With the coming of the information age, mobile information technology represented by mobile devices and wireless networks, is becoming increasingly popular. It is profoundly affecting all aspects of residents’ production and life, including leisure. With the continuous development of social economy, the urban middle class has gradually expanded and become the largest consumer group supporting the urban leisure industry. However, the existing studies pay less attention to the middle class. Based on the leisure questionnaire data of the middle class in Guangzhou, factors such as self-efficacy, availability, dependence of mobile information technology use and socio-economic attributes were selected, a structural equation model was constructed, and the impact of mobile information technology use on the leisure activity choice of the middle class was discussed. It is found that the self-efficacy, availability and dependence of mobile information technology of middle class are significantly positively correlated. The dependence degree of mobile information technology of middle class has a significant direct impact on leisure activities, and the self-efficacy and availability of mobile information technology of middle class have a significant indirect impact on leisure activities by influencing the dependence degree of mobile information technology. The availability of mobile information technology to the middle class also affects their self-efficacy. The study shows that if the middle class has easy access to mobile information technology, has a high sense of self-efficacy towards mobile information technology, they will be more dependent on mobile information technology for leisure activities, and they are more inclined to choose physical leisure. In addition, age, gender, income, occupation, family child ownership and car ownership also have a significant impact on the choice of leisure activities. High income and older middle class prefer physical leisure. Compared with women, the male middle class prefers physical leisure. The middle class who work freely in time and space prefer online leisure. The middle class, with more children and more cars, tend to prefer physical leisure.

Based on panel data from 2001 to 2019, the Tapio model was applied to measure the decoupling effect of carbon emissions and economic growth in Jiangsu and Zhejiang regions, focusing on analyzing the characteristics of their municipal spatio-temporal evolution. The results show that the decoupling of carbon emissions and economic growth in Jiangsu and Zhejiang has been realized since 2006. However, the decoupling is weak in most periods. The period-by-period decoupling effect of cities varies distinctly, for example, the decoupling ratio of Hangzhou in the study period is nearly 90%, while that of Xuzhou, Lianyungang, Suqian, Wenzhou and Quzhou is less than 60%, and strong decoupling is dominant after 2013. The time-period decoupling effect of cities shows an evolution of ‘substantial improvement-slight deterioration-basically stable’, mainly due to the deterioration of decoupling effect of Zhoushan, Xuzhou, Huai’an, Yancheng, Zhenjiang, Lianyungang and Suqian. Compared with Jiangsu, Zhejiang has better decoupling effects by time period, such as Hangzhou is in decoupling status, and the last two time periods show strong decoupling. Xuzhou, Huai’an and Zhenjiang are relatively weak, and all of them are degraded to expanding connections during the 13th Five-Year Plan period. On this basis, corresponding countermeasures are proposed.

Constructing a comprehensive evaluation index system for the level of new quality productivity in the Yellow River Basin, using the hierarchical vertical and horizontal grading method and the TOWA-GA mixed operator to dynamically measure the level of new quality productivity in 9 provinces in the basin from 2013 to 2022, and exploring the spatiotemporal evolution characteristics of the level of new quality productivity in the Yellow River Basin using kernel density estimation, Markov chain, Dagum Gini coefficient, and Moran index. The research results indicate that the overall level of new quality productivity in the Yellow River Basin has significantly increased; In the next year, there is a high probability that the level of new quality productivity in 9 provinces will remain unchanged; There are significant differences and spatial positive correlations in the level of new quality productivity between regions, showing heterogeneity, imbalance, and clustering limitations in spatial distribution.

Taking the Lanzhou-Xining Urban Agglomeration as the research subject, based on the gravity model and urban primacy and in combination with the current situation of each city, the economic qualities of various cities within the area were classified. Then, the economic spatial structure and the interrelationships within the urban agglomeration were analyzed. The results show that Lanzhou City is an important economic growth pole. The connections among cities with lower economic primacy rankings within are weak. Currently, the urban agglomeration faces problems such as insufficient development momentum, resource misallocation, and difficulties in dual-core construction. Corresponding strategies are proposed to provide references for the high-quality economic development of the northwest region under the new mechanism of regional coordinated development.

