Resource-based enterprises, as an important part of China's macro-economy and an important guarantee for the operation of the national economy, have brought serious environmental pollution problems as well as great economic benefits. Under the background of the new era of ecological priority in China, the analysis of the environmental behavior choice of resource-based enterprises as micro-subjects is of guiding significance to the construction of environmental governance system in China. Based on the results of 503 questionnaires of resource-based enterprises, this paper combs the internal mechanism of corporate reputation, leader awareness, technical support and market profits influencing corporate environmental behavior, introduces corporate environmental will as mediating variable, knowledge sharing and corporate social responsibility as regulating variable, constructs a theoretical model of corporate environmental behavior drivers. The hypothesis is put forward and tested by Structural Equation Model and Hierarchical Regression Analysis. The results show that: corporate reputation, leader awareness, technical support and market profits all have significant positive effects on corporate environmental will; At the same time, corporate environmental will plays a full intermediary role in the process of corporate reputation and leader awareness influencing the corporate environmental behavior, and has part of the intermediary role in the process of technical support and market profits influencing corporate environmental behavior. Knowledge sharing plays a moderating role in the process of transforming leader awareness into corporate environmental behavior. When the level of knowledge sharing is higher, it has a strong regulatory effect on the transformation of leader awareness to the corporate environmental will.
A government’s choice of environmental strategy plays an important role in the coordinated governance of regional air pollution. Based on changes in China’s environmental policies and on changes in environmental indicators over the years, this paper selects regional haze data from the years 2005, 2009, 2013, and 2017; uses social network analysis to describe the structural characteristics of a spatial correlation network in China; measures the level of coordination using a population gravity model; and further analyzes the influence of the overall structural characteristics of spatial networks on the level of coordination. The results show that the spatial association of regional haze presents a typical “central edge” network structure. The Beijing–Tianjin–Hebei region and the Yangtze River Delta region are the largest emitters in China. The coordination level of haze control in China showed a fluctuating upward trend, but the overall level of coordination is relatively low, and there is still great room for improvement. Based on the above characteristics, using the provincial panel data from 2005–2017, a two-zone spatial Durbin model was built to empirically test the impact of changes to the environmental performance assessment system on local coordinated haze-control decisions and their stage characteristics. The overall sample results show that there was a “race to the bottom” among Chinese provinces during the study period. When the haze control intensity in neighboring areas was relaxed, the regional governments also tended to relax their own environmental regulation intensity. The time-based analysis results further show that with the improvement of the environmental performance assessment system, the strategy selection of coordinated governmental haze-management presents the possibility of a “race to the top”.
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