Economic risk in the production of Angus and Hereford beef in La Posta, Chihuahua, Mexico
DOI:
https://doi.org/10.15517/am.v31i3.40289Keywords:
maximum monetary utility, resource productivity, bioeconomy, econometricsAbstract
Introduction. Risk preference is the situation in which an agricultural producer decides to invest money and there is a probability of obtaining benefits from those desired. Objective. To evaluate risk preference and utility of intensive Angus and Hereford beef production in Rancho Teseachic, La Posta, Chihuahua, Mexico through monetary utility. Materials and methods. The experiment was conducted from March 24th to August 11th 2017. 52 cattle were evaluated and fed for a period of 141 days with rolled corn (53,3 %) and distillers’ grain (37,8 %). The animals were divided into two lots: one with 32 Angus heads with 226.28±28.69 kg of initial live weight and the other with 20 Hereford heads with 191.58±24.23 kg of initial live weight. An econometric model was adjusted, using Ordinary Minimums Squares, to determine the absolute and relative risk preference of the monetary utility in cattle fattening. Results. At the end of the period, the weight was 371.7±43.96 kg for Angus and 320.9±37.99 for Hereford. The production model indicated an optimum live weight at slaughter of 375.5 kg for Angus and 321.5 kg for Hereford. Conclusion. The producer rejected the risk-free preference to the risky preference. Meat production with Angus calves showed a lower risk preference (20 %) than Hereford calves (44 %) and therefore less utility.
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Barham, B.L., J.P. Chavas, D. Fitz, V. Ríos, and L. Schechter. 2014. The roles of risk and ambiguity in technology adoption. J. Econ. Behav. Organization 97:204-218. doi:10.1016/j.jebo.2013.06.014 DOI: https://doi.org/10.1016/j.jebo.2013.06.014
Belasco, E.J., M.R. Taylor, B.K. Goodwin, and T.C. Schroeder. 2009. Probabilistic models of yield, price, and revenue risks for fed cattle production. J. Agric. Appl. Econ. 41:91-105. doi:10.1017/S1074070800002571 DOI: https://doi.org/10.1017/S1074070800002571
Berk, J.B., and J. Walden. 2013. Limited capital market participation and human capital risk. Rev. Asset Pricing Stud. 3(1):1-37. doi:10.1093/rapstu/rat003 DOI: https://doi.org/10.1093/rapstu/rat003
Cienfuegos-Rivas, E.G., M.A.R. D-Orúe-Ríos, M. Briones-Luengo, y J.C. Martínez-González. 2006. Estimación del comportamiento productivo y parámetros genéticos de características predestete en bovinos de carne (Bos taurus) y sus cruzas, VIII Región, Chile. Arch. Med. Vet. 38:69-75. doi:10.4067/S0301-732X2006000100010 DOI: https://doi.org/10.4067/S0301-732X2006000100010
García-Muñiz, J.G., E.G. Martínez-González, R. Núñez-Domínguez, R. Ramírez-Valverde, R. López-Ordaz, y A. Ruiz-Flores. 2008. Comparación de ecuaciones para ajustar curvas de lactancia en bovinos. Rev. Cient. FCV-LUZ 18(2):160-169.
Guerrero, S.C., y O.O. Melo. 2017. Una metodología para el tratamiento de la multicolinealidad a través del escalamiento multidimensional. Cienc. Desarrollo 8(2):9-24. DOI: https://doi.org/10.19053/01217488.v8.n2.2017.5239
Gustavsson, J., C. Cederberg, U. Sonesson, R. Van-Otterdijk, and A. Meybeck. 2011. Global food losses and food waste. FAO, Rome, ITA.
Hardaker, J.B., J.W. Richardson, G. Lien, and K.D. Schumann. 2004. Stochastic efficiency analysis with risk aversion bounds: a simplified approach. Aust. J. Agric. Res. Econ. 48:2:253-270. doi:10.1111/j.1467-8489.2004.00239.x DOI: https://doi.org/10.1111/j.1467-8489.2004.00239.x
Hernández, J., S. Rebollar, F.J. González, E. Guzmán, B. Albarrán, y A. García. 2011. La cadena productiva de ganado bovino en el sur del Estado de México. Rev. Mex. Agroneg. 29:672-680.
Hidalgo, C., M.P. Rodríguez, y R. Álvarez. 2012. El efecto de las subvenciones en la ganadería española: un análisis mediante un modelo de frontera estocástica. Pecvnia 14(ene-jun):93-106. doi:10.18002/pec.v0i14.594 DOI: https://doi.org/10.18002/pec.v0i14.594
INEGI (Instituto Nacional de Geografía Estadística e Informática). 2017. Índice nacional de precios al consumidor. INEGI, Ciudad de México, MEX. https://www.inegi.org.mx/programas/inpc/2018/ (consultado 06 nov. 2019).
