The influence of international research interaction on national innovation performance: A bibliometric approach

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International research interactions, specifically interpersonal collaboration, institutional collaboration and within multinational corporation (MNC) collaboration, have been increasing since the 2000s as a result of globalization and rising technological complexity. Yet the impact of international research interactions (IRIs) on national innovation performance is ambiguous. In this study patent-based bibliometric indicators are developed to investigate the influence of different types of IRI on innovation performance using bibliometric data covering eight knowledge intensive manufacturing sectors and 32 countries during the 2003–2008 period. This sector-based approach avoids some of the problems of using patents as innovation indicators, like varying patenting propensities across sectors by comparing the same sectors across countries. In the study a knowledge production function is estimated for each sector, with patents serving as an indicator of knowledge output. The overall results suggest an absence of positive influence of IRI on innovation performance, and sometimes even a negative influence pointing to ‘reversed knowledge flows’. But the pattern is nuanced and differs per sector and type of collaboration. For example, interpersonal collaboration has a negative or no effect on innovation performance depending on the sector, and institutional collaboration has no effect on innovation performance. Within MNC collaboration has a positive influence on innovation performance in the chemicals and pharmaceuticals sectors, but a negative effect or no effect in other sectors. Computers are an exceptional sector in that the influence of IRI depends on the absolute size of the sector in the domestic economy. The paper concludes with the theoretical relevance of these findings and some policy implications are also discussed.

Original languageEnglish
Pages (from-to)61-70
Number of pages10
JournalTechnological Forecasting and Social Change
Publication statusPublished - 2016

Bibliographical note

Accepted Author Manuscript


  • Bibliometric
  • Innovation
  • International
  • Patents
  • Research interaction


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