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A composite indicator to measure regional investment policies on R&D and innovation

  • Sergio Salamone
  • Alessandro Faramondi
  • Stefania Della Queva

The aim of this work is to illustrate the application of a tool to monitor regional smart specialization strategies, a place-based european approach characterised by the identification of strategic areas for intervention on r&s and innovation as a driving factor for development and territorial competitiveness. Therefore a new classification of enterprises has been defined, that represents all the dimensions of smart specialization, such as innovation, r&s, human capital, business relations, environmental sustainability, ability to drive the territorial development. This work introduces the results of a composite indicator on the microdata of the italian business census 2019, integrated with Istat business registers, identifying a score for each individual enterprises, rather than on aggregates (e.g. territorial). The idea is to have a synthetic value on microdata in order to calculate indicators on aggregates, for example on economic activities of enterprises, defined with respect to new policy needs. The results provide indications of potentials and strategic development trajectories of regional economies. The methodology adopted offer different opportunities for analysis: it’s possible to evaluate the areas of smart specialization chosen by each Italian region for the coesion funds' 2021-2027 planning, which dimensions are stronger or weaker on each area, in order to give indications on investments and intervention priorities. It's possible to get an objective analysis of the region or country current situation in terms of research, innovation, industrial structures, skills and human capital. The output of this work is presented through different dashboards of outcome indicators for the Italian smart specialization areas at the regional or national level.

  • Keywords:
  • Composite indicator,
  • Innovation,
  • R&S,
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Sergio Salamone

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-1420-8422

Alessandro Faramondi

ISTAT, Italian National Institute of Statistics, Italy

Stefania Della Queva

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0003-2165-8584

  1. Balland, P.-A., Boschma, R., Crespo, J., Rigby, D.L., 2019. Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification. Reg. Stud. 53, 1252–1268. DOI: 10.1080/00343404.2018.1437900
  2. D’Adda, D., Guzzini, E., Iacobucci, D., Palloni, R., 2019a. Is Smart Specialisation Strategy coherent with regional innovative capabilities? Reg. Stud. 53, 1004–1016. DOI: 10.1080/00343404.2018.1523542
  3. Gianelle, C., Guzzo, F., & Marinelli, E. (2019). Smart Specialisation Evaluation: Setting the Scene. Smart Specialisation – JRC Policy Insights, JRC116110, March.
  4. Barca F. (2009), An Agenda for a reformed Cohesion policy. A place-based approach to meeting EU Challenges and Expectations. Independent Report to D. Hubner. Bruxelles: Commissioner of Regional Policy
  5. OECD (2008) "Handbook on constructing composite indicators: methodology and user guide". OECD Pubblications, Paris
  6. Lazarsfeld P.F. (1953), Mathematical thinking in the social sciences. Glencoe: The Free Press. Journal Article
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  • Anno di pubblicazione: 2023
  • Pagine: 193-196

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  • Anno di pubblicazione: 2023

Informazioni sul capitolo

Titolo del capitolo

A composite indicator to measure regional investment policies on R&D and innovation

Autori

Sergio Salamone, Alessandro Faramondi, Stefania Della Queva

Lingua

English

DOI

10.36253/979-12-215-0106-3.34

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

ASA 2022 Data-Driven Decision Making

Sottotitolo del libro

Book of short papers

Curatori

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

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Proceedings e report

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2704-601X

e-ISSN della collana

2704-5846

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