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A bibliometric tool to assess the regional dimension of university–industry research collaborations

Author

Listed:
  • Giovanni Abramo

    (National Research Council of Italy
    University of Rome “Tor Vergata”)

  • Ciriaco Andrea D’Angelo

    (University of Rome “Tor Vergata”)

  • Marco Solazzi

    (NEXT Ingegneria dei Sistemi S.p.A)

Abstract

The present study proposes a bibliometric methodology for measuring the grade of correspondence between regional industry’s demand for research collaboration and supply from public laboratories. The methodology also permits measurement of the intensity and direction of the regional flows of knowledge in public–private collaborations. The aim is to provide a diagnostic instrument for regional and national policy makers, which could add to existing ones to plan interventions for re-balancing sectorial public supply of knowledge with industrial absorptive capacity, and maximizing appropriability of knowledge spillovers. The methodology is applied to university–industry collaborations in the hard sciences in all Italian administrative regions.

Suggested Citation

  • Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2012. "A bibliometric tool to assess the regional dimension of university–industry research collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 955-975, June.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0577-5
    DOI: 10.1007/s11192-011-0577-5
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    Cited by:

    1. Luigi Aldieri & Gennaro Guida & Maxim Kotsemir & Concetto Paolo Vinci, 2019. "An investigation of impact of research collaboration on academic performance in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2003-2040, July.
    2. Quentin Plantec & Pascal Le Masson & Benoît Weil, 2022. "Nobel laurates and the role of the industry in the emergence of new scientific breakthroughs," Post-Print hal-03727378, HAL.
    3. Henk F. Moed & Gali Halevi, 2014. "A bibliometric approach to tracking international scientific migration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1987-2001, December.
    4. Aurora A. C. Teixeira & Luisa Mota, 2012. "A bibliometric portrait of the evolution, scientific roots and influence of the literature on university–industry links," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 719-743, December.
    5. 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.
    6. Claudia Noumedem Temgoua, 2018. "Highly skilled migration and the internationalization of knowledge," Cahiers du GREThA (2007-2019) 2018-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    7. Yuandi Wang & Jiashun Huang & Yantai Chen & Xiongfeng Pan & Jin Chen, 2013. "Have Chinese universities embraced their third mission? New insight from a business perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 207-222, November.
    8. Balzhan Orazbayeva & Carolin Plewa & Todd Davey & Victoria Galán-Muros, 2019. "The future of University-Business Cooperation: research and practice priorities," Post-Print hal-02880384, HAL.
    9. Yu-Wei Chang, 2014. "Exploring scientific articles contributed by industries in Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 599-613, May.
    10. Myrzakhmet, Marat & Myrzakhmet, Zhanat & Myrzakhmet, Bolat, 2021. "Активность И Кооперация Университета, Бизнеса И Государства В Акмолинской Области Республики Казахстан [Activity and cooperation of the university, business, and government in the Akmola region of ," MPRA Paper 106143, University Library of Munich, Germany.
    11. 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.
    12. Matricano, Diego, 2022. "The influence of gender on technology transfer processes managed in Italian Young Innovative Companies: A stochastic frontier analysis," Technovation, Elsevier, vol. 111(C).

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