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The impact of R&D subsidies on R&D employment composition

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  • Sergio Afcha

    (Pontificia Universidad Católica del Perú)

  • Jose García-Quevedo

    (University of Barcelona & IEB)

Abstract

In this paper we examine the impact of subsidies granted at national and regional levels on a set of R&D employment variables and, specifically, we seek to identify the existence of the behavioural additionality effects of these public subsidies on firms’ R&D human resources. We begin by assessing the effects of public funds on R&D private expenditures and on the number of R&D employees, and then focus on their impact on the composition of human resources engaged in R&D as classified by occupation and level of education. The data used correspond to the Spanish Technological Innovation Panel for the period 2006-2011. To control for selection bias and endogeneity, a combination of non-parametric matching techniques are implemented. After ruling out the existence of crowding out effects, our results show that R&D subsidies increase the number of R&D employees. However, no increase is found in the average level of qualification of R&D staff members in subsidized firms. All in all, the effects of public support are heterogeneous being dependent on the source of the subsidy and the firms’ characteristics.

Suggested Citation

  • Sergio Afcha & Jose García-Quevedo, 2014. "The impact of R&D subsidies on R&D employment composition," Working Papers 2014/22, Institut d'Economia de Barcelona (IEB).
    • Handle: RePEc:ieb:wpaper:doc2014-22
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    Cited by:

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    2. Modou Mar & Nadine Massard, 2021. "Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impacts of the French cluster policy [The impact of R&D subsidies on R&D employment comp," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 845-867.
    3. Lanahan, Lauren & Joshi, Amol M. & Johnson, Evan, 2021. "Do public R&D subsidies produce jobs? Evidence from the SBIR/STTR program," Research Policy, Elsevier, vol. 50(7).
    4. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).
    5. Afcha, S. & García-Quevedo, J. & Mas-Verdú, F., 2023. "Gaining or losing PhDs: What are the effects on firms' linkages with universities?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    6. Cao, Qinwei & Qiu, Shunli & Huang, Jian, 2022. "Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    7. Jugend, Daniel & Fiorini, Paula De Camargo & Armellini, Fabiano & Ferrari, Aline Gabriela, 2020. "Public support for innovation: A systematic review of the literature and implications for open innovation," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    8. Tchorzewska, K.B. & Garcia-Quevedo, J. & Martinez-Ros, E., 2022. "The heterogeneous effects of environmental taxation on green technologies," Research Policy, Elsevier, vol. 51(7).
    9. Gao, Yuchen & Hu, Yimei & Liu, Xielin & Zhang, Huanren, 2021. "Can public R&D subsidy facilitate firms’ exploratory innovation? The heterogeneous effects between central and local subsidy programs," Research Policy, Elsevier, vol. 50(4).

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    More about this item

    Keywords

    R&D subsidies; R&D employment; matching estimators; technology 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
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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