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Relationship Between Spatial Price Transmission And Geographical Distance In Brazil

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  • Hernandez-Villafuerte, Karla Vanessa
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    Abstract

    The price transmission between markets is often interpreted as providing insights into the market’s infrastructure efficiency and transaction costs. Thus, finding a possible explanation for the degree of integration has become an issue of special interest. Recent researchers have pointed out the distance between markets as one of the possible factors. However, the distance is closely related with other elements, such as road quality and the proximity to an export point, which affect transport costs, opportunity costs and thus the integration. Therefore, what the most important factor is when determining the relationship among markets remains unclear. The cointegration framework, OLS and principal component regressions are applied in order to investigate the influence of geographical distance on the cointegration relationship between Brazil`s rice markets. In response to changes of the agricultural policies during the period of investigation, the presence of multiple structural breaks in the long run equation is allowed. The results point out a weak, negative and significant relation between distance and the elasticity of cointegration. Moreover, the region in which the market is located and a better access to export points are the main variables which defined the strength of the price transmission.

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    Bibliographic Info

    Paper provided by European Association of Agricultural Economists in its series 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland with number 114545.

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    Date of creation: 2011
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    Handle: RePEc:ags:eaae11:114545

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    Keywords: cointegration; price transmission; geographical distance; structural breaks; principal component regression; rice; Brazil; Demand and Price Analysis;

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    1. Thomas Gries & Wim Naudé & Marianne Matthee, 2009. "The Optimal Distance To Port For Exporting Firms," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 513-528.
    2. Allan w. Gregory & Bruce E. Hansen, 1992. "residual-Based Tests for Cointegration in Models with Regime Shifts," Working Papers 862, Queen's University, Department of Economics.
    3. Javier Escobal & Arturo Vásquez, 2005. "Market integration for agricultural output markets in Peru: the role of public infrastructure," Urban/Regional 0507003, EconWPA.
    4. Sanogo, Issa, 2008. "SPATIAL integration of the rice market: emprirical evidence from mid-west and far-west Nepal and the Nepalese-Indian border," MPRA Paper 14488, University Library of Munich, Germany.
    5. Mohitosh Kejriwal & Pierre Perron, 2006. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Boston University - Department of Economics - Working Papers Series WP2006-051, Boston University - Department of Economics.
    6. Gloria Gonz�lez-Rivera & Steven M. Helfand, 2001. "The Extent, Pattern, and Degree of Market Integration: A Multivariate Approach for the Brazilian Rice Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 576-592.
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