IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7155-d836216.html
   My bibliography  Save this article

Incentive Mechanism Design in Collaborative Management of Public Health Emergencies

Author

Listed:
  • Yaxin Huang

    (School of Health Policy & Management, Nanjing Medical University, Jiangning District, Nanjing 211166, China)

  • Xinyu Lou

    (School of Public Health, Nanjing Medical University, Jiangning District, Nanjing 211166, China)

  • Changqing Wang

    (School of Health Policy & Management, Nanjing Medical University, Jiangning District, Nanjing 211166, China)

  • Zhisong Chen

    (Business School, Nanjing Normal University, Qixia District, Nanjing 210023, China
    Stern School of Business, New York University, 44 West Fourth Street, New York, NY 10012, USA)

Abstract

Against the background of the worldwide spread of the COVID-19 pandemic, due to the lack of effective collaborative incentive mechanisms, issues of dislocation and incoordination have emerged in the public health emergency management system (PES) globally. Nevertheless, the available research rarely touches upon the incentive mechanism design for the collaborative management of PES. To alleviate these inefficiency operations problems with PES, three game-theoretical decision models, including a decentralized decision model without public governance policy incentive (GPI), a decentralized decision model with GPI, and a collaborative decision model with GPI, were developed and analyzed to explore and design the incentive mechanism of PES. Furthermore, the corresponding numerical and sensitivity analyses were conducted to validate the modelling results in the article. The research results show that: (1) the collaborative decision scenario with GPI performs best, and the decentralized decision scenario with GPI performs second-best regarding the equilibrium emergency management efforts (EMEs) and utilities in all the decision scenarios; (2) an incentive mechanism of the “carrot + Stick” can effectively enhance the collaborative management of public health emergencies and its governance-driven operational performance/efficiency; (3) strengthening the performance assessment of emergency management for relevant government departments is beneficial in improving the overall emergency management efficiency of the PES; (4) reducing the cost of EMEs and enhancing the effectiveness of EMEs are conducive to improving the overall emergency management efficiency of the PES. This research provides a novel framework for designing an effective incentive mechanism to overcome the incoordination impacts and achieve collaborative operations across the PES.

Suggested Citation

  • Yaxin Huang & Xinyu Lou & Changqing Wang & Zhisong Chen, 2022. "Incentive Mechanism Design in Collaborative Management of Public Health Emergencies," Sustainability, MDPI, vol. 14(12), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7155-:d:836216
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7155/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/12/7155/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sreekumar R. Bhaskaran & V. Krishnan, 2009. "Effort, Revenue, and Cost Sharing Mechanisms for Collaborative New Product Development," Management Science, INFORMS, vol. 55(7), pages 1152-1169, July.
    2. Margherita, Alessandro & Elia, Gianluca & Klein, Mark, 2021. "Managing the COVID-19 emergency: A coordination framework to enhance response practices and actions," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Rafeed Mahmud & Angela Wright & Mohammad Mahboob Rahman & Hatice Kizgin & Nripendra P. Rana, 2019. "Disaster management in Bangladesh: developing an effective emergency supply chain network," Annals of Operations Research, Springer, vol. 283(1), pages 1463-1487, December.
    4. Yiwei Chen & Özalp Özer, 2019. "Supply Chain Contracts That Prevent Information Leakage," Management Science, INFORMS, vol. 65(12), pages 5619-5650, December.
    5. Bastos, Leonardo S.L. & Marchesi, Janaina F. & Hamacher, Silvio & Fleck, Julia L., 2019. "A mixed integer programming approach to the patient admission scheduling problem," European Journal of Operational Research, Elsevier, vol. 273(3), pages 831-840.
    6. Burcu Balcik & Selene Silvestri & Marie‐Ève Rancourt & Gilbert Laporte, 2019. "Collaborative Prepositioning Network Design for Regional Disaster Response," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2431-2455, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanmin Ouyang & Haoran Zhao, 2022. "Evolutionary Game Analysis of Collaborative Prevention and Control for Public Health Emergencies," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    2. Changmin Tang & Xin Chen & Cuiling Guan & Pengqian Fang, 2022. "Attitudes and Response Capacities for Public Health Emergencies of Healthcare Workers in Primary Healthcare Institutions: A Cross-Sectional Investigation Conducted in Wuhan, China, in 2020," IJERPH, MDPI, vol. 19(19), pages 1-11, September.
    3. Xiaoqin Guo & Xiang Li, 2022. "A Study on Community Public Safety Collaborative Governance Regime in the Background of COVID-19: Empirical Analysis Based on China and South Korea," Sustainability, MDPI, vol. 14(21), pages 1-22, October.

