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

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    Author(s)
    Faramondi, Alessandro
    SALAMONE, SERGIO
    Della Queva, Stefania
    Language
    English
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    Abstract
    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.
    Book
    ASA 2022 Data-Driven Decision Making
    URI
    https://library.oapen.org/handle/20.500.12657/74906
    Keywords
    Composite indicator; Innovation; R&S
    DOI
    10.36253/979-12-215-0106-3.34
    ISBN
    9791221501063, 9791221501063
    Publisher
    Firenze University Press, Genova University Press
    Publication date and place
    Florence, 2023
    Series
    Proceedings e report, 134
    Classification
    Society and Social Sciences
    Pages
    4
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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