Optimization of Capital Turnover and Enhancement of Financial Operation Efficiency for Economic Entities in Cross-Border E-Commerce
Year: 2025
Type: article
Abstract: 在全球数字化贸易加速发展的背景下，跨境电商已成为我国外贸增长的核心驱动力。然而，跨境电商经济主体(平台企业、卖家、服务商等)普遍面临资金周转周期冗长、汇率波动风险高企、供应链协同效率不足等结构性问题，严重制约财务运营效率提升。本文基于行业特征，系统剖析资金周转与财务运营的现存痛点，从供应链金融模式创新(如应收账款证券化、库存动态融资)、数字化财务管理升级(业财一体化系统、智能风控体系)、汇率风险全流程管控(多币种结算、套期保值工具)、政策与行业协同机制(外汇便利化、税收优化)等维度构建优化路径，旨在为跨境电商企业破解资金循环堵点、提升资金使用效率、增强财务韧性提供理论框架与实践指引，助力行业在复杂国际环境中实现可持续增长。Against the backdrop of accelerated global digital trade development, cross-border e-commerce has become the core driving force for China’s foreign trade growth. However, economic entities in cross-border e-commerce (platform enterprises, sellers, service providers, etc.) generally face structural challenges such as lengthy capital turnover cycles, high exchange rate volatility risks, and insufficient supply chain collaboration efficiency, which severely restrict the improvement of financial operational efficiency. Based on industry characteristics, this paper systematically analyzes the existing pain points in capital turnover and financial operations, and constructs optimization pathways from dimensions including supply chain finance model innovation (such as accounts receivable securitization and dynamic inventory financing), digital financial management upgrading (integration of business and finance systems, intelligent risk control systems), full-process exchange rate risk management (multi-currency settlement, hedging tools), and policy-industry coordination mechanisms (foreign exchange facilitation, tax optimization). The study aims to provide a theoretical framework and practical guidance for cross-border e-commerce enterprises to break through capital circulation bottlenecks, enhance capital utilization efficiency, and strengthen financial resilience, so as to help the industry achieve sustainable growth in complex international environments.
Source: E-Commerce Letters
Author: 硕 高
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411536565