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Efficient Contract in the R&D Sector: Key Parameters

Author

Listed:
  • Mikhail Gershman
  • Tatiana Kuznetsova

    (Institute for Statistical Studies and Economics of Knowledge, National Research University — Higher School of Economics)

Abstract

In 2012, the Russian government drew up a plan for improving the system of research remuneration by implementing the so-called «efficient contract» model in public R&D organizations. The details of this government initiative, however, still remain unclear, as do specific implementation arrangements. The paper provides the results of focus groups, held by the Higher School of Economics, in order to identify potential parameters of efficient contract modeling in the R&D sector. The discussions involved representatives from the State Academies of Sciences, universities and government research centers. Among issues raised were the organization of labor and remuneration system in the R&D sector, productivity of scientific activities, institutional conditions for a transition to «efficient contracts», and factors affecting the loyalty of researchers. Major conclusions presented in the paper include recommendations for salaries and for the research remuneration system for R&D personnel. In the authors’ view, one of the key parameters of an efficient research contract should be a «fair» minimum salary guaranteed by the government. Another recommendations in reference to R&D evaluation is that efficient contracts should guarantee not only fair rewards but also competitive selection in order to prevent an excessive inflow of the workforce from other sectors of the economy. Finally, the paper discusses problems of funding and the institutional development of the R&D sector. In the authors’ view, it will hardly be possible to build a high-performing system of efficient contracts without implementing profound reforms restructuring the R&D sector («selection of the best»), improving the funding system (finding additional sources of investment, streamlining the operation of public science foundations), modernizing the physical infrastructure, and arranging for the conservation of Russian scientific schools and attracting young talent. Note: Downloadable document is in Russian.

Suggested Citation

  • Mikhail Gershman & Tatiana Kuznetsova, 2013. "Efficient Contract in the R&D Sector: Key Parameters," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(3), pages 26-36.
  • Handle: RePEc:hig:fsight:v:7:y:2013:i:3:p:26-36
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    File URL: https://foresight-journal.hse.ru/data/2013/09/26/1277588674/3-Gershman-26-37.pdf
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    References listed on IDEAS

    as
    1. Stevens, Philip Andrew, 2004. "Academic Salaries in the UK and US," National Institute Economic Review, National Institute of Economic and Social Research, vol. 190, pages 104-113, October.
    2. Natalya Shmatko, 2011. "Scientific Capital as a Driver of Researchers’ Social Mobility," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 5(3), pages 18-32.
    3. Leonid Gokhberg & Tatyana Kuznetsova, 2011. "Strategy 2020: New Outlines of Russian Innovation Policy," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 5(4), pages 8-30.
    4. David Marsden, 2004. "The Role of Performance-Related Pay in Renegotiating the “Effort Bargain†: The Case of the British Public Service," ILR Review, Cornell University, ILR School, vol. 57(3), pages 350-370, April.
    5. Oecd, 2012. "Does Performance-Based Pay Improve Teaching?," PISA in Focus 16, OECD Publishing.
    6. Stevens, Philip Andrew, 2004. "Academic Salaries in the UK and US," National Institute Economic Review, National Institute of Economic and Social Research, vol. 190, pages 104-113, October.
    7. Marsden, David, 2004. "The role of performance-related pay in renegotiating the "effort bargain": the case of the British public service," LSE Research Online Documents on Economics 4036, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Konstantin Fursov & Yana Roschina & Oksana Balmush, 2016. "Determinants of Research Productivity: An Individual-level Lens," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(2), pages 44-56.
    2. Miloš Krstić & José António Filipe & José Chavaglia, 2020. "Higher Education as a Determinant of the Competitiveness and Sustainable Development of an Economy," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    3. Mikhail A. Gershman & Galina A. Kitova, 2016. "Evaluation of Research and Innovation Policies: The Case of Russian Universities," HSE Working papers WP BRP 57/STI/2016, National Research University Higher School of Economics.

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    More about this item

    Keywords

    efficient contract; remuneration system; researcher; R&D evaluation; pay-for-performance; S&T policy;
    All these keywords.

    JEL classification:

    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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