This study investigates a supply chain involving a financially capable automobile manufacturer with access to demand information and a resource-limited dealer. The well-capitalized manufacturer holds the authority to determine whether to provide dealer financing. If financing is not offered by the manufacturer, a wholesale price contract is executed, compelling the dealer to seek bank financing. Otherwise, if financing is provided, a trade credit contract is signed, and the dealer will typically opt for the manufacturer's seller financing scheme. By developing a signaling model, this paper analyzes the manufacturer's and the dealer's optimal financing strategies under scenarios of demand information symmetry and asymmetry. The findings show that the manufacturer is more inclined to provide financing, while the dealer's financing strategy is significantly influenced by its initial capital level, potentially leading to financing conflicts under information symmetry. Conversely, under information asymmetry, the financing decisions of both the manufacturer and dealer are considerably affected by market interest rates, further exacerbating financing conflicts within a certain range. Notably, the transformation in financing choices primarily stems from the inference effects induced by the manufacturer's transmission of demand signals, which have adverse effects on the manufacturer while benefiting the dealer.
Citation: Shanshan Xie, Jiamuyan Xie, Zhixian Zeng. To provide or not? The financing strategy in the automotive supply chain under asymmetric information[J]. Journal of Industrial and Management Optimization, 2026, 22(1): 754-775. doi: 10.3934/jimo.2026027
This study investigates a supply chain involving a financially capable automobile manufacturer with access to demand information and a resource-limited dealer. The well-capitalized manufacturer holds the authority to determine whether to provide dealer financing. If financing is not offered by the manufacturer, a wholesale price contract is executed, compelling the dealer to seek bank financing. Otherwise, if financing is provided, a trade credit contract is signed, and the dealer will typically opt for the manufacturer's seller financing scheme. By developing a signaling model, this paper analyzes the manufacturer's and the dealer's optimal financing strategies under scenarios of demand information symmetry and asymmetry. The findings show that the manufacturer is more inclined to provide financing, while the dealer's financing strategy is significantly influenced by its initial capital level, potentially leading to financing conflicts under information symmetry. Conversely, under information asymmetry, the financing decisions of both the manufacturer and dealer are considerably affected by market interest rates, further exacerbating financing conflicts within a certain range. Notably, the transformation in financing choices primarily stems from the inference effects induced by the manufacturer's transmission of demand signals, which have adverse effects on the manufacturer while benefiting the dealer.
| [1] |
Q. Zhang, L. Zhu, Y. Shi, M. Tu, V. Venkatesh, Exploring the impact of building an agile automotive supply chain ecosystem on business performance: A social media perspective, Int. J. Logist. Manag., 36 (2025), 322–345. https://doi.org/10.1108/IJLM-05-2023-0191 doi: 10.1108/IJLM-05-2023-0191
|
| [2] |
