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Economic, linguistic, and political factors in the scientific productivity of countries

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  • Ernesto R. Gantman

    (Universidad de Belgrano, Escuela de Economía y Negocios
    Universidad de Buenos Aires, Facultad de Ciencias Económicas)

Abstract

This paper examines the influence of economic, linguistic, and political factors in the scientific productivity of countries across selected scientific disciplines. Using a negative binomial regression model, I show that the effect of these determinants is contingent upon the scientific field under analysis. The only variable that exerts a positive and significant effect across all disciplines is the size of the economy. The linguistic variable only has a positive influence in the social sciences as well as in medicine and agricultural sciences. In addition, it is also demonstrated that the degree of political authoritarianism has a negative and statistically significant effect in some of the selected fields.

Suggested Citation

  • Ernesto R. Gantman, 2012. "Economic, linguistic, and political factors in the scientific productivity of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 967-985, December.
    • Handle: RePEc:spr:scient:v:93:y:2012:i:3:d:10.1007_s11192-012-0736-3
    DOI: 10.1007/s11192-012-0736-3
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    Cited by:

    1. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    2. Esther Vaquero-Álvarez & Antonio Cubero-Atienza & Pilar Ruiz-Martínez & Manuel Vaquero-Abellán & María Dolores Redel Mecías & Pilar Aparicio-Martínez, 2020. "Bibliometric Study of Technology and Occupational Health in Healthcare Sector: A Worldwide Trend to the Future," IJERPH, MDPI, vol. 17(18), pages 1-22, September.
    3. Tuan V. Nguyen & Thao P. Ho-Le & Ut V. Le, 2017. "International collaboration in scientific research in Vietnam: an analysis of patterns and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1035-1051, February.
    4. Micael Rosa Parreira & Karine Borges Machado & Ramiro Logares & José Alexandre Felizola Diniz-Filho & João Carlos Nabout, 2017. "The roles of geographic distance and socioeconomic factors on international collaboration among ecologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1539-1550, December.
    5. Maria Glinyanova & Ricarda B. Bouncken & Victor Tiberius & Antonio C. Cuenca Ballester, 2021. "Five decades of corporate entrepreneurship research: measuring and mapping the field," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1731-1757, December.
    6. Tanel Hirv, 2022. "The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1295-1316, March.
    7. Khosrowjerdi, Mahmood & Bornmann, Lutz, 2021. "Is culture related to strong science? An empirical investigation," Journal of Informetrics, Elsevier, vol. 15(4).
    8. Barbara S. Lancho-Barrantes & Hector G. Ceballos-Cancino & Francisco J. Cantu-Ortiz, 2021. "Comparing the efficiency of countries to assimilate and apply research investment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1347-1369, August.
    9. Hrvoje Matakovic & Mirjana Pejic Bach & Iva Radocaj Novak, 2013. "Scientific Productivity in Transition Countries: Trends and Obstacles," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 174-189.
    10. Christoph Emanuel Mueller, 2016. "Accurate forecast of countries’ research output by macro-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1307-1328, November.
    11. Alonso Rodríguez-Navarro & Ricardo Brito, 2022. "The link between countries’ economic and scientific wealth has a complex dependence on technological activity and research policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2871-2896, May.
    12. Mahmood Khosrowjerdi & Lutz Bornmann, 2019. "Is culture related to strong science? An empirical investigation," Papers 1909.04521, arXiv.org, revised Apr 2021.
    13. Osmo Kivinen & Juha Hedman & Kalle Artukka, 2017. "Scientific publishing and global university rankings. How well are top publishing universities recognized?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 679-695, July.
    14. Bach Mirjana Pejić, 2015. "How to Write and Publish A Scientific Paper: A Closer Look to Eastern European Economics, Business and Management Journals," Business Systems Research, Sciendo, vol. 6(1), pages 93-103, March.
    15. Jung Cheol Shin & Soo Jeung Lee, 2022. "Different measures of international faculty and their impacts on global rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6125-6145, November.

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    More about this item

    Keywords

    Scientific productivity; Economic development; Authoritarianism; Count models;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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