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The spatial convergence of knowledge in Portugal

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  • Guerreiro, Gertrudes Saúde
  • Caleiro, António Bento

Abstract

Human resources are an essential element in territorial development. When these are characterized by a high level of training, they also enhance a number of effects in fundamental areas of binomial territorial-social cohesion. In this respect, the existence of higher education institutions throughout the territory allows the spread of human resources' qualification but, by itself, does not guarantee the retention of these resources in different regions. Thus, the objective of this paper is to undertake a spatial analysis of convergence of knowledge through studying the evolution of the percentage of population with higher education in the periods elapsed between the last three censuses in Portugal. Although that percentage has risen appreciably, the convergence is shown to be (very) insignificant.

Suggested Citation

  • Guerreiro, Gertrudes Saúde & Caleiro, António Bento, 2015. "The spatial convergence of knowledge in Portugal," MPRA Paper 64999, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:64999
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    References listed on IDEAS

    as
    1. Yanguang Chen, 2013. "New Approaches for Calculating Moran’s Index of Spatial Autocorrelation," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
    2. Sofia Tano, 2014. "Regional clustering of human capital: school grades and migration of university graduates," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 561-581, March.
    3. Tano, Sofia, 2014. "Regional Clustering of Human Capital - School Grades and Migration of University Graduates," Umeå Economic Studies 879, Umeå University, Department of Economics.
    4. Gertrudes Saúde Guerreiro, 2014. "Regional Income Convergence in Portugal (1991–2002)," Research on Economic Inequality, in: Economic Well-Being and Inequality: Papers from the Fifth ECINEQ Meeting, volume 22, pages 351-381, Emerald Group Publishing Limited.
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    Cited by:

    1. Caleiro, António, 2018. "On how can higher education institutions contribute, or not, to the success, or not, of public policies of social cohesion," MPRA Paper 89804, University Library of Munich, Germany.

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    More about this item

    Keywords

    Census; Convergence Analysis; Higher Education; Spatial Econometrics;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • 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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