The Yangtze River Delta urban agglomeration has an extremely important strategic location in the national regional development pattern, is the engine of China’s green economic development, and plays an important role in promoting the green transformation of the national economy. It is important to clarify the region’s current situation and the space–time characteristics of green economic growth. This study uses a super-efficiency dynamic Slacks-Based Measure (SBM) model to measure the green economic growth efficiency (GEGE) of 41 cities in the Yangtze River Delta urban agglomeration. Based on this, the exploratory spatial data analysis (ESDA) method is used to analyze the spatial correlation of the GEGE. Differently from previous studies, this paper evaluates the GEGE based on a dynamic perspective, considering the intertemporal role of capital. At the same time, the space–time analysis of regional systems (STARS) is used to explore the long-term development pattern and transition path of the GEGE in the Yangtze River Delta urban agglomeration. The results show the following: (1) The GEGE in the Yangtze River Delta urban agglomeration shows a fluctuating downward trend. The efficiency values of the Shanghai, Jiangsu, Zhejiang, and Anhui are significantly different, showing the distribution law of “high in the east and low in the west”. (2) The global spatial autocorrelation has weakened, but the characteristics of local agglomeration are obvious. (3) The space–time transitions show high spatial stability and path dependence. The findings highlight that the economic development of the Yangtze River Delta urban agglomeration is undergoing a difficult period of transition. Despite a decline in the GEGE, the overall regional linkage shows a positive trend. The conclusions can provide a reference for enhancing the green economic development of the Yangtze River Delta urban agglomeration. The implications of this research are important for the implementation of a regional integration strategy and the early achievement of the emission peak and carbon neutrality goals.

Knowledge learning is a vital pre-factor and the driving force of green enterprise innovation; hence, meriting the numerous academic research and accumulated relevant literature. In this paper, the meta-analysis methodology was used to explore the direction and intensity of the influence of knowledge learning on green enterprise innovation, taking 32 independent documents as research samples. Meta-analysis results showed that the search breadth and the search depth of green resources and the green resources absorption and integration have significant positive effects on the green innovation of enterprises, among which green resources absorption and integration were the most important. Further, the research on the moderating effect found that the measurement method of green innovation affected the relationship between knowledge learning and green enterprise innovation; however, the moderating effect of the research object was not pronounced.

In recent years, the adoption of the precise approach for coordinating socio-economic growth and environmental protection to attain sustainable development has become an urgent challenge to be addressed in China. The current development of environmental governance and the efficiency of government financial expenditure on environmental protection (EPEE) deserves enormous attention. With the aid of the provincial panel data, this study emphasized on the use of the SBM super-efficiency model based on unexpected output to quantify the efficiency of China’s government expenditure on environmental protection from 2013-2018 and constructed the Ordinary Least Squares (OLS) regression model to investigate the influencing factors of the government expenditure on environmental protection. The results of the efficiency measurement portray that the aggregate EPEE in China is unsatisfactory. The efficiency value for the western region is greater than that of the central and eastern regions, while the values obtained from the eastern region are above that of the central region. Population size and urbanization level have negative implications on the efficiency value, while the regional economic development level positively promotes the efficiency of the government expenditure on environmental protection. Finally, the corresponding countermeasures and suggestions for policy implementation are outlined accordingly.

Differential leadership exists widely in family businesses. How to maintain the effective operation of differential leadership by conforming to cultural traditions and shaping people’s psychology and sense of value has become a popular topic in recent years. At the same time, employee zhengchong (striving for a favor) behavior is common in the family enterprises formed by the logic that there are insiders (employees on leaders’ own side) and outsiders (employees not on leaders’ own side) in family enterprises. How to reasonably guide employee zhengchong behavior is very important to the sustainable development of family enterprises. Based on the social comparison theory, this study focuses on exploring the influence of differential leadership on employee zhengchong behavior. Based on the perspective of a complex network, a network evolutionary game model among employees was constructed, and through numerical simulation, it was attempted to explore the key factors affecting the choice of strategies for employee zhengchong behavior in family enterprises. The simulation results show that the degree of partiality of differential leadership has a certain influence on employee zhengchong behavior. For today’s family businesses, moderate partiality is more conducive to the spread of employee zhengchong behavior. In addition, employees’ perception of differential atmosphere has a positive role in promoting favoritism. Leadership plays an important role in the process of employees showing themselves and improving their skills. Therefore, it is of great significance for the sustainable development of the family business to understand how the differential leadership style can effectively promote the positive behavior of employees. This study innovatively uses the complex network theory to reveal the influence of differential leadership on employee zhengchong behavior and confirms that leaders’ moderate partiality and employees’ perception of differential atmosphere can promote employee zhengchong behavior. The research conclusions can provide practical experience for enterprises.

The role of the family doctor contracted service system in China’s medical and health system is increasing day by day. However, with the steady increase in contracting coverage, the phenomenon of “signing up but not contracting” has become common; to improve the current situation, the personalized signing service model has been strongly advocated. To promote the smooth implementation of the personalized contracted service model with family doctor competency as its core, this study used the signal game model to analyze the market equilibrium state of the signing service model. The results of this analysis reveal the following: (1) The camouflage of the number of contracts leads to distortion of the signal effect and to market failure, that is, the cost of competency camouflage is the primary factor affecting the equilibrium of contracted services. (2) The incompleteness of contracted services leads to quantity but not quality in the contracting market, that is, the payment of personalized service packages, the value-added utility of personalized services, and service gaps are the key factors that affect the decision-making behavior of the public. With this knowledge in mind, a compensation incentive mechanism that matches the competence level of the family doctor should be established, the formulation of contracted service agreements should be improved, and the participation of family doctors and residents should be encouraged, while the promotion of personalized contracted services should be enhanced and relevant supporting measures should be improved.