IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1114-d728147.html
   My bibliography  Save this article

NEV’s Supply Chain Coordination with Financial Constraint and Demand Uncertainty

Author

Listed:
  • Xin Li

    (Department of Decision Sciences, Macau University of Science and Technology, Macau, China
    These authors contributed equally to this work.)

  • Yongjian Li

    (Department of Decision Sciences, Macau University of Science and Technology, Macau, China
    These authors contributed equally to this work.)

Abstract

Sustainable development coordination can facilitate the new energy vehicles (NEV) supply chain. By a coordinating supply contract, the operating costs can be reduced and supply chain competitiveness can be improved. We designed a revenue-sharing and buy-back (RSBB) contract to coordinate the supply chain with the cash-strapped retailer or manufacturer and analyzed the impact of the acceptable bankruptcy risk and own fund on the optimal order quantity, supply chain profits, and coordinating factors, including revenue share and buy-back price. Interestingly, the revenue share decreases in the acceptable bankruptcy risk, but the buy-back price increases in the acceptable bankruptcy risk when the retailer has financial constraints. However, when the manufacturer has financial constraints, the revenue share increases in the acceptable bankruptcy risk, but the buy-back price decreases in the acceptable bankruptcy risk.

Suggested Citation

  • Xin Li & Yongjian Li, 2022. "NEV’s Supply Chain Coordination with Financial Constraint and Demand Uncertainty," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1114-:d:728147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1114/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1114/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhu, Wenge & He, Yuanjie, 2017. "Green product design in supply chains under competition," European Journal of Operational Research, Elsevier, vol. 258(1), pages 165-180.
    2. Hertzel, Michael G. & Li, Zhi & Officer, Micah S. & Rodgers, Kimberly J., 2008. "Inter-firm linkages and the wealth effects of financial distress along the supply chain," Journal of Financial Economics, Elsevier, vol. 87(2), pages 374-387, February.
    3. Bengang Gong & Xuan Xia & Jinshi Cheng, 2020. "Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    4. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    5. Srinivasa Raghavan, N.R. & Mishra, Vinit Kumar, 2011. "Short-term financing in a cash-constrained supply chain," International Journal of Production Economics, Elsevier, vol. 134(2), pages 407-412, December.
    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. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    2. Chaonan Li & Tianyi Guo & Yan Chen, 2022. "Robust Emission Reduction Strategies under Cap-and-Trade and Demand Uncertainty," Sustainability, MDPI, vol. 14(20), pages 1-27, 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. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    2. Zhang, Wen & Yan, Shaoshan & Li, Jian & Tian, Xin & Yoshida, Taketoshi, 2022. "Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    3. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    4. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    5. Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    6. Dong, Ciwei & Liu, Qingyu & Shen, Bin, 2019. "To be or not to be green? Strategic investment for green product development in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 193-227.
    7. Mukherjee, Arka & Carvalho, Margarida, 2021. "Dynamic decision making in a mixed market under cooperation: Towards sustainability," International Journal of Production Economics, Elsevier, vol. 241(C).
    8. Yingying Xin & Xiao Zeng & Zhengying Luo, 2022. "Customers' tone in MD&A disclosure and suppliers' inventory efficiency: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3833-3853, December.
    9. Fan, Jianchang & Ni, Debing & Fang, Xiang, 2020. "Liability cost sharing, product quality choice, and coordination in two-echelon supply chains," European Journal of Operational Research, Elsevier, vol. 284(2), pages 514-537.
    10. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    11. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    12. Krolikowski, Marcin W. & Adhikari, Hari P. & Malm, James & Sah, Nilesh B., 2017. "Inter-firm linkages and M&A returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 135-146.
    13. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    14. Huang, Yi & Lin, Chen & Liu, Sibo & Tang, Heiwai, 2023. "Trade networks and firm value: Evidence from the U.S.-China trade war," Journal of International Economics, Elsevier, vol. 145(C).
    15. Jun-bin Wang & Lufei Huang, 2021. "A Game-Theoretic Analytical Approach for Fostering Energy-Saving Innovation in the Electric Vehicle Supply Chain," SAGE Open, , vol. 11(2), pages 21582440211, June.
    16. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    17. Michi Nishihara & Takashi Shibata, 2020. "Optimal capital structure and bankruptcy cascades," Discussion Papers in Economics and Business 20-10, Osaka University, Graduate School of Economics.
    18. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    19. Sharifkhani, Ali & Simutin, Mikhail, 2021. "Feedback loops in industry trade networks and the term structure of momentum profits," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1171-1187.
    20. José Jorge & Joana Rocha, 2018. "Agglomeration and Industry Spillover Effects in the Aftermath of a Credit Shock," CEF.UP Working Papers 1801, Universidade do Porto, Faculdade de Economia do Porto.

    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:3:p:1114-:d:728147. 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.