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Can grants to consortia spur innovation and science-industry collaboration? : regression-discontinuity evidence from Poland

Author

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  • Bruhn,Miriam
  • Mckenzie,David J.

Abstract

This paper uses a regression discontinuity design to study the effect of Poland's In-Tech program on innovation activities. The analysis focuses on a component of the program that provides grants to projects that are carried out by consortia of firms and research entities. Data from a 2016 follow-up survey of applicants to the 2012 and 2013 calls for proposals show that In-Tech largely funds projects that would not otherwise get funded by other agencies or by the consortia themselves, increasing the probability of a project being completed by almost 60 percentage points. The results also show that the program leads to more science-industry collaboration, and increases the probability of applying for a patent related to the proposed project, as well as the probability of publishing a research paper related to the project. The analysis also finds early effects on commercialization of products related to the proposed project, although these products currently still make up a small share of firm's sales.

Suggested Citation

  • Bruhn,Miriam & Mckenzie,David J., 2017. "Can grants to consortia spur innovation and science-industry collaboration? : regression-discontinuity evidence from Poland," Policy Research Working Paper Series 7934, The World Bank.
    • Handle: RePEc:wbk:wbrwps:7934
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    Cited by:

    1. Jan Cadil & Karel Mirosnik & Ludmila Petkovova & Michal Mirvald, 2018. "Public Support of Private R&D–Effects on Economic Sustainability," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    2. Abdulaziz Reshid & Erik Hegelund & Peter Svensson, 2025. "Indirect effects of R&D subsidies: labor mobility as a channel for knowledge spillovers," Small Business Economics, Springer, vol. 65(2), pages 1113-1140, August.
    3. Awaworyi Churchill, Sefa & Iqbal, Nasir & Nawaz, Saima & Yew, Siew Ling, 2021. "Unconditional cash transfers, child labour and education: theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 437-457.
    4. Dvouletý Ondřej & Čadil Jan & Mirošník Karel, 2019. "Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    5. Garret Kent Fellows & Jennifer Winter & Alaz Munzur, 2023. "An Analysis of Industrial Policy Mechanisms to Support Commercial Deployment of Bitumen Partial Upgrading in Alberta," Energies, MDPI, vol. 16(6), pages 1-49, March.
    6. Yiwen Liu & Jian Li & Yi Xu, 2022. "Quantitative Evaluation of High-Tech Industry Policies Based on the PMC-Index Model: A Case Study of China’s Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 14(15), pages 1-17, July.

    More about this item

    Keywords

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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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