R. Lotfi, M. Bazregar, S. S. Ali, E. Farbod, S. Aghakhani, Z. R. Meymandi, Synergistic closed-loop supply chain network design by considering robustness, risk: An automotive case study, Eng. Rep., 7 (2025), e70010. https://doi.org/10.1002/eng2.70010 doi: 10.1002/eng2.70010
|
| [3] | CAAM, China's Automobile Production and Sales Report for December and the Full Year of 2024, 2025. Available from: http://www.caam.org.cn/chn/4/cate_30/list_2.html. |
| [4] |
D. Zhao, J. Wang, Y. Li, J. Tang, S. Zhang, How to promote the transition of fuel vehicle enterprises under dual credit policy? An improved tripartite evolutionary game analysis with time delay, Energy, 293 (2024), 130696. https://doi.org/10.1016/j.energy.2024.130696 doi: 10.1016/j.energy.2024.130696
|
| [5] | CPCA, Analysis of China's Passenger Car Market in 2024, 2025. Available from: https://www.cpcaauto.com/newslist.php?types = csjd & id = 3724. |
| [6] | CADA, The association has appealed to the government and submitted an emergency report on the problem of dealers' capital chains snapping under the "price war.", 2024. Available from: https://www.cada.cn/Trends/info_91_10058.html. |
| [7] |
S. Chen, H. Ma, Q. Wu, Bank credit and trade credit: Evidence from natural experiments, J. Bank. Finance, 108 (2019), 105616. https://doi.org/10.1016/j.jbankfin.2019.105616 doi: 10.1016/j.jbankfin.2019.105616
|
| [8] | CADA, Yongda Group has established a long-term strategic partnership with China Construction Bank, 2017. Available from: https://cada.cn/vip/info_40_6170.html. |
| [9] |
B. L. Del Gaudio, G. Sampagnaro, C. Porzio, V. Verdoliva, The signaling role of trade credit in bank lending decisions: Evidence from small and medium-sized enterprises, J. Bus. Finance Account., 49 (2022), 327–354. https://doi.org/10.1111/jbfa.12554 doi: 10.1111/jbfa.12554
|
| [10] |
D. Wu, B. Zhang, O. Baron, A trade credit model with asymmetric competing retailers, Prod. Oper. Manag., 28 (2019), 206–231. https://doi.org/10.1111/poms.12882 doi: 10.1111/poms.12882
|
| [11] |
C. J. Chen, N. Jain, S. A. Yang, The impact of trade credit provision on retail inventory: An empirical investigation using synthetic controls, Manage. Sci., 69 (2023), 4591–4608. https://doi.org/10.1287/mnsc.2022.4600 doi: 10.1287/mnsc.2022.4600
|
| [12] |
S. Deng, C. Gu, G. G. Cai, Y. Li, Financing multiple heterogeneous suppliers in assembly systems: Buyer finance vs. bank finance, Manuf. Serv. Oper. Manag., 20 (2018), 53–69. https://doi.org/10.1287/msom.2017.0677 doi: 10.1287/msom.2017.0677
|
| [13] |
P. Kouvelis, W. Zhao, Financing the newsvendor: Supplier vs. bank, and the structure of optimal trade credit contracts, Oper. Res., 60 (2012), 566–580. https://doi.org/10.1287/opre.1120.1040 doi: 10.1287/opre.1120.1040
|
| [14] |
Y. Wang, Q. Wang, J. Shi, Demand forecast information sharing in low-carbon supply chains, Sustainability, 16 (2024), 9056. https://doi.org/10.3390/su16209056 doi: 10.3390/su16209056
|
| [15] |
W. Bao, J. Ni, S. Singh, Informal lending in emerging markets, Mark. Sci., 37 (2018), 123–137. https://doi.org/10.1287/mksc.2017.1061 doi: 10.1287/mksc.2017.1061
|
| [16] |
L. Guo, Upstream exploitation and strategic disclosure, Mark. Sci., 39 (2020), 923–938. https://doi.org/10.1287/mksc.2019.1216 doi: 10.1287/mksc.2019.1216
|
| [17] |
L. Guo, G. Iyer, Information acquisition and sharing in a vertical relationship, Mark. Sci., 29 (2010), 483–506. https://doi.org/10.1287/mksc.1090.0534 doi: 10.1287/mksc.1090.0534
|
| [18] |
