Abstract

Many small and medium enterprises (SMEs) with capital constraints often have no access or find it costly to obtain a loan from a bank; the retailer tends to borrow money from other enterprises in the supply chain by trade credit financing. We consider an emission-dependent supply chain with one emission-dependent manufacturer and one capital-constrained retailer in need of financing to explore the optimal operational and environmental strategies of a low-carbon supply chain under trade credit financing. We use a Stackelberg game model to depict the low-carbon supply chain. We analyse the optimal carbon-emission reduction effort, wholesale price, and order quantity in the equilibrium state. The impacts of key parameters, such as the retailer’s internal working capital, the manufacturer’s risk-aversion degree, and the carbon-trading price on the supply chain operation, are analysed. The results show that the retailer’s capital constraint causes the carbon-emission reduction effort, wholesale price, and order quantity to improve synchronously. The supply chain achieves a win-win outcome for both the manufacturer and the retailer when the capital-constrained retailer is funded via trade credit from the manufacturer. The in-depth development of financing is beneficial to the manufacturer but is a disadvantage for the retailer. When the initial carbon-emission quota is low, the manufacturer benefits from a relatively lower carbon-trading price. Otherwise, a higher carbon-trading price is better for the manufacturer. The “carbon-trading price trap” ensures that the retailer’s profit is minimal. We further investigate the scenario in which the manufacturer is risk averse and find that the retailer will purchase fewer products and that the manufacturer will gain less profit to decrease the carbon-emission reduction effort. The manufacturer’s risk aversion is unfavourable to both the economic and environmental outcomes of the whole supply chain. This research provides strategic support for a low-carbon supply chain to carry out operational decisions in the context of enterprise capital constraint. To examine the theoretical results, the data used in the existing literature are further used to simulate the corresponding conclusions. Our research enriches the existing supply chain finance literature and provides decision support for the supply chain core enterprise.

Highlights

  • Carbon emissions are believed to be one of the main causes of global warming, whose costly effects have attracted significant concerns from policy makers and scholars in recent decades

  • Our study is related to three streams of research. e first stream studies firms’ operational decisions in a low-carbon supply chain; the second stream investigates firms’ operational decisions under capital constraint; and the third stream analyses the impacts of risk aversion on operations management

  • Enterprises’ capital flow seriously affects their operation and management. is paper explores the impacts of capital constraint on their carbon-emission reduction operation strategy

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Summary

Introduction

Carbon emissions are believed to be one of the main causes of global warming, whose costly effects have attracted significant concerns from policy makers and scholars in recent decades. Producers or manufacturers are first allocated initial quotas for carbon emissions When these are exhausted, they can purchase or sell on carbon-trading markets to support their extra production. Existing studies find that trade credit is a popular financing method among subsidiaries of multinational corporations [7] and is used more widely in economies with less developed financial markets or weak bank-firm relationships. Under this financing mode, sellers extend credit, such as short-term delay in payments, to their buyers for the purchase of products. Ere exist many practical examples showing that, in the supply chain, the manufacturer is emission-dependent and uses trade credit to finance the retailer.

Literature Review
Equilibrium Analysis
Impacts of Retailer’s Initial Capital
Impacts of Manufacturer Risk Aversion
Numerical Studies
Conclusion and Remarks

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