesca. Retrieved from: https://www.gub.uy/ministerio-ganaderia-agricultura-pesca/sites/ministerio-ganaderia-agricultura-pesca/files/documentos/publicaciones/ProductividadGanadera.pdf es_ES
dc.description.references Aigner, D., Knox Lovell, C.A. & Schmidt, P. (1977). "Formulation and estimation of stochastic frontier production function models". Journal of Econometrics, 6(1), 21-37. https://doi.org/10.1016/0304-4076(77)90052-5 es_ES
dc.description.references Álvarez, J.E. (2013). "Ventajas y limitaciones del uso de indicadores sintéticos de productividad física de la ganadería en la comparación del desempeño productivo de los sistemas agrarios de Nueva Zelanda y Uruguay". Communication presented to IX Jornadas de Investigación en Historia Económica, AUDHE, Montevideo. Retrieved from: https://www.audhe.org.uy/images/stories/upload/Jornadas_nacionales/novenas2013/jorge%20alvarez_audhe_%202013_1.pdf es_ES
dc.description.references Battese, G.E. & Coelli, T.J. (1988). "Prediction of firm-level technical efficiencies with generalized frontier production function and panel data". Journal of Economics, 38(3), 387-399. https://doi.org/10.1016/0304-4076(88)90053-X es_ES
dc.description.references Battese, G.E. & Coelli, T.J. (1992). "Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India". Journal of Productivity Analysis, 3, 153-169. https://doi.org/10.1007/BF00158774 es_ES
dc.description.references Battese, G.E. & Coelli, T.J. (1995). "A model for technical inefficiency effects in a stochastic frontier production function for panel data". Empirical Economics, 20, 325-332. https://doi.org/10.1007/BF01205442 es_ES
dc.description.references Battese, G.E. & Corra, G.S. (1977). "Estimation of a production frontier model: with application to the pastoral zone of eastern Australia". Australian Journal of Agricultural Economics, 21(3), 169-179. https://doi.org/10.1111/j.1467-8489.1977.tb00204.x es_ES
dc.description.references Bervejillo, J.E. (2019). Indicadores de la productividad ganadera. Estadísticas de OPYPA: Ministerio de Ganadería, Agricultura y Pesca. Not published. In person communication. es_ES
dc.description.references Bervejillo, J.E., Mila, F. & Bertamini, F. (2011). "El crecimiento de la productividad agropecuaria 1980-2010". Anuario OPYPA. Montevideo, Uruguay: Ministerio de Ganadería Agricultura y Pesca. Retrieved from: http://www2.mgap.gub.uy/OpypaPublicaciones/ANUARIOS/Anuario2014/pdf/estudios/E%20-%20Bervejillo%20Bertamini%20-%20Cambio%20tecnico%20y%20crecimiento%20dela%20productividad%20total%20del%20sector%20agrop.pdf es_ES
dc.description.references Bravo-Ureta, B.E. & Pinheiro, E. (1993). "Efficiency analysis of developing country agriculture: A review of the frontier function literature". Agricultural and Resource Economics Review, 22(1), 88-101. https://doi.org/10.1017/S1068280500000320 es_ES
dc.description.references Bravo-Ureta, B.E., Solís, D. & Moreira, V.H. (2007). "Technical efficiency in farming: a meta-regression analysis". Journal of Productivity Analysis, 27, 57-72. https://doi.org/10.1007/s11123-006-0025-3 es_ES
dc.description.references Coelli, T. & Perelman, S. (1996). Efficiency Measurement, Multiple-Output Technologies and Distance Functions: With Application to European Railways. Working paper CREPP 96/05, University of Liege. Retrieved from: https://www.researchgate.net/publication/24125205_Efficiency_measurement_multipleoutput_technologiess_and_distance_functions_with_application_to_European_Railways es_ES
dc.description.references Coelli, T.J. (1995). "Estimators and hypothesis tests for a stochastic frontier function: A montecarlo analysis". Journal of Productivity Analysis, 6, 247-268. https://doi.org/10.1007/BF01076978 es_ES
dc.description.references Coelli, T.J. & Battese, G.E. (1996, August). "Identification of factors which influence the technical inefficiency of Indian farmers". Australian Journal of Agricultural Economics, 40(2), 103-128. https://doi.org/10.1111/j.1467-8489.1996.tb00558.x es_ES
dc.description.references Fousekis, P. (2002). "Distance vs. ray functions: An application to the inshore fishery of Greece". Marine Resource Economics, 17(4), 251-267. https://doi.org/10.1086/mre.17.4.42629369 es_ES
dc.description.references Gatti, N., Lema, D. & Brescia, V. (2015). "A meta-frontier approach to measuring technical efficiency and technology gaps in beef cattle production in Argentina". Communication presented to International Conference of Agricultural Economists. Milan, Italy. es_ES
dc.description.references Green, W. (2005a). "Fixed and random effects in stochastic frontier models". Journal of Productivity Analysis, 23, 7-32. https://doi.org/10.1007/s11123-004-8545-1 es_ES
