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A quantitative relationship between per capita GDP and scientometric criteria

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  • Fred Y. Ye

    (Zhejiang University)

Abstract

There exists a quantitative relationship, which can be expressed as G=kF(lgP)N, where G is per capita GDP, F gross expenditure on R&D as % of GDP, P patent applications, N Internet users per 10,000 inhabitants, and k a constant ranging from 0.4 to 1.2 in most countries. The mechanism of the relationship is explained in the paper.

Suggested Citation

  • Fred Y. Ye, 2007. "A quantitative relationship between per capita GDP and scientometric criteria," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 407-413, June.
    • Handle: RePEc:spr:scient:v:71:y:2007:i:3:d:10.1007_s11192-007-1678-z
    DOI: 10.1007/s11192-007-1678-z
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    References listed on IDEAS

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    1. Leo Egghe & I. K. R. Ravichandra Rao, 2002. "Theory and experimentation on the most-recent-reference distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 371-387, March.
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    Cited by:

    1. Olavarrieta, Sergio & Villena, Mauricio G., 2014. "Innovation and business research in Latin America: An overview," Journal of Business Research, Elsevier, vol. 67(4), pages 489-497.
    2. Jason A. Hubbart & Hodjat Ghadimi, 2023. "Regional Wealth Data Acquisition and Modeling: Innovations Needed for Advancement in Sustainable Wealth in Energy-Rich Regions," Challenges, MDPI, vol. 14(4), pages 1-17, December.
    3. Frode Eika Sandnes, 2021. "A bibliometric study of human–computer interaction research activity in the Nordic-Baltic Eight countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4733-4767, June.
    4. Show-Ling Jang & Jennifer H. Chen, 2011. "What determines how long an innovative spell will last?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 65-76, January.
    5. Gündüz, Güngör & Kuzucuoğlu, Mahmut & Gündüz, Yalın, 2022. "Entropic characterization of Gross Domestic Product per capita (GDP) values of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    6. Osman Issah & Lúcia Lima Rodrigues, 2021. "Corporate Social Responsibility and Corporate Tax Aggressiveness: A Scientometric Analysis of the Existing Literature to Map the Future," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    7. Clarice Gameiro Fonseca Pachi & Jorge Futoshi Yamamoto & Anna Paula Amadeu Costa & Luis Fernandez Lopez, 2012. "Relationship between connectivity and academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 265-278, November.
    8. Evelyn Eika & Frode Eika Sandnes, 2022. "Starstruck by journal prestige and citation counts? On students’ bias and perceptions of trustworthiness according to clues in publication references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6363-6390, November.

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