Based on the matching relationship between the spatial allocation level of facilities and the population distribution of community living circles, analyzed the distribution characteristics, spatial pattern, and the compatibility of supply and demand of facilities and proposed various facilities planning suggestions. The findings indicate that: ① All kinds of facilities exhibit a spatial agglomeration pattern characterized by “core concentration and edge diffusion,” with notable spatial disparities among different facility types; ② There is a mismatch between the supply of facilities and the needs of community residents, resulting in incomplete or uneven overall coverage within the built area; ③ The degree of alignment among various regions, facility types, and population distributions exhibits significant variation, with highly compatible living circles primarily situated in urban or district center areas, whereas those with mismatched compatibility are predominantly located in the urban fringe areas; ④ Following the addition of 103 kindergartens, 155 primary schools, 230 community health service centers, and 207 nursing homes and daycare centers, the adaptation of various facilities to the population has significantly improved. This study is expected to provide insights for Zhengzhou in achieving a “people-oriented” approach to new urbanization.

This study integrates the “New” and “Quality” aspects of new quality productive forces, along with the constituent elements of productivity, into an evaluation index system. The development level of new quality productive forces in China’s provinces from 2011 to 2022 is assessed using the entropy weight method. Subsequently, the nonlinear Granger causality test is employed to examine the spatial correlation of new quality productive forces. Finally, the social network analysis method and exponential random graph model are utilized to analyze the structural characteristics and influencing factor of this spatial correlation network. The results show that the level of new quality productive forces in China has been rapidly improved during the sample investigation period, and the level of new quality productive forces in the eastern coastal area is relatively high. In the spatial correlation network, the eastern provinces mainly play the role of “engine”, while the central and western regions mainly accept the spatial spillover from the high-level regions. The spatial correlation of new quality productive forces is mainly one-way conduction, and the situation of “mutual benefit” coordinated development among provinces has not yet formed. In terms of the formation mechanism, improving the level of economic development, the proportion of tertiary industry, the level of marketization and the degree of opening degree will be conducive to the formation of the spatial correlation of new quality productive forces. The proximity of geographical distance and economic distance promotes the transmission of the spatial correlation of new quality productive forces among provinces, and forms internal circulation subgroups among provinces with similar levels.

This study utilizes the entropy method to calculate the new productive forces within the Grand Canal cultural belt thoroughly exploring its spatiotemporal differentiation characteristics, leveraging the XGBoost-SHAP machine learning model, investigated the influencing factors to explore their interactive effects.Research indicates that the development level of new productive forces in the Grand Canal cultural belt follows a fluctuating growth pattern. In contrast to green productivity and technological productivity, digital productivity constitutes a significant proportion of the new productive forces.There are notable disparities in the development level of new productive forces across different regions. Some cities at the prefecture level in Beijing, Jiangsu, and Zhejiang Provinces excel in their development of new productive forces, while Henan and Anhui provinces lag behind. Furthermore, the level of new productive forces in various regions experienced a general improvement in 2020.The aggregation effect along the Grand Canal presents a “triangular” distribution phenomenon, and shows the development trend of “two corners of the aggregation folder dispersion”.The density of mobile phone users per one hundred individuals and total factor productivity emerge as predominant factors influencing the quality of new productive forces in the Grand Canal cultural belt, with interactions observed among these pivotal factors.This study provides insights into capturing the spatiotemporal differentiation characteristics of new quality productive forces, while also offering guidance on how to better navigate their development based on influencing factors.

Based on resilience theory, an evaluation index system for innovation resilience is constructed from three dimensions: resistance, recovery, and regeneration and is utilized to measure the innovation resilience levels of 30 provincial administrative regions in China from 2011 to 2022. Furthermore, methods such as entropy method, Kernel density estimation, Dagum Gini coefficient and its decomposition, spatial Markov chain, and spatial Durbin model are employed to investigate the spatial and temporal differentiation characteristics and influencing factors of China’s regional innovation resilience levels. The results indicate the following: (1) China’s regional innovation resilience exhibits a steady upward trend with fluctuations over time, indicating considerable room for improvement in the future. (2) Significant disparities exist in the level of regional innovation resilience in terms of spatial dimensions, presenting a non-equilibrium pattern of “high in the east and low in the west” with pronounced spatial clustering characteristics. (3) The overall differences in innovation resilience levels are continuously expanding, with inter-regional differences being the primary source of overall variation, especially between the eastern and western regions. (4) The transition of innovation resilience levels demonstrates stability, accompanied by the phenomenon of “club convergence”. (5) Economic development level, digital infrastructure, industrial structure upgrading, and innovation and entrepreneurship activity are significant factors influencing the level of regional innovation resilience in China.

