Big Data Analysis of Supply Chain Value Finance Addition in Export Activities: Insights from Public Financial Disclosures Across Countries
摘要
The research examines foreign value added (FVA) embedded in export-oriented supply chains by integrating public financial disclosures with value-added trade data. Using China as an empirical case, the study applies big data analytics to investigate how the working capital ratio, FVA, and domestic value added (DVA) interact across sectors to influence export competitiveness. Additionally, the study proposes a novel framework that links supply chain finance (SCF) accessibility to disclosure transparency, particularly for small and medium-sized businesses (SMBs). The results indicate that sectors with more advanced disclosure practices and greater digital finance development tend to retain higher levels of domestic financial value and demonstrate stronger financial capacity. A cross-sectoral comparison further reveals significant differences in financial value retention and availability. To enhance the inclusiveness and resilience of global value chains, the findings highlight structural asymmetries in financial value capture and underscore the need for targeted SCF policies, improved standardization of financial indicators, and stronger digital finance infrastructure. This study contributes to the literature by providing a comprehensive perspective on FVA within supply chains. It also offers practical implications for managers, policymakers, and financial service providers seeking to improve financial integration and sustainability in global trade.