IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v64y2013i11p2317-2325.html
   My bibliography  Save this article

The Triple Helix of university‐industry‐government relations at the country level and its dynamic evolution under the pressures of globalization

Author

Listed:
  • Fred Y. Ye
  • Susan S. Yu
  • Loet Leydesdorff

Abstract

Using data from the Web of Science (WoS), we analyze the mutual information among university, industry, and government addresses (U‐I‐G) at the country level for a number of countries. The dynamic evolution of the Triple Helix can thus be compared among developed and developing nations in terms of cross‐sectional coauthorship relations. The results show that the Triple Helix interactions among the three subsystems U‐I‐G become less intensive over time, but unequally for different countries. We suggest that globalization erodes local Triple Helix relations and thus can be expected to have increased differentiation in national systems since the mid‐1990s. This effect of globalization is more pronounced in developed countries than in developing ones. In the dynamic analysis, we focus on a more detailed comparison between China and the United States. Specifically, the Chinese Academy of the (Social) Sciences is changing increasingly from a public research institute to an academic one, and this has a measurable effect on China's position in the globalization.

Suggested Citation

  • Fred Y. Ye & Susan S. Yu & Loet Leydesdorff, 2013. "The Triple Helix of university‐industry‐government relations at the country level and its dynamic evolution under the pressures of globalization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(11), pages 2317-2325, November.
  • Handle: RePEc:bla:jamist:v:64:y:2013:i:11:p:2317-2325
    DOI: 10.1002/asi.22931
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.22931
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.22931?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:hig:wpaper:98sti2019 is not listed on IDEAS
    2. Marina Van Geenhuizen & Pieter Stek, 2015. "Mapping innovation in the global photovoltaic industry: a bibliometric approach to cluster identification and analysis," ERSA conference papers ersa15p697, European Regional Science Association.
    3. Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    4. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    5. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    6. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    7. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    8. Mêgnigbêto, Eustache, 2018. "Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system," Journal of Informetrics, Elsevier, vol. 12(4), pages 1118-1132.
    9. Junghyun Yoon & Jaehoon Rhee & Alisher Tohirovich Dedahanov, 2017. "The roles of networks among innovators in regional innovation: comparative analysis between China and South Korea," European Planning Studies, Taylor & Francis Journals, vol. 25(5), pages 790-804, May.
    10. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
    11. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    12. Olivier Coussi & Kadígia Faccin & Evelyne Lande & Alsones Balestrin, 2015. "Emergence of a territorial triple helix approach during the life cycle of a foreign direct investment project: the HT MICRON case in Brazil [Emergence D'Une Demarche Territorial Triple Helice Duran," Post-Print hal-02114143, HAL.
    13. Gutiérrez Ortega, Armando & Mungaray Lagarda, Alejandro & Osorio Novela, Germán, 2022. "Midiendo la incertidumbre en sistemas de innovación de Triple Hélice [Measuring uncertainty in Triple Helix innovation systems]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 310-325, June.
    14. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    15. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
    16. Bhawani Bhatnagar & Viktor Dörfler & Jillian MacBryde, 2023. "Navigating the open innovation paradox: an integrative framework for adopting open innovation in pharmaceutical R&D in developing countries," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2204-2248, December.
    17. Chen, Kaihua & Zhang, Yi & Zhu, Guilong & Mu, Rongping, 2020. "Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?," Technovation, Elsevier, vol. 94.
    18. Jyoti Paswan & Vivek Kumar Singh & Mousumi Karmakar & Prashasti Singh, 2022. "Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6063-6082, November.
    19. Xin Wang, 2023. "Research on the Coupling Coordination Degree of Triple Helix of Government Guidance, Industrial Innovation and Scientific Research Systems: Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    20. Chau, Vinh Sum & Gilman, Mark & Serbanica, Cristina, 2017. "Aligning university–industry interactions: The role of boundary spanning in intellectual capital transfer," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 199-209.
    21. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    22. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    23. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    24. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamist:v:64:y:2013:i:11:p:2317-2325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.