Trade credit financing for supply chain coordination under financial challenges:a multi‑leader–follower game approach

This study is designed to solve supply chain inefficiencies caused by some members’financial problems,such as capital shortages and financing restrictions in a stochastic environment.To this end,we have established a supply chain finance framework by designing two novel coordinating contracts based on trade credit financing for different problem settings.These contracts are modeled in the form of multi-leader Stackelberg games that address horizontal and vertical competition in a supply chain consisting of multiple suppliers and a financially constrained manufacturer.However,previous studies in the trade credit literature have addressed only simple vertical competition,that is,seller-buyer competition.To solve the proposed models,two algorithms were developed by combining population-based metaheuristics,the Nash-domination concept,and the Nikaido-Isoda function.The results demonstrate that the proposed supply chain finance framework can eliminate supply chain inefficiencies and make a large profit for suppliers,as well as the financially constrained manufacturer.Furthermore,the results of the contracts’analysis showed that if the manufacturer is required to settle its payments to suppliers before the end of the period,the trade credit contract cannot coordinate the supply chain because of a lack of incentive for suppliers.However,if the manufacturer is allowed to extend its payments to the end of the period,the proposed trade credit financing contract can coordinate the supply chain.Finally,the sensitivity analysis results indicate that the worse the financial status of the manufacturer,the more bargaining power suppliers have in determining the contract parameters for more profit.

Determining threshold default risk criterion for trade credit granting

To solve the problem of setting threshold default risk criterion to select retailer eligible for trade credit granting, a novel method of solving simultaneous equations is proposed. This method is based on the bilevel programming modeling of trade credit decisions as an interaction between supplier and retailer. First, the bilevel programming is set up where the supplier decides on credit terms at the top level considering a retailer's default risk, and the retailer determines the order quantity at the lower level in response to the credit terms offered. By solving this bilevel programming, the relationship between the optimal terms and the corresponding default risk can be derived. Second, set the extreme scenario where the threshold default risk is approached as the point causing a zero marginal profit to the supplier. Another equation describing this particular scenario can also be derived. Thus, a system of two equations with two unknown variables can be obtained where the exact threshold default risk criterion can be found by solving them. A numerical example is presented as an illustration of the method proposed. It shows that the threshold criterion can be uniquely determined when the financial costs, inventory costs, and the marketing parameters of supplier and buyer are specified.

Optimal Trade Credit Policy for Supplier under Asymmetric Information in the Supply Chain

Most papers about trade credit in supply chain studied retailer's inventory policy based on information shared.Few papers paid attention to supplier's trade credit policy under asymmetric information.So this paper tries to propose supplier's optimal trade credit policy to reveal retailer's private information.The aim is achieved by developing an incentive model with revelation principle.The retailer's private information can be found out through this trade credit policy.This contract is more general than the wholesale price contract.For the retailer's private information,the order quantity and ratio of delay in payment are distorted.Sensitivity analysis shows that the contract is influenced by sales ability and discount rate.Finally,the indirect mechanism with the same effect is proposed to make it easy to be put into practice.

Optimal Policy for EOQ Model with Two Level of Trade Credits in One Replenishment Cycle

In general, a supplier/retailer frequently offer trade credit to stimulate their respective sales. The main purpose of this paper is to investigate the optimal supplier/retailer’s replenishment decisions under two levels of trade credit policy within the economic order quantity (EOQ) framework. This paper deals with the supplier/retailer’s inventory replenishment problem under two levels of trade credit in one replenishment cycle. A different approach of two levels of trade credit is used, which give more freedom to the supplier/retailer in business. In addition, the easy-to-use procedure is developed to efficiently find the optimal cycle time for the retailer under minimizing annual total relevant cost. Finally, a numerical example is given to illustrate these results.

