Elasticity in the Behavior of the Producer, According to the Supply of Rice in Peru
DOI:
https://doi.org/10.37467/revtechno.v15.5066Keywords:
Paddy rice, Nerlovian model, Short-term elasticity, Long-term elasticity, Harvested area, Behavior, ProducerAbstract
The elasticity of supply is important for decision-making in the behavior of paddy rice producers. In this sense, the objective of this study is to estimate the short-term and long-term supply elasticity for paddy rice in Peru, using the Nerlove model, and considering the harvested area of paddy rice as a dependent variable. The results show that the elasticity of supply of paddy rice in the short term is inelastic (0.203866), and in the long term it is also inelastic (0.335631), in addition, the adjustment coefficient of the producers is 0.607412.
References
Askari, H., Cummings, J. T. (1977). Estimating Agricultural Supply Response with the Nerlove Model: A Survey. International Economic Review, 18(2), 257-292. https://scholar.google.com/citations?user=imsTYdoAAAAJ&hl=en
Boansi, D. (2014). Yield response of rice in Nigeria: A co-integration analysis. American Journal of Agriculture and Forestry, 2(2), 15-24. http://doi.org/10.11648/j.ajaf.20140202.11
Briceño, F., Rojas, A., Coydán, I. (2005). Políticas de Precios en Chile: El caso de los Cereales. Panorama Socioeconómico, (31), 58-70. http://www.panorama.utalca.cl/dentro/2005-dic/articulo5%5B1%5D.pdf
Cancino, S., Escalante, G. O. C, Ricketts, D. F. C. (2020). Estimación de una función de costos del arroz para la región de los Santanderes, Colombia. Custos e Agronegocio, 16(3), 523-538. http://www.custoseagronegocioonline.com.br/cinquenta%20e%20sete.html
Cancino Escalante, G. O., Cansino, S. E., Cancino Ricketts, D. F. (2022). A vector error correction model to estimate potato supply response in Colombia. Ciencia y Tecnología Agropecuaria, 23(2), e2518. https://doi.org/10.21930/rcta.vol23_num2_art:2518
Dickey, D. A., Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427-431. https://www.researchgate.net/publication/243644934_Distribution_of_the_Estimators_for_Autoregressive_Time_Series_With_a_Unit_Root
Gujarati, D. N., Porter, D. C. (2010). Econometría. (Quinta edición). McGraw-Hill/Interamericana Editores.
Khan, S. U., Faisal, M. A., Ul Haq, Z., Fahad, S., Ali, G., Khan, A. A., Khan, I. (2019). Supply response of rice using time series data: Lessons from Khyber Pakhtunkhwa Province, Pakistan. Journal of the Saudi Society of Agricultural Sciences, 18(4), 458-461. https://doi.org/10.1016/j.jssas.2018.03.001
MacKinnon, J. G. (1996). Numerical Distribution Functions for Unit Root and Cointegration Tests. Journal of Applied Econometrics, 11(6), 601-618. https://doi.org/10.1002/(SICI)1099-1255(199611)11:6%3C601::AID-JAE417%3E3.0.CO;2-T
Nerlove, M. (1956). Estimates of the Elasticities of Supply of Selected Agricultural Commodities. American Journal of Agricultural Economics, 38(2), 496-509. https://doi.org/10.2307/1234389
Parkin, M. (2018). Economía. (Decimosegunda edición). Pearson Educación de México.
Perú. Banco Central de Reserva. (2019). Cuadro de equivalencias. https://www.bcrp.gob.pe/billetes-y-monedas/unidades-monetarias/tabla-de-equivalencias.html
Perú. Instituto Nacional de Estadística e Informática. (2019a). Encuesta nacional Agropecuaria 2018. Principales resultados pequeñas, medianas y grandes unidades agropecuarias 2014-2018. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1697/libro.pdf
Perú. Instituto Nacional de Estadística e Informática. (2019b). Panorama de la Economía Peruana 1950-2018 Año Base 2007. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1654/libro.pdf
Perú. Ministerio de Desarrollo Agrario y Riego. (2020). Marco orientador de cultivos. Campaña agrícola 2020-2021. https://cdn.www.gob.pe/uploads/document/file/1113474/Anexo_-_Marco_Orientador_de_Cultivos.pdf
Perú. Ministerio de Desarrollo Agrario y Riego. (2019a). Sistema Integrado de Estadísticas Agrarias (SIEA). Serie de Estadísticas de Producción Agrícola (SEPA). https://siea.midagri.gob.pe/portal/sistemas-informacion
Perú. Ministerio de Desarrollo Agrario y Riego. (2019b). Anuario Estadístico de la Producción Agrícola 2018. https://siea.midagri.gob.pe/portal/phocadownload/datos_estadisticas/anuarios/agricola/agricola_2018.pdf
Pindyck, R. S., & Rubinfeld, D. L. (2013). Microeconomía. (Octava edición). Pearson Educación.
