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.

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 spatial differentiation and evolution of urban housing price is an important perspective to analyze urban spatial structure. This paper analyzes the spatial structure and evolution of housing prices based on the housing transaction data in Shanghai from 2015 to 2022 using the geographical weighted regression model to explore the spatio-temporal changes of the impact of education, transportation, location and other factors on housing prices. The study indicates that the housing price in Shanghai generally presents a decreasing structure with multiple centers and circles, and there is a trend of high concentration in the central urban area and residential suburbanization; The spatial pattern of housing price presents the pattern of “circle+fan+enclave”. The housing price is significantly affected by the distance from the city center, education resources, and transportation convenience. In terms of time, the impact of high-quality education resources and park green space on the price of neighboring houses is increased, while the impact of transportation convenience on the house price is decreased. In terms of space, the influencing factors have significant spatial heterogeneity, and education resources, park green space and commercial supporting resources have a greater impact on suburban housing.

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.

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 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.

Through a systematic review of 418 articles published in the Island Studies Journal from 2006 to 2023, this study analyzes the main topics of international island research with the aim of providing insights for the theoretical development and expansion of research perspectives in domestic island geography. The research primarily covers seven directions: island concepts and theories, island economics, island politics, island social culture, island migration, island ecology, as well as the Anthropocene, climate change and sustainable development. Notably, the fields of island concepts, economics, and social culture have yielded substantial results, while attention to other areas has been relatively limited. In recent years, influenced by geographic thought, discussions on island theory have deepened, particularly regarding space and mobility. Additionally, island research has critically reflected on traditional topics, enhancing focus on issues such as archipelagos, migration, colonialism, and sustainable development. In contrast, domestic research on islands shows an overall state of stagnation. Moving forward, domestic island geography should actively draw on international cutting-edge theories and methods to provide policy recommendations for the sustainable utilization of island regions and the sustainable development of marine territorial resources.

From a geopolitical perspective, global shipping is no longer a microeconomic activity, but a historical development condition for maintaining world connections and resource flows. Accordingly, a theoretical research framework has been constructed from three dimensions “country, routes, and chokepoints”. Further empirical analysis reveals that key resources face significant risks. Various resources rely on a few countries or the Middle East. Shipping must pass through key geopolitical regions, with the Middle East routes presenting prominent risks. Major chokepoints are identified as high-risk area, where U.S. military bases exert strategic influence. The research then proposes countermeasures for governing geopolitical risks in resource shipping.

Taking 1 749 counties in China from 2015 to 2021 as the research object, this paper constructs a county-level common prosperity index evaluation system from the three dimensions of affluence, commonality and sharing of development results, and uses the entropy weight method to measure it, and at the same time, the regional differences and spatiotemporal evolution characteristics of county-level common prosperity development in China are investigated. The results show that the level of common prosperity in counties across the country has increased significantly, and the common prosperity among counties has a significant positive spillover effect, but the overall level is not high. Regional development differences show that the counties in the eastern region have the highest level of common prosperity, but the central and western regions have the largest growth rate, and gradually give full play to their late-mover “catch-up advantages”. The results of spatiotemporal evolution show that the spatial distribution of common prosperity presents the characteristics of “eastern leading, overlapping high and low, and obvious agglomeration”. The development of common prosperity between counties is gradual, and there is a “club convergence” effect and a certain path dependence.

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 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.

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.

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.

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.

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.

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”.

Based on the inter-provincial panel data from 2011 to 2020, the development level of common prosperity is measured using the vertical and horizontal split grade method, and the Markov state transition analysis is conducted. The spatiotemporal geographical weighted regression model is used to explore the main factors affecting the development of common prosperity. The research findings are as follows: (1) During the inspection period, the development level of common prosperity in China shows an upward trend, but the regional differences are different. The development level of common prosperity in the east is the highest, while that in the west is the lowest; (2) When there are differences in the development of common prosperity in neighboring provinces, the probability of common prosperity development in this province being affected and shifting is different, and the development of common prosperity has significant space-time inertia and path dependence; (3) The strength of the influencing factors of the development level of common prosperity shows obvious spatial and temporal heterogeneity. Among them, opening up, digital finance level, and economic development level promote the development of common prosperity, while industrial structure inhibits the development of common prosperity.

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.

This study uses the fourth to seventh Yunnan Provincial Census data to conduct a visual study on the evolutionary characteristics and trends of the spatial distribution of Yunnan's population at the county scale through methods such as population distribution structure index, population center of gravity, population quantity and density change analysis. The results show that: (1) The population of each county in Yunnan has generally maintained growth, but a population reduction zone has formed along the “Dayong-Lancang Line”, causing the population spatial pattern to show the characteristics of “collapse in the middle and growth on both sides”. (2) The population growth rate of counties in Yunnan has generally declined in recent years, and population growth shows the spatial characteristics of “fast in the east and slow in the west”. The imbalance of population distribution is even more obvious, showing the characteristics of “dense in the east and sparse in the west” spatially and showing a gradually strengthening trend, and structurally showing the characteristics of agglomeration from general counties to regional central cities. (3) In recent years, a “C”-shaped population agglomeration belt has appeared in eastern Yunnan. This area has already been the core area of Yunnan's population growth in the future. (4) The “Dayong-Lancang Line” has shown a certain rationality and significance as the boundary dividing the east and west distribution of Yunnan's population.