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The influence of proximity dimensions on international research collaboration: an analysis of European water projects

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  • Pieter W. Heringa
  • Laurens K. Hessels
  • Mariëlle van der Zouwen

Abstract

In this paper we investigate the effect of geographical, organisational and social proximity on the propensity of organisations to collaborate internationally in knowledge production. We apply logistic regression models on data from water research projects in the European Union’s Framework Programme 1–7. Although the main challenges in the water sector typically cut across borders, knowledge development is traditionally organised in national systems. These systems have a long tradition in collaborating across societal sectors. Despite the fact that about half of the collaborations in the Framework Programmes are not proximate at all, we show that all three proximity dimensions contribute to the propensity to collaborate. The three dimensions of proximity are weakly correlated, and there is a small substitution effect between organisational and geographical proximity.

Suggested Citation

  • Pieter W. Heringa & Laurens K. Hessels & Mariëlle van der Zouwen, 2016. "The influence of proximity dimensions on international research collaboration: an analysis of European water projects," Industry and Innovation, Taylor & Francis Journals, vol. 23(8), pages 753-772, November.
  • Handle: RePEc:taf:indinn:v:23:y:2016:i:8:p:753-772
    DOI: 10.1080/13662716.2016.1215240
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    References listed on IDEAS

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    1. Duncan A. Thomas & Roger R. Ford, 2005. "The Crisis of Innovation in Water and Wastewater," Books, Edward Elgar Publishing, number 3282.
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    Cited by:

    1. Pierre-Alexandre Balland & Ron Boschma & Koen Frenken, 2020. "Proximity, Innovation and Networks: A Concise Review and Some Next Steps," Papers in Evolutionary Economic Geography (PEEG) 2019, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.
    2. 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.
    3. Jyoti Dua & Vivek Kumar Singh & Hiran H. Lathabai, 2023. "Measuring and characterizing international collaboration patterns in Indian scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5081-5116, September.
    4. Andrea Ancona & Roy Cerqueti & Gianluca Vagnani, 2023. "A novel methodology to disambiguate organization names: an application to EU Framework Programmes data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4447-4474, August.
    5. Jyoti Dua & Hiran H. Lathabai & Vivek Kumar Singh, 2023. "Measuring and characterizing research collaboration in SAARC countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1265-1294, February.

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