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Market Potential and the curse of distance in European regions

Author

Listed:
  • Bruna, Fernando
  • Faíña, Andrés
  • Lopez-Rodriguez, Jesus

Abstract

In the context of the New Economic Geography (NEG) wage equation, the ‘curse of distance’ is the tendency of peripheral regions to have lower income because of being far from the main markets, as captured by a variable Market Potential. This pattern is consistent with the core-periphery spatial distribution of the European regional economic activity. Nevertheless, during the last decades, the European Union has been implemented active transport and regional policies, which should mitigate the consequences of peripherality. This paper analyzes the changes of the cross-sectional effects of Market Potential on the European regional income per capita during the sample period 1995-2008. The paper finds evidence that the cross-sectional elasticity of per capita income to Market Po-tential has been decreasing over the sample period. However, some results are sensitive to changes in the specification of the wage equation or the estimation method.

Suggested Citation

  • Bruna, Fernando & Faíña, Andrés & Lopez-Rodriguez, Jesus, 2014. "Market Potential and the curse of distance in European regions," MPRA Paper 56747, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:56747
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    File URL: https://mpra.ub.uni-muenchen.de/56747/7/MPRA_paper_56746.pdf
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    References listed on IDEAS

    as
    1. Gert-Jan M. Linders & Martijn J. Burger & Frank G. van Oort, 2008. "A rather empty world: the many faces of distance and the persistent resistance to international trade," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 439-458.
    2. Head, Keith & Mayer, Thierry, 2006. "Regional wage and employment responses to market potential in the EU," Regional Science and Urban Economics, Elsevier, vol. 36(5), pages 573-594, September.
    3. Yotov, Yoto V., 2012. "A simple solution to the distance puzzle in international trade," Economics Letters, Elsevier, vol. 117(3), pages 794-798.
    4. Redding, Stephen & Schott, Peter K., 2003. "Distance, skill deepening and development: will peripheral countries ever get rich?," Journal of Development Economics, Elsevier, vol. 72(2), pages 515-541, December.
    5. Honaker, James & King, Gary & Blackwell, Matthew, 2011. "Amelia II: A Program for Missing Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i07).
    6. Andrés Rodríguez-Pose, 2011. "Economists as geographers and geographers as something else: on the changing conception of distance in geography and economics," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 347-356, March.
    7. Redding, Stephen & Venables, Anthony J., 2004. "Economic geography and international inequality," Journal of International Economics, Elsevier, vol. 62(1), pages 53-82, January.
    8. Fernando Bruna & Jesus Lopez-Rodriguez & Andrés Faíña, 2016. "Market Potential, Spatial Dependences and Spillovers in European Regions," Regional Studies, Taylor & Francis Journals, vol. 50(9), pages 1551-1563, September.
    9. Paul Krugman, 1992. "A Dynamic Spatial Model," NBER Working Papers 4219, National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Christoph Hammer & Aurélien Fichet de Clairfontaine, 2016. "Trade Costs and Income in European Regions," Department of Economics Working Papers wuwp220, Vienna University of Economics and Business, Department of Economics.
    2. Bogdan COPCEA & Dan VILCEANU & Sorin TRIFU, 2014. "Agglomeration and Economic Growth. A New Economic Geography approach for Romania's Counties," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 1(1), pages 77-84, December.
    3. Fernando BRUNA & Isabel NEIRA & Marta PORTELA, 2019. "Horizontal And Vertical Contexts On Europeans’ Well-Being," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 19(2), pages 37-56.

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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