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Attrattività e competitività dei territori italiani - I risultati: le dimensioni dell’attrattività territoriale

Author

Listed:
  • Livia De Giovanni

    (Università LUISS Guido Carli-Dipartimento di Scienze Politiche e CeFOP, Rome)

  • Francesca G.M.Sica

    (Confindustria-IE (Innovazione e Education) - e LUISS-CeFOP, Dipartimento di Scienze Politiche, Rome.)

Abstract

Territorial attractiveness, both productive and residential, is hereby dealt with as a latent multidimensional variable. Being unobservable, it cannot consequently be directly measured. Its multidimensional feature implies that every aspect or pillar constituting it (institutions; infrastructures; health; basic education; higher education; labour market efficiency; market size; technological readiness; business sophistication; innovation) is, in its turn, unobservable and not traceable since it is an aggregation of elementary variables itself, which are on the contrary observable and measurable. In order to lessen the multidimensionality and condensate the latent phenomenon of attractiveness in only one number, Principal Components Analysis has been applied. However, this synthesis does not hinder analysis, i.e. the possibility to go backward up to the basic indicators, with the aim of fathoming the positioning of each territorial unit, region or province, compared to the national average.

Suggested Citation

  • Livia De Giovanni & Francesca G.M.Sica, 2014. "Attrattività e competitività dei territori italiani - I risultati: le dimensioni dell’attrattività territoriale," Rivista di Politica Economica, SIPI Spa, issue 4, pages 115-234, Oct.-Dec..
    • Handle: RePEc:rpo:ripoec:y:2014:i:4:p:115-234
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    Citations

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    Cited by:

    1. Pierpaolo D’Urso & Livia De Giovanni & Riccardo Massari & Francesca G. M. Sica, 2019. "Cross Sectional and Longitudinal Fuzzy Clustering of the NUTS and Positioning of the Italian Regions with Respect to the Regional Competitiveness Index (RCI) Indicators with Contiguity Constraints," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 609-650, December.

    More about this item

    Keywords

    territorial attractiveness; regional development policy; basic pillars; composite indicators; Principal Components Analysis;
    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
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • P5 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - 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)
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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