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Differences in intra-regional development in Portugal? A multivariate approach

Author

Listed:
  • Maria Conceição Rego

    (Departamento de Economia, Escola de Ciências Sociais, Centro de Estudos e Formação Avançada em Gestão e Economia, Universidade de Évora)

  • Isabel Joaquina Ramos

    (Departamento de Paisagem, Ambiente e Ordenamento, Escola de Ciências e Tecnologia, Centro de Estudos de Sociologia da Universidade Nova de Lisboa, Universidade de Évora)

  • Maria Manuela Oliveira

    (Departamento de Matemática, Escola de Ciências e Tecnologia, Centro de Investigação em Matemática e Aplicações, Universidade de Évora)

  • Maria Raquel Lucas

    (Departamento de Gestão, Escola de Ciências Sociais, Centro de Estudos e Formação Avançada em Gestão e Economia, Universidade de Évora)

  • Maria da Saudade Baltazar

    (Departamento de Sociologia, Escola de Ciências Sociais, Centro de Estudos de Sociologia da Universidade Nova de Lisboa, Universidade de Évora)

Abstract

In Portugal the distribution of population and economic activity is strongly asymmetrical, creating significant differences in development. Traditionally, a distinction is made, among others (e.g. north-south), between coastal and inland areas - the first is young, urban, dynamic and economically vibrant, while the second is aged, rural, declined and economically depressed. However, a more detailed analysis reveals that several inland and coastal areas are similar in their levels of development when considering their territorial capital, meaning economic, social and environmental capital. Based on this assumption, this study aims to analyse the differences of development in Portuguese regions from a different perspective. The objective is to identify homogeneous areas, by differentiating and measuring the differences between areas more and less developed, be it in the coast or inland. The analysis of relevant variables will be made at the NUTS III level, with data from the last Portuguese CENSUS (2011). The statistical analysis is primarily based on descriptive statistics followed by multivariate data analysis (cluster analysis, principal components analysis and discriminant analysis). The results obtained allow us to conclude that there is a large difference in terms of development levels recorded in the Portuguese regions and also that there are groups of regions with common characteristics that go beyond the classic north-south or coastal-inland distinctions. Metropolitan areas and regions more export oriented are clearly distinguishable from the rest of the country. Furthermore, the indicators typically associated with urban dimensions are those who reveal more differences across the country.

Suggested Citation

  • Maria Conceição Rego & Isabel Joaquina Ramos & Maria Manuela Oliveira & Maria Raquel Lucas & Maria da Saudade Baltazar, 2014. "Differences in intra-regional development in Portugal? A multivariate approach," CEFAGE-UE Working Papers 2014_18, University of Evora, CEFAGE-UE (Portugal).
  • Handle: RePEc:cfe:wpcefa:2014_18
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    Cited by:

    1. M. Conceição Rego & Conceição Freire & Isabel Ramos & Andreia Dionísio & M. Saudade Baltazar & M. Raquel Lucas, 2017. "Urban-Rural Connections and Development Perspectives In Portugal," CEFAGE-UE Working Papers 2017_04, University of Evora, CEFAGE-UE (Portugal).

    More about this item

    Keywords

    Multivariate approach; Portugal; Regional Development; Territorial asymmetry.;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • 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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