F. Caldieraro, J. Z. Zhang, M. Cunha Jr, J. D. Shulman, Strategic information transmission in peer-to-peer lending markets, J. Mark., 82 (2018), 42–63. https://doi.org/10.1509/jm.16.0113 doi: 10.1509/jm.16.0113
|
| [19] |
Z. Yao, M. Gendreau, M. Li, L. Ran, Z. Wang, Service operations of electric vehicle carsharing systems from the perspectives of supply and demand: A literature review, Transp. Res. Part C Emerg. Technol., 140 (2022), 103702. http://dx.doi.org/10.1016/j.trc.2022.103702 doi: 10.1016/j.trc.2022.103702
|
| [20] |
K. Fu, C. Wang, J. Xu, The impact of trade credit on information sharing in a supply chain, Omega, 110 (2022), 102633. http://dx.doi.org/10.1016/j.omega.2021.102633 doi: 10.1016/j.omega.2021.102633
|
| [21] |
G. Kong, S. Rajagopalan, H. Zhang, Revenue sharing and information leakage in a supply chain, Manage. Sci., 59 (2013), 556–572. https://doi.org/10.1287/mnsc.1120.1627 doi: 10.1287/mnsc.1120.1627
|
| [22] |
B. Jiang, L. Tian, Y. Xu, F. Zhang, To share or not to share: Demand forecast sharing in a distribution channel, Mark. Sci., 35 (2016), 800–809. https://doi.org/10.1287/mksc.2016.0981 doi: 10.1287/mksc.2016.0981
|
| [23] |
P. Arca, G. Atzeni, L. Deidda, The signaling role of trade credit: Evidence from a counterfactual analysis, J. Corp. Finance, 80 (2023), 102414. http://dx.doi.org/10.1016/j.jcorpfin.2023.102414 doi: 10.1016/j.jcorpfin.2023.102414
|
| [24] |
S. K. Goyal, Economic order quantity under conditions of permissible delay in payments, J. Oper. Res. Soc., 36 (1985), 335–338. https://doi.org/10.1057/jors.1985.56 doi: 10.1057/jors.1985.56
|
| [25] |
M. Protopappa-Sieke, R. W. Seifert, Interrelating operational and financial performance measurements in inventory control, Eur. J. Oper. Res., 204 (2010), 439–448. https://doi.org/10.1016/j.ejor.2009.11.001 doi: 10.1016/j.ejor.2009.11.001
|
| [26] |
B. Jing, X. Chen, G. Cai, Equilibrium financing in a distribution channel with capital constraint, Prod. Oper. Manag., 21 (2012), 1090–1101. https://doi.org/10.1111/j.1937-5956.2012.01328.x doi: 10.1111/j.1937-5956.2012.01328.x
|
| [27] |
X. Chen, A model of trade credit in a capital-constrained distribution channel, Int. J. Prod. Econ., 159 (2015), 347–357. https://doi.org/10.1016/j.ijpe.2014.05.001 doi: 10.1016/j.ijpe.2014.05.001
|
| [28] |
S. A. Yang, J. R. Birge, Trade credit, risk sharing, and inventory financing portfolios, Manage. Sci., 64 (2018), 3667–3689. https://doi.org/10.1287/mnsc.2017.2799 doi: 10.1287/mnsc.2017.2799
|
| [29] |
H. Zhang, W. Jiang, J. Mu, X. Cheng, Optimizing supply chain financial strategies vased on data elements in the China's retail industry: Towards sustainable development, Sustainability, 17 (2025), 2207. https://doi.org/10.3390/su17052207 doi: 10.3390/su17052207
|
| [30] |
Z. Wang, L. Qi, Y. Zhang, Z. Liu, A trade-credit-based incentive mechanism for a risk-averse retailer with private information, Comput. Ind. Eng., 154 (2021), 107101. https://doi.org/10.1016/j.cie.2021.107101 doi: 10.1016/j.cie.2021.107101
|
| [31] |
Y. Cao, Q. Wang, The informational role of guarantee contracts, Eur. J. Oper. Res., 301 (2022), 191–202. https://doi.org/10.1016/j.ejor.2021.10.022 doi: 10.1016/j.ejor.2021.10.022
|
| [32] |
G. P. Cachon, M. Fisher, Supply chain inventory management and the value of shared information, Manage. Sci., 46 (2000), 1032–1048. https://doi.org/10.1287/mnsc.46.8.1032.12029 doi: 10.1287/mnsc.46.8.1032.12029
|
| [33] |
