In recent years, with sustainable development strategies, the conflict between economic development and natural resources has become increasingly severe. Meanwhile, green finance’s emergence is due to the rethinking of human economic activities under global warming conditions and the energy crisis. Thus, this study aims to analyze the relationship between green finance and enterprise green performance using a meta-analytic approach. This study has used Comprehensive Meta-Analysis Software (CMA) 2.0 for meta-analysis and applied the Hunter and Schmidt model for statistical analysis to test the proposed hypotheses. This study finds a significant positive correlation between green finance and enterprise green performance and proves that firm type and region play a moderating role in the relationship between green finance and enterprise green performance. However, profitability does not significantly moderate the relationship between green finance and enterprise green performance.

Recently, the significance of organizational support and commitment in workplace safety has gained much recognition. The improvement of individual safety behavior needs more convincing and effective evidence. This study constructed a comprehensive theoretical model and used meta-analysis to examine the relationships between perceived organizational support for safety (POSS), organizational commitment (OC) and employee safety behavior (SB). Support was found for the study’s hypothesis that both perceived organizational support for safety and organizational commitment had a positive association with employee safety behavior, with the latter demonstrating the stronger relationship. However, organizational commitment was not mediated by perceived organizational support for safety and employee safety behavior. Results show that in general industries and developed regions, employees’ safety behavior are more vulnerable to perceived organizational support for safety and organizational commitment than those in high-risk industries and developing regions. The implications of the findings and suggestions for further research are discussed.

Based on the characteristics of small-scale enterprises, the improvement of occupational health and safety management systems (OHS MS) needs an effective intervention. This study proposed a structural equation model and examined the relationships of perceived organization support for safety (POSS), person–organization safety fit (POSF) and proactivity safety behaviors with safety management, safety procedures and safety hazards identification. Data were collected from 503 employees of 105 Chinese high-risk small-scale enterprises over 6 months. The results showed that both POSS and POSF were positively related to improvement in safety management, safety procedures and safety hazards identification through proactivity safety behaviors. Our findings provide a new perspective on organizational safety for improving OHS MS for small-scale enterprises and extend the application of proactivity safety behaviors.

This paper aims to promote a national and international occupational health and safety (OHS) intervention for small and medium enterprises (SMEs) within internal and external resources. Based on the characteristics of small SME management, the work environment and occupational health may be positively affected by the dual-effects of employees and government. Evolutionary game theory is utilized to identify relevant interactions among the government, small enterprises, and employees. Furthermore, dynamic simulations of the evolutionary game model are used to explore stability strategies and to identify modes of equilibrium.

Employee safety behavior is a basic element of enterprise work safety. The results of accident investigations and risk assessments in enterprises indicate that management factors are some of the most important factors that affect employee safety behavior. The purpose of this study is to explore the relationship between the behavior of front-line managers (FLMs) and employee safety behavior by integrating a qualitative method, i.e., the interpretive structural model (ISM), and a quantitative method, i.e., the Bayesian network (BN). The results of the BN analysis showed that safety incentives and safety communication were the best predictors of safety participation, while safety supervision and safety control were the best predictors of safety compliance. Moreover, the results revealed that an instantaneous improvement of safety communication, safety incentives, safety supervision and safety guidance was the most effective joint measure to reach a high-level of safety behavior of employees in the workplace.