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Are health factors important for regional growth and convergence? An empirical analysis for the Portuguese districts

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  • Ana Poças

    (Polytechnic Institute of Guarda and UDI)

  • Elias Soukiazis

    ()
    (Faculdade de Economia/GEMF, Universidade de Coimbra)

Abstract

The aim of this study is to analyze the impact of health factors on economic growth and convergence across the Portuguese regions at the district level. Like education, health factors could be important for explaining the growth performance of regions through the increase in labour productivity. Therefore, human capital can be seen in a broader perspective encompassing not only educational qualifications but also health conditions. Although this is not a new idea, empirical evidence at a regional level is not robust supporting this issue, with few exceptions. With this study we try to fill this gap and bring additional evidence of the relevance of health on regional growth considering the Portuguese districts. We employ a panel data approach for the period 1996-2006 taking into account specific regional differences. We also analyze whether there are differences between the littoral (coastal) and the interior (in-land) districts in what concerns health conditions and how they affect their convergence process.

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Bibliographic Info

Paper provided by GEMF - Faculdade de Economia, Universidade de Coimbra in its series GEMF Working Papers with number 2011-14.

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Length: 29 pages
Date of creation: Aug 2011
Date of revision:
Publication status: Published in International Journal of Public Policy 9(1/2): 44-64, 2013.
Handle: RePEc:gmf:wpaper:2011-14

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Keywords: : Regional growth; health and human capital; panel data.;

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  11. Oliveira, Monica Duarte & Bevan, Gwyn, 2003. "Measuring geographic inequities in the Portuguese health care system: an estimation of hospital care needs," Health Policy, Elsevier, Elsevier, vol. 66(3), pages 277-293, December.
  12. Rivera, Berta & Currais, Luis, 2004. "Public Health Capital and Productivity in the Spanish Regions: A Dynamic Panel Data Model," World Development, Elsevier, Elsevier, vol. 32(5), pages 871-885, May.
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