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Relation between awarding of Grants-in-aid for scientific research and characteristics of applicants in Japanese universities

Author

Listed:
  • Moritaka Hosotsubo

    (National Institute of Science and Technology Policy, MEXT
    Kyushu University)

  • Ryuei Nishii

    (Kyushu University)

Abstract

Japan’s system of Grants-in-aid for scientific research aims to promote creative and pioneering research across a wide spectrum of fields, ranging from the humanities and social sciences to the natural sciences. The grants, amounting to 191 billion JPY (in 2006 FY) per year, are the main sources of competitive research funds for applicants belonging to national and public universities. In this paper, we examine this system by performing a statistical analysis on the relation between the awarding of grants and the attributes of applicants, including field, degree, position, and other covariates. We used Poisson, negative binomial distributions, their generalized linear models and logistic regressions for implementing covariates to the model. The analysis reveals interesting features of academic fields as well as the attributes of the awarded applicants.

Suggested Citation

  • Moritaka Hosotsubo & Ryuei Nishii, 2016. "Relation between awarding of Grants-in-aid for scientific research and characteristics of applicants in Japanese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1097-1116, November.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:2:d:10.1007_s11192-016-2074-3
    DOI: 10.1007/s11192-016-2074-3
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    References listed on IDEAS

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    1. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    2. Moritaka Hosotsubo, 2011. "A statistical study of transferral and promotion mechanisms relating to the appointment of professors at Japanese national universities based on cross tabulation and log-linear model analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 405-430, February.
    3. Naomi Fukuzawa, 2014. "An empirical analysis of the relationship between individual characteristics and research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 785-809, June.
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    Cited by:

    1. Cristian Mejia & Yuya Kajikawa, 2018. "Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 883-904, March.

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    More about this item

    Keywords

    Difference of academic fields; Model selection; Multinomial logistic regression; Zero-inflated distribution;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    Statistics

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