Lina Zhu
Economics & Management College of Zhao Qing University, Zhao Qing, 526061, Guangdong, China.
Heliyon. 2024 Sep 13;10(19):e35517. doi: 10.1016/j.heliyon.2024.e35517. eCollection 2024 Oct 15.
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.
本研究探讨了1990年至2022年期间，在中国快速工业化和环境问题凸显的背景下，将可持续财务管理纳入绿色经济增长框架这一关键挑战。主要目的是分析大数据技术创新如何推动与绿色经济目标相一致的可持续金融实践。目标包括评估这些技术对环境可持续性、金融包容性和经济韧性的影响。以中国为案例研究，该研究采用纵向分析方法，以技术进步为支撑，追溯可持续财务管理与绿色经济增长的演变和融合。结果表明，大数据技术显著提高了金融机构的实时分析、风险评估和决策能力，带来了更好的环境和经济成果。政策启示表明，政府应营造有利于创新的环境，鼓励大数据技术的开发和应用，以进一步将可持续财务管理纳入绿色增长议程。
