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Innovation policy mix: mapping and measurement

Author

Listed:
  • Dirk Meissner

    (National Research University Higher School of Economics)

  • Sandrine Kergroach

    (Organization for Economic Cooperation and Development)

Abstract

The “policy mix” concept has gained popularity among science, technology and innovation policy communities over the past two decades in a context of growing policy complexity and need for policy evidence. Pressing societal challenges are also prompting governments to rethink policy making in order to better align public intervention across policy domains and leverage the transformative potential of system innovations. Governments faced multiple obstacles in implementing a policy mix approach in policy making and evaluation. Based on a comparative analysis of international STI policy repositories, a conceptual framework is proposed, as well as structuring principles and operational guidelines for mapping the composition of a policy mix, identifying interactions among components and translating the mapping into measurement. In that view, a range of new policy mix metrics is introduced. Finally, the discussion focuses on the need for moving towards a new data management paradigm and enlarging the measurement mix.

Suggested Citation

  • Dirk Meissner & Sandrine Kergroach, 2021. "Innovation policy mix: mapping and measurement," The Journal of Technology Transfer, Springer, vol. 46(1), pages 197-222, February.
    • Handle: RePEc:kap:jtecht:v:46:y:2021:i:1:d:10.1007_s10961-019-09767-4
    DOI: 10.1007/s10961-019-09767-4
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    References listed on IDEAS

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    Cited by:

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    2. María J. Ibáñez & Maribel Guerrero & Claudia Yáñez-Valdés & Sebastián Barros-Celume, 2022. "Digital social entrepreneurship: the N-Helix response to stakeholders’ COVID-19 needs," The Journal of Technology Transfer, Springer, vol. 47(2), pages 556-579, April.
    3. Tea Petrin & Dragana Radicic, 2023. "Instrument policy mix and firm size: is there complementarity between R&D subsidies and R&D tax credits?," The Journal of Technology Transfer, Springer, vol. 48(1), pages 181-215, February.
    4. Chenguang Li & Zhenjun Qiu & Tao Fu, 2021. "The Role of Policy Perceptions and Entrepreneurs’ Preferences in Firms’ Response to Industry 4.0: The Case of Chinese Firms," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    5. Jiang, Zihao & Shi, Jiarong, 2023. "Government intervention and technological innovation in the wind power industry in China: The role of industrial environmental turbulence," Applied Energy, Elsevier, vol. 344(C).
    6. Giulia Giacomello Pompilio & Tiago F. A. C. Sigahi & Izabela Simon Rampasso & Gustavo Hermínio Salati Marcondes de Moraes & Lucas Veiga Ávila & Walter Leal Filho & Rosley Anholon, 2023. "Innovation in Brazilian Industries: Analysis of Management Practices Using Fuzzy TOPSIS," Mathematics, MDPI, vol. 11(6), pages 1-19, March.
    7. Sonja Đuričin & Isidora Beraha & Olivera Jovanović & Marija Mosurović Ružičić & Marija Lazarević-Moravčević & Mihailo Paunović, 2022. "The Efficiency of National Innovation Policy Programs: The Case of Serbia," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

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    More about this item

    Keywords

    Innovation policy; Technology policy; STI policy mix;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • H4 - Public Economics - - Publicly Provided Goods
    • I2 - Health, Education, and Welfare - - Education
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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