Estimation of peach supply response in Colombia using a Vector Error Correction Model
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.7243Keywords:
Vector error correction model;, Johansen´s co-integration, Peach output suppl, Long-term equilibriumAbstract
An empirical study of peach supply response to own-price and yield in Colombia using time series data from 2000 to 2018 was undertaken. A quantitative, correlational and non-experimental research design was selected and the Johansen´s co-integration as well as the vector error correction framework were employed. The Augmented Dickey-Fuller test showed that the time series were integrated of order one and the Johansen´s co-integration confirmed the existence of a long-term relationship between the variables. Moreover, the short and long run coefficients for own-price and yield were statistically significant and presented the expected signs, however, estimated own-price elasticity was below unit suggesting it is not an important factor in peach supply response. Furthermore, the vector error correction coefficient (-0.32) was negative and in line with theory, which showed that in the long-run, the model converges towards equilibrium, however at a relatively slow pace. Therefore, it can be concluded that, overall, the proposed model contributes to the understanding of the dynamics in peach output supply.
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ADY, Peter. Trends in cocoa production. In: Bulletin of the Oxford University Institute of Economics & Statistics. 1949. Vol. 11 No. 12, pp. 389-404. https://doi.org/10.1111/j.1468-0084.1949.mp11012003.x
AGRONET. Peach production, prices and yield statistical data. Colombian Ministry of Agriculture. 2020. https://www.agronet.gov.co/estadistica/Paginas/home.aspx?cod=1
AKAIKE, Hirotugu. Canonical correlations analysis of time series and the use of an information criterion. In: Mathematics in Science and Engineering. 1976. Vol. 26, pp. 27-96. https://doi.org/10.1016/S0076-5392(08)60869-3
ARAK, Marcelle. The price responsiveness of Sao Paulo coffee growers. Food Research Institute Studies. 1968. Vol. 8 No. 3, pp. 211–223 https://ideas.repec.org/a/ags/frisst/134980.html
BATEMAN, Merrill. Aggregate and regional supply functions for Ghanaian cocoa, 1946–1963. In: Journal of Farm Economics. 1965. Vol. 47 No. 2, pp. 384–401. https://www.jstor.org/stable/1236584
BEHRMAN, Jere. Monopolistic Cocoa Pricing. In: American Journal of Agricultural Economics. 1968., Vol. 50 No. 30, pp.702-719. https://www.jstor.org/stable/1238269
DEVADOS, Steohen; LUCKSTEAD, Jeff. An analysis of apple supply response. In: International Journal of Production Economics. 2010. Vol. 124 No. 1, pp.256-271. https://doi.org/10.1016/j.ijpe.2009.11.024
DICKEY, David; FULLER, Wayne. Distribution of the estimators for autoregressive time series with a unit root. In: Journal of the American Statistical Association. 1979. Vol. 74 No. 366, pp.427-431. https://www.jstor.org/stable/2286348
ENGLE, Robert; CLIVE, Granger. Co-integration and error correction: representation, estimation and testing. In: Econometrica. 1987. Vol. 2 No. 55, pp.251-276. https://www.jstor.org/stable/1913236
FRENCH, Ben; MATTHEWS, Jim. A supply response model for perennial crops. In: American Journal of Agricultural Economics. 1971. Vol. 53 No. 3, pp.478–490. https://www.jstor.org/stable/1238225
FOOD AND AGRICULTURE ORGANIZATION. Crops Data. 2020 http://www.fao.org/faostat/es/#data/QC
GRANGER, Clive. Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 1969. Vol. 37, No. 3, pp. 424-438. https://www.jstor.org/stable/1912791
JOHANSEN, Soren. Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. In: Econometrica. 1991. Vol. 59 No. 6, pp. 551–1580. https://www.jstor.org/stable/2938278
JOHANSEN, Soren; JUSELIUS Katarina. Maximum likelihood estimation and inference on cointegration — with applications to the demand for money. In: Oxford Bulletin of Economics and statistics 1990. Vol. 52 No. 2, pp 169-210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