EPQ model with the effect of inflation and reliability for partial trade credit under fuzzy and cloudy fuzzy environment

The proposed study offers the first-of-its-kind economic production quantity model for deteriorating items having a demand rate to be price dependent under the effect of inflation and reliability with partial trade credit.The model is extended under an uncertain environment by assuming inventory parameters to be triangular fuzzy numbers and cloudy triangular fuzzy numbers.The objective of the study is to maximize the profit of the inventory system and to identify the most suitable environment for the proposed problem.Results are verified using the numerical study.Furthermore,the comparative study is presented to justify the nature of fuzzy and cloudy fuzzy environments.Sensitivity analysis under all environments is conducted to identify the most sensitive parameters of all.

Optimizing order policy and credit term for items with inventory-level-dependent demand under trade credit limit

Under the combined effects of inventory-level-dependent demand(ILDD)and trade credit,the retailer is able to order more quantities to stimulate market demand.However,from the supplier's perspective,two important issues are lacking sufficient attention.First,during the credit period,the retailer's higher order quantities imply increases in both the retailer's account payable and the supplier's opportunity cost of capital.Second,given the supplier's fixed production rate,the increased market demand may drive the capacity utilization to be variable.Thus,by formulating a supplier-dominated system,this paper incorporates trade credit limit(TCL)to address its effects on optimal policies vis-a-vis the item with ILDD.Specifically,three indicators can be proposed to reveal which type of financing policy the retailer should choose.Moreover,based on TCL,the supplier can effectively manage the retailer's order quantity and the corresponding account payable.Additionally,the retailer's maximum allowable order quantity is developed to ensure that the supplier can supply the retailer's order quantity on time.Furthermore,when the effects of ILDD become more significant,the manufacturer will reduce the maximum allowable order quantity to control the retailer's order incentive.

Decaying items inventory models with partial linked-to-order upstream trade credit and downstream full trade credit

In practice,any member of supply chain may offer full or partial trade credit contract to his downstream level.Full trade credit is the case that the latter is allowed to defer whole payment to the end of credit period.In partial trade credit,however,the downstream supply chain member must pay for a proportion of the purchased goods at first,and can delay paying for the rest until the end of credit period.This paper considers a two-level trade credit,where the supplier offers order-quantity-dependent partial trade credit to a retailer,who suggests full trade credit to his customers.An economic order quantity(EOQ)inventory model of a deteriorating item with expiration dates is formulated here.Theoretical results are developed to obtain the optimal solutions to the problem.Numerical examples and sensitivity analysis are performed to justify the proposed models and theoretical results and managerial insights are provided.

Trade Credit Policy Between Supplier-Manufacturer-Retailer for Ameliorating/Deteriorating Items

This paper is related to the advancement of the inventory models for ameliorating items and focused on the real-life business situation as with the time the deterioration rate of ameliorating items is increased.In the global world,every supply chain entities as suppliers/manufacturers/retailers want to increase the consumption of their goods without any losses.For this,he/she tries to lure manufacturer/retailers by offering some discounts,i.e.credit period for settling the account.The problem states that the manufacturer purchases the ameliorating items from the supplier,where the supplier offers his/her credit period to settle the account.The manufacturer purchases ameliorating items(like pigs,fishes,ducklings,etc.)and take those items as rawmaterial;when the livestock matures the manufacturer sells it to the retailer and offer credit time for settling the account.Reason to propose the model is when the quantities of livestock become larger,then the manufacturer faces difficulty in maintaining all the livestock.In such a situation,the traditional method(without offering credit period)fails to provide the maximum profit to the manufacturer.Therefore,in order to get maximum profit,the manufacturer needs some more realistic scientific outlook for making decisions.The proposed model provides a more realistic assumption of business markets,by offering credit policy.In the introduced model,manufacturer faces amelioration and deterioration rate simultaneously due to the growth and the death of livestock.The amelioration and deterioration rates are assumed as theWeibull distribution type.Shortages allowed only for the retailer,which is partially backlogged.The main goal of this paper is to minimize the total relevant inventory cost for both the manufacturer and the retailers,by finding the optimal replenishment policy.Themathematical formulation with optimal solutions for manufacturer and retailers are given.Convexity and existence of the proposed model via numerical examples and graphical representations are explained.Finally,the conclusions with some future research direction are discussed.