The comprehensive evaluation index system for the new quality productivity in construction industry was constructed from the three dimensions of new quality productivity. Based on the data of 30 provinces in China from 2016 to 2022, methods such as the entropy weight-TOPSIS, Dagum Gini coefficient, Kernel density, and Markov chain were employed to deeply discuss the spatiotemporal variation, regional differences, and transition characteristics of the development level of new quality productivity in China’s construction industry. The results show that: (1) The development level of new quality productivity in China’s construction industry is generally on the rise, but there is also an obvious imbalance between the four regions, forming a development pattern of “high in the east and low in the west”. (2) Inter-regional disparities are the primary cause for the disparities in the development level of new quality productivity in China’s construction industry, and there are significant inter-regional differences between the eastern and northeastern, as well as the western regions. (3) There is a significant spatial spillover effect in the development level of new quality productivity in the construction industry, and the improvement of neighboring provinces’ development levels can increase the probability of the province’s upward transition to a higher level.

Based on panel data from 30 provinces in China from 2010 to 2022, this article explores the relationship between new quality productivity and talent agglomeration using PVAR and BCC-O models. The results show that: (1) The level of new quality productivity and talent agglomeration in China have been increasing year by year, and the spatial distribution shows a stepwise decreasing trend from east to west. Talent aggregation has a positive effect on the improvement of new quality productivity, and the improvement of new quality productivity also drives talent aggregation, and the short-term strengthening effect of talent aggregation is stronger. (2) The new quality productivity is affected by its own impact, and the “Matthew effect” of the development of new quality productivity is obvious, maintaining a long-term non negative response to talent aggregation. (3) The strengthening effect of talent aggregation under the “siphon” effect is enhanced; In the very short term, talent agglomeration has a positive impact on new quality productivity, but later on, the impact of talent agglomeration on new quality productivity is not positive, which may be caused by the imbalance of talent structure and regional development, industrial structure mismatch, talent internal consumption and other problems. Therefore, it is necessary to firmly establish the strategic position of talent aggregation leading new quality productivity, adjust the talent structure based on regional industrial and technological structure, appropriately guide talent aggregation, and develop scientific and technological productivity, green productivity, and digital productivity through targeted efforts to build a modern economic system, innovate production technology and methods, and explore digital development models.

91 national and provincial-level traditional villages on Hainan Island were selected as the research objects, and their distribution characteristics, influencing factors, and driving mechanisms were explored using methods such as GIS spatial analysis, geostatistical methods, and geographic detector models based on optimal parameters. The results show that: (1) Traditional villages on Hainan Island have strong spatial distribution imbalance and obvious clustering characteristics, showing an overall pattern of “high in the east and low in the west, high in the north and low in the south, with multiple points in one cluster”. (2) In terms of the connection between natural and cultural elements, most traditional villages on Hainan Island tend to be distributed in urban intersections or suburban areas with low terrain, abundant water sources, high vegetation coverage, and concentrated cultural relics units, and rely on county roads as connecting roads. (3) In terms of influencing mechanisms, overall, regional cultural influence is the strongest, followed by economic development level, and the natural environment is the weakest, with enhanced interaction between various factors. In the stage of the formation of traditional villages on Hainan Island, natural and cultural factors dominate the formation of villages, while natural factors, especially resource conditions, influence the development of traditional villages. Economic and cultural factors dominate the transformation and protection of villages. (4) Through comparative analysis of various provinces, cultural factors have a dominant driving role in Hainan Island and some southwestern regions, and cultural development should be valued, cultural diversity should be fully utilized, and cultural background should be protected.

The coupling and coordination of high-quality development of social security and regional economy is of great significance to promote the new journey of Chinese modernization. Based on panel data from 30 provinces in China from 2013 to 2022, this article explores the spatiotemporal pattern, dynamic evolution, regional differences, and driving factors of the coupling coordination degree between high-quality development of social security and regional economy. The research finds that: (1) The coupling coordination degree of the whole country and the three regions show an upward trend, but there is significant spatial differentiation, showing a development trend of high in the east and low in the west. (2) The coupling coordination level has the characteristic of “club convergence”, which makes it difficult to achieve leapfrog development in the short term. After considering spatial factors, coupling coordination degree has a “spatial spillover” effect. (3) The spatial differences in coupling coordination degree are showing a convergence trend, and regional differences are the main cause of coupling coordination degree differences. (4) The level of urbanization, technological innovation, and fiscal decentralization have positive direct effects and negative spatial spillover effects on the coupling coordination degree, while the level of finance, education, and information have positive direct effects and positive spatial spillover effects.

