Extensive development leads to the decline of ecological well-being, and it is necessary to improve the urban ecological well-being performance (EWP). This paper adopted the Super-slack-based measure (Super-SBM) model to evaluate the EWP of 285 Chinese prefecture level cities from 2011 to 2017. The exploratory spatial data analysis method (ESDA) was used to explore the spatial and temporal evolution characteristics of the EWP, and then the spatial Durbin model (SDM) was adopted to analyze the driving factors of the EWP. The results show that the trend of the overall average EWP has experienced a stage evolution process of “upward → downward → upward”. The urban EWPs have significant spatial agglomeration and path dependence. The economic development level and technological progress had the positive impacts on the EWP, and the urbanization level, economic extroversion and industrial structure had the negative impacts on the EWP. The result reveals that there was a “U-shaped” relationship existing between urbanization level and the EWP. The negative spatial spillover effect of urbanization level on the EWP was significant. The corresponding policy implications were put forward. This study will provide strategic guidance for policy makers to optimize and enhance the urban EWP.
Inhibiting negative knowledge behavior is one of the ways to improve the effective circulation of knowledge within the organization. This study puts employees’ knowledge hiding behavior in the organizational relationship network situation and discusses the influence of network location on knowledge hiding, exploring the moderating role of knowledge acquisition in the relationship between network location and knowledge hiding. From the perspective of social network, 232 knowledge-based employees were used to obtain the data, and we used literature analysis, social network analysis, multiple regression analysis, UCINET, SPSS, and other software packages. Research shows that employees in the central network are less willing to do knowledge hiding behavior, and those in the structural hole network tend to do knowledge hiding behavior. Knowledge acquisition as the supply way of knowledge resources plays a positive role on the negative relationship between centrality and knowledge hiding and on the positive relationship between structure hole and knowledge hiding. The research results have positive significance for understanding and mastering the hiding behavior law of individual knowledge in the organizational relationship network and also provide certain theoretical basis and data support for organizational knowledge governance.
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