On the basis of constructing an evaluation index system for energy consumption and green development level, the entropy method, coupling coordination degree model, Dagum Gini coefficient and its decomposition were used to calculate the coupling coordination level of energy consumption and green development in 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) of China from 2006 to 2021, and the regional differences in coupling coordination level among different regions were analyzed in depth. Research shows that the overall level of coupling and coordination between energy consumption and green development in China is on the rise, but the western region leads in energy consumption, while the eastern region leads in green development.The coupling coordination level between energy consumption and green development shows an increasing trend, with the overall level shifting from low coordination to moderate coordination, presenting a situation of “high in the east and low in the middle and west”. The overall difference in the coupling coordination between energy consumption and green development in the four major regions of East, Central, West and Northeast China is gradually narrowing, and the main source of the difference is regional differences. Reference is provided for promoting the deep integration of energy consumption and green development, and achieving the “dual carbon” goal.

Data mining techniques was used to analyze the impact of internal control quality on the disclosure of risk warning information and the mediating role of ownership concentration was explored. Based on data from A-share listed companies in China from 2018 to 2022, it is found that improving internal control quality can reduce the disclosure of risk warning information and validate the mediating effect of ownership concentration. Additionally, internal control quality positively influences the quality of risk warning information disclosure. Enterprises are more sensitive to operational, financial, political and legal risks, but less sensitive to strategic risks. Therefore, companies should strengthen internal control management and adjust ownership concentration appropriately to reduce the disclosure of risk warning information.

As an important part of the regional innovation system, the innovation ability of local universities is crucial to the high-quality development of the regional economy. Based on the panel data of 27 provinces in China from 2010 to 2022, the impact of data elementalization on the innovation ability of local universities was empirically explored. The results show that data elementalization significantly enhances the innovation ability of local universities, and the positive effect of different innovation quantile points is gradually enhanced. Data elementalization indirectly promotes the improvement of the innovation ability of local universities through intelligent innovation drive and industrial structure optimization. In the central and western regions, where the innovation intensity and industrialization level are low, the promotion effect of data elementalization on the innovation ability of local universities is more obvious.

In order to evaluate the development status of cities and their impact on economic growth, combined with the five new development concepts of innovation, coordination, green, openness and sharing, the evaluation index system of urban high-quality development was constructed, the indicators were screened by OLS least squares method, the impact of high-quality urban development on economic growth and the prediction effect the explored by deep learning method, and the prediction results and accuracy of the multivariate LSTM neural network model and the improved multivariate LSTM neural network model were compared. The results show that the multivariate LSTM neural network model with attention mechanism has better prediction effect, the root mean square error RMSE of the model is reduced by 25%, and the coefficient of determination R² reaches 0.9856.

The Loess Plateau is an important ecological zone in China. The changes in vegetation coverage were investigated in the Loess Plateau region from 2001 to2016, as well as the impacts of climatic factors and human activities on it. The result shows that the vegetation coverage in the Loess Plateau has generally exhibited an increasing trend, with a significant extension of the growing season. Overall, the vegetation coverage in the Loess Plateau has a weak or negative correlation with temperature, while it shows a positive correlation with precipitation. Among different land use types, the vegetation coverage of arable land, forest land and grassland has generally increased, whereas the vegetation coverage of water bodies, built-up areas and unused land has decreased overall.

Since its inception, new quality productive forces have garnered extensive attention from both theoretical and practical circles. To objectively grasp and deeply understand the research progress and evolution trends of new quality productive forces, the China National Knowledge Infrastructure(CNKI) database and the CiteSpace software were used to analyze 950 articles published in CSSCI, CSCD, and Peking University Core Chinese Journals. By sorting out the research progress and hotspots, and mapping a knowledge graph, the results reveal that since September 2023, the number of publications in the field of new quality productive forces has grown rapidly, and several influential scholars and research institutions have emerged. However, most scholars lack stable cooperation relationships, showing an overall pattern of “local agglomeration and overall dispersion”. The cooperation among research institutions is not tight, with noticeable regional cooperation but limited cross-disciplinary cooperation. In terms of research hotspots, technological innovation and digital economy have become the focus of scholars’ attention. The integration of new quality productive forces with technological innovation, new quality productive forces and emerging industries, as well as the empowerment of new quality productive forces, have emerged as new research trends. In the future, it needs to build upon current research achievements and continue to deepen the study of new quality productive forces from three aspects, such as strengthening the theoretical and rational explanation of new quality productive forces, expanding the research dimensions of new quality productive forces, and extending the research methods of new quality productive forces.

