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Intuitionistic fuzzy sets, Pythagorean fuzzy sets and generalized orthogonal fuzzy sets are widely used in some multi-attribute decision-making problems. The Simple Fermatean fuzzy TOPSIS method addresses that decision makers are completely rational while making decisions, and applies the closeness index to the measurement to rank the alternatives. Prospect theory considers the irrational behavior of the decision maker in the actual decision-making process, decision makers facing the loss are risk-preferring (introducing the coefficient θ), and are risk averse when facing the gain. In this paper, prospect theory and Fermatean fuzzy sets are combined to explore the multi-attribute decision-making problem, and the Fermatean fuzzy TOPSIS method based on prospect theory is proposed. The comprehensive gain/loss ratio is calculated to rank the alternatives. In this paper, eight leading enterprises in the concept of emerging industries are used as examples to illustrate the effectiveness of the method. The results show that the optimal choice is Ganneng Co in the practical example, and the discriminant mean of the absolute value of φ +(S i)/ φ -(S i) obtained by pooling expert fuzzy evaluations using the Fermatean fuzzy TOPSIS method based on prospect theory is greater than the discriminant mean of the closeness index obtained by using the Fermatean fuzzy TOPSIS method, which can be interpreted as the former being a better synthesis of the expert fuzzy evaluations. In the future, the Fermatean fuzzy TOPSIS method based on prospect theory has a wide range of application value in several fields, which can be used to solve complex decision-making problems and improve the accuracy and effectiveness of decision-making. [ABSTRACT FROM AUTHOR]

Unlocking supply-demand bottlenecks, extending chains, supplementing links, and strengthening chains to enhance supply chain resilience are key to improving financing efficiency for small and medium enterprises (SMEs). This paper, based on panel data of all SMEs listed on the Small and Medium Enterprise Board and the Growth Enterprise Board of the Shenzhen Stock Exchange from 2015 to 2022, constructs a double-difference model to explore, for the first time, the impact of supply chain digitalization on the financing efficiency of SMEs and its transmission mechanism from the perspective of supply chain resilience. The research findings indicate that supply chain digitalization significantly enhances the financing efficiency of SMEs. Mechanism analysis suggests that supply chain resilience is the key transmission path through which supply chain digitalization enhances financing efficiency for SMEs. By optimizing supply chain dynamic capabilities, including proactive capability, reactive capability, and quality capability, to promote key resource integration such as cost control, fund circulation, and innovation collaboration, SMEs' financing efficiency is empowered. Further analysis reveals that state-owned enterprises and SMEs in the central and eastern regions of China experience more significant improvements in financing efficiency. The conclusions of this paper provide policy implications for government initiatives to promote supply chain digitalization, ensure industrial chain security, and formulate differentiated policies targeting weak links in the process of supply chain digitalization. [ABSTRACT FROM AUTHOR]

Taking 26 listed commercial banks in China from 2010 to 2021 as a research sample, this paper empirically analyzes the impact and mechanism of digital transformation on bank systemic risk. The results show that digital transformation significantly reduces the systemic risk of banks, and the mechanism analysis finds that digital transformation inhibits the systemic risk of banks through two major channels: improving the operational efficiency of banks and reducing bank risk-taking. The results of heterogeneity analysis show that the digital transformation of small and medium-sized banks has a more significant inhibitory effect on the systemic risk of banks. This study provides a reference for better driving the digital transformation of banks and preventing systemic risks in the banking industry. [ABSTRACT FROM AUTHOR]

Based on the agricultural carbon emissions of 88 counties in Guizhou Province and the digital financial inclusion index provided by the Digital Finance Research Center of Peking University from 2015 to 2022, this study analyzes the effect of the impact of digital financial inclusion on the low-carbon development of agriculture and the transmission paths by using the two-way fixed effect model and the mediated effect model. The influence mechanism test finds that digital inclusive finance has a significant inhibitory effect on the intensity of agricultural carbon emissions, which is proved by both the robustness test and the endogeneity test. Through the mediation effect model, it is found that digital inclusive finance can achieve agricultural carbon emission reduction by promoting agricultural technological progress, which can be expressed as digital inclusive finance promotes the low-carbon development of agriculture by improving the degree of agricultural mechanization. [ABSTRACT FROM AUTHOR]