IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v28y2026i1p100-116.html

A Market-Based Mechanism for Global Vaccine Procurement Coalitions

Author

Listed:
  • Luyi Gui

    (Paul Merage School of Business, University of California, Irvine, California 92697)

Abstract

Problem definition : Equitable vaccine distribution is paramount to containing global disease outbreaks. An important pathway to achieve this goal is pooled vaccine procurement through global coalitions, exemplified by the COVID-19 Vaccine Global Access (COVAX) initiative, which was implemented based on equitable, centrally managed vaccine allocation, affordable prices, and subsidies to fund lower-income economies. However, the limited participation of high-income countries—which chose to purchase vaccines directly from manufacturers via bilateral agreements—reduced the supply available to COVAX and compromised the equity objective of the initiative. Regulatory barriers, such as export bans, exacerbated the coalition’s lack of access to vaccines. In this paper, we propose a market-based mechanism to enhance participation in a global vaccine procurement coalition under supply constraints. Methodology/results : We develop a new variant of the Fisher market model by incorporating a Nash bargaining game that captures bilateral agreement negotiation under regulation. We show that adopting market-clearing prices to match vaccine supply with demand in the coalition can effectively discourage bilateral agreements, provided that countries do not impose stringent export restrictions or possess dominating negotiation power. Complementing market-clearing prices with a subsidy allocation that accounts for disparities in risk, per-capita procurement budget, and power across countries can lead to an equitable vaccine distribution outcome, if sufficient subsidy funding is available. A case study based on COVAX illustrates the equity improvements of the proposed mechanism under practical settings. Managerial implications : Achieving vaccine equity in health emergencies marked by supply constraints may require an integrated approach that combines market mechanisms to incentivize global participation with centrally coordinated aid to address disparities in wealth and power.

Suggested Citation

  • Luyi Gui, 2026. "A Market-Based Mechanism for Global Vaccine Procurement Coalitions," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 100-116, January.
  • Handle: RePEc:inm:ormsom:v:28:y:2026:i:1:p:100-116
    DOI: 10.1287/msom.2025.0036
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2025.0036
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2025.0036?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
    ---><---

