IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v173y2024i1d10.1007_s11205-021-02836-y.html
   My bibliography  Save this article

Measuring Competitiveness at NUTS3 Level and Territorial Partitioning of the Italian Provinces

Author

Listed:
  • Pierpaolo D’Urso

    (Sapienza University of Rome)

  • Livia De Giovanni

    (Luiss university and Data Lab Luiss)

  • Francesca G. M. Sica

    (Confindustria and Data Lab Luiss)

  • Vincenzina Vitale

    (Sapienza University of Rome)

Abstract

In this paper we propose a dashboard of indicators of territorial attractiveness at NUTS3 level in the framework of the EU Regional Competitiveness Index (RCI). Then, the Fuzzy C-Medoids Clustering model with multivariate data and contiguity constraints is applied for partitioning the Italian provinces (NUTS3). The novelty is the territorial level analized, and the identification of the elementary indicators at the basis of the construction of the eleven composite competitiveness pillars. The positioning of the Italian provinces is deeply analyzed. The clusters obtained with and without contraints are compared. The obtained partition may play an important role in the design of policies at the NUTS3 level, a route already considered by the Italian government. The analysis developed and the related set of indicators at NUTS3 level constitute an information base that could be effectively used for the implementation of the National Recovery and Resilience Plan (NRRP).

Suggested Citation

  • Pierpaolo D’Urso & Livia De Giovanni & Francesca G. M. Sica & Vincenzina Vitale, 2024. "Measuring Competitiveness at NUTS3 Level and Territorial Partitioning of the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(1), pages 9-51, May.
    • Handle: RePEc:spr:soinre:v:173:y:2024:i:1:d:10.1007_s11205-021-02836-y
    DOI: 10.1007/s11205-021-02836-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-021-02836-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-021-02836-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andrés Rodríguez-Pose & Riccardo Crescenzi, 2008. "Mountains in a flat world: why proximity still matters for the location of economic activity," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 371-388.
    2. Heungsun Hwang & Wayne Desarbo & Yoshio Takane, 2007. "Fuzzy Clusterwise Generalized Structured Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 181-198, June.
    3. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    4. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    5. Ma, Tao & Hong, Tao & Zhang, Haozhe, 2015. "Tourism spatial spillover effects and urban economic growth," Journal of Business Research, Elsevier, vol. 68(1), pages 74-80.
    6. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    7. 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.
    8. Renato Coppi & Pierpaolo D’Urso & Paolo Giordani, 2010. "A Fuzzy Clustering Model for Multivariate Spatial Time Series," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 54-88, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Min & Rodríguez-Pose, Andrés, 2024. "Government reform and innovation performance in China," LSE Research Online Documents on Economics 122728, London School of Economics and Political Science, LSE Library.
    2. Mila Freire & Mario Polèse & Pamela Echeverria, 2003. "Connecting Cities with Macroeconomic Concerns : The Missing Link," World Bank Publications - Books, The World Bank Group, number 15058, August.
    3. 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.
    4. Amelia U. Santos-Paulino & Mariagrazia Squicciarini & Peilei Fan, 2008. "R&D (Re)location: A Bird's Eye (Re)view," WIDER Working Paper Series RP2008-100, World Institute for Development Economic Research (UNU-WIDER).
    5. Gary A. Wagner & Jamie Bologna Pavlik, 2020. "Patent intensity and concentration: The effect of institutional quality on MSA patent activity," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 857-898, August.
    6. Camilla Lenzi & Giovanni Perucca, 2020. "The nexus between innovation and wellbeing across the EU space: What role for urbanisation?," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 323-349, February.
    7. Hu, Xiaotian & Yin, Xiaopeng, 2022. "Do stronger intellectual property rights protections raise productivity within the context of trade liberalization? Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
    8. Paul A. Coomes & Jose Fernandez & Stephan F. Gohmann, 2013. "The Rate of Proprietorship Among Metropolitan Areas: The Impact of the Local Economic Environment and Capital Resources," Entrepreneurship Theory and Practice, , vol. 37(4), pages 745-770, July.
    9. Christ, Julian P., 2009. "The geography and co-location of European technology-specific co-inventorship networks," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 31/2010, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    10. Kong, Dongmin & Zhu, Ling & Yang, Zhiqing, 2020. "Effects of foreign investors on energy firms' innovation: Evidence from a natural experiment in China," Energy Economics, Elsevier, vol. 92(C).
    11. Andrés Rodríguez-Pose & Marco Di Cataldo, 2015. "Quality of government and innovative performance in the regions of Europe," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 673-706.
    12. Sun, Yajie & Liao, Wen-Chi, 2021. "Resource-Exhausted City Transition to continue industrial development," China Economic Review, Elsevier, vol. 67(C).
    13. Silvia Emili & Federica Galli, 2023. "Spatial and cross-sectoral input spillover effects: the case of the Italian tourism industry," Journal of Productivity Analysis, Springer, vol. 59(3), pages 243-258, June.
    14. Zhang, Liangliang & Huang, Shoujun, 2022. "Social capital and regional innovation efficiency: The moderating effect of governance quality," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 343-359.
    15. Argentino Pessoa, 2014. "Smart Specialisation in the EU: Is it a Bridge between Innovation and Cohesion?," ERSA conference papers ersa14p989, European Regional Science Association.
    16. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    17. B. Lafuente-Rego & P. D’Urso & J. A. Vilar, 2020. "Robust fuzzy clustering based on quantile autocovariances," Statistical Papers, Springer, vol. 61(6), pages 2393-2448, December.
    18. Christ, Julian P., 2009. "New Economic Geography reloaded: Localized knowledge spillovers and the geography of innovation," FZID Discussion Papers 01-2009, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    19. Alaimo, Leonardo Salvatore & Nigri, Andrea, 2024. "The gender gap in life expectancy and lifespan disparity as social risk indicators for international countries: A fuzzy clustering approach," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    20. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:173:y:2024:i:1:d:10.1007_s11205-021-02836-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.