Abstract
The paper investigates the impacts of trade credit (i.e., open account payment) and limited liability on the performance of a two-level supply chain with budget constraints. It shows that limited liability accounts for the reason why the retailer with a lower initial budget initiates a higher ordering level under trade credit contract. Furthermore, this paper finds that trade credit contract could create value in a supply chain with budget constraints, and partly coordinate the supply chain.
Similar content being viewed by others
Notes
See, Bayer Material Science APAC, Tailed Service Guidelines and Payment Terms, in 2008, http://bhks10.ap.bayer.cnb/GC/HK/common/Comguide.nsf.
See, e.g., Gerchak and Wang (2004). We also performed another analysis on the case where p is not normalized to one. The analysis shows that our qualitative results hold regardless of the normalization.
References
Atanasova, C. V., & Wilson, N. (2003). Bank borrowing constraints and the demand for trade credit: evidence from panel data. Managerial and Decision Economics, 24, 503–514.
Biais, B., & Gollier, C. (1997). Trade credit and credit rationing. The Review of Financial Studies, 10, 903–937.
Brennan, M., Miksimovic, V., & Zechner, J. (1988). Vendor financing. The Journal of Finance, 43, 1127–1141.
Burkart, M., & Ellingsen, T. (2004). In-kind finance: a theory of trade credit. American Economic Review, 94, 569–590.
Cachon, G. (2003). Supply chain coordination with contracts. In S. Graves & T. de Kok (Eds.), Handbooks in operations research and management science: supply chain management. Amsterdam: North-Holland.
Cachon, G. P., & Lariviere, M. A. (2005). Supply chain coordination with revenue-sharing contracts: strengths and limits. Management Science, 51, 30–44.
Chen, X., & Wan, G. (2011). The effect of financing service on a budget-constrained supply chain. Asia-Pacific Journal of Operational Research, 28, 457–485.
Desai, P. S., & Srinivasan, K. (1995). Demand signalling under unobservable effect in franchising: linear and nonlinear price contracts. Management Science, 41, 1303–1314.
Emery, G. W. (1987). An optimal financial response to variable demand. Journal of Financial and Quantitative Analysis, 22, 209–225.
Ferris, J. S. (1981). A transactions theory of trade credit use. The Quarterly Journal of Economics, 96, 243–270.
Fisman, R. (2001). Trade credit and productive efficiency in developing countries. World Development, 29, 311–321.
Gerchak, Y., & Wang, Y. (2004). Revenue-sharing vs. wholesale-price contract in assembly systems with random demand. Production and Operations Management, 13, 23–33.
Gerstner, E., & Hess, J. D. (1995). Pull promotions and channel coordination. Marketing Science, 14, 43–60.
Graves, S., & de Kok, T. (2003). Handbooks in operations research and management science: supply chain management. Amsterdam: North-Holland, Elsevier.
Hadley, G., & Whitin, T. (1963). Analysis of inventory system. New York: Prentice-Hill.
Ingene, C. A., & Parry, M. E. (1995). Channel coordination when retailer compete. Marketing Science, 14, 360–377.
Jeuland, A. P., & Shugan, S. M. (1983). Management channel profits. Marketing Science, 2, 239–272.
Lal, R. (1990). Improving channel coordination through franchising. Marketing Science, 1, 299–318.
Lariviere, M. A., & Porteus, E. L. (2001). Selling to the newsvendor: an analysis of price-only contracts. Manufacturing & Service Operations Management, 3, 293–305.
Lee, Y. W., & Stowe, J. D. (1993). Product risk, asymmetric information, and trade credit. Journal of Financial and Quantitative Analysis, 28, 285–300.
Mian, S. L., & Smith, C. W. Jr. (1992). Accounts receivable management policy: theory and evidence. The Journal of Finance, 47, 169–200.
Modigliani, F., & Miller, M. H. (1958). The cost of capital, corporation finance, and the theory of investment. American Economic Review, 48, 261–297.
Moorthy, K. S. (1987). Managing channel profits: comment. Marketing Science, 6, 375–379.
Padmandabhan, V., & Png, I. P. (1997). Manufacturer’s returns policies and retail competition. Marketing Science, 16, 81–94.
Pasternack, B. A. (1985). Optimal pricing and return policies for perishable commodities. Marketing Science, 4, 166–176.
Petersen, M. A., & Rajan, R. G. (1994). The benefits of lending relationships: evidence from small business data. The Journal of Finance, 49, 2–37.
Petersen, M. A., & Rajan, R. G. (1997). Trade credit: theories and evidence. The Review of Financial Studies, 10, 661–692.
Simchi-Levi, D., Wu, S. D., & Shen, Z. (2004). Handbook of quantitative supply chain analysis: modeling in the ebusiness era. New York: Kluwer Academic.
Smith, J. K. (1987). Trade credit and information asymmetry. The Journal of Finance, 23, 863–872.
Spengler, J. (1950). Vertical integration and antitrust policy. Journal of Political Economy, 58, 347–352.
Weng, Z.K. (1995). Channel coordination and quantity discounts. Management Science, 41, 1509–1522.
Wilner, B.S. (2000). The exploitation of relationships in financial distress: the case of trade credit. The Journal of Finance, 55, 153–178.
