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Agglomeration and interregional mobility of labor in Portugal

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  • Martinho, Vítor João Pereira Domingues

Abstract

The aim of this paper is to analyze the relationship between inter-industry, intra-industry and inter-regional clustering and demand for labor by companies in Portugal. Is expected at the outset that there is more demand for work where the agglomeration is greater. It should be noted, as a summary conclusion, the results are consistent with the theoretical developments of the New Economic Geography, namely the demand for labor is greater where firms are better able to cluster that is where transport costs are lower and where there is a strong links "backward and forward" and strong economies of agglomeration.

Suggested Citation

  • Martinho, Vítor João Pereira Domingues, 2011. "Agglomeration and interregional mobility of labor in Portugal," MPRA Paper 32203, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:32203
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    References listed on IDEAS

    as
    1. Martinho, Vítor João Pereira Domingues, 2010. "Entrepreneurship: what´s happening?," MPRA Paper 32213, University Library of Munich, Germany.
    2. Martinho, Vítor João Pereira Domingues, 2011. "Agglomeration and interregional mobility of labor in Portugal," MPRA Paper 32203, University Library of Munich, Germany.
    3. Martinho, Vítor João Pereira Domingues, 2010. "Entrepreneurship: some considerations," MPRA Paper 32214, University Library of Munich, Germany.
    4. Hanson, Gordon H., 1998. "Regional adjustment to trade liberalization," Regional Science and Urban Economics, Elsevier, vol. 28(4), pages 419-444, July.
    5. Krugman, Paul & Elizondo, Raul Livas, 1996. "Trade policy and the Third World metropolis," Journal of Development Economics, Elsevier, vol. 49(1), pages 137-150, April.
    6. Guy Dumais & Glenn Ellison & Edward L. Glaeser, 2002. "Geographic Concentration As A Dynamic Process," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 193-204, May.
    7. Paul Krugman & Anthony J. Venables, 1995. "Globalization and the Inequality of Nations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 857-880.
    8. Venables, Anthony J, 1996. "Equilibrium Locations of Vertically Linked Industries," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 341-359, May.
    9. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    10. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Effects and Convergence Theory in the Portuguese Situation," Papers 1110.5571, arXiv.org.
    11. repec:hhs:iuiwop:430 is not listed on IDEAS
    12. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Effects and Verdoorn Law in the Portuguese Context," Papers 1110.5573, arXiv.org.
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    Cited by:

    1. Martinho, Vítor João Pereira Domingues, 2011. "Agglomeration and interregional mobility of labor in Portugal," MPRA Paper 32203, University Library of Munich, Germany.
    2. Martinho, Vítor João Pereira Domingues, 2011. "What said the new economic geography about Portugal? An alternative approach," MPRA Paper 32795, University Library of Munich, Germany.

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    More about this item

    Keywords

    agglomeration; Portuguese regions; labor; interregional mobility;
    All these keywords.

    JEL classification:

    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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