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Public–private research collaborations: Longitudinal field‐level analysis of determinants, frequency, and impact

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  • Giovanni Abramo
  • Francesca Apponi
  • Ciriaco Andrea D'Angelo

Abstract

This study on public–private research collaboration measures the variation over time of the propensity of academics to collaborate with colleagues from private companies. It also investigates the change in weights of the main drivers underlying the academics’ propensity to collaborate, and whether the type profile of the collaborating academics changes. To do this, the study applies an inferential model on a dataset of professors working in Italian universities in consecutive periods, 2010–2013 and 2014–2017. The results, obtained at overall and field levels, support the formulation of policies aimed at fostering public–private research collaborations, and should be taken into account in postassessment of their effectiveness.

Suggested Citation

  • Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2021. "Public–private research collaborations: Longitudinal field‐level analysis of determinants, frequency, and impact," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1405-1427, December.
    • Handle: RePEc:bla:jecsur:v:35:y:2021:i:5:p:1405-1427
    DOI: 10.1111/joes.12425
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    References listed on IDEAS

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    Cited by:

    1. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2021. "The scholarly impact of private sector research: A multivariate analysis," Journal of Informetrics, Elsevier, vol. 15(3).
    2. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2022. "The geographic proximity effect on domestic cross-sector vis-a-vis intra-sector research collaborations," Papers 2202.10347, arXiv.org.
    3. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D’Angelo, 2022. "The geographic proximity effect on domestic cross-sector vis-à-vis intra-sector research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3505-3521, June.

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