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论文编号：	15443
作者编号：	2320224073
上传时间：	2025/6/11 16:35:45
中文题目：	资源再利用企业G对上游回收商的供应链金融服务方案研究
英文题目：	Research on the Supply Chain Financial Service Scheme of Resource Recycling Enterprise G to Upstream Recyclers
指导老师：	李勇建教授
中文关键字：	电池回收体系；循环经济；供应链金融；供应链韧性
英文关键字：	Battery Recycling System；Circular Economy；Supply Chain Finance；Supply Chain Stability
中文摘要：	近年来，随着我国新能源汽车产业的快速增长，动力电池的装配量快速增长，动力电池回收再利用所带来的能源、资源以及经济等多方面效益不可估量，且该产业在我国是一个朝阳产业。在全球碳中和背景下，动力电池回收产业的逆向供应链面临稳定性挑战，核心企业上游中小供应商的资金困境成为关键制约因素。本文以资源再利用企业G为研究对象，聚焦核心企业主导的供应链金融模式，论证其通过供应链金融赋能上游中小回收商对稳定供应链关系的核心作用，为循环经济领域的供应链管理提供理论与实践参考模式。 研究发现，动力电池回收行业因重资产、长周期特征，存在上游供应商融资难、原料供应波动大等系统性风险。G公司作为电池回收行业资源再利用龙头，其四级逆向供应链网络中，个体回收商因资金链断裂导致原料交付延迟问题突出，直接影响企业产能。基于供应链金融理论，本文提出核心企业通过金融工具优化产业生态的路径：一是设计“产业+科技+金融”数字供应链服务模式，提供差异化融资产品（如“电池银行”存货融资、电子凭证流转、供货贷），利用数据增信、或核心企业信用传递，缓解小微供应商融资约束；二是利用大数据、区块链与物联网技术构建全流程信用闭环的电池回收服务平台，降低信息不对称成本，协助金融机构做好风控。实践数据显示，G公司方案实施后，上游供应商融资可获得性增强，融资成本显著下降；核心企业原料供应保障率提升，供应商续约率明显改善，验证了核心企业主导的供应链金融可提升供应链韧性。 本研究为循环经济领域供应链管理提供重要启示：核心企业需从“链主”升级为“生态构建者”，运用数字化手段为供应链金融创新提供更多支撑，与金融机构深度合作进行金融产品与风控模式创新，依托金融工具实现产融协同。
英文摘要：	In recent years, with the rapid growth of my country's new energy vehicle industry, the assembly volume of power batteries has increased rapidly. The energy, resources and economic benefits brought by the recycling and reuse of power batteries are immeasurable, and this industry is a sunrise industry in my country. Under the background of global carbon neutrality, the reverse supply chain of the power battery recycling industry faces stability challenges, and the financial difficulties of upstream small and medium-sized suppliers of core enterprises have become a key constraint. This paper takes G Company as the research object, focusing on the supply chain finance model led by core enterprises, and demonstrates its core role in stabilizing supply chain relationships through supply chain finance to empower upstream small and medium-sized recyclers, and provides a theoretical and practical reference model for supply chain management in the field of circular economy. The study found that the power battery recycling industry has systemic risks such as difficulty in financing for upstream suppliers and large fluctuations in raw material supply due to its heavy asset and long cycle characteristics. As the industry leader, G Company has a prominent problem of delayed raw material delivery due to the break in the capital chain in its four-level reverse supply chain network, which directly affects the company's production capacity. Based on the theory of supply chain finance, this paper proposes a path for core enterprises to optimize the industrial ecology through financial tools: first, design a digital supply chain service model of "industry + technology + finance", provide differentiated financing products (such as "battery bank" inventory financing, electronic voucher circulation, supply loan), use data credit enhancement, or core enterprise credit transmission to ease the financing constraints of small and micro suppliers; second, use big data, blockchain and Internet of Things technology to build a battery recycling service platform with a full-process credit closed loop, reduce information asymmetry costs, and assist financial institutions in risk control. Practical data show that after the implementation of the G company's plan, the financing availability of upstream suppliers has increased and the financing cost has dropped significantly; the core enterprise's raw material supply guarantee rate has increased, and the supplier renewal rate has improved significantly, verifying that supply chain finance led by core enterprises can enhance supply chain resilience. This study provides important insights for supply chain management in the circular economy: core enterprises need to upgrade from "chain leaders" to "ecosystem builders", use digital means to provide more support for supply chain financial innovation, cooperate deeply with financial institutions to innovate financial products and risk control models, and achieve industrial and financial synergy based on financial tools.
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