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Opening the Interregional Trade ‘‘Black Box’’: The C-Intereg Database for the Spanish Economy (1995—2005)

Author

Listed:
  • Carlos Llano

    (Economic Analysis Department and L. R. Klein Institute-CEPREDE, Facultad de CC.EE y EE, Universidad Autonoma de Madrid, Madrid, Spain, carlos.llano@uam.es)

  • Almudena Esteban

    (L. R. Klein Institute and CEPREDE, Madrid, Spain)

  • Julian Pérez

    (Applied Economics Department, L. R. Klein Institute and CEPREDE, Facultad de CC.EE y EE, Universidad Autonoma de Madrid, Madrid, Spain)

  • Antonio Pulido

    (Applied Economics Department, L. R. Klein Institute and CEPREDE, Facultad de CC.EE y EE, Universidad Autonoma de Madrid, Madrid, Spain)

Abstract

Recent literature on border effect has demonstrated that national trade (intra- as well as interregional trade) tends to be more intense than international trade. Unfortunately, owing to the dearth of information on interregional economic relations, this important aspect of the economy has remained relatively ignored. In this article, the authors have described the methodology and main results of the largest estimation of Spanish interregional trade (1995—2005) carried out as a part of the C-Intereg project. The results obtained highlight the importance of the internal trade and the validity of the gravity model. Although the estimation focuses on the Spanish economy, the methodology can easily be applied to other European Union (EU) countries. In the upcoming years, this innovative database will be further developed in all its dimensions (space, time, and sectors) to serve as a promising framework for the application of different techniques such as spatial interaction models or interregional input—output approaches.

Suggested Citation

  • Carlos Llano & Almudena Esteban & Julian Pérez & Antonio Pulido, 2010. "Opening the Interregional Trade ‘‘Black Box’’: The C-Intereg Database for the Spanish Economy (1995—2005)," International Regional Science Review, , vol. 33(3), pages 302-337, July.
    • Handle: RePEc:sae:inrsre:v:33:y:2010:i:3:p:302-337
    DOI: 10.1177/0160017610370701
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    References listed on IDEAS

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    Cited by:

    1. Maroto, Andrés & Zofío, José Luis, 2016. "Accessibility gains and road transport infrastructure in Spain: A productivity approach based on the Malmquist index," Journal of Transport Geography, Elsevier, vol. 52(C), pages 143-152.
    2. Zofío, Jose L. & Condeço-Melhorado, Ana M. & Maroto-Sánchez, Andrés & Gutiérrez, Javier, 2014. "Generalized transport costs and index numbers: A geographical analysis of economic and infrastructure fundamentals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 141-157.
    3. Moura, Ticiana Grecco Zanon & Garcia-Alonso, Lorena & del Rosal, Ignacio, 2018. "Influence of the geographical pattern of foreign trade on the inland distribution of maritime traffic," Journal of Transport Geography, Elsevier, vol. 72(C), pages 191-200.
    4. Jorge Díaz-Lanchas & José Luis Zofío & Carlos Llano, 2022. "A trade hierarchy of cities based on transport cost thresholds," Regional Studies, Taylor & Francis Journals, vol. 56(8), pages 1359-1376, August.
    5. Llano, C. & De la Mata, T. & Díaz-Lanchas, J. & Gallego, N., 2017. "Transport-mode competition in intra-national trade: An empirical investigation for the Spanish case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 334-355.
    6. Luisa Alam᭓abater & Laura M uez-Ramos & Jos頍iguel Navarro-Azor󸀍 & Celestino Su z-Burguet, 2015. "A two-methodology comparison study of a spatial gravity model in the context of interregional trade flows," Applied Economics, Taylor & Francis Journals, vol. 47(14), pages 1481-1493, March.
    7. Pelayo Arbués & José F. Baños, 2016. "A dynamic approach to road freight flows modeling in Spain," Transportation, Springer, vol. 43(3), pages 549-564, May.
    8. James LeSage & Carlos Llano-Verduras, 2014. "Forecasting spatially dependent origin and destination commodity flows," Empirical Economics, Springer, vol. 47(4), pages 1543-1562, December.

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