IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v137y2012i1p55-67.html
   My bibliography  Save this article

Supply chain networks with corporate financial risks and trade credits under economic uncertainty

Author

Listed:
  • Liu, Zugang
  • Cruz, Jose M.

Abstract

The focus of this paper is to provide an analytical framework which can be used to investigate how financial risks affect the values of interconnected supply chain firms from a network perspective, and how financial risks affect the supply chain firms' profitability as well as the cash and credit transactions. In particular, we develop a variational inequality equilibrium model in conjunction with capital asset pricing model (CAPM) and the net present value (NPV) to determine the optimal supply chain prices, profits, and implicit equity values of supply chain firms under financial risks and economic uncertainty. We illustrate the analytical framework with computational studies which yield interesting managerial implications to the following questions: (1) How do financial risks and economic uncertainty affect the values of interconnected supply chain firms from a network perspective? (2) How do financial risks and economic uncertainty affect the supply chain firms' profitability as well as the cash and credit transactions? (3) How does the effect of financial risks change under different competition scenarios?

Suggested Citation

  • Liu, Zugang & Cruz, Jose M., 2012. "Supply chain networks with corporate financial risks and trade credits under economic uncertainty," International Journal of Production Economics, Elsevier, vol. 137(1), pages 55-67.
    • Handle: RePEc:eee:proeco:v:137:y:2012:i:1:p:55-67
    DOI: 10.1016/j.ijpe.2012.01.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552731200014X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2012.01.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Petersen, Mitchell A & Rajan, Raghuram G, 1997. "Trade Credit: Theories and Evidence," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 661-691.
    2. Ho, Chia-Huei & Ouyang, Liang-Yuh & Su, Chia-Hsien, 2008. "Optimal pricing, shipment and payment policy for an integrated supplier-buyer inventory model with two-part trade credit," European Journal of Operational Research, Elsevier, vol. 187(2), pages 496-510, June.
    3. Cruz, Jose M. & Wakolbinger, Tina, 2008. "Multiperiod effects of corporate social responsibility on supply chain networks, transaction costs, emissions, and risk," International Journal of Production Economics, Elsevier, vol. 116(1), pages 61-74, November.
    4. Nagurney, Anna & Ke, Ke, 2006. "Financial networks with intermediation: Risk management with variable weights," European Journal of Operational Research, Elsevier, vol. 172(1), pages 40-63, July.
    5. Zugang Liu & Anna Nagurney, 2007. "Financial Networks with Intermediation and Transportation Network Equilibria: A Supernetwork Equivalence and Reinterpretation of the Equilibrium Conditions with Computations," Computational Management Science, Springer, vol. 4(3), pages 243-281, July.
    6. Daning Sun & Maurice Queyranne, 2002. "Production and Inventory Model Using Net Present Value," Operations Research, INFORMS, vol. 50(3), pages 528-537, June.
    7. Chee K. Ng & Janet Kiholm Smith & Richard L. Smith, 1999. "Evidence on the Determinants of Credit Terms Used in Interfirm Trade," Journal of Finance, American Finance Association, vol. 54(3), pages 1109-1129, June.
    8. Anna Nagurney & Kanwalroop Kathy Dhanda, 2000. "Marketable Pollution Permits in Oligopolistic Markets with Transaction Costs," Operations Research, INFORMS, vol. 48(3), pages 424-435, June.
    9. Smith, Janet Kiholm, 1987. "Trade Credit and Informational Asymmetry," Journal of Finance, American Finance Association, vol. 42(4), pages 863-872, September.
    10. Yang, Gino & Ronald, Robert J. & Chu, Peter, 2005. "Inventory models with variable lead time and present value," European Journal of Operational Research, Elsevier, vol. 164(2), pages 358-366, July.
    11. Wee, Hui-Ming & Law, Sh-Tyan, 2001. "Replenishment and pricing policy for deteriorating items taking into account the time-value of money," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 213-220, May.
    12. Nagurney, Anna, 2010. "Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction," International Journal of Production Economics, Elsevier, vol. 128(1), pages 200-208, November.
