IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v566y2021ics0378437120309699.html
   My bibliography  Save this article

A basic model for empirical funding distributions

Author

Listed:
  • Huang, Ding-wei

Abstract

A previous model for a novel system is reinterpreted for the traditional systems of funding allocation. Empirical data can be well described. Both research funding and education funding are analyzed. The effect of merit-based cumulative advantage is more significant in research funding, where a slight difference is noticed between basic sciences and applied sciences. In contrast, the counter effect of cumulative advantage can be observed in education funding. Simple parameters are useful to distinguish between different distributions. The theoretical model presents three distinct regimes: equal sharing, cumulative advantage effect, and counter effect. The regime of equal sharing presents as a valley. Both cumulative advantage effect and counter effect result in the concentration of funding, which present as two plateaus of different heights.

Suggested Citation

  • Huang, Ding-wei, 2021. "A basic model for empirical funding distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    • Handle: RePEc:eee:phsmap:v:566:y:2021:i:c:s0378437120309699
    DOI: 10.1016/j.physa.2020.125671
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120309699
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2020.125671?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Gulbrandsen, Magnus & Smeby, Jens-Christian, 2005. "Industry funding and university professors' research performance," Research Policy, Elsevier, vol. 34(6), pages 932-950, August.
    2. Harold R. Garner & Lauren J. McIver & Michael B. Waitzkin, 2013. "Same work, twice the money?," Nature, Nature, vol. 493(7434), pages 599-601, January.
    3. Vincent Larivière & Benoit Macaluso & Éric Archambault & Yves Gingras, 2010. "Which scientific elites? On the concentration of research funds, publications and citations," Research Evaluation, Oxford University Press, vol. 19(1), pages 45-53, March.
    4. Jeremy M. Berg, 2012. "Well-funded investigators should receive extra scrutiny," Nature, Nature, vol. 489(7415), pages 203-203, September.
    5. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.
    6. Qiang Zhi & Tianguang Meng, 2016. "Funding allocation, inequality, and scientific research output: an empirical study based on the life science sector of Natural Science Foundation of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 603-628, February.
    7. Johan Bollen & David Crandall & Damion Junk & Ying Ding & Katy Börner, 2017. "An efficient system to fund science: from proposal review to peer-to-peer distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 521-528, January.
    8. Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
    9. Thed N. van Leeuwen & Henk F. Moed, 2012. "Funding decisions, peer review, and scientific excellence in physical sciences, chemistry, and geosciences," Research Evaluation, Oxford University Press, vol. 21(3), pages 189-198, August.
    10. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.
    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. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.
    2. Alessandro Pluchino & Alessio Emanuele Biondo & Andrea Rapisarda, 2018. "Talent Versus Luck: The Role Of Randomness In Success And Failure," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-31, May.
    3. Álvarez-Bornstein, Belén & Bordons, María, 2021. "Is funding related to higher research impact? Exploring its relationship and the mediating role of collaboration in several disciplines," Journal of Informetrics, Elsevier, vol. 15(1).
    4. Zhou Mo & Zhang Yujie & Lei Jiasu & Tan Xiaowen, 2022. "Early firm engagement, government research funding, and the privatization of public knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4797-4826, August.
    5. Yin, Zhifeng & Liang, Zheng & Zhi, Qiang, 2018. "Does the concentration of scientific research funding in institutions promote knowledge output?," Journal of Informetrics, Elsevier, vol. 12(4), pages 1146-1159.
    6. Kazuki Nakajima & Kazuyuki Shudo & Naoki Masuda, 2023. "Higher-order rich-club phenomenon in collaborative research grant networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2429-2446, April.
    7. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
    8. Rongying Zhao & Xinlai Li & Zhisen Liang & Danyang Li, 2019. "Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 323-347, October.
    9. Andrea Bonaccorsi & Brigida Blasi & Carmela Anna Nappi & Sandra Romagnosi, 2022. "Quality of research as source and signal: revisiting the valorization process beyond substitution vs complementarity," The Journal of Technology Transfer, Springer, vol. 47(2), pages 407-434, April.
    10. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    11. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    12. Julia Olmos‐Peñuela & Paul Benneworth & Elena Castro‐Martínez, 2015. "Exploring the factors related with scientists’ willingness to incorporating external knowledge," CHEPS Working Papers 201504, University of Twente, Center for Higher Education Policy Studies (CHEPS).
    13. Mohammed R. AlShareef & Ibrahim A. Alrammah & Nasser A. Alshoukani & Abdulaziz M. Almalik, 2023. "The impact of financial incentives on research production: Evidence from Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3067-3089, May.
    14. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    15. Venkatasubramanian, Venkat & Luo, Yu & Sethuraman, Jay, 2015. "How much inequality in income is fair? A microeconomic game theoretic perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 435(C), pages 120-138.
    16. Crespi, Gustavo & D'Este, Pablo & Fontana, Roberto & Geuna, Aldo, 2011. "The impact of academic patenting on university research and its transfer," Research Policy, Elsevier, vol. 40(1), pages 55-68, February.
    17. Fiaschi, Davide & Marsili, Matteo, 2012. "Distribution of wealth and incomplete markets: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 243-267.
    18. Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    19. Christopher S. Hayter, 2016. "A trajectory of early-stage spinoff success: the role of knowledge intermediaries within an entrepreneurial university ecosystem," Small Business Economics, Springer, vol. 47(3), pages 633-656, October.
    20. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.

    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:eee:phsmap:v:566:y:2021:i:c:s0378437120309699. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.