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This study addresses the critical challenge of integrating sustainable financial management within the framework of green economic growth in China from 1990 to 2022, underscored by rapid industrialization and environmental concerns. The primary aim is to analyze how big data technology innovations have facilitated sustainable financial practices that align with green economic objectives. The objectives include assessing the impact of these technologies on environmental sustainability, financial inclusion, and economic resilience. Using China as a case study, the research employs a longitudinal analysis to trace the evolution and integration of sustainable financial management and green economic growth, underpinned by technological advancements. Results indicate that big data technology has significantly enhanced the capacity for real-time analysis, risk assessment, and decision-making in financial institutions, leading to improved environmental and economic outcomes. Policy implications suggest that the government should foster an innovation-friendly environment that encourages the development and adoption of big data technologies, to further integrate sustainable financial management within the green growth agenda.
Zhu Lina (Fri,) studied this question.