Taking eight comprehensive economic zones in China as the research area, this paper constructs a new quality productivity index system based on new workers, new labor materials and new labor objects, and explores the development level, dynamic evolution, spatial differentiation and convergence of new quality productivity in eight comprehensive economic zones in China by using entropy method, kernel density estimation, Dagum Gini coefficient and conditional β convergence model respectively. The results show that: (1) The average development level of new quality productivity in eight comprehensive economic zones in China shows an increasing trend year by year from 2015 to 2022, and the development level in the eastern coastal area is the highest and that in the northwest area is the lowest regardless of the comprehensive level or the subdivision dimension of constituent elements; (2) The absolute difference in the development level of new quality productivity in each economic zone has become larger, while the relative difference has gradually narrowed; The difference between subgroups is the main source of the development difference of new quality productivity in eight comprehensive economic zones; (3) The development of new quality productivity in northern coastal areas, eastern coastal areas, southern coastal areas, the middle reaches of the Yellow River and the middle reaches of the Yangtze River is characterized by conditional β convergence; The β coefficient in the northeast, southwest and northwest regions is negative, but it fails to pass the statistical significance test, and there is no significant conditional β convergence effect. The research conclusion provides a basis for analyzing the temporal and spatial pattern of new quality productivity in eight comprehensive economic zones and has policy implications for promoting the coordinated development of regional new quality productivity.

Grounded in the connotation of high-quality development and guided by the new development paradigm, a five-dimensional evaluation index system for assessing the high-quality development of regional tourism was constructed. By employing the geographical detector method, the analytic hierarchy process (AHP), and fuzzy mathematics, an evaluation model was established. Taking Fenghuang Ancient Town as a case study, the research evaluated the high-quality development level of its tourism industry and identified the primary driving factors. The findings indicated that: ① The overall tourism high-quality development of the ancient town of Fenghuang is at a high level, and decreases from the two sides of the Tuojiang River in the scenic area and its southern historical and cultural neighborhoods to the surrounding area; ② The spatial distribution of the level of high-quality development of the tourism of the ancient town of Fenghuang is in high consistency with the zoning state of the protection of the ancient city; ③ The main driving factors of the five dimensions of high-quality tourism development in Fenghuang Ancient City are the innovative combination ability of tourism resources, tourist satisfaction, environmental quality, tourism openness and cultural transmission and inheritance. ④ The two dimensions of open development and innovative development have the greatest effect on the high-quality development of Fenghuang Ancient City tourism.

Based on the statistical data of population from 1990 to 2020, using spatial autocorrelation analysis and linear trend analysis, the temporal and spatial evolution characteristics of total fertility rate in five northwestern provinces is studied. The results show that: (1)From 1990 to 2020, the total fertility rate of the five northwestern provinces showed a declining trend, but it was higher than the national average. The urban-rural difference in total fertility rate has narrowed, and all of them were at a low fertility level.(2) The total fertility rate (TFR) in the five northwestern provinces of China demonstrates a distinct polarization phenomenon. High-value clusters have gradually shifted from the western part of the study area towards the eastern and southern regions, while low-value clusters have migrated from the southeastern areas to the western zones. This dynamic ultimately formed a spatial distribution pattern characterized as “low in the west and high in the east”.

Adhering to the principle that the quality and quantity of the development of the catering industry are equally important, the development level index of the catering industry was constructed according to the number of reviews and comprehensive scores of registered merchants on Meituan.com. The spatial distribution pattern of the catering industry in urban area in Shanghai and its influencing factors were analyzed by using kernel density analysis , OLS and GWR models. The results show that: (1) The spatial distribution of catering industry in urban area in Shanghai is extremely unbalanced, showing the characteristics of “core-periphery” circle distribution and extending along the road; (2) The agglomeration of different types of catering industry is quite different. The local Jiangsu and Zhejiang catering industry and foreign traditional local cuisine belong to “single-core agglomeration”, while the international catering industry is “dual-core linkage”, and the leisure snacks and fast food show the characteristics of “multi-core group”. (3) The influence factors and intensity of different types of catering industry have obvious spatial heterogeneity. Office buildings, commercial centers and population have a positive guiding effect on the development of the catering industry, while the road network and 3A hospitals have a reverse inhibiting effect.

