In the context of carbon peaking and carbon neutrality, corporate green behavior has attracted attention, and environmental information has become increasingly important. As enterprises with high emissions, high energy consumption, and significant environmental pressure, heavily polluting enterprises have brought about a series of environmental, resource, and social issues during their production and operation. Therefore, it is crucial to pay more attention to the environmental information status of heavily polluting enterprises. Taking Baoshan Iron & Steel Co., Ltd. as an example, the current status of its environmental information disclosure was examined, existing issues were identified. Relevant coutermeasures and suggestions are proposed for both the government and the enterprise itself based on these issues. The aim is to improve the quality of environmental information among heavily polluting enterprises, resolve the problems arising from environmental information asymmetry, and further promote high-quality development of these enterprises.

CiteSpace visualization software was used to quantitatively analyze the publication trends, hot topics, and research context evolution of SSCI(Social Sciences Citation Index) papers on energy transition in the WoS(Web of Science) database. The results indicate that from temporal perspective, relevant research has gone through stages of budding exploration, steady growth, and rapid development. Since 2016, there has been an explosive increase in the number of publications, demonstrating the integration of humanities, social sciences, and natural sciences.From spatial distribution perspective, European countries are the main research force, while the academic influence of Asian countries in this field continues to increase. The top five research countries are the United Kingdom, the United States, Germany, China, and the Netherlands.From high impact literature,technological innovation,fairness and justice are topics that have received more attention, while the factors affecting energy transition have been a hot topic in recent years. From the perspective of keywords, research hotspots have changed rapidly, shifting from government functions in energy transition to multi driven research of “technology-policy-public”,from single transition target research to collaborative research on energy transition and multiple objectives such as fairness and justice, economic growth, and social change. Therefore, in the future, attention should be paid to interdisciplinary and comprehensive research on energy transition, multi-objective collaborative research, key technology breakthrough research, and government market combination research, to enrich the grand narrative and theoretical system of energy transition in the Chinese context.

There are 3 866 ancient and famous trees in Taiyuan, belonging to 30 families, 52 genera and 62 species, mainly Zizyphus jujuba, Sophora japonica, Platycladus orientalis, Pinus tabulaeformis and other native species. Through the analysis of nuclear density, it is found that 9 regions with higher estimated nuclear density are formed in the central and eastern regions of Taiyuan. The main gathering areas of jujube, Chinese sophora, platycypress and Pinus tabulatus, which have the largest number of ancient and famous trees, are located in the central, eastern and southern, southern, central and northeastern regions of Taiyuan respectively. Based on historical documents, the historical and cultural values of these four major tree species are expounded from the perspectives of folk customs, religious beliefs and ancient city history.

The relationship between employees’ green behaviors, self-efficacy and work happiness was explored from the perspective of individual employees based on resource conservation theory and self-determination theory. The hypotheses were verified through correlation analysis and regression analysis, etc. on the 196 data collected. The results of empirical analyses show that there is a positive influence relationship between employees’ green behaviors and job happiness. Self-efficacy mediates the relationship between employees’ green behaviors and job happiness, as well as the moderating role of interactional equity in the mechanism. The results enrich the research on the aftereffective variables of employee green behaviors, broaden the research on the mechanism of employee green behaviors affecting employees’ work well-being, and also provide useful insights for corporate practices.

Based on the avoidance model, self-efficacy and work alienation were used as mediating variables, and approaching propensity and avoidance propensity were moderating variables, and a theoretical model of work connectivity behavior after-hours on employees’ procrastination was constructed. The data of 281 employee questionnaires was processed and analyzed. The results show that work connectivity behavior after-hours and approach tendency positively interacts with self-efficacy, and reduces the generation of procrastination at work through self-efficacy. Work connectivity behavior after-hours and avoidance tendency positively interact with work alienation and promote procrastination through work alienation.

In order to explore the influencing mechanisms of the safety training effects of the new generational construction workers, questionnaire surveys and interviews on 10 construction projects under construction were conducted to analyze the safety training effects of the new generation of construction workers, consulting the relevant literature, based on the learning theory and training transfer theory, the theoretical model between individual factors, organizational factors, external environment, a structural equation model of training system factors and safety training effects was established and empirically tested. The findings indicate that personal factors have a positive effect on the safety training effect of the new group of construction workers, the external environmental factors have a positive effect on the safety training effect of the new generational construction workers, and the personal, organizational and training system factors play a part of the mediating effect. The training system factors have a positive effect on the safety training effect of the new generation of construction workers, and the role of personality elements in intermediate effects. Organizational factors have a positive effect on the safety training effect of the new generation of construction workers, and individual factors play a partial mediating effect. The results of the study may provide a resource for enhancing the efficacy of safety training for the new group of construction workers.

To realize the production-education integration, these two problems, whom to cooperate with and where to start from, should be firstly solved. Therefore, the method of selection of cooperation partners and starting points based on optimal single index principle was proposed in this paper. The global selection models of cooperation partners and starting points were built. The evaluation index systems for enterprises and universities were established respectively. The Analytic Hierarchy Process was applied to determine the weight of each index, the Questionnaire Research was used to score the qualitative index, the Standard Score theory was applied to standardize the original datas of quantitative index. The implementation procedure to select the cooperation partners and starting points based on optimal single index principle was carried out finally by an example. The research results can open a new way and provide a wide research space for selection of cooperation partners and starting points in the production-education integration.

Personal data has become a crucial production factor in the digital economy era. The transportation sector, being a data-intensive industry, contains much personal data. To address current issues of data storage insecurity and difficulties in data circulation and sharing, constructing a new data service model—Personal Data Bank for Transportation was proposed. This bank emulates the operational model of commercial banks, employing blockchain technology and distributed storage solutions to enhance data security and privacy protection. A contribution-based incentive strategy fosters collaboration between users and the data bank, underlining the importance of user participation and the potential benefits for all stakeholders. The Personal Data Bank for Transportation facilitates data storage, viewing and purchase retrieval, thereby achieving data circulation while clarifying ownership issues in data transactions. Its goal is to ensure personal data’s secure and efficient flow and improve the relationship between enterprises and individual data subjects.

Smart community policy is an important basis for the high-quality development of smart communities. Quantitative research on smart community policies is of great significance to promote the construction of smart communities and improve the intelligent and intelligent level of community governance services. Based on the period from 2014 to 2023, 36 policies on smart communities was issued by the central and local governments, and text mining methods was used to build a smart community policy evaluation index system. At the same time, the PMC index model was used to select 11 representative policies for in-depth quantitative assessment. It is found that eight items are excellent policies, three are acceptable policies, and the average PMC index is 7.26, which shows that the smart community policy formulation is more scientific and reasonable. However, it still needs to be improved in terms of policy nature, timeliness, policy fields and policy content.

Low-carbon transition has become a common choice for countries around the world to cope with the ecological and environmental crisis, and the identification of low-carbon economic development modes has become an academic focus. The low-carbon economic development mode and regional differences were identified among 30 provinces(due to the lack of data, the statistical data mentioned here do not include the Tibet Autonomous Region, the Hong Kong Special Administrative Region, the Macao Special Administrative Region and Taiwan Province) in China from 2006 to 2020 by measuring the contribution rate of carbon productivity and carbon emissions. The results show that the overall trend of China’s economic development is to shift from a high-carbon economy to a low-carbon economy. There is a rebound effect of carbon emissions in the improvement of energy use efficiency. Based on the conclusions of the study, the conclusion show that each region should formulate low-carbon economic policies tailored to local conditions. It should pay attention to joint prevention and control and regional cooperation, and make steady progress in promoting the goals of carbon peaking and carbon neutrality.