LAAJIMI Abderraouf; GUESMI, Anis; MAHFOUDHI, Ayadi; DHEHIBI, Boubaker. Analyzing supply response of fruit tree products in Tunisia: The case of peaches. In: Agricultural Economics Review, Greek Association of Agricultural Economists. 2009. Vol. 9 No. 1, pp.1-11. https://doi.org/10.22004/ag.econ.93801
LÜTKEPOHL, Helmut. 2005. New Introduction to Multiple Time Series Analysis. Germany: Springer, 2005. 747p. https://www.springer.com/gp/book/9783540401728
MANKIW, Gregory. Principle of microeconomics, Ohio: Cengage Learning, 2009. 519p
MESIKE, Chinye; OKOH, Rosemary; INONI, Odjuvwuederhie. Supply response of rubber farmers in Nigeria: An application of vector error correction model. In: Agricultural Journal 2010. Vol. 5 No. 3, pp.146-150. http://dx.doi.org/10.3923/aj.2010.146.150
MOSE, Lawrence; BURGER, Kees; KUVYENHOVEN, Arie. Aggregate supply response to price incentives: the case of smallholder maize production in Kenya. In: African Crop Science. 2007. Vol. 8, pp.1271-1275. https://www.researchgate.net/publication/228433230_Aggregate_Supply_Response_to_Price_Incentives_The_Case_of_Smallholder_Maize_Production_in_Kenya
MUSTAFA, Ghulam; LATIF, Ismail; EGWUMA, Henry. An Empirical Analysis of Supply Response of Rubber in Malaysia American. In: Journal of Agricultural and Biological Sciences. 2016. Vol. 12 No. 4, pp. 148.156 https://doi.org/10.3844/AJABSSP.2016.148.156
NERLOVE, Marc. Distributed lags and estimation of long-run supply and demand elasticities: Theoretical considerations. In: Agricultural & Applied Economics Association. 1958. Vol. 40 No. 2, pp. 301-311. https://doi.org/10.2307/1234920
NICHOLSON, Walter; SNYDER, Christopher. Microeconomic theory basic principles and extensions. Ohio: Thomson, 2008. 763p. https://edisciplinas.usp.br/pluginfile.php/2871502/mod_resource/content/1/Nicholson%20%20Snyder%20%282007%29%20-%20Microeconomic%20theory%20-%2010%20ed..pdf
OBAYELU, Adeola; EBUTE, Samuel. Assessment of cassava supply response in Nigeria using vector error correction model (VECM). In: Agricultura. 2016. Vol. 13 No 1-2, pp. 79-86. https://doi.org/10.1515/agricultura-2017-0010
SHAHZAD, Muhammad; JAN, Abbas; ALI, Shahid; ULLAH, Raza. 2018. Supply response analysis of tobacco growers in Khyber Pakhtunkhwa: an ARDL approach. In: Field Crops Research. 2018. Vol. 218 No. 1, pp. 195-200. https://doi.org/10.1016/j.fcr.2018.01.004
SIMS, Christopher. Macroeconomics and Reality. In: Econometrica. 1980. Vol. 48 No.1, pp. 1–48. https://doi.org/10.2307/1912017
SOONTARANURAK, Kittikorn; DAWSON, Philip. Rubber acreage supply response in Thailand: A cointegration approach. In: The Journal of Developing Areas. 2015. Vol.49 No.2, pp. 23-38 http://doi.org/10.1353/jda.2015.0009
TRIPATHI, Armanath; PRASAD, Anubhuti. Estimation of agricultural supply response by cointegration approach. In: The Indian Economic Journal. 2017. Vol. 57 No. 1, pp.106-131. https://doi.org/10.1177%2F0019466220090106
VARIAN, Hal. Intermediate Microeconomics: A Modern Approach. New York: Norton and company, 2014. 825p. https://fac.ksu.edu.sa/sites/default/files/microeco-_varian.pdf
VILLAMIZAR, Cesar; FERNÁNDEZ, Deisy. Caracterización de los productores de durazno (prunus pérsica (L) batsch) en las provincias de Pamplona y Ricaurte, Norte de Santander. In: Revista Ambiente, Agua, Aire y Suelo. 2015. Vol. 6 No. 1, pp. 1-8. http://revistas.unipamplona.edu.co/ojs_viceinves/index.php/RA/article/view/3226
WANI, Mustafa; HUMA, Sehar; RANJIT, Paul; ISHFAQ, Hussain. Supply response of horticultural crops: The case of apple and pear in Jammu & Kashimir. In: Agricultural Economics Research Review. 2015. Vol. 28 No. 1, pp. 83-89. https://doi.org/10.5958/0974-0279.2015.00006.3
XU, Chen; SHENGXIONG Wang; ZHIJIAN Zhou; WEI Sun. A model for analysis of supply reaction to price applied to grapes in China. In: International Conference on Systems and Informatics. 2012. pp. 2559-2562. https://doi.org/10.1109/ICSAI.2012.6223576
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