    13. Huang, Yung-Fu & Hsu, Kuang-Hua, 2008. "An EOQ model under retailer partial trade credit policy in supply chain," International Journal of Production Economics, Elsevier, vol. 112(2), pages 655-664, April.
    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. Jinlong Chen & Weipeng Wu & Yiqun Zhuang, 2023. "Impact of Digital Supply Chain on Sustainable Trade Credit Provision: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    2. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
    3. Zhang, Faming & Tadikamalla, Pandu R. & Shang, Jennifer, 2016. "Corporate credit-risk evaluation system: Integrating explicit and implicit financial performances," International Journal of Production Economics, Elsevier, vol. 177(C), pages 77-100.
    4. Zhao, Jun & Shahbaz, Muhammad & Dong, Xiucheng & Dong, Kangyin, 2021. "How does financial risk affect global CO2 emissions? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Chern, Maw-Sheng & Pan, Qinhua & Teng, Jinn-Tsair & Chan, Ya-Lan & Chen, Sheng-Chih, 2013. "Stackelberg solution in a vendor–buyer supply chain model with permissible delay in payments," International Journal of Production Economics, Elsevier, vol. 144(1), pages 397-404.
    6. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic supplier investment: A real options perspective," International Journal of Production Economics, Elsevier, vol. 208(C), pages 184-198.
    7. Bian, Yuan & Lemoine, David & Yeung, Thomas G. & Bostel, Nathalie & Hovelaque, Vincent & Viviani, Jean-laurent & Gayraud, Fabrice, 2018. "A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity," International Journal of Production Economics, Elsevier, vol. 196(C), pages 319-332.
    8. Han, Xiaoya & Liu, Xin, 2020. "Equilibrium decisions for multi-firms considering consumer quality preference," International Journal of Production Economics, Elsevier, vol. 227(C).
    9. Yu, Yugang & Han, Xiaoya & Hu, Guiping, 2016. "Optimal production for manufacturers considering consumer environmental awareness and green subsidies," International Journal of Production Economics, Elsevier, vol. 182(C), pages 397-408.
    10. Dawei Lu & Yi Ding & Sobhan Asian & Sanjoy Kumar Paul, 2018. "From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 3-20, March.
    11. Liming Zhao & Ling Li & Yao Song & Cong Li & Yujie Wu, 2018. "Research on Pricing and Coordination Strategy of a Sustainable Green Supply Chain with a Capital-Constrained Retailer," Complexity, Hindawi, vol. 2018, pages 1-12, January.
    12. Anna Trunk & Hendrik Birkel, 2022. "No Resilience Without Partners: A Case Study on German Small and Medium-Sized Enterprises in the Context of COVID-19," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 537-574, December.
    13. Zhi Li & Guanghao Jin & Shen Duan, 2018. "Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-10, October.
    14. Bogataj, David & Battini, Daria & Calzavara, Martina & Persona, Alessandro, 2019. "The ageing workforce challenge: Investments in collaborative robots or contribution to pension schemes, from the multi-echelon perspective," International Journal of Production Economics, Elsevier, vol. 210(C), pages 97-106.
    15. Soumyatanu Mukherjee & Sidhartha S. Padhi, 2022. "Sourcing decision under interconnected risks: an application of mean–variance preferences approach," Annals of Operations Research, Springer, vol. 313(2), pages 1243-1268, June.
    16. Wu, Desheng & Olson, David L. & Wang, Shouyang, 2019. "Finance-operations interface mechanism and models," Omega, Elsevier, vol. 88(C), pages 1-3.
    17. Ha Ta & Terry L. Esper & Kenneth Ford & Sebastian Garcia‐Dastuge, 2018. "Trustworthiness Change and Relationship Continuity after Contract Breach in Financial Supply Chains," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(4), pages 42-61, October.
    18. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    19. Anna Nagurney, 2021. "A Multiperiod Supply Chain Network Optimization Model with Investments in Labor Productivity Enhancements in an Era of COVID-19 and Climate Change," SN Operations Research Forum, Springer, vol. 2(4), pages 1-22, December.
    20. Dong Li & Anna Nagurney, 2017. "Supply chain performance assessment and supplier and component importance identification in a general competitive multitiered supply chain network model," Journal of Global Optimization, Springer, vol. 67(1), pages 223-250, January.
    21. Zugang Liu, 2013. "The co-evolution of integrated corporate financial networks and supply chain networks with insolvency risk," Computational Management Science, Springer, vol. 10(2), pages 253-275, June.

