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Measuring Competitiveness: A Composite Indicator for Italian Municipalities

Author

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  • Anna Scaccabarozzi

    (University of Bergamo)

  • Matteo Mazziotta
  • Annamaria Bianchi

    (University of Bergamo)

Abstract

This study measures territorial competitiveness at the municipal level in Italy, by proposing a robust composite indicator based on variables not yet used in the literature. The underlying theoretical framework is identified based on the literature on regional competitiveness. The proposed indicator consists of the following seven dimensions of competitiveness: Education, Job, Economic Wellbeing, Territory and Environment, Entrepreneurship, Innovation, and Infrastructures and Mobility. Data are retrieved mainly from administrative sources, for 2014 and 2015. In the building process, three aggregation methods are compared: a compensatory method, the arithmetic mean, and two partially compensatory methods, the geometric mean and the Adjusted Mazziotta-Pareto Index (AMPI). The arithmetic mean turns out to be the most robust method among the three considered, but the AMPI is the most robust method among the two partially compensatory methods. All the methods considered agree in identifying Innovation and Entrepreneurship as the most influential pillars in 2014 and 2015, respectively. The detailed geographical focus provides specific insights into territorial competitiveness in Italy. It emerges a rather heterogeneous picture of municipal competitiveness within the Italian regions. Highly competitive municipalities are present in every region, though with different concentration levels.

Suggested Citation

  • Anna Scaccabarozzi & Matteo Mazziotta & Annamaria Bianchi, 2024. "Measuring Competitiveness: A Composite Indicator for Italian Municipalities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(1), pages 53-82, May.
    • Handle: RePEc:spr:soinre:v:173:y:2024:i:1:d:10.1007_s11205-022-02990-x
    DOI: 10.1007/s11205-022-02990-x
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    References listed on IDEAS

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    1. Leonardo S. Alaimo & Filomena Maggino, 2020. "Sustainable Development Goals Indicators at Territorial Level: Conceptual and Methodological Issues—The Italian Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 383-419, January.
    2. Filomena Maggino & Marco Fattore & Alberto Arcagni, 2015. "Exploiting Ordinal Data for Subjective Well-Being Evaluation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(3), pages 409-428, September.
    3. Kurek, Katarzyna A. & Heijman, Wim & van Ophem, Johan & Gędek, Stanisław & Strojny, Jacek, 2020. "The impact of geothermal resources on the competitiveness of municipalities: evidence from Poland," Renewable Energy, Elsevier, vol. 151(C), pages 1230-1239.
    4. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    5. Leonardo Salvatore Alaimo & Andrea Ciacci & Enrico Ivaldi, 2021. "Measuring Sustainable Development by Non-aggregative Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 101-122, August.
    6. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    7. Marco Fattore & Filomena Maggino & Alberto Arcagni, 2015. "Exploiting Ordinal Data For Subjective Well-Being Evaluation," Statistics in Transition New Series, Polish Statistical Association, vol. 16(3), pages 409-428, September.
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