The dilemma between own or rented machinery: the case of a modal farm in Northern Alto Paraná-Paraguay
DOI:
https://doi.org/10.18004/investig.agrar.2023.junio.2501723Keywords:
maquinarias agrícolas, análisis económico, finca modalAbstract
In Paraguay, there are few economic and financial studies, of public access, related to agricultural machinery as well as its impact on the results of a farm, which can be characterized as a documentary gap. For this reason, queries, from farmers or any other, such as: is it profitable to have your own machines? or, from what area is it profitable to have your own machines? There are no documented answers whose methodologies can be replicated. Faced with this situation, this work proposed to contribute to reducing the documentary gap on the subject. Its general objective was to determine the effect of the purchase of agricultural machinery (seeder, sprayer, and harvester) on the profitability of an agricultural farm. In order to achieve the indicated objective, a case study was used. An economic analysis of a modal farm in the northern region of Alto Paraná was carried out with the following indicators: gross margin, operating result, net income, capital income, profitability, and liquid profit. Three scenarios were built for the analysis: (i) baseline, (ii) the machinery provides services in the modal farm at cost price and the surplus was sold at market prices to third parties, and (iii) all services (finca modal and third parties) were sold at prices that include a profit margin. It was concluded that the provision of services with its own machines increases the profitability of the farm above the baseline.Downloads
Metrics
References
Banco Central del Paraguay (BCP). (2021). Anexo estadístico del informe económico. Disponible en: https://www.bcp.gov.py/anexo-estadistico-del-informe-economico-i365
Camarena, E., Gracia, C. y Cabrera Sixto, J. (2004). A Mixed Integer Linear Programming Machinery Selection Model for Multifarm Systems. Biosystems Engineering,87(2) 145-154. doi:https://doi.org/10.1016/j.biosystemseng.2003.10.003
Camargo Mascarin, A. é Zylberztajn, D. (2016). Estudo sobre os custos operacionais da colheita mecanizada na escolha dos arranjos institucionais. Custos e @gronegócio on Line, 12(2), 171-190. Disponible es: https://bit.ly/3ChF7J6
Casari, M. y Gorziglia, G. (2014). Margen bruto: ¿concepto precario para la toma de decisiones agropecuarias? Decimoctavas Jornadas "Investigaciones en la Facultad" de Ciencias Económicas y Estadística. Rosario: UNR. Disponible en: https://bit.ly/45MXUJY
Companhia Nacional de Abastecimento (CONAB). (2010). Custos de Produção Agrícola: A metodologia da Conab. Brasilia: CONAB. Disponible en: https://bit.ly/3uemsYI
Edwards, W. (2019). Iowa: Iowa State University Obtenido de https://www.extension.iastate.edu/agdm/crops/html/a3-30.html
Facultad de Ciencias Agrarias. (2020). Costos. Disponible en: http://www.agr.una.py/ecorural/ecorural_costos.php
Garbers, R. y Chen, Y. E. (2013). Costos Operativos de Maquinaria Agrícola (Síntesis Básica para su Cálculo). Buenos Aires: Ministerio de Agricultura, Pesca y Ganadería. Disponible e: https://bit.ly/3suGLR7
García Alcaráz, J. L. y Noriega Morales, S. A. (2008). Evaluación multicriterio y multiatributos de tractores agrícolas: un modelo y caso de estudio. Agricultura técnica en México, 34(4), 397-405.
Ghida Daza, C. (2009). Indicadores económicos para la gestión de empresas agropecuarias. Buenos Aires: INTA. Disponible en: https://bit.ly/3oJs14n
Ghida Daza, C. (2018). Análisis del riesgo del sistema agrícola en dos zonas. Disponible en: https://inta.gob.ar/sites/default/files/inta_mj_analisisriesgo_econ_ecol_18.pdf
Rentabilidad del bono Estados Unidos 10 años. (2021). New York: Investing.com. Disponible en: https://es.investing.com/rates-bonds/u.s.-10-year-bond-yield-historical-data
Martinez, E. (1995). Estrategia y administración agropecuaria. Buenos Aires: Troquel.
Miah, M., Haque, M., Baksh, M. & Hossain, M. (2010). Economic analysis of power tiller operated seeder operations at farm level. Journal of Agricultural Engineering (Bangladesh), 38/AE(1), 19-24. Disponible en: https://bit.ly/45y97hk
Ministerio de Agricultura y Ganadería (MAG). (2018). Costo de producción agrícola. Asunción: MAG. Obtenido de https://bit.ly/3MUTgki
Ministerio de Agricultura y Ganadería (MAG). (2019). Costos de producción agrícola 2019. Asunción: MAG. Obtenido de https://bit.ly/3CO4LFi
Ministerio de Hacienda. (2021). Seguimiento de Bonos Internacionales. Asunción, Paraguay. 2020. Obtenido de https://bit.ly/3u15XPs
Ruiz-Silvera, C., Ávila-Ramírez, M., Alezones-Gómez, J., Romero-Hernández, M. y Tona-Hernández, H. (2018). Efecto de la cosecha mecanizada sobre la calidad del grano de maíz para la recepción y el procesamiento agroindustrial. Revista Tecnología En Marcha, 31(3), 98-109. Obtenido de https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/3902
Van Den Bosch, C. (2011). Indicadores económicos para la gestión de establecimientos agropecuarios con cultivos plurianuales. Bases metodólogicas. Buenos Aires: INTA.
Velasco, R., y González, J. (2015). Costo de operación o uso de maquinaria agrícola: Cómo evaluarlo. I. Conceptos y aspectos metodológicos. Obtenido de https://bit.ly/34UtozM
Wijesinghe, K., Nagahawaththa, G., Radeniya, R. & Priyadarshani, D. (2019). Cost benefit analysis on establishing a machinery hiring-out centre in Sri Lanka. Sri Lanka Journal of Food and Agriculture, 5(2), 33-45. doi:https://doi.org/10.4038/sljfa.v5i2.75
The World Bank. (27 de marzo de 2021). Inflation, consumer prices (annual %) - United States. Disponible en: https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG?locations=US
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Victor Ramón Enciso Cano, Wilma Benítez Morán, Ángel Ramón Peña Cardozo
This work is licensed under a Creative Commons Attribution 4.0 International License.
All content in this journal is under Creative Commons Attribution License.
All content in this journal is under 