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The Role of EU Policy in Supporting Technological Innovation in SMEs - a Bayesian Network Analysis of Firm-Level Data from Poland

Author

Listed:
  • Massimo FLORIO
  • Aleksandra PARTEKA
  • Emanuela SIRTORI
Abstract
We study the effectiveness of the ‘Technological Credit’ (TC) instrument in supporting innovation in Polish SMEs. Our research question is: to what extent does providing credit to SMEs tied to technological investment affect capital expenditure and how does this change the innovativeness of firms? So far, the evidence on the impact of this policy instrument is unsystematic. To answer the question, we use an approach which is novel in innovation policy studies: we perform a Bayesian Network Analysis of survey data. Our data include a unique sample of 200 Polish firms that received TC support during the 2007-2013 programming period. Our findings confirm short-term positive effects (i.e. a wider range of products/services offered and increased sales and exports) and we also have many interesting results related to behavioural changes in firms (which are not necessarily quantifiable economically). We also find that only more financially solid and more internationalized firms were able to take advantage of the policy. These findings suggest that schemes based on technological credits are not appropriate for promoting innovation in all types of SME and should be designed to shift the technological frontier rather than to sustain a catching up process for firms lagging behind the frontier.

Suggested Citation

  • Massimo FLORIO & Aleksandra PARTEKA & Emanuela SIRTORI, 2016. "The Role of EU Policy in Supporting Technological Innovation in SMEs - a Bayesian Network Analysis of Firm-Level Data from Poland," Departmental Working Papers 2016-13, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    • Handle: RePEc:mil:wpdepa:2016-13
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    References listed on IDEAS

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    More about this item

    Keywords

    technological innovation; innovation policy; ex-post evaluation; Bayesian Network Analysis;
    All these keywords.

    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
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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