RISK ASSESSMENT AND CONTROL OF BANKS' GREEN FINTECH BUSINESS IN CHINA IN THE DIGITAL ECONOMY: A QFD AND AHPENTROPY APPROACH-BASED PERSPECTIVE

With the rapid development of the digital economy, the widespread use of green finance and fintech business has led to remarkable results in the digital transformation of banks. The accompanying financial risks of banks cannot be ignored and have now become a relatively hot academic topic for international research. In this study, we innovatively draw on the quality function deployment theory in marketing, and combine the hierarchical analysis and entropy value method in fuzzy mathematics for quantitative calculation. Different from the classical hierarchical analysis, we fully consider the credibility and identity information weight of experts in the case part, which makes up for the shortcomings of the traditional hierarchical analysis because of too much subjectivity. In this process, the calculation results are finally outputted through a combination of quantitative and qualitative approaches to deeply explore the risk assessment of green fintech business of banks in China in the era of digital economy. In our research, we have applied theories and methods to the risk assessment of banks' green fintech business from a holistic level, and more importantly, we have constructed a risk indicator system for banks' green fintech business. Unlike the traditional risk indicator system, we fully consider the green factor and give the ranking results of the indicators to demonstrate the applicability of the method. The study has achieved innovation and practical application at the theoretical level, enriched the theoretical knowledge of financial risk assessment, expanded the research literature in this field, and provided reference for the Chinese government and financial regulators to formulate control measures for banks' financial risk business, as well as provided relevant ideas and methodological support for international academic cases of similar financial risk management.