OPTIMAL OPERATIONAL DECISIONS WHEN A MANUFACTURER OFFERS TRADE CREDIT TO HIS RETAILER

在这份报纸，我们开发模型在金融限制和制造商能为贸易提供的零售商脸承认帮助零售商的条件下面决定供应链的运作、金融的决定。我们首先学习零售商是风险中立的盒子，并且导出最佳的订和金融决定。然后，零售商是风险反对的盒子(缺点风险) 被学习，零售商和运作的制造商和金融决定上的风险的效果被讨论。最后，数字例子被提供进行经理的分析。

Inventory Policy for a Deteriorating Item with Time-Varying Demand Under Trade Credit and Inflation

It’s often the case that the supplier will provide the retailer with a permissible delay period in payments, during which the supplier charges the retailer no interest and the retailer accumulates interest earned from investment return. As a type of price reduction and an alternative to price discount,trade credit helps the supplier encourage the retailer’s ordering. This paper develops an inventory replenishment model for a deteriorating item with time-varying demand and shortages, taking account of trade credit and time value of money under inflation over a finite time horizon. This model is an extension and development of the existing studies related to the inventory system considering trade credit and time value of money and offers a more general model with more flexibility and resilience to handle the situation where demand of the end market is non-decreasing with regard to time.

Trade Credit, Future Earnings, and Stock Returns: A Self-Dealing Perspective

Chinese listed firms are characterized by a great magnitude of long-duration accounts receivable from controlling shareholders and their affiliates,and they often do not make bad debt allowances.On many occasions,these receivables are never collected.We find that firms with a great magnitude of accounts receivable demonstrate a low level of future profitability and low stock returns.It does not appear that the low earnings persistence of these firms is responsible for their poor future performance as predicted by the accrual anomaly,because the firms also report low concurrent earnings.In the context of the Chinese stock market,we interpret the results as being consistent with self-dealing through trade credit by controlling shareholders.This study contributes to the self-dealing literature by identifying a more subtle channel of expropriation of minority shareholders in China.

商业信用融资对企业高质量发展的影响研究——基于创新与效率视角

利用2010-2021年我国沪深A股上市公司数据,实证检验商业信用融资对企业高质量发展的影响,并从创新与效率视角进行中介效应检验。研究发现,商业信用融资与企业高质量发展显著正相关,研发投入、营运能力和代理成本在其中发挥了部分中介作用,即商业信用融资有助于增加企业研发投入、提高企业营运能力和降低企业代理成本进而推动企业高质量发展。

Identification of the Credit Guarantee Network of Steel Trade Enterprises in China

The risk points in the credit guarantee network of steel trade enterprises were identified by using the network analysis method in this paper. Firstly, the formation and operation mechanism of steel trade credit guarantee network was analyzed.Secondly,a guarantee network was established to analyze the related network structure indexes based on the mutual guarantee data of 83 enterprises in a steel trade market. These indexes included centrality,honest broker,and structural hole. The results suggest that network analysis method can be used to find out the risk points of the guarantee network. Additionally,some recommendations are brought forth to reduce or prevent future crises.

应用型本科院校大学生诚信体系构建研究

大学生信用水平的提升对于优化国家社会信用结构,提升信用社会运行效率具有重要作用。应用型高校在不断加强学生的在校技能,提高学生解决实际业务的能力的同时还需要提高学生具备良好的信用。尤其是国际贸易专业的学生不仅要加强专业能力的提高,也要加强信用建设的发展。本文对通过信用的含义出发,分析应用型本科院校大学生信用体系建设存在的主要问题,从而提出了信用体系建设的初步框架,希望对高校的信用体系建设有一定的借鉴作用。

