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Testing Transport Mode Cooperation and Competition Within a Country: A Spatial Econometrics Approach

In: Spatial Econometric Interaction Modelling

Author

Listed:
  • Jorge Díaz-Lanchas

    (Universidad Autónoma de Madrid
    CEPREDE)

  • Nuria Gallego

    (Universidad Autónoma de Madrid)

  • Carlos Llano

    (Universidad Autónoma de Madrid)

  • Tamara Mata

    (Universidad Autónoma de Madrid
    CEPREDE)

Abstract

Trade and transport flows are usually considered synonyms. Consequently, it is standard to identify the origin of a flow with the point of production and the destination with the point of consumption. However, economic and logistical complexity may lead to a number of misrepresentations in the observation of specific dyadic records. Transport mode competition and cooperation, and the “hub-spoke” structures generated by them, may introduce bias in several types of analysis. From the econometric perspective, they can be considered as an additional source for cross-sectional correlation between dyadic flows. The aim of this paper is twofold: first, to analyze transport-mode competition between inter-provincial deliveries within Spain; and, second, to analyze some of these potential biases. To this end, we use a novel dataset with 52 inter-provincial, sector-specific flows occurring via four alternative transport modes. We then feed this dataset into various specifications of a gravity model that incorporates cross-sectional dependence attributable to spatial autocorrelation and hub-spoke structures.

Suggested Citation

  • Jorge Díaz-Lanchas & Nuria Gallego & Carlos Llano & Tamara Mata, 2016. "Testing Transport Mode Cooperation and Competition Within a Country: A Spatial Econometrics Approach," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 317-364, Springer.
  • Handle: RePEc:spr:adspcp:978-3-319-30196-9_14
    DOI: 10.1007/978-3-319-30196-9_14
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    Cited by:

    1. Yilmazkuday, Hakan, 2012. "Understanding interstate trade patterns," Journal of International Economics, Elsevier, vol. 86(1), pages 158-166.

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