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R&D cooperation in SMEs: the direct effect and the moderating role of human capital

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  • Claudia Cantabene
  • Iacopo Grassi

Abstract

We analyse the determinants of R&D cooperation for SMEs in Italy. We introduce in the literature human capital as one of the main determinants of R&D cooperation, concentrating on its moderating role, and specifically focusing on the high-tech sector. Using an extremely rich dataset, we improve the literature, building robust explanatory variables, and disaggregating the cooperation by partner. We find that human capital facilitates cooperation, but its moderating role depends on the type of disaggregation and/or the partner.

Suggested Citation

  • Claudia Cantabene & Iacopo Grassi, 2020. "R&D cooperation in SMEs: the direct effect and the moderating role of human capital," Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3090-3105, June.
    • Handle: RePEc:taf:applec:v:52:y:2020:i:28:p:3090-3105
    DOI: 10.1080/00036846.2019.1705243
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    Cited by:

    1. Tsung-Chun Chen & Yenchun Jim Wu, 2020. "The Influence of R&D Intensity on Financial Performance: The Mediating Role of Human Capital in the Semiconductor Industry in Taiwan," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    2. Sung Hyo Hong, 2021. "Determinants of Selection of R&D Cooperation Partners: Insights from Korea," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    3. 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).
    4. Zhang, Zhongqingyang & Zhu, Huiming & Zhou, Zhongbao & Zou, Kai, 2022. "How does innovation matter for sustainable performance? Evidence from small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 153(C), pages 251-265.
    5. Yang, Siying & Wang, Wenzhi & Ding, Tao, 2023. "Intelligent transformation and sustainable innovation capability: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PB).

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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