经济政策不确定性与商业信用融资--基于商业信用网络位置视角的分析

以2000—2022年沪深A股上市公司数据为样本,研究经济政策不确定性对商业信用融资的影响及商业信用网络位置的调节效应。研究发现,面对经济政策不确定性时,企业会选择提升商业信用融资,企业的商业信用网络中心位置能够帮助企业获得更多性商业信用融资。进一步研究表明,面对经济政策不确定性时,商业信用网络中心位置的企业是通过提升企业的议价能力与系统性风险地位进而提升商业信用融资的。面对经济政策不确定性提升,商业信用网络中心位置会缓解企业对银行信用的依赖,但当企业自身能够获得银行信用青睐时,商业信用网络中心位置会进一步提升企业的商业信用。因此建议企业在经济政策不确定高时充分融入商业信用网络,以商业信用资源弥补企业的银行信用不足,同时监管当局需要合理引导优化金融资源配置,避免商业信用与银行信用资源的过度倾斜。

考虑主体信用的配电网分布式绿电交易方法

发展分布式可再生能源是推动能源转型的关键手段,组织市场化交易能够促进分布式可再生能源生产和消纳.然而,可再生能源出力的不确定性使其容易在市场交割时出现偏差,进而为配电系统安全运行带来压力,但现有市场化交易机制仍难以激励市场主体主动减少偏差.为此,通过量化信用成本来引导分布式绿电的诚信交割行为.同时,考虑分布式绿电主体的策略性报价行为,建立考虑主体信用的分布式绿电市场化交易模型.然后,提出基于最优响应法的迭代算法来计算绿电市场的纳什均衡点.算例结果表明:所提市场机制能够以激励相容的方式引导用户的诚信行为,在降低交割偏差的同时提高绿电市场社会福利.

新审计报告与商业信用

本文以商业信用为切入点,考察供应商和客户如何解读和回应新审计报告中披露的关键审计事项。研究发现,关键审计事项披露会显著降低企业的商业信用融资,表明供应商和客户将关键审计事项解读为一项风险信息。截面机制检验发现,公司治理较好时,可以缓解供应商和客户对企业财务报告质量的担忧,关键审计事项披露对商业信用的负面影响得以缓解。此外,关键审计事项数量越多、关键审计事项与可抵押资产相关时,关键审计事项披露对商业信用的负面影响越明显,而关键审计事项应对强度越高、具有结论性评价时,负面影响得以缓解。本文从供应链关系视角为新审计报告改革效果提供进一步的经验证据,对企业和准则制定者具有一定的启示。

网络舆论关注会影响商业信用融资吗?

以2010—2020年中国A股上市公司为研究对象,探究网络舆论关注对商业信用融资的影响,实证结果表明:网络舆论关注与商业信用融资存在显著的负向关系,在经过更换度量方式、使用一阶差分模型、Heckman两步法等稳健性检验与内生性讨论后研究结论依然成立。作用机理分析表明,网络舆论关注通过降低信息披露质量与加剧企业金融化抑制了企业的商业信用融资规模,支持了“市场压力”假说。进一步分析显示,在高管压力敏感性较高、行业竞争较强、非制造业企业以及东部地区企业中,网络舆论关注的负向影响更加显著。

民营僵尸企业挤占了更多的商业信用资源吗?——来自供应链金融市场的解释

本文从供应链视角剖析了僵尸企业,尤其是民营僵尸企业得以存续的原因,并使用我国A股上市公司1990—2019年的数据为样本,实证检验了僵尸企业和商业信用之间的关系。研究发现,相比正常企业,僵尸企业使用了更多的净商业信用,尤其是主动性商业信用;僵尸企业的市场份额越高,其使用的净商业信用越多;僵尸企业会在货币政策紧缩时期使用更多的净商业信用;这些关系在民营企业样本中更加显著;当企业由正常企业转变为僵尸企业时,净商业信用会显著增加,而当企业由僵尸企业转变为正常企业时,净商业信用会显著减少。