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Measuring science-technology interaction in the knowledge-driven economy: The case of a small economy

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  • Martin Meyer

    (SPRU, University of Sussex, The Freeman Centre; Steunpunt O&O Statistieken, Catholic University of Leuven; Helsinki University of Technology, Institute of Strategy and International Business)

Abstract

Summary This paper addresses the issue of how science-technology interaction can be measured in the knowledge-driven economy. More specifically, it compares the patent citation indicator to another patent-based measure using data on a small European economy. Patent citation patterns will be compared to researcher patents. Comparing the two indicators suggests different patterns of science-technology linkage. An analysis of revealed technology contributions of academic inventors and a survey-based analysis of technological collaboration and knowledge transfer point to a possible explanation. Furthermore the research presents evidence that suggests technology sectors are related to different modes of collaboration in inventive processes amongst academics.

Suggested Citation

  • Martin Meyer, 2006. "Measuring science-technology interaction in the knowledge-driven economy: The case of a small economy," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 425-439, February.
    • Handle: RePEc:spr:scient:v:66:y:2006:i:2:d:10.1007_s11192-006-0018-z
    DOI: 10.1007/s11192-006-0018-z
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    Cited by:

    1. Zhou, Lei & Xiao, Wen & Yan, Na, 2023. "International comparative research on the relevance of science and technology and the innovation ability of the rare earth industry-from the perspective of technology-industry mapping based on patent ," Resources Policy, Elsevier, vol. 80(C).
    2. Rajeev K. Goel, 2023. "Seek foreign funds or technology? Relative impacts of different spillover modes on innovation," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1466-1488, August.
    3. Ali Gazni & Zahra Ghaseminik, 2019. "The increasing dominance of science in the economy: Which nations are successful?," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1411-1426, September.
    4. Wen Chi Hung, 2012. "Measuring the use of public research in firm R&D in the Hsinchu Science Park," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 63-73, July.
    5. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    6. Xia Fan & Wenjie Liu & Guilong Zhu, 2017. "Scientific linkage and technological innovation capabilities: international comparisons of patenting in the solar energy industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 117-138, April.
    7. Veronika Frigyesi & Patrice Laget & Mark Boden, 2019. "Exploitation of patent information in R&D output analysis for policymaking," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1717-1736, December.
    8. 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.
    9. Ding, Cherng G. & Hung, Wen-Chi & Lee, Meng-Che & Wang, Hung-Jui, 2017. "Exploring paper characteristics that facilitate the knowledge flow from science to technology," Journal of Informetrics, Elsevier, vol. 11(1), pages 244-256.
    10. Caravella, Serenella & Crespi, Francesco & Cucignatto, Giacomo & Guarascio, Dario, 2023. "Technological Sovereignty and Strategic Dependencies: The case of the Photovoltaic Supply Chain," GLO Discussion Paper Series 1330, Global Labor Organization (GLO).
    11. 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.
    12. Moreno-Brieva, Fernando, 2022. "Effective way to measure the specialization levels of an economy in the era of global value chains," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 420-429.
    13. Ejermo, Olof & Toivanen, Hannes, 2018. "University invention and the abolishment of the professor's privilege in Finland," Research Policy, Elsevier, vol. 47(4), pages 814-825.
    14. Elena Castro-Martínez & Fernando Jiménez-Sáez & Francisco Javier Ortega-Colomer, 2009. "Science and technology policies: A tale of political use, misuse and abuse of traditional R&D indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 827-844, September.
    15. Wen-Chi Hung & Cherng G. Ding & Hung-Jui Wang & Meng-Che Lee & Chieh-Peng Lin, 2015. "Evaluating and comparing the university performance in knowledge utilization for patented inventions," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1269-1286, February.
    16. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.
    17. Ugo Finardi, 2011. "Time relations between scientific production and patenting of knowledge: the case of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 37-50, October.
    18. Joaquín M. Azagra-Caro & Fragiskos Archontakis & Alfredo Yegros-Yegros, 2007. "In which regions do universities patent and publish more?," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 251-266, February.
    19. Manuel Krauskopf & Erwin Krauskopf & Bernardita Méndez, 2007. "Low awareness of the link between science and innovation affects public policies in developing countries: The Chilean case," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 93-103, July.
    20. Slavo Radosevic & Esin Yoruk, 2014. "Are there global shifts in the world science base? Analysing the catching up and falling behind of world regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1897-1924, December.

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