A Vector Error Correction Model to Estimate Potato Supply Response in Colombia
The present study aims to investigate the relationship between potato output supply and potato and fertilizer prices in Colombia using 2003-2018 time series data. Johansen’s cointegration and the vector error correction framework were employed, and Granger and diagnostic tests were performed. The em...
| Autores principales: | , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Español |
| Publicado: |
Corporación colombiana de investigación agropecuaria - AGROSAVIA
2024
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12324/38861 https://doi.org/10.21930/rcta.vol23_num2_art:2518 |
| id |
RepoAGROSAVIA38861 |
|---|---|
| record_format |
dspace |
| institution |
Corporación Colombiana de Investigación Agropecuaria |
| collection |
Repositorio AGROSAVIA |
| language |
Español |
| topic |
Economía de la producción - E16 Solanum tuberosum Oferta y demanda Precios Errores Raíces y tubérculos http://aims.fao.org/aos/agrovoc/c_7221 http://aims.fao.org/aos/agrovoc/c_7524 http://aims.fao.org/aos/agrovoc/c_6178 http://aims.fao.org/aos/agrovoc/c_02516980 |
| spellingShingle |
Economía de la producción - E16 Solanum tuberosum Oferta y demanda Precios Errores Raíces y tubérculos http://aims.fao.org/aos/agrovoc/c_7221 http://aims.fao.org/aos/agrovoc/c_7524 http://aims.fao.org/aos/agrovoc/c_6178 http://aims.fao.org/aos/agrovoc/c_02516980 Cancino Escalante, Giovanni Orlando Elsa Cancino, Susan Cancino Ricketts, Daniel Francisco A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| description |
The present study aims to investigate the relationship between potato output supply and potato and fertilizer prices in Colombia using 2003-2018 time series data. Johansen’s cointegration and the vector error correction framework were employed, and Granger and diagnostic tests were performed. The empirical results show a strong causal relationship between the variables and that the signs and the magnitude of coefficients are statistically significant. Potato and fertilizer prices are inelastic, and the speed adjustment coefficient of 70 % implies that it takes a short time for farmers to respond to price movements. It can be concluded that own-price and fertilizer prices are significant in determining output supply responsiveness in both the short and long run. |
| format |
Artículo |
| author |
Cancino Escalante, Giovanni Orlando Elsa Cancino, Susan Cancino Ricketts, Daniel Francisco |
| author_facet |
Cancino Escalante, Giovanni Orlando Elsa Cancino, Susan Cancino Ricketts, Daniel Francisco |
| author_sort |
Cancino Escalante, Giovanni Orlando |
| title |
A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| title_short |
A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| title_full |
A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| title_fullStr |
A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| title_full_unstemmed |
A Vector Error Correction Model to Estimate Potato Supply Response in Colombia |
| title_sort |
vector error correction model to estimate potato supply response in colombia |
| publisher |
Corporación colombiana de investigación agropecuaria - AGROSAVIA |
| publishDate |
2024 |
| url |
http://hdl.handle.net/20.500.12324/38861 https://doi.org/10.21930/rcta.vol23_num2_art:2518 |
| work_keys_str_mv |
AT cancinoescalantegiovanniorlando avectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia AT elsacancinosusan avectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia AT cancinorickettsdanielfrancisco avectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia AT cancinoescalantegiovanniorlando unmodelodecorrecciondeerroresvectorialesparaestimarlarespuestadelaofertadepapaencolombia AT elsacancinosusan unmodelodecorrecciondeerroresvectorialesparaestimarlarespuestadelaofertadepapaencolombia AT cancinorickettsdanielfrancisco unmodelodecorrecciondeerroresvectorialesparaestimarlarespuestadelaofertadepapaencolombia AT cancinoescalantegiovanniorlando vectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia AT elsacancinosusan vectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia AT cancinorickettsdanielfrancisco vectorerrorcorrectionmodeltoestimatepotatosupplyresponseincolombia |
| _version_ |
1808108248799117312 |
| spelling |