In order to sort out the current research status, stage hotspots and development trend of rural education digitization in China, an in-depth analysis of the high-quality literature included in the China Knowledge Network database in the past 20 years with the help of CiteSpace software was conducted. It is found that: firstly, the research on digitalization of rural education can be divided into four stages, namely initial exploration, rapid growth, steady development and rapid growth; secondly, the researchers have not yet formed a close research cooperation network; thirdly, there is a lack of a single research methodology and multidisciplinary perspectives; fourthly, the research has gradually shifted from a focus on localised rural development to a balanced urban-rural education. Looking to the future, it is necessary to strengthen the construction of the research team and establish an academic research community, expand research perspectives and promote the diversification of research paradigms, and broaden the scope of research and refine the content of research.

Land is the basis for villagers to carry out production and maintain their survival, and the mode of production and operation of agricultural land is the first and foremost manifestation of land use. Adequate scale operation of land is a major change in the mode of rural management, the key to crack the problem of agricultural development in China, and an effective way to increase farmers’ income and achieve rural revitalization through sustainable agricultural development. Therefore, CiteSpace software was used to sort out and the literature on moderate-scale land management was quantitatively analyzed to show the current status and future trends of research in the field of moderate-scale management of agricultural land. The focus of the future research on land management on an appropriate scale can be summarized as follows: expanding the research field, broadening the research perspective, improving the evaluation standards and research methods of agricultural land management on an appropriate scale, and carrying out spatial and temporal analysis of agricultural land management on an appropriate scale. This paper reviews the literature related to land scale management with a view to informing future research on land scale adequacy.

In order to sort out the research and development of carbon information disclosure in China, based on CNKI database and using bibliometric method and CiteSpace software, 321 core journal literatures collected by CNKI from 2010 to 2024 were visually analyzed from the aspects of annual publication volume, journal distribution, publishing institutions, research hotspots and research trends. The results show that the literature research on carbon information disclosure in China shows an increasing trend, but the degree of cooperation among high-yield authors in this field is not close, and the stable cooperative relationship between research institutions has not been formed. The research in this field mainly focuses on three aspects, such as carbon information disclosure system, influencing factors and economic consequences of carbon information disclosure, and quality evaluation of carbon information disclosure. Under the background of “dual carbon” goal, the construction of carbon information disclosure system combined with specific industries will be the future research direction.

Taking 398 CSSCI literature on ecological governance research in China from 1998 to 2020 by China National Knowledge Infrastructure(CNKI) as the research object, the CiteSpace tool was used to visually analyze the literature characteristics and research hotspots in this field, systematically sort out and explore the hot frontiers and development trends in this field. Research has found that the current average annual publication volume in this field has reached 30 articles, which is the research hotspot with the rapid development in the academic community; The research in this field takes the Chinese Academy of Sciences as the core, and maintains close cooperation with universities or research institutions such as Tianjin University, the Environmental Planning Institute of the Ministry of Ecological Environment and the University of the Chinese Academy of Sciences, forming a relatively wide range of research cooperation groups and some typical institutional cooperation groups. The majority of author collaborations in this field are in groups of 2~4, but a relatively stable core author group has not yet been formed. The research in this field focuses on “ecological environment” as the core hotspot, and the emergence intensity of “environmental governance” “collaborative governance” “restoration governance” and “environmental pollution”is relatively high. Environmental restoration and environmental pollution are the main entry points in this field. The overall trend of research frontiers is from single to comprehensive development, and the hot topics of research include problem analysis and evaluation measurement, exploration of governance measures, and collaborative governance research. The collaborative governance of multiple regional entities and the collaborative governance of regional ecological environment are two important aspects of future research in this field.