Intelligent Financing Strategy of Green Supply Chain for Retailers with Bilateral Funding Constraints

The present work focuses on the intelligent financing strategies of a retailer’s dual-channel green supply chain under bilateral capital constraints. Three intelligent financing models are proposed and analyzed: "Bank Intelligent financing and Advance Payment" (AF Model), "Bank Intelligent financing and Deferred Payment" (DF Model), and "Bilateral Bank Intelligent financing" (TF Model). In addition, the retailer’s intelligent financing decision models under unified pricing and autonomous pricing strategies are analyzed. The research findings indicate that the initial capital scale exerts no influence on the optimal operational decisions and demand of each entity; however, it does impact their profits. A comparative analysis of the optimal decisions under the three intelligent financing models reveals that the carbon emission reduction coefficient and loan interest rate levels exert inhibitory effects on the decisions and profits of supply chain parties within certain ranges. Conversely, the DF model is regarded as the optimal intelligent financing equilibrium strategy for the supply chain. The supply chain only considers the AF model as the intelligent financing equilibrium strategy when the manufacturer’s loan interest rate is relatively high. In scenarios characterized by substantial channel preferences, the autonomous pricing strategy has been demonstrated to enhance retailer profit levels. Consequently, it is recommended that retailers prioritize the adoption of this strategy.