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Como se pode distinguir Évora do resto do Alentejo?: Uma abordagem de estatística espacial
[How can Évora be distinguished from the rest of Alentejo: A spatial statistics approach]


  • Caleiro, António


Évora (county and above all, the city) is often cited as a case of success in terms of regional development, as it stands out in terms of social, economic, and demographic indicators from the rest of the region where it is located, i.e. the Alentejo (Portugal). This fact makes it relevant: (i) to measure the 'distance', in terms of those indicators, between the municipality of Évora and the municipalities of the rest of Alentejo, and (ii) to detect the occurrence of spatial clusters in order to verify to what extent is positioned in advantage in relation to its neighboring counties, its NUT III (Alentejo Central) and its NUT II (Alentejo). In methodological terms, those two tasks are performed in the paper through the use of spatial statistical techniques, including multidimensional scaling and determination of local indicators of spatial association. These techniques, by their simplicity and easiness of application, can be readily used in other cases, which can be seen as a pedagogical purpose intrinsic to this work.

Suggested Citation

  • Caleiro, António, 2010. "Como se pode distinguir Évora do resto do Alentejo?: Uma abordagem de estatística espacial
    [How can Évora be distinguished from the rest of Alentejo: A spatial statistics approach]
    ," MPRA Paper 22057, University Library of Munich, Germany, revised 12 Apr 2010.
  • Handle: RePEc:pra:mprapa:22057

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    References listed on IDEAS

    1. Roberto Ezcurra & Pedro Pascual & Manuel Rapun, 2006. "Regional Specialization in the European Union," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 601-616.
    2. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
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    Cited by:

    1. Conceição Rego & António Caleiro, 2010. "O ?Mercado? do Ensino Superior em Portugal: um diagnóstico da situação actual," Economics Working Papers 4_2010, University of Évora, Department of Economics (Portugal).

    More about this item


    Évora; Local indicators of spatial association; Multidimensional scaling; Portugal; Spatial autocorrelation; Spatial clusters.;

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models


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