Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.

Environmental decentralization is an institutional factor that influences the effect of ecological environment governance. Based on panel data of provinces in China from 2008 to 2015, this paper evaluates the indicators of environmental decentralization, and uses a fixed-effect model and a threshold model to test the influence of environmental decentralization and environmental regulation on environmental pollution. The results indicate that China’s environmental decentralization can significantly curb environmental pollution in general. There is a U-shaped relationship between environmental decentralization and environmental pollution. Reasonable environmental decentralization can restrain environmental pollution, while excessive environmental decentralization aggravates environmental pollution. There is an inverted U-shaped relationship between environmental regulation and environmental pollution. If the intensity of environmental regulation is too low, it cannot inhibit environmental pollution, while if the intensity of environmental regulation is increased to a certain level, it can help to inhibit environmental pollution. The joint impact of environmental decentralization and environmental regulation cannot reduce environmental pollution. That is, with the enlargement of environmental decentralization, environmental regulation fails to reduce environmental pollution. The effect of environmental decentralization has significant regional heterogeneity in economic development level and emission intensity. The above conclusions have important reference value for optimizing the environmental decentralization system and formulating scientific environmental decentralization policies.

In recent years, Chinese economic development has slowed down and competition in the financial industry has become increasingly fierce. The purpose of this paper is to study the efficiency characteristics of China’s banking industry in the new environment and provide suggestions for banks to improve efficiency. This paper uses a data envelopment analysis (DEA) SBM-undesirable model and window analysis to measure the technical efficiency of 13 nationwide commercial banks in China during the period from 2008 to 2017. Furthermore, the convergence characteristics of bank technical efficiency are examined. The empirical results show that state-owned banks were more efficient than joint stock banks before 2012. After 2012, state-owned banks were less efficient than joint stock banks. Finally, this paper explores the influential factors of technical efficiency. Noninterest income ratio, net interest margin, growth rate of total investment in fixed assets, and consumer price index have a significant positive impact on bank efficiency. The cost-to-income ratio has a significant negative impact on bank efficiency. Further research using the threshold model shows that noninterest income ratio has a threshold effect on bank efficiency.

Reduced audit quality behavior is prevalent in audit practice and poses a serious threat to overall audit quality. With the increasing adoption of digital auditing, auditors’ digital literacy has become essential not only for adapting to the modern audit environment but also for improving audit quality and curbing inappropriate audit practices. This study examines the effect of auditors’ digital literacy on reduced audit quality behavior by introducing digital self-efficacy and task performance as mediating variables and constructing a chain mediation model, while also exploring the moderating role of prosocial behavior. Empirical analysis based on 480 valid questionnaires revealed that digital literacy negatively influences reduced audit quality behavior. Digital self-efficacy and task performance partially mediate this relationship. Additionally, digital self-efficacy positively enhances task performance, resulting in a chain mediating effect. Prosocial behavior moderates these relationships, significantly affecting the mediating roles of digital self-efficacy and task performance. Accordingly, fostering a digitally enabled audit environment that enhances auditors’ analytical efficiency, judgment accuracy, and procedural compliance requires auditors to effectively leverage digital technologies to mitigate audit quality-threatening behavior.