    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. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    2. Hong Zheng & Lin Tian & Guo Li, 2023. "A bane or a boon? Profit‐margin‐guarantee contract in a channel with downstream competition," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2087-2100, July.
    3. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    4. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    5. Roma, Paolo & Perrone, Giovanni, 2016. "Cooperation among competitors: A comparison of cost-sharing mechanisms," International Journal of Production Economics, Elsevier, vol. 180(C), pages 172-182.
    6. Elodie Gardet & Pierre-Laurent Felix, 2013. "Methods for distributing results in exploratory partnerships," Post-Print hal-01287002, HAL.
    7. Feng Li & Yalong Wang, 2022. "Study on the Evolutionary Game of Cooperation and Innovation in Science and Technology Town Enterprises," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    8. Aasheesh Dixit & Patanjal Kumar & Suresh Jakhar, 2021. "Airport-Airline Coordination with Economic, Environmental and Social Considerations," Papers 2110.11694, arXiv.org.
    9. Shubham Gupta & Abhishek Roy & Subodha Kumar & Ram Mudambi, 2023. "When Worse Is Better: Strategic Choice of Vendors with Differentiated Capabilities in a Complex Cocreation Environment," Management Science, INFORMS, vol. 69(5), pages 2833-2851, May.
    10. Prasenjit Mandal & Tarun Jain & Abhishek Chakraborty, 2021. "Quality collaboration contracts under product pricing strategies," Annals of Operations Research, Springer, vol. 302(1), pages 231-264, July.
    11. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    12. Cong Wang & Zongbao Zou & Shidao Geng, 2021. "Green Technology Investment in a Decentralized Supply Chain under Demand Uncertainty," Sustainability, MDPI, vol. 13(7), pages 1-25, March.
    13. Peng Cui & Ping Zou & Xuan Ju & Yi Liu & Yalu Su, 2022. "Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    14. Wang, Jingqi & Shin, Hyoduk & Zhou, Qin, 2021. "The optimal investment decision for an innovative supplier in a supply chain," European Journal of Operational Research, Elsevier, vol. 292(3), pages 967-979.
    15. Nouri, Mina & Hosseini-Motlagh, Seyyed-Mahdi & Nematollahi, Mohammadreza & Sarker, Bhaba R., 2018. "Coordinating manufacturer's innovation and retailer's promotion and replenishment using a compensation-based wholesale price contract," International Journal of Production Economics, Elsevier, vol. 198(C), pages 11-24.
    16. Kelei Xue & Guohua Sun & Tongtong Yao, 2022. "Incentive Mechanisms for Carbon Emission Abatement Considering Consumers’ Low-Carbon Awareness under Cap-and-Trade Regulation," IJERPH, MDPI, vol. 19(7), pages 1-27, March.
    17. Chen, Chialin & Liu, Lucy Qian, 2014. "Pricing and quality decisions and financial incentives for sustainable product design with recycled material content under price leadership," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 666-677.
    18. Tao, Feng & Wang, Liang & Fan, Tijun & Yu, Hao, 2022. "RFID adoption strategy in a retailer-dominant supply chain with competing suppliers," European Journal of Operational Research, Elsevier, vol. 302(1), pages 117-129.
    19. Gurmeet Singh & Indranil Biswas & Samir K Srivastava, 2023. "Managing supply chain with green and non‐green products: Channel coordination and information asymmetry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1359-1372, March.
    20. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.

    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:gam:jsusta:v:14:y:2022:i:12:p:7155-:d:836216. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.