RepoAGROSAVIA388612024-02-02T03:01:40Z A Vector Error Correction Model to Estimate Potato Supply Response in Colombia Un modelo de corrección de errores vectoriales para estimar la respuesta de la oferta de papa en Colombia Cancino Escalante, Giovanni Orlando Elsa Cancino, Susan Cancino Ricketts, Daniel Francisco Economía de la producción - E16 Solanum tuberosum Oferta y demanda Precios Errores Raíces y tubérculos http://aims.fao.org/aos/agrovoc/c_7221 http://aims.fao.org/aos/agrovoc/c_7524 http://aims.fao.org/aos/agrovoc/c_6178 http://aims.fao.org/aos/agrovoc/c_02516980 The present study aims to investigate the relationship between potato output supply and potato and fertilizer prices in Colombia using 2003-2018 time series data. Johansen’s cointegration and the vector error correction framework were employed, and Granger and diagnostic tests were performed. The empirical results show a strong causal relationship between the variables and that the signs and the magnitude of coefficients are statistically significant. Potato and fertilizer prices are inelastic, and the speed adjustment coefficient of 70 % implies that it takes a short time for farmers to respond to price movements. It can be concluded that own-price and fertilizer prices are significant in determining output supply responsiveness in both the short and long run. Papa-Solanum tuberosum 2024-02-01T16:00:44Z 2024-02-01T16:00:44Z 2022-05-15 2022 Artículo científico http://purl.org/coar/version/c_970fb48d4fbd8a85 2500-5308 http://hdl.handle.net/20.500.12324/38861 https://doi.org/10.21930/rcta.vol23_num2_art:2518 reponame:Biblioteca Digital Agropecuaria de Colombia instname:Corporación colombiana de investigación agropecuaria AGROSAVIA spa Ciencia y Tecnología Agropecuaria 23 2 1 13 Agronet. (2020). Potato statistical data. https://www.agronet.gov.co/estadistica/Paginas/home.aspx Arnade, C., & Kelch, D. (2007). Estimation of area elasticities from a standard profit function. American Journal of Agricultural Economics, 89(3), 727-737. https://doi.org/10.1111/j.1467-8276.2007.01004.x Askari, H., & Cummings, J. (1977). Estimating agricultural supply response with the Nerlove model: A survey. Economic Review, 18(2), 257-292. https://doi.org/10.2307/2525749 Dickey, D., & Fuller, W. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427-431. https://doi.org/10.2307/2286348 Dlamini, D. (2018). Supply response of potato to price and non-price factors in Swaziland. Archives of Business Research, 6(10), 78-85. https://doi.org/10.14738/abr.610.5248 Engle, R., & Granger, C. (1987). Cointegration and error correction: representation, estimation and testing. Econometrica, 2(55), 251-276. https://doi.org/10.2307/1913236 Federación Colombiana de Productores de Papa (Fedepapa). (2020). Informe trimestral de coyuntura económica del subsector papa III trimestre - 2020. https://fedepapa.com/wp-content/uploads/2021/09/BOLETIN-ECONOMICO-N%C2%B013.pdf Food and Agriculture Organization of the United Nations Statistics Division (FAOSTAT). (2020). Statistical data. http://www.fao.org/faostat/es/#data/QC Henneberry, S., & Tweeten, L. (1991). A review of international agricultural supply response. Journal of International Food and Agribusiness Marketing, 2(3-4), 49-95. https://doi.org/10.1300/J047v02n03_02 Huq, A., & Arshad, F. (2010). Supply response of potato in Bangladesh: A vector error correction approach. Journal of Applied Sciences, 10(11), 895-902. https://dx.doi.org/10.3923/jas.2010.895.902 Khan, S., Faisal, M., Haq, Z., Ghaffar, F., Khan, A., & Khan, I. (2018). 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 Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis (1st ed.). https://link.springer.com/book/10.1007/978-3-540-27752-1#toc Mose, L., Burger, K., & Kuvyenhoven, A. (2007). Aggregate supply response to price incentives: the case of smallholder maize production in Kenya. African Crop Science, 8, 1271-1275. Obayelu, A., & Ebute, S. (2016). Assessment of cassava supply response in Nigeria using vector error correction model (VECM). Agricultura, 13(1-2), 79-86. https://doi.org/10.1515/agricultura-2017-0010 Osorio, I. Gutiérrez, P., & Marín, M. (2012) Revisión: Spongospora subterranea f.sp. subterranea y su virus asociado Potato Mop-Top Virus (PMTV), dos patógenos reemergentes en los cultivos de papa de Colombia. Revista Facultad Nacional de Agronomía - Medellín, 65(1), 6361-6378. Pekmeczci, A., & Dilek, M. (2014). The comparison of performances of widely used cointegration tests. Simulation and Computation, 46(5), 2070-2080. https://doi.org/10.1080/03610918.2014.889157 Shahzad, M., Jan, A., 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 Soontaranurak, K. & Dawson, P. (2015). Rubber acreage supply response in Thailand: A cointegration approach. The Journal of Developing Areas, 49(2) 23-38 https://doi.org/10.1353/jda.2015.0009 Tripathi, A., & Prasad, A. (2009). Estimation of agricultural supply response by cointegration approach. The Indian Economic Journal, 57(1), 106-131. https://doi.org/10.1177%2F0019466220090106 Zhang, H., Xu, F., Wu, Y., Hu, H., & Dai, X. (2017). Progress of potato staple food research and industry development in China. Journal of Integrative Agriculture, 16(12), 2924-2932. https://doi.org/10.1016/S2095-3119(17)61736-2 Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf application/pdf Colombia Corporación colombiana de investigación agropecuaria - AGROSAVIA Mosquera (Colombia) Ciencia y Tecnología Agropecuaria; Vol 23, Núm.2 (2022): Ciencia y Tecnología Agropecuaria; p. 1-13. |