IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6874-d1127390.html
   My bibliography  Save this article

Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment

Author

Listed:
  • Jialu Ji

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Hongxing Zheng

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Jia Qi

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Mingjun Ji

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Lingrui Kong

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Shengzhong Ji

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

Abstract

As competition in the cross-border logistics-service market intensifies and demand rises, enterprises with third-party logistics (3PL) combine logistical and financial services to provide comprehensive services. This study considers a secondary supply chain consisting of a cross-border e-commerce enterprise and a 3PL enterprise. When cross-border e-commerce enterprises lack funds, 3PL enterprises can provide them with inventory pledge loans. Thus, we establish a Stackelberg game model between the abovementioned parties. We consider the stochastic fluctuation of exchange rate and demand, establish a combined decision model of the logistics-service level and financial service pledge rate of the 3PL enterprise when logistics services affect offshore market demand, and prove the existence of an optimal solution. Studies have shown that the optimal logistics-service level and pledge rate increase with an increase in import tariffs and logistics sensitivity coefficients in offshore markets. Meanwhile, they decrease with an increase in the capability coefficient of 3PL enterprises, exchange rate fluctuation, default rate, and price sensitivity factor in offshore markets. In addition, the more capable 3PL enterprises are, the greater the expected profitability of the entire supply chain. We also utilize authentic data to verify the abovementioned inference and establish its validity.

