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Scientific capabilities and technological performance of national innovation systems: An exploration of emerging industrial relevant research domains

Author

Listed:
  • Bart Van Looy

    (Faculty of Economics and Applied Economics and Steunpunt O&O Statistieken, K. U. Leuven; Research Division INCENTIM, Faculty of Economics and Applied Economics, K. U. Leuven)

  • Koenraad Debackere

    (Faculty of Economics and Applied Economics and Steunpunt O&O Statistieken, K. U. Leuven; Research Division INCENTIM, Faculty of Economics and Applied Economics, K. U. Leuven)

  • Julie Callaert

    (Research Division INCENTIM, Faculty of Economics and Applied Economics, K. U. Leuven)

  • Robert Tijssen

    (CWTS)

  • Thed van Leeuwen

    (CWTS)

Abstract

Summary Today's theories and models on innovation stress the importance of scientific capabilities and science-technology proximity, especially in new emerging fields of economic activity. Inthis contribution we examine the relationship between national scientific capabilities, the science intensity of technology and technological performance within six emergent industrial fields. Our findings reveal that national technological performance is positively associated with scientific capabilities. Countries performing better on a technological level are characterized both by larger numbers of publications and by numbers of involved institutions that exceed average expected values. The latter observation holds for both companies and knowledge generating institutes actively involved in scientific activities. As such, our findings seem to suggest beneficial effects of scientific capabilities shouldered by a multitude of organizations. In addition, higher numbers of patent activity coincide with higher levels of science intensity pointing out the relevance of science 'proximity' when developing technology in newer, emerging fields. Limitations and directions for further research are discussed.

Suggested Citation

  • Bart Van Looy & Koenraad Debackere & Julie Callaert & Robert Tijssen & Thed van Leeuwen, 2006. "Scientific capabilities and technological performance of national innovation systems: An exploration of emerging industrial relevant research domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 295-310, February.
    • Handle: RePEc:spr:scient:v:66:y:2006:i:2:d:10.1007_s11192-006-0030-3
    DOI: 10.1007/s11192-006-0030-3
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    Citations

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    Cited by:

    1. Leten, Bart & Landoni, Paolo & Van Looy, Bart, 2014. "Science or graduates: How do firms benefit from the proximity of universities?," Research Policy, Elsevier, vol. 43(8), pages 1398-1412.
    2. Scott D. Bass & Lukasz A. Kurgan, 2010. "Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 217-241, February.
    3. Antonio Malva & Stijn Kelchtermans & Bart Leten & Reinhilde Veugelers, 2015. "Basic science as a prescription for breakthrough inventions in the pharmaceutical industry," The Journal of Technology Transfer, Springer, vol. 40(4), pages 670-695, August.
    4. Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Martin Meyer, 2007. "What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 779-810, March.
    6. Jiancheng Guan & Ying He, 2007. "Patent-bibliometric analysis on the Chinese science — technology linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 403-425, September.
    7. Talya Ponchek, 2016. "To Collaborate or Not to Collaborate? A Study of the Value of Innovation from a Sectoral Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(1), pages 43-79, March.
    8. Tan Tran, 2020. "R&D and Knowledge Expertise of French Regions," Papers in Evolutionary Economic Geography (PEEG) 2004, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2020.
    9. Xia Gao & Jiancheng Guan, 2009. "Networks of scientific journals: An exploration of Chinese patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 283-302, July.
    10. Zi-Lin He & Min Deng, 2007. "The evidence of systematic noise in non-patent references: A study of New Zealand companies’ patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 149-166, July.
    11. Felix Moya-Anegon & Carmen Lopez-Illescas & Vicente Guerrero-Bote & Henk F. Moed, 2020. "The citation impact of social sciences and humanities upon patentable technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1665-1687, November.
    12. Victoria Galan-Muros & Todd Davey, 2019. "The UBC ecosystem: putting together a comprehensive framework for university-business cooperation," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1311-1346, August.
    13. Ki-Seok Kwon & Ben R. Martin, 2012. "Synergy or separation mode: the relationship between the academic research and the knowledge-transfer activities of Korean academics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 177-200, January.
    14. M. Meyer & K. Debackere & W. Glänzel, 2010. "Can applied science be ‘good science’? Exploring the relationship between patent citations and citation impact in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 527-539, November.

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