IDEAS home Printed from https://ideas.repec.org/a/jfr/ijhe11/v7y2018i5p167.html
   My bibliography  Save this article

Investigating the Performance of Japan’s Competitive Grant Grants-in-Aid for Scientific Research System

Author

Listed:
  • Yasunori Yamashita
  • Hoang Ngan Giang
  • Tatsuo Oyama

Abstract

We aim at investigating characteristics of Japan’s largest competitive grant Grants-in-Aid for Scientific Research (GASR) system in order to find a desirable research funding system, obtaining more applicants from various academic disciplines, researchers’ gender, and ages. Firstly, we briefly describe the Japanese competitive research funding system including the GASR system. Then we investigate the GASR system quantitatively, focusing on its funding, allocation and relationship with the Japanese Science and Technology Basic Plans. Quantitative characteristic analyses are conducted for the GASR system from various perspectives such as type of research projects, academic disciplines, researchers’ gender, and ages by investigating the data for applications, acceptances, and budgets allocated in the recent 10 years. Finally, we summarize our findings and conclude the paper by proposing policy recommendations to improve Japan’s competitive research funding system.

Suggested Citation

  • Yasunori Yamashita & Hoang Ngan Giang & Tatsuo Oyama, 2018. "Investigating the Performance of Japan’s Competitive Grant Grants-in-Aid for Scientific Research System," International Journal of Higher Education, Sciedu Press, vol. 7(5), pages 167-167, October.
    • Handle: RePEc:jfr:ijhe11:v:7:y:2018:i:5:p:167
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/download/14188/8852
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/view/14188
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fandel, Gunter, 2007. "On the performance of universities in North Rhine-Westphalia, Germany: Government's redistribution of funds judged using DEA efficiency measures," European Journal of Operational Research, Elsevier, vol. 176(1), pages 521-533, January.
    2. Lootsma, F. A. & Mensch, T. C. A. & Vos, F. A., 1990. "Multi-criteria analysis and budget reallocation in long-term research planning," European Journal of Operational Research, Elsevier, vol. 47(3), pages 293-305, August.
    Full references (including those not matched with items on IDEAS)

    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. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    2. M Tavana & M A Sodenkamp, 2010. "A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1459-1470, October.
    3. Lipovetsky, S. & Lootsma, F. A., 2000. "Generalized golden sections, repeated bisections and aesthetic pleasure," European Journal of Operational Research, Elsevier, vol. 121(1), pages 213-216, February.
    4. Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    5. Harald Dyckhoff & Sylvia Rassenhövel & Kirsten Sandfort, 2009. "Empirische Produktionsfunktion betriebswirtschaftlicher Forschung: Eine Analyse der Daten des Centrums für Hochschulentwicklung," Schmalenbach Journal of Business Research, Springer, vol. 61(1), pages 22-56, February.
    6. Tommaso Agasisti & Ralph Hippe & Giuseppe Munda, 2017. "Efficiency of investment in compulsory education: empirical analyses in Europe," JRC Research Reports JRC106678, Joint Research Centre.
    7. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    8. Drebee, Hayder Abbas & Abdul Razak, Nor Azam, 2018. "Measuring the Efficiency of Colleges at the University of Al-Qadisiyah-Iraq: A Data Envelopment Analysis Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 153-166.
    9. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    10. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    11. Marcel Clermont, 2016. "Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1347-1381, September.
    12. Andreas Dellnitz & Andreas Kleine & Wilhelm Rödder, 2018. "CCR or BCC: what if we are in the wrong model?," Journal of Business Economics, Springer, vol. 88(7), pages 831-850, September.
    13. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    14. Cantner, Uwe & Grashof, Nils & Grebel, Thomas & Zhang, Xijie, 2023. "When Excellence is not Excellent: The Impact of the Excellence Initiative on the Relative Productivity of German Universities," MPRA Paper 118139, University Library of Munich, Germany.
    15. Xiaohong Liu & Qingyuan Zhu & Junfei Chu & Xiang Ji & Xingchen Li, 2019. "Environmental Performance and Benchmarking Information for Coal-Fired Power Plants in China: A DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1287-1302, December.
    16. Rödder, W. & Reucher, E., 2011. "A consensual peer-based DEA-model with optimized cross-efficiencies - Input allocation instead of radial reduction," European Journal of Operational Research, Elsevier, vol. 212(1), pages 148-154, July.
    17. Marcel Clermont & Alexander Dirksen & Harald Dyckhoff, 2015. "Returns to scale of Business Administration research in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 583-614, May.
    18. Herrero, Inés & Algarrada, Inmaculada, 2010. "Is the new ECTS system better than the traditional one? An application to the ECTS pilot-project at the University Pablo de Olavide," European Journal of Operational Research, Elsevier, vol. 204(1), pages 164-172, July.
    19. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    20. Salas-Velasco, Manuel, 2024. "Evaluation of undergraduate academic programs through data envelopment analysis and time-to-degree estimates at Spanish public universities," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - 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:jfr:ijhe11:v:7:y:2018:i:5:p:167. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.