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Integración espacial en el mercado de la guayaba pera en el Valle del Cauca

Author

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  • Julio César Alonso Cifuentes
  • María Fernanda Bonilla López

Abstract

Por medio de los datos de frecuencia semanal de los precios mayoristas de la guayaba pera durante el período 2012-2015, este estudio explora la integración espacial del mercado de esta fruta tropical en el departamento del Valle del Cauca, Colombia. Mediante el empleo de las pruebas de raíces unitarias se encuentra que las series de los precios son I(1). Asimismo, con la prueba de cointegración de Johansen se determina que los cuatro mercados estudiados en el Valle del Cauca se encuentran integrados espacialmente. Además, se encuentra que Cali es el mercado líder. This paper explores the spatial integration of the guava market in Valle del Cauca (Colombian department). We use weekly wholesale prices for the period between 2012 and 2015. Using unit root tests, we found that all prices are I(1). Johansen’s cointegration tests allow us to conclude that the four markets being studied are spatially integrated. We also find that Cali is the most important market.

Suggested Citation

  • Julio César Alonso Cifuentes & María Fernanda Bonilla López, 2018. "Integración espacial en el mercado de la guayaba pera en el Valle del Cauca," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(74), pages 471-494, July.
    • Handle: RePEc:col:000093:017000
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    References listed on IDEAS

    as
    1. Julio César Alonso & Ana Isabel Gallego, 2010. "Integración espacial del mercado de la carne en las tres principales ciudades de Colombia: Evidencia de las series de precios," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 4(2), pages 5-28, December.
    2. Beag, F.A. & Singla, N., 2014. "Cointegration, Causality and Impulse Response Analysis in Major Apple Markets of India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(2).
    3. Jacobo Campo Robledo & Sebastián Cubillos Fonseca, 2012. "Convergencia de precios en Colombia: integración de mercados a través del Índice de Precios al Consumidor," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 4(2), pages 103-112, December.
    4. Julio Cesar Alonso & Vanesa Montoya, 2006. "INTEGRACIÓN ESPACIAL DEL MERCADO DE LA PAPA EN EL VALLE DEL CAUCA: Dos aproximaciones diferentes, una misma conclusión," Borradores de Economía y Finanzas 2897, Universidad Icesi.
    5. K. O. Adenegan & I.B. Adeoye & I. Ibidapo, 2012. "Spatial Price Analysis Of Tomatoes In Nigeria," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(2), pages 31-38.
    6. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
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    Cited by:

    1. Sadán de la Cruz Almanza, 2021. "Integración espacial de mercados lácteos y su efecto sobre la agroindustria en el departamento del Atlántico," Documentos Departamento de Economía 20753, Universidad del Norte.
    2. Margarita Gáfaro & Jair N. Ojeda-Joya & Andrea Paola Poveda-Olarte, 2020. "Abastecimiento y costos de transacción en los mercados de alimentos de las principales ciudades de Colombia," Borradores de Economia 1128, Banco de la Republica de Colombia.

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    More about this item

    Keywords

    integración espacial; guayaba; Colombia;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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