    References listed on IDEAS

    as
    1. Ho‐Yin Mak & Tinglong Dai & Christopher S. Tang, 2022. "Managing two‐dose COVID‐19 vaccine rollouts with limited supply: Operations strategies for distributing time‐sensitive resources," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4424-4442, December.
    2. Marta Serra-Garcia & Nora Szech, 2023. "Incentives and Defaults Can Increase COVID-19 Vaccine Intentions and Test Demand," Management Science, INFORMS, vol. 69(2), pages 1037-1049, February.
    3. Kauf, Teresa L., 1999. "Price discrimination and bargaining power in the U.S. vaccine market: Implications for childhood immunization policy," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(2), pages 249-265.
    4. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.
    5. Hamed Mamani & Stephen E. Chick & David Simchi-Levi, 2013. "A Game-Theoretic Model of International Influenza Vaccination Coordination," Management Science, INFORMS, vol. 59(7), pages 1650-1670, July.
    6. Kaneko, Mamoru & Nakamura, Kenjiro, 1979. "The Nash Social Welfare Function," Econometrica, Econometric Society, vol. 47(2), pages 423-435, March.
    7. Devansh Jalota & Yinyu Ye, 2025. "Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements," Operations Research, INFORMS, vol. 73(2), pages 798-818, March.
    8. Kayla Cummings & Banafsheh Behzad & Susan Martonosi, 2021. "Centers for Disease Control and Prevention as a Strategic Agent in the Pediatric Vaccine Market: An Analytical Approach," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1398-1412, November.
    9. Gagan Goel & Vijay V. Vazirani, 2011. "A Perfect Price Discrimination Market Model with Production, and a Rational Convex Program for It," Mathematics of Operations Research, INFORMS, vol. 36(4), pages 762-782, November.
    10. Martonosi, Susan E. & Behzad, Banafsheh & Cummings, Kayla, 2021. "Pricing the COVID-19 vaccine: A mathematical approach," Omega, Elsevier, vol. 103(C).
    11. Matthew J. Robbins & Sheldon H. Jacobson & Uday V. Shanbhag & Banafsheh Behzad, 2014. "The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization," INFORMS Journal on Computing, INFORMS, vol. 26(1), pages 183-198, February.
    12. Dimitris Bertsimas & Vivek F. Farias & Nikolaos Trichakis, 2011. "The Price of Fairness," Operations Research, INFORMS, vol. 59(1), pages 17-31, February.
    13. Eva K. Lee & Fan Yuan & Ferdinand H. Pietz & Bernard A. Benecke & Greg Burel, 2015. "Vaccine Prioritization for Effective Pandemic Response," Interfaces, INFORMS, vol. 45(5), pages 425-443, October.
    14. Sarang Deo & Charles J. Corbett, 2009. "Cournot Competition Under Yield Uncertainty: The Case of the U.S. Influenza Vaccine Market," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 563-576, July.
    15. Anna Teytelman & Richard C. Larson, 2013. "Multiregional Dynamic Vaccine Allocation During an Influenza Epidemic," Service Science, INFORMS, vol. 5(3), pages 197-215, September.
    16. Joseph T. Wu & Lawrence M. Wein & Alan S. Perelson, 2005. "Optimization of Influenza Vaccine Selection," Operations Research, INFORMS, vol. 53(3), pages 456-476, June.
    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. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    2. Fadaki, Masih & Abareshi, Ahmad & Far, Shaghayegh Maleki & Lee, Paul Tae-Woo, 2022. "Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    3. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    4. Osman Y. Özaltın & Oleg A. Prokopyev & Andrew J. Schaefer, 2018. "Optimal Design of the Seasonal Influenza Vaccine with Manufacturing Autonomy," INFORMS Journal on Computing, INFORMS, vol. 30(2), pages 371-387, May.
    5. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    6. Simina Brânzei & Vasilis Gkatzelis & Ruta Mehta, 2022. "Nash Social Welfare Approximation for Strategic Agents," Operations Research, INFORMS, vol. 70(1), pages 402-415, January.
    7. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2022. "Influenza vaccine supply chain coordination under uncertain supply and demand," European Journal of Operational Research, Elsevier, vol. 297(3), pages 930-948.
    8. Yu Lu & Shaochong Lin & Zuo-Jun Max Shen & Junlong Zhang, 2025. "Location planning, resource reallocation and patient assignment during a pandemic considering the needs of ordinary patients," Health Care Management Science, Springer, vol. 28(2), pages 234-258, June.
    9. Muckstadt, John A. & Klein, Michael G. & Jackson, Peter L. & Gougelet, Robert M. & Hupert, Nathaniel, 2023. "Efficient and effective large-scale vaccine distribution," International Journal of Production Economics, Elsevier, vol. 262(C).
    10. Alexandar Angelus & Özalp Özer, 2022. "On the large‐scale production of a new vaccine," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 3043-3060, July.
    11. Xie, Lei & Hou, Pengwen & Han, Hongshuai, 2021. "Implications of government subsidy on the vaccine product R&D when the buyer is risk averse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    12. Zhou, Jian & Cai, Junyang & Pantelous, Athanasios A. & Li, Zhen & Li, Musen Kingsley, 2025. "A decision-making framework for supporting an equitable global vaccine distribution under humanitarian perspectives," European Journal of Operational Research, Elsevier, vol. 327(2), pages 655-672.
    13. Walter J. Gutjahr, 2023. "Fair and efficient vaccine allocation: A generalized Gini index approach," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 4114-4134, December.
    14. Jackie Baek & Vivek F. Farias, 2024. "Fair Exploration via Axiomatic Bargaining," Management Science, INFORMS, vol. 70(12), pages 8922-8939, December.
    15. Peng Sun & Liu Yang & Francis de Véricourt, 2009. "Selfish Drug Allocation for Containing an International Influenza Pandemic at the Onset," Operations Research, INFORMS, vol. 57(6), pages 1320-1332, December.
    16. Arzi Adbi & Chirantan Chatterjee & Matej Drev & Anant Mishra, 2019. "When the Big One Came: A Natural Experiment on Demand Shock and Market Structure in India's Influenza Vaccine Markets," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 810-832, April.
    17. Hamed Mamani & Stephen E. Chick & David Simchi-Levi, 2013. "A Game-Theoretic Model of International Influenza Vaccination Coordination," Management Science, INFORMS, vol. 59(7), pages 1650-1670, July.
    18. Xu, Danni & Wang, Fan & Zhuo, Xiaopo & Liu, Yaoqi, 2024. "The performance of government subsidy schemes in a competitive vaccine market considering consumers' free-riding behavior," International Journal of Production Economics, Elsevier, vol. 268(C).
    19. Soo-Haeng Cho, 2010. "The Optimal Composition of Influenza Vaccines Subject to Random Production Yields," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 256-277, November.
    20. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:inm:ormsom:v:28:y:2026:i:1:p:100-116. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.