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Modelling and measuring the effects of public subsidies on business R&D: theoretical and econometric issues

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Abstract

It is the aim of this paper to review the principal econometric models used so far to measure the effect of government’s support to private R&D expenditure; in order to reach this task, we first present a basic theoretical framework to identify the effects of public subsidies on business R&D, going on by extending it to the case of dynamic complementarities and presence of subsidy spillovers. The review of the econometric models, the core of the paper, starts from section 4. We first classify econometric models according to three dimensions: 1. structural (based on a system of equations) and non-structural (based on a reduced-form equation and, possibly, a counterfactual) models; 2. models using the subsidy variable in a continuous or in a binary form; and finally, 3. studies exploiting a cross-section versus a longitudinal (panel data) structure. The final part of the paper is an original contribution providing some guidelines to implement R&D policy evaluation in a dynamic subsidization setting.

Suggested Citation

  • Giovanni Cerulli, 2008. "Modelling and measuring the effects of public subsidies on business R&D: theoretical and econometric issues," CERIS Working Paper 200803, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    • Handle: RePEc:csc:cerisp:200803
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    Cited by:

    1. Dezhina, I. & Simachev, Yu., 2013. "Matching Grants for Stimulating Partnerships between Companies and Universities in Innovation Area: Initial Effects in Russia," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 99-122.
    2. Spyros Arvanitis, 2013. "Micro-econometric approaches to the evaluation of technology-oriented public programmes: a non-technical review of the state of the art," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 3, pages 56-88, Edward Elgar Publishing.

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    More about this item

    Keywords

    business R&D; public incentives; econometric evaluation; dynamic treatment;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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