Over the past two decades, the study of migrants’ leisure has undergone a notable transition from a focus on “internal structures” to an examination of “external opportunities or constraints.” With migrants’ deepening and diversifying social participation in local cities, their leisure activities and the ensuing social interactions have emerged as significant focal points for geographers investigating migrants’ social integration. To elucidate the trajectory of geographic research on migrants’ leisure, this study employs bibliometric analysis in conjunction with a thorough review of existing literature spanning 1999 to 2023. Through this analysis, it delves into the evolutionary lineage, developmental characteristics, and thematic scope of urban migrants’ leisure both domestically and internationally, thereby constructing a comprehensive understanding of current research trends. Building upon this foundation, the study further organizes and analyzes existing literature on migrant leisure within the context of urban governance, examining four key themes: local public policy and diverse governance discourses, urban public space and infrastructure, social participation and cross-cultural interaction, and social capital and subjectivity negotiation. This endeavor aims not only to augment the existing corpus of research on domestic migration but also to provide practical insights into the contemporary demographic and spatial governance of Chinese cities.

Based on China’s interprovincial panel data from 2010 to 2022, the entropy method, nonparametric Kernel density estimation, spatial autocorrelation, and Geodetector are comprehensively applied to explore the spatio-temporal evolution of China’s interprovincial common prosperity level and its influencing factors. The results show that: (1) During the study period, China’s interprovincial common prosperity level has been increasing year by year, and the differences in the interprovincial common prosperity level have been narrowing, with higher common prosperity levels in Beijing, Shanghai and Zhejiang, and lower common prosperity levels in Xinjiang, Gansu, Qinghai and Xizang. (2) There is a significant spatial correlation between interprovincial common prosperity level in China, and the correlation is “M” type evolution. (3) The core factors influencing the spatial differentiation of China’s interprovincial common prosperity level are the level of economic development, the level of opening up to the outside world, and digital inclusive finance; There are obvious differences in the influence of different factors on the spatial differentiation of the common prosperity level, and the interaction between the factors enhances the explanatory power of the spatial differentiation.

Based on cross-sectional data from the Xinyang Revolutionary Base Area in the Dabie Mountains in 2021 and time series data from Xinxian County from 2009 to 2021, using methods such as OLS, ARDL, and VAR model, combined with the development foundation of the Xinyang Revolutionary Base Area in the Dabie Mountains and rural revitalization in Xinxian County, the article explores the effect of new quality productivity on rural revitalization, in order to provide development ideas for the revitalization of underdeveloped revolutionary base areas. The results indicate that: (1) The essence of new quality productivity is advanced productivity, which drives rural industrial revitalization, talent revitalization, ecological revitalization, cultural revitalization, and organizational revitalization. (2) There are significant regional differences in the level of new quality productivity and rural revitalization in the revolutionary old area of Xinyang in the Dabie Mountains. The level of rural revitalization and development of new quality productivity in Xinxian County is in the low range of the revolutionary old area of Xinyang in the Dabie Mountains, and it is necessary to accelerate the cultivation of new quality productivity and rural revitalization. (3) The new quality productivity in Xinxian can effectively promote rural revitalization, and rural revitalization can also provide a good foundation for the development of new quality productivity. The self strengthening effect of new quality productivity and rural revitalization is obvious, promoting the development of new quality productivity and accelerating the pace of rural revitalization in Xinxian. Therefore, it is necessary to cultivate new quality productive forces, promote the deep transformation and upgrading of rural industries, achieve the alignment between rural talents and regional development, give full play to the ecological characteristics of rural mountainous areas, promote rural red culture, and strengthen rural organizations.

Some models are used to analyze the coupl-coordination degree and the influenc-factors among them in China provinces during 2015—2021. The results show that:(1)Digi-economy and scien-tech innovation of each region are significantly improved but the eco-environment level showed a fluctuating trend.(2)The coordination level of both the binary system and the composite system was increased, where digi-economy system is the most. (3)The spatial distribution of coordination level of the composite system showed that the east is higher than the center and the west, and the coast than the interior, and there is a positive correlation between the distribution and the development level for those regions.(4)The degree of the influen-factors, whose are govern-financ support, opence to outside world, economic development and advanced industrial structure, is obvious spatial difference and decreasing in order. Based on the coupling resulsts, proposed countermeasures to promote the coordinated development in each region and even in the whole country.