Z. Li, S. M. Gilbert, G. Lai, Supplier encroachment under asymmetric information, Manage. Sci., 60 (2014), 449–462. https://doi.org/10.1287/mnsc.2013.1780 doi: 10.1287/mnsc.2013.1780
|
| [34] |
S. Wang, H. Gurnani, U. Subramanian, The informational role of buyback contracts, Manage. Sci., 67 (2021), 279-296. https://doi.org/10.1287/mnsc.2019.3552 doi: 10.1287/mnsc.2019.3552
|
| [35] |
J. Xie, Information sharing in a supply chain with asymmetric competing retailers, Sustainability, 14 (2022), 12848. https://doi.org/10.3390/su141912848 doi: 10.3390/su141912848
|
| [36] |
Y. F. Huang, Optimal retailer's ordering policies in the EOQ model under trade credit financing, J. Oper. Res. Soc., 54 (2003), 1011–1015. https://doi.org/10.1057/palgrave.jors.2601588 doi: 10.1057/palgrave.jors.2601588
|
| [37] |
J. T. Teng, Optimal ordering policies for a retailer who offers distinct trade credits to its good and bad credit customers, Int. J. Prod. Econ., 119 (2009), 415–423. https://doi.org/10.1016/j.ijpe.2009.04.004 doi: 10.1016/j.ijpe.2009.04.004
|
| [38] |
J. Miemczyk, M. Holweg, Building cars to customer order-what does it mean for inbound logistics operations? J. Bus. Logist., 25 (2004), 171–197. https://doi.org/10.1002/j.2158-1592.2004.tb00186.x doi: 10.1002/j.2158-1592.2004.tb00186.x
|
| [39] |
J. K. Smith, Trade credit and informational asymmetry, J. Finance, 42 (1987), 863–872. https://doi.org/10.1111/j.1540-6261.1987.tb03916.x doi: 10.1111/j.1540-6261.1987.tb03916.x
|
| [40] |
W. Zhou, T. Lin, G. Cai, Guarantor financing in a four-party supply chain game with leadership influence, Prod. Oper. Manag., 29 (2020), 2035–2056. https://doi.org/10.1111/poms.13196 doi: 10.1111/poms.13196
|
| [41] |
I. K. Cho, D. M. Kreps, Signaling games and stable equilibria, Q. J. Econ., 102 (1987), 179–221. https://doi.org/10.2307/1885060 doi: 10.2307/1885060
|
| [42] |
S. Xie, J. Xie, Demand information asymmetry and supply chain financing: A signaling perspective, Mathematics, 13 (2025), 1288. https://doi.org/10.3390/math13081288 doi: 10.3390/math13081288
|
| [43] |
C. Erceg, A. Levin, Optimal monetary policy with durable consumption goods, J. Monet. Econ., 53 (2006), 1341–1359. https://doi.org/10.1016/j.jmoneco.2005.05.005 doi: 10.1016/j.jmoneco.2005.05.005
|
| [44] |
D. Acemoglu, A. Scott, Consumer confidence and rational expectations: Are agents' beliefs consistent with the theory? Econ. J., 104 (1994), 1–19. https://doi.org/10.2307/2234671 doi: 10.2307/2234671
|
| [45] |
E. Gal-Or, T. Geylani, A. J. Dukes, Information sharing in a channel with partially informed retailers, Mark. Sci., 27 (2008), 642–658. https://doi.org/10.1287/mksc.1070.0316 doi: 10.1287/mksc.1070.0316
|
| [46] |
E. Cao, G. Chen, Information sharing motivated by production cost reduction in a supply chain with downstream competition, Nav. Res. Logist., 68 (2021), 898–907. https://doi.org/10.1002/nav.21977 doi: 10.1002/nav.21977
|
| [47] |
B. Li, L. Deng, J. Zhang, X. Deng, A cross-multi-domain trust assessment authority delegation method based on automotive industry chain, Comput. Mater. Contin., 82 (2025). https://doi.org/10.32604/cmc.2024.056730 doi: 10.32604/cmc.2024.056730
|
| [48] |
Y. Liao, X. Kong, L. Yin, Y. Gao, X. Dong, An industrial dataspace for automotive supply chain: Secure data sharing based on data association relationship, J. Ind. Inf. Integr., 44 (2025), 100778. http://dx.doi.org/10.1016/j.jii.2025.100778 doi: 10.1016/j.jii.2025.100778
|
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