Acknowledgements
The authors are grateful to Editor Boros and the anonymous referees for their very valuable comments and suggestions. The first author acknowledges support from NSF of China (70972046, 71172039), and NCET program (NCET-10-0340). The second author acknowledges support from 985 funds of Fudan University (2012SHKXYB004) and NSFC (71171059).
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Proof of Proposition 1
Part 1. Let \(\pi^{R}(Q)\equiv \mathbb{E} [(\min[D,Q]-(wQ-B))^{+}-B ]\). Then
Differentiating π R with respect to Q and collecting terms, we have
The retailer’s optimal ordering level, Q ∗, must satisfy the first-order condition:
We further have
Since h is an increasing function by Assumption A1, we have h(Q ∗)>h(wQ ∗−B). Therefore, \(\frac{d^{2}\pi^{R}(Q)}{d(Q)^{2}}|_{Q=Q^{*}}<0\) and Q ∗ is thus unique.
Part 2. Inspection of \(\bar{F}(Q^{*})=w\bar{F}(wQ^{*}-B)\) readily reveals that
Then, we can show that Q ∗ is decreasing in B. We further show that \(\frac{dQ^{*}}{dw}<0\). Let
Because of \(\frac{dQ^{*}}{dw}=-\frac{dG(Q^{*},w,B)}{dw}/\frac{dG(Q^{*},w,B)}{dQ^{*}}\) and \(\frac{dwQ^{*}}{dw}=Q^{*}+w\frac{dQ^{*}}{dw}\), we obtain
Suppose \(\frac{dQ^{*}}{dw}\geq 0\). Then wQ ∗ and Q ∗ h(Q ∗) are increasing in w. Let w 0 satisfy 1−Q ∗(w 0)h(Q ∗(w 0))=0. We have \(\frac{dQ^{*}}{dw}<0\) when w<w 0 and \(\frac{dQ^{*}}{dw}>0\) when w>w 0. That means that wQ achieves its minimum at w 0. Recall that under trade credit contract the feasible region of wholesale price is (c,1). The remaining proof splits into three cases.
-
Case A: w 0≥1. In this case,
$$Q^*(w)h\bigl(Q^*(w)\bigr)\leq Q^*(1)h\bigl(Q^*(1)\bigr)\leq Q^*(w_0)h\bigl(Q^*(w_0)\bigr)=1$$which implies that \(\frac{dwQ^{*}}{dw}\leq 0\). A contradiction.
-
Case B: c<w 0<1. We have wQ ∗ being decreasing in w over (c,w 0). Again, a contradiction.
-
Case C: w 0=c. In this case, we have
$$wQ^*(c)h\bigl(wQ^*(c)-B\bigr)<Q^*(c)h\bigl(Q^*(c)\bigr)=1$$because w<1 and B≥0 by assumption. Since we suppose \(\frac{dQ^{*}}{dw}\geq 0\), we also obtain wQ ∗ h(wQ ∗−B)≥1, a contradiction to the inequality above.
We have reached a contradiction in each of the three cases. Therefore, we must have \(\frac{dQ^{*}}{dw}<0\). □
Proof of Proposition 2
First, we need to proof Πs(w) is a unimodal function of w∈[c,p], where p=1.
In (9), we can show that \(\frac{d\Pi^{S}}{dw}=\frac{[1-wQ^{*}h(wQ^{*}-B)]}{-w[h(Q^{*})-wh(wQ^{*}-B)]}<0\).
Let \(\varepsilon(w)=\frac{\bar{F}(Q^{*})[1-H(Q^{*})]}{1-wQ^{*}h(wQ^{*}-B)}\), then the sign of \(\frac{d\Pi^{S}}{dw}\) depends on that of [ε(w)−c]. Let w 0 satisfies 1−H(Q ∗)=0. When w<w 0, we have ε(w)<0 and thus \(\frac{d\Pi^{S}}{dw}>0\). When w>w 0, we have ε>0.
Next, we aim to show that ε(w) is an increasing function when w>w 0. We have
where Q≡Q ∗, \(H'(D)\equiv\frac{dH(D)}{dD}>0\), \(Q'\equiv \frac{dQ^{*}}{dw}\), to simplify notation.
Therefore, ε(w) is an increasing function when w>w 0. Let \(\hat{w}\) solves ε(w)=c. This further implies that \(\frac{d\Pi^{S}}{dw}>0\) when \(w<\hat{w}\), \(\frac{d\Pi^{S}}{dw}=0\) when \(w=\hat{w}\) and \(\frac{d\Pi^{S}}{dw}<0\) when \(w>\hat{w}\). And, w=c, we can get ε<c, and \(\frac{d\Pi^{S}}{dw}>0\); Alternatively, w=c, we can get ε>c, and \(\frac{d\Pi^{S}}{dw}<0\). Therefore, we can conclude that ΠS(w) is a unimodal function of w∈[c,1]. Given the feasible region for \(w\in[\underline{w},\bar{w}]\), as a consequence, we can show that the optimal solution for the supplier, w ∗, is equivalent to \(\min[\max[\underline{w},\hat{w}],\bar{w}]\). Then, the proof is well done. □
Rights and permissions
About this article
Cite this article
Chen, X., Wang, A. Trade credit contract with limited liability in the supply chain with budget constraints. Ann Oper Res 196, 153–165 (2012). https://doi.org/10.1007/s10479-012-1119-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-012-1119-0