Prasada, I. Y., Dhamira, A., & Nugroho, A. D. (2018). Supply Response of Paddy in East Java: Policy Implications to Increase Rice Production. AGRARIS: Journal of Agribusiness and Rural Develpoment Research, 4(2), 129-138. https://journal.umy.ac.id/index.php/ag/article/view/4555
Quintero Peña, J. W., López Naranjo, H. A. (2011). Respuesta de la oferta de arroz en Colombia 1994-2008. Revista Mundo Económico y Empresarial, (10), 60-72. http://revistas.ut.edu.co/index.php/rmee/article/view/580
Quispe-Mamani, E., Quispe, W., Turpo-Gebera, O. (2023). Recentralization, intergovernmental conflicts and territorial inequality: perspective of local governments in Peru. Brazilian Journal of Public Administration, 57(2). https://doi.org/10.1590/0034-761220220245
Ramírez Gómez, M., Martínez Covaleda, H. J., Ortiz, L. X., González, F. A., & Barrios, C. A. (2004). Respuestas de la oferta y la demanda agrícola en el marco de un TLC con Estados Unidos. Observatorio Agrocadenas Colombia, (49), 1-61. https://repositorio.iica.int/handle/11324/7570
Ramírez Suárez, A., Castillo Tamayo, S. T. (1986). Estimación de elasticidades precio de oferta mediante modelos de ajuste parcial. Revista ICA, 21(2), 92-101. https://repository.agrosavia.co/handle/20.500.12324/15451
Shahzad, M., Jan, A. U., Ali, S., Ullah, R. (2018). Supply response analysis of tobacco growers in Khyber Pakhtunkhwa: An ARDL approach. Field Crops Research, 218, 195-200. https://doi.org/10.1016/j.fcr.2018.01.004
Shende, N. V., Valvi, I. U., & Shende, P. V. (2017). Growth dynamics and acreage response of paddy in Eastern Vidarbha zone of Maharashtra. International Research Journal of Agricultural Economics and Statistics, 8(1), 121-129. https://doi.org/10.15740/HAS/IRJAES/8.1/121-129
Tanko, M., & Alidu, A. F. (2016). Supply Response of Domestic Rice and Price Risk in Northern Ghana. American International Journal of Social Science, 5(4), 107-115. https://www.aijssnet.com/journal/index/463
Tenaye, A. (2020). New Evidence Using a Dynamic Panel Data Approach: Cereal Supply Response in Smallholder Agriculture in Ethiopia. Economies Open Access, 8(3). https://doi.org/10.3390/economies8030061
Umar, H. S., Abdullah, A. M., Shamsudin, M. N., Mohamed, Z. A. (2015). Welfare Implication of Paddy Price Support Withdrawal from Malaysian Rice Sector: Partial Equilibrium Method Approach. Agricultura Tropica Et Subtropica, 48(3-4), 45-52. https://doi.org/10.1515/ats-2015-0007
Vikas, Manocha, V., Goyal, S. K. (2018). Estimation of Acreage Response of Major Crops in Haryana using Co-integration Approach. International Journal of Current Microbiology and Applied Sciences, 7(3), 2890-2903. http://doi.org/10.20546/ijcmas.2018.703.334
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Carlos Pedro Vera-Ninacondor, Gregorio Nicolas Cusihuamán-Sisa, Javier Guido Alarcón-Condori , Carlos Ilich Aguilar-Del-Carpio
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
All articles are published under an Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) license. Authors retain copyright over their work.
