IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i7d10.1007_s11192-021-04008-8.html
   My bibliography  Save this article

International collaboration in higher education research: A gravity model approach

Author

Listed:
  • Stanislav Avdeev

    (Center for Institutional Studies, Higher School of Economics)

Abstract

Although geographical distance has become less relevant in co–authorship for monodisciplinary fields such as economics, mathematics, and physics, little is known about international collaboration in multidisciplinary fields such as higher education. This paper studies collaboration patterns in higher education research using the Scopus database with the application of the gravity model. The results show that the intensity of collaboration is negatively associated with geographical distance and positively associated with linguistic commonality but these findings differ significantly between various world regions. European scholars appear to give preference to linguistically proximate partners over geographical neighbours. Although English is the lingua franca in science, language is not a significant factor for the formation of collaboration for North American and Asian researchers. These findings have policy implications for fostering multidisciplinary research in international partnerships.

Suggested Citation

  • Stanislav Avdeev, 2021. "International collaboration in higher education research: A gravity model approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5569-5588, July.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-04008-8
    DOI: 10.1007/s11192-021-04008-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-04008-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-021-04008-8?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Reinhold Kliegl & Douglas Bates, 2011. "International collaboration in psychology is on the rise," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 149-158, April.
    2. Tanya S. Rosenblat & Markus M. Mobius, 2004. "Getting Closer or Drifting Apart?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 971-1009.
    3. Jarno Hoekman & Koen Frenken & Frank Oort, 2009. "The geography of collaborative knowledge production in Europe," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 721-738, September.
    4. Almeida, J.A.S. & Pais, A.A.C.C. & Formosinho, S.J., 2009. "Science indicators and science patterns in Europe," Journal of Informetrics, Elsevier, vol. 3(2), pages 134-142.
    5. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    6. Hoekman, Jarno & Frenken, Koen & Tijssen, Robert J.W., 2010. "Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe," Research Policy, Elsevier, vol. 39(5), pages 662-673, June.
    7. Jonathan Adams, 2012. "The rise of research networks," Nature, Nature, vol. 490(7420), pages 335-336, October.
    8. Caroline S. Wagner & Travis A. Whetsell & Loet Leydesdorff, 2017. "Growth of international collaboration in science: revisiting six specialties," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1633-1652, March.
    9. António Correia & Hugo Paredes & Benjamim Fonseca, 2018. "Scientometric analysis of scientific publications in CSCW," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 31-89, January.
    10. Christoph Bartneck & Jun Hu, 2010. "The fruits of collaboration in a multidisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 41-52, October.
    11. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    12. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    13. Jonathan Adams, 2013. "The fourth age of research," Nature, Nature, vol. 497(7451), pages 557-560, May.
    14. Marek Kwiek, 2020. "Internationalists and locals: international research collaboration in a resource-poor system," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 57-105, July.
    15. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    16. Lei Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Characteristics of international collaboration in sport sciences publications and its influence on citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 843-862, November.
    17. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    18. Lukas Kuld & John O’Hagan, 2018. "Rise of multi-authored papers in economics: Demise of the ‘lone star’ and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1207-1225, March.
    19. Wolfgang Glänzel, 2001. "National characteristics in international scientific co-authorship relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 69-115, April.
    20. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    21. Waltman, Ludo & Tijssen, Robert J.W. & Eck, Nees Jan van, 2011. "Globalisation of science in kilometres," Journal of Informetrics, Elsevier, vol. 5(4), pages 574-582.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jarmila Zimmermannova & Andreas P. Redecker & Michal Mensik & Carsten Juergens, 2021. "Geospatial Data Analysis and Economic Evaluation of Companies for Sustainable Business Development—An Interdisciplinary Teaching Approach," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    2. Hu, Guangyuan & Ni, Rong & Tang, Li, 2022. "Do international nonstop flights foster influential research? Evidence from Sino-US scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    3. Yuan Chih Fu & Marcelo Marques & Yuen-Hsien Tseng & Justin J. W. Powell & David P. Baker, 2022. "An evolving international research collaboration network: spatial and thematic developments in co-authored higher education research, 1998–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1403-1429, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    2. Wentian Shi & Wenlong Yang & Debin Du, 2020. "The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    3. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.
    4. Laurent R. Bergé, 2017. "Network proximity in the geography of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 785-815, November.
    5. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    6. 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.
    7. 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.
    8. Vieira, Elizabeth S. & Cerdeira, Jorge & Teixeira, Aurora A.C., 2022. "Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain," Journal of Informetrics, Elsevier, vol. 16(2).
    9. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    10. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
    11. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    12. Michael Cary & Taylor Rockwell, 2020. "International Collaboration in Open Access Publications: How Income Shapes International Collaboration," Publications, MDPI, vol. 8(1), pages 1-24, February.
    13. A. Fernández & E. Ferrándiz & M. D. León, 2016. "Proximity dimensions and scientific collaboration among academic institutions in Europe: The closer, the better?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1073-1092, March.
    14. de Frutos-Belizón, Jesús & García-Carbonell, Natalia & Ruíz-Martínez, Marta & Sánchez-Gardey, Gonzalo, 2023. "Disentangling international research collaboration in the Spanish academic context: Is there a desirable researcher human capital profile?," Research Policy, Elsevier, vol. 52(6).
    15. Qingzhou Luo & Jianhong Cecilia Xia & Gaby Haddow & Michele Willson & Jun Yang, 2018. "Does distance hinder the collaboration between Australian universities in the humanities, arts and social sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 695-715, May.
    16. Young-Sun Jang & Young Joo Ko, 2019. "How latecomers catch up to leaders in high-energy physics as Big Science: transition from national system to international collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 437-480, April.
    17. Eli Rudinow Saetnan & Richard Philip Kipling, 2016. "Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1057-1074, November.
    18. Tokmachev, Andrey M., 2023. "Regular collective dynamics of research collaboration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    19. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    20. Hiroyasu Inoue & Kentaro Nakajima & Yukiko Umeno Saito, 2019. "Localization of collaborations in knowledge creation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 119-140, February.

    More about this item

    Keywords

    Economics of science; Gravity model; Higher education; International collaboration; Spatial econometrics;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-04008-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.