Suggested Citation

  • Jialu Ji & Hongxing Zheng & Jia Qi & Mingjun Ji & Lingrui Kong & Shengzhong Ji, 2023. "Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6874-:d:1127390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6874/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/8/6874/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiangfeng Chen & Gangshu (George) Cai & Jing-Sheng Song, 2019. "The Cash Flow Advantages of 3PLs as Supply Chain Orchestrators," Manufacturing & Service Operations Management, INFORMS, vol. 21(2), pages 435-451, May.
    2. Chen, Xiangfeng & Cai, Gangshu (George), 2011. "Joint logistics and financial services by a 3PL firm," European Journal of Operational Research, Elsevier, vol. 214(3), pages 579-587, November.
    3. Xu Xu & Chan He, 2022. "The Effects of Network Structure Attributes on Growth Performance of Logistics Service Integrators in Logistics Service Supply Chain: Empirical Evidence," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    4. Dong, June & Zhang, Ding & Nagurney, Anna, 2004. "A supply chain network equilibrium model with random demands," European Journal of Operational Research, Elsevier, vol. 156(1), pages 194-212, July.
    5. Vandenberg, Paul, 2003. "Adapting to the Financial Landscape: Evidence from Small Firms in Nairobi," World Development, Elsevier, vol. 31(11), pages 1829-1843, November.
    6. Opasanon, Sathaporn & Kitthamkesorn, Songyot, 2016. "Border crossing design in light of the ASEAN Economic Community: Simulation based approach," Transport Policy, Elsevier, vol. 48(C), pages 1-12.
    7. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    8. Wang, Fan & Yang, Xiao & Zhuo, Xiaopo & Xiong, Minghua, 2019. "Joint logistics and financial services by a 3PL firm: Effects of risk preference and demand volatility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 312-328.
    9. Wang, Zhiqiang & Wang, Qiang & Lai, Yin & Liang, Chaojie, 2020. "Drivers and outcomes of supply chain finance adoption: An empirical investigation in China," International Journal of Production Economics, Elsevier, vol. 220(C).
    10. Coppes, R. C., 1995. "Are exchange rate changes normally distributed?," Economics Letters, Elsevier, vol. 47(2), pages 117-121, February.
    11. Chanjuan Liu & Jinran Wu & Harshanie Lakshika Jayetileke, 2022. "Overseas Warehouse Deployment for Cross-Border E-Commerce in the Context of the Belt and Road Initiative," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    12. Xiaomeng Zhang & Qilan Zhao & Jianjun Zhang & Xiongping Yue, 2023. "Logistics Service Supply Chain Vertical Integration Decisions under Service Efficiency Competition," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    13. Cossin, Didier & González, Fernando & Huang, Zhijiang & Backé, Peter, 2003. "A framework for collateral risk control determination," Working Paper Series 209, European Central Bank.
    14. Gunasekaran, A. & Ngai, E. W. T., 2004. "Information systems in supply chain integration and management," European Journal of Operational Research, Elsevier, vol. 159(2), pages 269-295, December.
    15. Yuhao Wang & Jiaxian Shen & Jinnan Pan & Tingqiang Chen, 2022. "A Credit Risk Contagion Intensity Model of Supply Chain Enterprises under Different Credit Modes," Sustainability, MDPI, vol. 14(20), pages 1-26, 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. Damianos P. Sakas & Nikolaos T. Giannakopoulos & Nikos Kanellos & Christos Christopoulos & Kanellos S. Toudas, 2023. "Determining Factors for Supply Chain Services Provider Selection and Long-Term Relationship Maintenance: Evidence from Greece," Logistics, MDPI, vol. 7(4), pages 1-21, 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. Ratri Parida & Manoj Kumar Dash & Anil Kumar & Edmundas Kazimieras Zavadskas & Sunil Luthra & Eyob Mulat‐weldemeskel, 2022. "Evolution of supply chain finance: A comprehensive review and proposed research directions with network clustering analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1343-1369, October.
    2. Wang, Kai & Lin, Jun & Liu, Guoquan & Liu, Qi, 2022. "Strategic introduction of logistics retail and finance under competition and channel spillover," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    3. Hua, Shengya & Sun, Shuxiao & Liu, Zhongyi & Zhai, Xin, 2021. "Benefits of third-party logistics firms as financing providers," European Journal of Operational Research, Elsevier, vol. 294(1), pages 174-187.
    4. Chang, Shuhua & Li, Anqi & Wang, Xinyu & Zhang, Jiayue, 2023. "Optimal combination of platform channel contract and guarantee financing strategy in e-commerce market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    5. Wu, Yaobin & Huang, Jiazhou & Chen, Xiangfeng, 2024. "The information value of logistics platforms in a freight matching market," European Journal of Operational Research, Elsevier, vol. 312(1), pages 227-239.
    6. Xu, Song & Fang, Lei, 2020. "Partial credit guarantee and trade credit in an emission-dependent supply chain with capital constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    7. Wang, Jing & Wang, Kai & Li, Xiang & Zhao, Ruiqing, 2022. "Suppliers’ trade credit strategies with transparent credit ratings: Null, exclusive, and nonchalant provision," European Journal of Operational Research, Elsevier, vol. 297(1), pages 153-163.
    8. Ma, Cheng & Dai, Yuankang & Li, Zhongfei, 2022. "Financing format selection for electronic business platforms with a capital-constrained e-tailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    9. Wang, Chengfu & Chen, Xiangfeng & Jin, Wei & Fan, Xiaojun, 2022. "Credit guarantee types for financing retailers through online peer-to-peer lending: Equilibrium and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 297(1), pages 380-392.
    10. Zhi, Bangdong & Wang, Xiaojun & Xu, Fangming, 2022. "The effects of in-transit inventory financing on the capital-constrained supply chain," European Journal of Operational Research, Elsevier, vol. 296(1), pages 131-145.
    11. Li, Yanhai & Ou, Jinwen & Gu, Chaocheng, 2023. "Buyer guarantee and bailout in supplier finance with bankruptcy cost," European Journal of Operational Research, Elsevier, vol. 305(1), pages 287-299.
    12. Zhu, Xiaoyan & Cao, Yunzhi & Wu, Jinwei & Liu, He & Bei, Xiaoqiang, 2022. "Optimum operational schedule and accounts receivable financing in a production supply chain considering hierarchical industrial status and uncertain yield," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1142-1154.
    13. Gongbing Bi & Yalei Fei & Xiaoyong Yuan & Dong Wang, 2018. "Joint Operational and Financial Collaboration in a Capital-Constrained Supply Chain Under Manufacturer Collateral," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-23, June.
    14. Gu, Chaocheng & Wei, Juan & Wei, Ying, 2021. "Sourcing under competition: The implications of supplier capital constraint and supply chain co-opetition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    15. Zhi, Bangdong & Wang, Xiaojun & Xu, Fangming, 2020. "Impawn rate optimisation in inventory financing: A canonical vine copula-based approach," International Journal of Production Economics, Elsevier, vol. 227(C).
    16. Keyong Zhang & Chunxia Li & Jianming Yao, 2019. "Research on Operation and Financing Strategy of an Emission-Dependent Supply Chain under Variable Transportation Fee Strategy," Sustainability, MDPI, vol. 11(16), pages 1-30, August.
    17. Rath, Sambit Brata & Basu, Preetam & Mandal, Prasenjit & Paul, Samit, 2021. "Financing models for an online seller with performance risk in an E-commerce marketplace," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    18. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    19. Yang, Yang & Liu, Jie & Hu, Taizhong, 2023. "Capital allocation and pricing decisions under trade credit with time-sensitive stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    20. Michal Košíček & Radek Tesař & František Dařena & Roman Malo & Arnošt Motyčka, 2012. "Route planning module as a part of Supply Chain Management system," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(2), pages 135-142.

    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:15:y:2023:i:8:p:6874-:d:1127390. 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.