    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. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
    2. Yong Zha & Kehong Chen & Xiaohang Yue & Yugang Yu & Samar Mukhopadhyay, 2019. "Trade credit contract in the presence of retailer investment opportunity," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(4), pages 283-296, June.
    3. Zugang Liu, 2013. "The co-evolution of integrated corporate financial networks and supply chain networks with insolvency risk," Computational Management Science, Springer, vol. 10(2), pages 253-275, June.
    4. Yoshiro Miwa & J. Mark Ramseyer, 2005. "Trade Credit, Bank Loans, and Monitoring: Evidence from Japan," CARF F-Series CARF-F-054, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. Cull, Robert & Xu, Lixin Colin & Zhu, Tian, 2009. "Formal finance and trade credit during China's transition," Journal of Financial Intermediation, Elsevier, vol. 18(2), pages 173-192, April.
    6. Felipe Restrepo & Lina Cardona‐Sosa & Philip E. Strahan, 2019. "Funding Liquidity without Banks: Evidence from a Shock to the Cost of Very Short‐Term Debt," Journal of Finance, American Finance Association, vol. 74(6), pages 2875-2914, December.
    7. Afrifa, Godfred & Tingbani, Ishmael, 2017. "Working Capital Management, Cash Flow and SMEs’ Performance," MPRA Paper 82894, University Library of Munich, Germany, revised Oct 2017.
    8. Xiao Li & Jeffrey Ng & Walid Saffar, 2021. "Financial Reporting and Trade Credit: Evidence from Mandatory IFRS Adoption," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 96-128, March.
    9. Tsuruta, Daisuke & Uchida, Hirofumi, 2019. "The real driver of trade credit," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    10. D'Mello, Ranjan & Toscano, Francesca, 2020. "Economic policy uncertainty and short-term financing: The case of trade credit," Journal of Corporate Finance, Elsevier, vol. 64(C).
    11. Massimo Omiccioli, 2005. "Trade Credit as Collateral," Temi di discussione (Economic working papers) 553, Bank of Italy, Economic Research and International Relations Area.
    12. Grau, Alfredo Juan & Reig, Araceli, 2018. "Trade credit and determinants of profitability in Europe. The case of the agri-food industry," International Business Review, Elsevier, vol. 27(5), pages 947-957.
    13. Alvaro Garcia-Marin & Santiago Justel & Tim Schmidt-Eisenlohr, 2019. "Trade Credit, Markups, and Relationships," CESifo Working Paper Series 7600, CESifo.
    14. P. Beaumont, 2017. "Time is Money: Cash-Flow Risk and Export Market Behavior," Documents de Travail de l'Insee - INSEE Working Papers g2017-10, Institut National de la Statistique et des Etudes Economiques.
    15. Leora Klapper & Luc Laeven & Raghuram Rajan, 2012. "Trade Credit Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 25(3), pages 838-867.
    16. Pierluigi Murro & Valentina Peruzzi, 2022. "Relationship lending and the use of trade credit: the role of relational capital and private information," Small Business Economics, Springer, vol. 59(1), pages 327-360, June.
    17. Douglas A. Bosse & Tom Arnold, 2009. "Trade credit: a real option for bootstrapping small firms," Venture Capital, Taylor & Francis Journals, vol. 12(1), pages 49-63, September.
    18. Paul, Salima & Boden, Rebecca, 2008. "The secret life of UK trade credit supply: Setting a new research agenda," The British Accounting Review, Elsevier, vol. 40(3), pages 272-281.
    19. Lee, Chang Hwan & Rhee, Byong-Duk, 2011. "Trade credit for supply chain coordination," European Journal of Operational Research, Elsevier, vol. 214(1), pages 136-146, October.
    20. Singh, Ramendra Pratap & Singh, Ramendra & Mishra, Prashant, 2021. "Does managing customer accounts receivable impact customer relationships, and sales performance? An empirical investigation," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).

    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:eee:proeco:v:137:y:2012:i:1:p:55-67. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.