Iracheta-Lara, I.Z., E. Iglesias-Martínez, G. Méndez-Zamora, M.E. Esparza-Vela, y E. Santellano-Estrada. 2017. Modelado de riesgos para el sistema vaca-cría del estado de Chihuahua utilizando indicadores socioeconómicos y ambientales. Rev. Mex. Cien. Pecu. 8:193-200. doi:10.22319/rmcp.v8i2.4443 DOI: https://doi.org/10.22319/rmcp.v8i2.4443
Jarvis, L.S. 1974. Cattle as capital goods and ranchers as portfolio managers: an application to the Argentine cattle sector. J. Political Econ. 82:489-520. doi:10.1086/260209 DOI: https://doi.org/10.1086/260209
Lambert, D.K., and B.A. McCarl. 1989. Sequential modeling of white wheat marketing strategies. Appl. Econ. Perspect. Policy 11:105-115. doi:10.1093/aepp/11.1.105 DOI: https://doi.org/10.1093/aepp/11.1.105
Lee, C.F., J.E. Finnerty, and H.Y. Chen. 2010. Risk-aversion, capital asset allocation, and markowitz portfolio-selection model. In: C.F. Lee et al., editors, Handbook of quantitative finance and risk management. Springer, Boston, MA, USA. p. 69-92. doi:10.1007/978-0-387-77117-5_5 DOI: https://doi.org/10.1007/978-0-387-77117-5_5
Lefebvre, M., and F.M. Vieider. 2014. Risk taking of executives under different incentive contracts: experimental evidence. J. Econ. Behav. Organizat. 97:27-36. doi:10.1016/j.jebo.2013.10.008 DOI: https://doi.org/10.1016/j.jebo.2013.10.008
Levy, H. 1969. A utility function depending on the first three moments. J. Finance 24:715-719. doi:10.1111/j.1540-6261.1969.tb00395.x DOI: https://doi.org/10.1111/j.1540-6261.1969.tb00395.x
Mballa, L.V., y A.Y. Sauceda. 2018. Análisis del hambre en el estado de Zacatecas bajo el modelo de Mínimos Cuadrados Ordinarios. Econ. Soc. Territorio XVIII(57):487-523. doi:10.22136/est01164 DOI: https://doi.org/10.22136/est01164
Morales-Hernández, J.L., F. J. González-Razo, y J. Hernández-Martínez. 2018. Función de producción de la ganadería de carne en la zona sur del Estado de México. Rev. Mex. Cien. Pecu. 9:1-13. doi.org/10.22319/rmcp.v9i1.4345 DOI: https://doi.org/10.22319/rmcp.v9i1.4345
Noussair, C.N., S.T. Trautmann, and G. Kuilen. 2014. Higher order risk attitudes, demographics, and financial decisions. Rev. Econ. Stud. 81:325-355. doi:10.1093/restud/rdt032 DOI: https://doi.org/10.1093/restud/rdt032
OECD (Organization for Economic Co-operation and Development). 2009. Managing risk in agriculture: a holistic approach. OECD Publishing, Paris, FRA. doi:10.1787/9789264075313-1-en DOI: https://doi.org/10.1787/9789264075313-1-en
Posadas, R., S. Rebollar, J. Hernández, F.J. González, A. Rebollar, y E. Guzmán 2011. Niveles de optimización económica en bovinos engordados en corral. En A.M. Arras-Vota, y O.A. Hernández-Rodríguez, editores, Administración, agrotecnología y redes de conocimiento. Pearson, MEX. p. 55-62.
Ramaswami, B. 1992. Production risk and optimal input decisions. Am. J. Agric. Econ. 74:860-869. doi:10.2307/1243183 DOI: https://doi.org/10.2307/1243183
Ramírez, J.I., A. Rebollar, S. Rebollar, B. Jaramillo, y F.J. González. 2017. Estudio de viabilidad económica para una engorda de bovinos en corral en el sur del estado de México. Rev. Mex. Agroneg. 41:742-753.
Richardson, J.W., and J.L. Outlaw. 2008. Ranking risky alternatives: innovations in subjective utility analysis. In: C.A. Brebbia, and E. Beriatos, editors, Risk analysis VI, WIT Transactions on Information and Communication Technologies series, Vol 39. Wit Press, GBR. p. 213-224. doi:10.2495/RISK080231 DOI: https://doi.org/10.2495/RISK080231
Schroeder, T.C., O.C. Grunewald, S.A. Langemeier, and D.M. Allen. 1989. An analysis of live cattle option hedging strategies. Agribusiness 5(2):153-168. DOI: https://doi.org/10.1002/1520-6297(198903)5:2<153::AID-AGR2720050207>3.0.CO;2-Q
Segura-Correa, V., y A. Castellanos-Ruelas. 1999. Efecto de la suplementación fosforada sobre la utilidad de peso de bovinos en pastoreo en Yucatán, México. Vet. Méx. 30(3):257-261.
Shankar, S. 2012. Production economics in the presence of risk. Aust. J. Agric. Res. Econ. 56:597-620. doi:10.1111/j.1467-8489.2012.00600.x DOI: https://doi.org/10.1111/j.1467-8489.2012.00600.x
SNIIM (Sistema Nacional de Información e Integración de Mercados). 2017. Precio promedio ponderado de la leche. SNIIM, Ciudad de México, MEX. http://www.economia-sniim.gob.mx/2010prueba/PecComparativo.asp?var=Bov (consultado 4 nov. 2019).
Wold, S., A. Ruhe, H. Wold, and W.J. Dunn. 1984. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses. J. Sci. Stat. Comp. 5:735-743. doi:10.1137/0905052 DOI: https://doi.org/10.1137/0905052
Wooldridge, J. 2010. Introducción a la econometría: un enfoque moderno. Cengage Learning Editores, Ciudad de México, MEX.
Zhang, R., T.J. Brennan, and A.W. Lo. 2014. The origin of risk aversion. PNAS 111:17777-17782. doi:10.1073/pnas.1406755111 DOI: https://doi.org/10.1073/pnas.1406755111
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