dc.description.references Green, W. (2005b). "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model". Journal of Econometrics, 126(2), 269-303. https://doi.org/10.1016/j.jeconom.2004.05.003 es_ES
dc.description.references Henningsen, A., Belín, M. & Henningsen, G. (2017). New insights into the stochasticray production frontier. Technical Report 01, University of Copenhagen: Department of Food and Resource Economics (IFRO). Retrieved from: https://www.econstor.eu/handle/10419/204405 es_ES
dc.description.references Henningsen, G., Henningsen, A. & Jensen, U. (2015). "A Monte Carlo study on multiple output stochastic frontiers: A comparison of two approaches". Journal of Productivity Analysis, 44, 309-320. https://doi.org/10.1007/s11123-014-0416-9 es_ES
dc.description.references INIA. (2018). Indicadores de productividad. Ficha técnica, 43. Retrieved from: http://www.ainfo.inia.uy/digital/bitstream/item/12103/1/Ficha-tecnica-43-Indicadoresde-productividad.pdf es_ES
dc.description.references Jondrow, J., Konx Lovell, C.A., Materov, I.S. & Schmidt, P. (1982). "On the estimation of technical inefficiency in the stochastic frontier production function model". Journal of Econometrics, 19(2-3), 233-238. https://doi.org/10.1016/0304-4076(82)90004-5 es_ES
dc.description.references Kodde, D.A. & Palm, F.C. (1986). "Wald criteria for jointly testing equality and inequality restrictions". Econometrica, 54(5), 1243-1248. Retrieved from: https://www.jstor.org/stable/1912331?seq=1#metadata_info_tab_contents https://doi.org/10.2307/1912331 es_ES
dc.description.references Kumbhakar, S.C. & Knox Lovell, C.A. (2000). Stochastic frontier analysis. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139174411 es_ES
dc.description.references Kumbhakar, S.C., Line, G. & Hardker, J.B. (2014). "Technical efficiency in competing panel data models: A study of norwegian grain farming". Journal of Productivity Analysis, 41, 321-337. https://doi.org/10.1007/s11123-012-0303-1 es_ES
dc.description.references Löthgren, M. (1997). "Generalized stochastic frontier production models". Economic Letters, 57(3), 255-259. https://doi.org/10.1016/S0165-1765(97)00246-2 es_ES
dc.description.references Löthgren, M. (2000). "Specification and estimation of stochastic multiple-output production and technical inefficiency". Applied Economics, 32(12), 1533-1540. https://doi.org/10.1080/000368400418943 es_ES
dc.description.references Managi, S., Opaluch, J.J., Jin, D. & Grigalunas, T.A. (2006). "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry". Ecological Economics, 60(1), 204-215. https://doi.org/10.1016/j.ecolecon.2005.11.028 es_ES
dc.description.references Meeusen, W. & van den Broeck, J. (1977). "Efficiency estimation from Cobb- Douglas production functions with composed error". International Economic Review, 18(2), 435-444. Retrieved from: https://www.jstor.org/stable2525757?seq=1#metadata_info_tab_contents https://doi.org/10.2307/2525757 es_ES
dc.description.references Niquidet, K. & Nelson, H. (2010). "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach". Journal of Forest Economics, 16(4), 257-267. https://doi.org/10.1016/j.jfe.2010.04.001 es_ES
dc.description.references Oficialdegui, R. (1984). "Carne equivalente: los riesgos de la simplificación". SUL Boletín Técnico, 13, 53-62. Retrieved from: http://www.ainfo.inia.uy/consulta/busca?b=ad&id=28874&biblioteca=vazio&busca=autoria:%22Oficialdegui,%20R.%22&qFacets=autoria:%22Oficialdegui,%20R.%22&sort=&paginacao=t&paginaAtual=1 es_ES
dc.description.references Qushim, B., Gillespie, J. & Nehring, R. (2013). "Scale economies and economic performance in southeastern U.S. cow-calf production". Communication presented to Southern Agricultural Economic Association (SAEA) Annual Meeting, Orlando, Florida. https://dx.doi.org/10.22004/ag.econ.143009 es_ES
dc.description.references Trestini, S. (2006). "Technical efficiency of Italian beef cattle production under a heteroscedastic non-neutral production frontier approach". Communication presented to 10th Joint Conference on Food, Agriculture and the Environment, Duluth, Minnesota. https://dx.doi.org/10.22004/ag.econ.6683 es_ES
dc.description.references Yin, X., Zhu, X., Zhou, H., Li, Z., Wang, A. & Liao, X. (2017) "Technical efficiency of carp polyculture production in Jiangsu, China: A ray stochastic frontier production approach". Aquaculture Research, 48(4), 1629-1637. https://doi.org/10.1111/are.12998 es_ES


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