The failure of the Sci-Tech Innovation financial market mechanism needs to be remedied by the government. Since 2007, the Hangzhou Municipal Government has made remarkable achievements in integrating various financial resources to support the development of Sci-Tech Innovation, including fund support, investment guidance and environmental optimization. However, there were still some problems, such as the imperfect management system of direct funds, the small scale of guiding funds, the lack of innovation in guiding ways, and the imperfect environment of policies, information and credit. It needs to be improved from the scale, structure, efficiency and other aspects.

Taking 202 samples of farmers from Longgang Village and Huoyuan Village in Ganzhou, Jiangxi Province as an example, on the basis of constructing the scale of farmers’ livelihood risk perception and the scale of participation willingness, structural equation modelling was used to analyze the data, and at the same time, basic individual characteristics of farmers were used as the moderating variables to classify the farmers into new and old farmers, and to carry out multi-cohort analyses. The results show that the perception of development risk, production risk and social risk together constitute the perception of livelihood risk of farmers, and all three significantly affect the willingness of farmers to participate, and there is a moderating effect of the basic characteristics of individual farmers on their willingness to participate. Based on this, policy recommendations are proposed to effectively promote sustainable livelihoods for farmers.

Taking the Central Soviet Area of Jiangxi, Fujian, and Guangdong in 2020 as an example, firstly, selecting reasonable cross-sectional data and conducting spatial autocorrelation analysis on county-level objects to empirically demonstrate spatial spillover effects. Secondly, using the coupling coordination degree to calculate the structural effects, multiplier effects, growth effects, and traction effects of digital e-commerce logistics as a new quality productivity for collaborative urban-rural integration development, and conducting correlation analysis with relevant indicators. Finally, compare the overall differences in digital rural index and multi-dimensional digital e-commerce logistics effects among different classifications of county-level objects (by province, city, group, administrative differences, and inter provincial adjacency), in order to clarify the direction of regional coordinated development. In order to promote relevant research work and governance attention.

Jingdezhen is a world-renowned ceramics capital with a rich cultural heritage and economic potential. Through literature analysis and expert consultation, the evaluation index system of Jingdezhen’s cultural and economic influence was constructed from four dimensions, including employment absorption, cultural identity, cultural innovation and welfare improvement. The analytic hierarchy process was used to determine the weight of each index, and the fuzzy comprehensive evaluation method was used to obtain the comprehensive score of each index. The results show that the cultural and economic influence of Jingdezhen is generally good, and the industrial development and cultural resources are the main supports, and relevant suggestions are put forward according to the research results, aiming to provide reference significance for the development of Jingdezhen’s cultural economy.

Implementing the strategy of Rural Revitalization is an inevitable choice to solve the main social contradictions. Under the background of new urbanization, promoting the comprehensive revitalization of the countryside must be based on the countryside, but it cannot be confined to the countryside, it needs to find a more integrated regional space as an effective carrier and an important fulcrum. Because of its special status and unique functions of towns and villages, industry and agriculture, citizens and farmers, county could be used as a basic unit to effectively implement the strategy of rural revitalization and promote the integration of urban and rural development. By promoting the integration of industries with agriculture as the main body, improving public services with rural areas as the main body, and building rural development with farmers as the main part, it is expected to be helpful to explore the comprehensive revitalization of rural areas under the background of new urbanization in counties.

The Yellow River Basin is an important energy supply base in China. Systematic characterization of the energy security level in the Yellow River Basin is of great significance for ensuring energy supply, improving energy efficiency, promoting green energy consumption, and enhancing economic resilience. An energy security indicator system was constructed from the perspectives of supply security, consumption security, green security and economic security. The entropy method was used to measure the energy security levels of eight provinces in the Yellow River Basin from 2010 to 2021. Based on this, methods such as kernel density estimation, Dagum Gini coefficient and spatial Moran index were used to measure the dynamic evolution, regional differences and spatial correlation of energy security levels in the Yellow River Basin. The results show that during the research period, the overall energy security level in the Yellow River Basin show an upward trend, with Shanxi Province and its middle reaches having the highest overall energy security level. The degree of differentiation in the upper reaches of the Yellow River Basin is significant, with significant differences in the middle and lower reaches between regions. However, the phenomenon of energy security imbalance is gradually weakening. The energy security in the Yellow River Basin shows a spatial positive correlation, with uneven distribution among provinces. The middle reaches mainly exhibit a “high high” clustering state, while the remaining provinces mainly exhibit a “low high” and “low low” clustering state. Finally, suggestions are proposed in terms of leveraging regional advantages, developing clean energy and diversifying energy import channels.