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Measuring non-R&D drivers of innovation: The case of SMEs in lagging regions

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  • Reher, Leonie
  • Runst, Petrik
  • Thomä, Jörg
  • Bizer, Kilian

Abstract

In order to better capture non-R&D based processes related to Learning by Doing, Using and Interacting (DUI) as a basis for policy advice, this paper empirically identifies DUI mode drivers of SME innovation. For the first time, a large set of conceptually derived indicators is used in a self-conducted survey. Using lasso regression as a data-driven selection technique capable of handling such a large number of potential predictors, we find that DUI learning involves a wide range of elements beyond interaction with external actors. Moreover, our results suggest that the relevance of DUI learning for predicting SME innovation depends on both the region and the type of innovation output. SME innovation in lagging regions is strongly related to the DUI mode, which is particularly pronounced in the case of intra-firm learning processes. These results suggest that R&D capacity is not the only main driver of SME innovation, especially in lagging regions, and therefore provide an indication of how firms can compensate for unfavourable conditions in their regional innovation environment. This in turn implies going beyond innovation policy in the narrow sense to a more holistic approach that may include links with other policy areas.

Suggested Citation

  • Reher, Leonie & Runst, Petrik & Thomä, Jörg & Bizer, Kilian, 2024. "Measuring non-R&D drivers of innovation: The case of SMEs in lagging regions," ifh Working Papers 45/2024, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    • Handle: RePEc:zbw:ifhwps:300235
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    More about this item

    Keywords

    innovation measurement; innovation indicator; modes of innovation; SME innovation; regional innovation; lagging regions; lasso regression; variable selection; group lasso; ordinal predictors;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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