Based on social information processing (SIP) model and conservation of resources (COR) theory, this paper is to examine the mediating and moderating roles of psychological safety (PS) in the relationship between work-related leader-member exchange (LMX)/non-work-related supervisor-subordinate guanxi (SSG) and employee affective commitment (AC). Participants and Methods: Cross-sectional data came from 213 enterprise employees in China. The participants completed the LMX scale, SSG scale, PS scale, and AC scale. SPSS PROCESS macro and RWA-Web were used to test the research hypothesis. Results: Both LMX and SSG were positively related to employee AC. LMX was more strongly associated with AC than SSG. PS partially mediated the influence of LMX/SSG on AC. PS negatively moderated the influence of LMX on AC, whereas it did not moderate the influence of SSG on AC. Conclusion: Different types of supervisor-subordinate relationships (SSR) were both beneficial to employee AC, and work-related LMX was more closely related to employee AC. Different types of SSR could both affect employee AC through PS. In addition, high PS also reduced the relationship between LMX and employee AC. Therefore, in the context of Chinese culture, enhancing employees' AC within an enterprise can not only pay attention to the work-related LMX and non-work-related SSG but also the appropriate cultivation of employees' PS.

Under the background of low-carbon economy, in order to explore the internal mechanism of enterprises implementing carbon emission reduction behavior, this paper uses evolutionary game theory and numerical simulation method to study the evolutionary stability strategy and its influencing factors of carbon emission reduction behavior of supply chain enterprises in a two-level supply chain composed of a single supplier and a single manufacturer from a dynamic perspective, considering environmental regulation and consumers’ preference for low carbon emission. The results show that there are certain conditions that make supply chain enterprises converge to carbon emission reduction investment behavior under the effect of command-and-control environmental regulation and consumer low-carbon preference, and converge to cooperative carbon emission reduction behavior under the effect of market-based environmental regulation and consumer low-carbon preference. On this basis, the factors significantly influence the carbon emission reduction investment behavior of supply chain enterprises are the carbon emission reward and punishment coefficient and the low carbon preference coefficient of consumers. Increasing the carbon tax rate, carbon emission trading price and the proportion of cost subsidies, as well as encouraging consumers to consume low-carbon products will help promote the realization of cooperative carbon emission reduction.

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The economic impact caused by the outbreak and dynamic evolution of COVID-19 has reduced employees’ psychological security (PS), which not only threatens the physical and mental health of employees but also seriously affects the stable operation and sustainable development of enterprises. PS has been determined to be closely related to daily life experiences. Therefore, the purpose of this article is to examine the types and combinations of life events that improve employees’ PS during the pandemic. Cross-sectional data came from 764 enterprise employees in 8 provinces and cities in China during the pandemic period. The participants completed the PS scale to evaluate their PS, and the PS events scale to evaluate the different types of daily life events they experienced. Multiple regression analysis (MRA) and fuzzy-set qualitative comparative analysis (fsQCA) methods were used to test the research hypothesis. The results of MRA suggest that rich leisure activities (RLA), harmonious family relationship (HFR), stable economic order (SEO) and recognition and support from others (RSO) are important life events that enhance employees’ PS. The results of fsQCA suggest that the independent role of SEO, the combined role of sound social security system (SSSS), peace and health events (PHE) and HFR, the combined role of PHE, fulfilling work/life status (FWLS), SEO and RSO can substitute for each other to promote employees’ high PS. This article reveals the contribution of daily life events to the PS of enterprise employees, and provides an empirical basis for formulating corresponding intervention measures to promote the physical and mental health of enterprise employees and effective enterprise management.

Nowadays, geopolitical, extreme weather and other emergencies have exacerbated the global energy crisis, and thus, have increased the urgency of the world’s transition to sustainable energy. Sustainable energy policies play an important role in the process of sustainable energy transformation. The research on sustainable energy policy is mainly carried out through conventional qualitative and quantitative methods, in which bibliometrics and meta-analysis methods are paid attention to; however, the mining and analysis of the semantics of the relationships between policies are ignored. This paper uses knowledge graph technology to build a knowledge graph of China’s sustainable energy policy by using 10,815 open official documents of sustainable energy policy issued by China from 1981 to 2022. It forms the relevant policy archive storage and details related organizations. The legal source can be traced through the graph database, where the powerful synergy can be seen, and the policy focus can be monitored. In terms of structural data, this paper uses graph algorithms to identify key policy nodes at different stages, to identify the key government departments for policy issuance and cluster policy issuance departments, and it investigates China’s policy evolution in the issue of sustainable energy policies, the evolution of policy issuance departments, and the power co-evolution process between policy issuance departments. The research found that: (1) China’s sustainable energy policy was initiated in environmental protection, and the relevant policies on collecting pollution charges has continued to play an important policy node. Additionally, the three versions of the Environmental Protection Law of the People’s Republic of China have successively become the main legal source of other sustainable energy transformation policies. (2) The prominent feature of China’s sustainable energy policy transformation has involved transforming the process where the issuance of policies came from a single department to the joint issuance of documents by multiple departments. The joint exercise of government functions and powers by multiple departments jointly promotes sustainable energy policies’ implementation and play. (3) In the future, when formulating sustainable energy policies, the Chinese government should focus on the strategic and systematic aspects of the policies, so that the sustainable energy policies can meet both short-term and long-term development goals. At the same time, the synergy of various policies and measures should be fully played in implementing sustainable energy policies. The establishment of the policy knowledge graph based on publicly-open official documents can facilitate the analysis and visualization of sustainable energy policies, providing new ideas for policy research. This paper introduces the knowledge graph, graph machine learning algorithms and big data technology, which can deepen the depth and breadth of people’s research on sustainable energy policy. This study will help the public policy formulation work in the future and has a positive reference value for the evaluation of the implementation effect of policy objectives.