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    Macroeconomic Modelling of R&D and Innovation Policies

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    Contributor(s)
    Akcigit, Ufuk (editor)
    Benedetti Fasil, Cristiana (editor)
    Impullitti, Giammario (editor)
    Licandro, Omar (editor)
    Sanchez-Martinez, Miguel (editor)
    Collection
    EU collection
    Language
    English
    Show full item record
    Abstract
    This open access book encompasses a collection of in-depth analyses showcasing the challenges and ways forward for macroeconomic modelling of R&D and innovation policies. Based upon the proceedings of the EC-DG JRC-IEA workshop held in Brussels in 2017, it presents cutting-edge contributions from a number of leading economists in the field. It provides a comprehensive overview of the current academic and policy challenges surrounding R&D as well as of the state-of-the-art modelling techniques. The book brings to the forefront outstanding issues related to the assessment of the macroeconomic impact of R&D policies and its modelling. It speaks to the rising importance of R&D and innovation policy, and the proliferation of macroeconomic models featuring endogenous technological change. The contents of this book will be of interest to both academic and policy audiences working in the fields of R&D and innovation.
    URI
    https://library.oapen.org/handle/20.500.12657/51453
    Keywords
    R&D; Innovation policy; Macroeconomic modelling; Endogenous technological progress; Endogenous growth theory; Economic growth challenges; Open Access
    DOI
    10.1007/978-3-030-71457-4
    ISBN
    9783030714574, 9783030714574
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2022
    Grantor
    • European Commission - [grantnumber unknown]
    Imprint
    Palgrave Macmillan
    Series
    International Economic Association Series,
    Classification
    Economic growth
    Macroeconomics
    Research and development management
    Pages
    212
    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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