In order to achieve the balance between economic development and carbon emission reduction, the Tapio decoupling index, spatial autocorrelation and spatial Markov chain models were used to explore the spatial and temporal dynamic evolution characteristics of inter-provincial carbon emission decoupling in China from 2001 to 2022, and based on the convergence model conducts club division analysis so as to reveal the evolution of inter-provincial decoupling relationships in China, aiming to seek the path of low-carbon development. The results show that: (1) The type of decoupling in China’s provinces gradually develops from diverse coexistence to dominated by weak decoupling from 2001 to 2022, showing an overall improvement in development. (2) The global spatial positive autocorrelation of carbon decoupling is notable, with local areas showing a tendency towards LL aggregation. Additionally, the east-west spatial differentiation is becoming increasingly pronounced, with polarization effects occurring. (3) There are few leap-forward decoupling transfers, and the transfer probabilities vary depending on the decoupling status of the neighborhood. Provinces that achieve ideal decoupling can generate positive spatial spillover effects and promote low-carbon lock-in, whereas provinces with undesirable decoupling experience negative spillover effects. (4) The overall level of decoupling in China has not yet reached the same steady state. A total of 6 convergence clubs were obtained through local testing, showing a significant convergence effect internally.

Taking Gucheng Village in the Loess Plateau hilly-gully region of Longzhong as a case study, this research constructs a vitality assessment indicator system through field surveys and categorizes the village types. By introducing the concept of “dual restoration”in settlements, the study explores targeted pathways for the protection and development of the village. The results show that: (1) The village is currently in a state of inactivity, significantly affected by five factors: local ecological environment, protection of indigenous culture, economic vitality of the village, protection and development mechanisms, and villagers’ willingness and demands. The higher the scores of these factors, the higher the level of vitality in the village’s development. (2) Among the indicators influencing the vitality development of the village, the two most significant factors are historical culture and villagers’ demands, followed by ecological environment, economic industries, and protection mechanisms. (3) Based on the indicator system and the village’s current challenges, priority should be given to formulating development strategies for village protection in the region, tailored to local conditions, focusing on five aspects: ecology, culture, economy, mechanisms, and population.

By introducing the complex adaptive systems (CAS) theory, this study explores the mechanism of the integration between the digital economy and the cultural and tourism industry, and constructs an indicator system. Based on provincial panel data from 1998 to 2023, this research employs the coupling coordination degree model, Dagum Gini coefficient, and Geodetector to investigate the regional disparities in the integration of the digital economy and the cultural and tourism industry, as well as their underlying causes. The research findings indicate that from 1998 to 2023, the integration level of digital economy and cultural tourism industry shows an overall upward trend, yet remains at an early stage. As the integration level steadily rises, the development disparities among provinces have gradually tended to balance out. Inter-regional differences constitute the primary source of uneven integration development, but these differences are gradually narrowing. Intra-regional differences have a relatively minor impact on the integration level, exhibiting a pattern of “in order of Eastern region, Western region, Northeast region and Central region from large to small”. Policy support, tourism enterprises, digital infrastructure construction, and technological innovation are the core driving forces propelling the integrated development of the digital economy and the cultural and tourism industry.

Taking the 105 counties (cities) in Henan Province as the research object, this paper uses the super-SBM model to measure the territory spatial efficiency and uses the modified gravity model and social network analysis to analyze the spatial correlation network from 2000 to 2022. The conclusion is as follows: (1) There are significant differences in efficiency gradients among different spaces from 2000 to 2022, with both spatial dynamics and heterogeneity characteristics coexisting. (2) The evolution level of the efficiency network transitions significantly, but each space is still dominated by a five level network with low connectivity levels, and the spatial correlation in the southern region of Henan is at the edge of the network. (3) The network density first increases and then decreases, and the spatial correlation network pattern appears, but there are still problems such as poor network structure stability and loose relationships. (4) The core position of the network presents a ribbon structure from Zhengzhou-Luoyang to Zhengzhou-Kaifeng-Xuchang, and Zhengzhou has always had a strong spatial spillover effect. Xinxiang and Xuchang are key nodes connecting the northern and southern regions of Henan. Moreover, the spatial clustering phenomenon between each plate is significant, but it has not formed a good cycle transmission framework.