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Regional Trade and Logistics Infrastructure: A Spatial Approach

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  • Luisa Alamá Sabater

    ()

  • Laura Marquez Ramos
  • Celestino Suarez Burguet

Abstract

This paper aims to analyze whether the existing logistics platforms network in Spain affects Spanish transport demand by using a spatial framework. In particular, we use demand for transport to export goods to other Spanish provinces as a proxy for logistics infrastructure demand in Spain. Then, we obtain data for trade flows between provinces (NUTS3) in the year 2007. We also obtain data about the number and area of logistics platforms existing in each Spanish province to proxy for the transportation network structure in Spain. In a first step, we construct weight matrixes considering first-order contiguity and we obtain that spatial dependence is significant in a spatial econometric model of commodity flows (LeSage and Polasek, 2008). Secondly, we incorporate logistics network structure dependence into the model so that the spatial lags measure the impact and significance on trade flows from all origins to all destinations by considering the importance of logistics performance in the neighboring provinces. Finally, we perform the analysis for different economic activities. The results obtained provide evidence about the role of the location of logistics platforms for satisfying existing demand for transport structure in the Spanish provinces.

Suggested Citation

  • Luisa Alamá Sabater & Laura Marquez Ramos & Celestino Suarez Burguet, 2011. "Regional Trade and Logistics Infrastructure: A Spatial Approach," ERSA conference papers ersa11p1737, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa11p1737
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    References listed on IDEAS

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    1. Alejandro Micco & Tomas Serebrisky, 2004. "Infrastructure, Competition Regimes and Air Transport Costs: Cross Country Evidence," Research Department Publications 4369, Inter-American Development Bank, Research Department.
    2. James Paul Lesage & Wolfgang Polasek, 2008. "Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 225-245.
    3. Clark, Ximena & Dollar, David & Micco, Alejandro, 2004. "Port efficiency, maritime transport costs, and bilateral trade," Journal of Development Economics, Elsevier, vol. 75(2), pages 417-450, December.
    4. Alan Deardorff, 1998. "Determinants of Bilateral Trade: Does Gravity Work in a Neoclassical World?," NBER Chapters,in: The Regionalization of the World Economy, pages 7-32 National Bureau of Economic Research, Inc.
    5. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin-Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967.
    6. John S. Wilson & Catherine L. Mann & Tsunehiro Otsuki, 2005. "Assessing The Potential Benefit Of Trade Facilitation: A Global Perspective," World Scientific Book Chapters,in: Quantitative Methods For Assessing The Effects Of Non-Tariff Measures And Trade Facilitation, chapter 8, pages 121-160 World Scientific Publishing Co. Pte. Ltd..
    7. Limao, Nuno & Venables, Anthony J., 1999. "Infrastructure, geographical disadvantage, and transport costs," Policy Research Working Paper Series 2257, The World Bank.
    8. Laura Márquez-Ramos & Inmaculada Martínez-Zarzoso & Eva Pérez-García & Gordon Wilmsmeier, 2011. "“Special Issue on Latin-American Research” Maritime Networks, Services Structure and Maritime Trade," Networks and Spatial Economics, Springer, vol. 11(3), pages 555-576, September.
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