This article reviews and compares the theoretical frameworks and research methodologies regarding the spatial relationships between jobs and housing in different social contexts of China and the United States. It also summarizes the policies proposed or implemented in both countries to address these issues.It has found that: 1) In the United States, labor economists raised the "Spatial Mismatch Hypothesis" during the civil rights movement in the 1960s. This hypothesis stated that the high unemployment rates and low income experienced by minorities, particularly African Americans, were attributed to their low job accessibility due to racial segregation in the housing market.; In the 1980s, worsening peak-hour traffic congestion in major cities prompted urban economists to raise the concept of "jobs-housing balance" to investigate the relationship between land use and commutes. 2) From the mid-1980s, geographers and planners extended the theories and measures of jobs-housing relationship from the two economic subfields, involving more emphasis on the spatial relationship between jobs and housing. 3) Following these geographers and planners, Chinese scholars accommodated the theories and measures to the Chinese backgrounds and data availability. Future studies of Chinese cities may focus on the development of theoretical models of jobs-housing relationship that align with China's urban land uses, the utilization of new big data for more valid indicators of the relationship, and the evaluation of policies, among other perspectives.

Based on the panel data of 232 cities in China from 2011 to 2021, this paper uses the entropy weight method to measure the level of high-quality industrial development, and uses Dagum Gini coefficient and spatial convergence methods to comprehensively analyze the status quo, regional differences and spatial evolution characteristics of high-quality industrial development. Research has found that: 1) The overall level of high-quality industrial development in China shows a fluctuating upward trend, with the eastern region having higher levels of high-quality industrial development than the central and western regions; High level and high-quality industrial development regions have shown a certain trend of contraction and agglomeration over time, and this trend continues to strengthen. 2) The overall Gini coefficient of China's high-quality industrial development level shows a fluctuating downward trend. Although there is a slow growth trend in regional differences between the central and western regions, they are still smaller than those in the eastern region. However, the regional differences in the eastern region are continuously narrowing. 3) The high-quality development of industry in the whole country, as well as in the eastern, central, and western regions, shows an absolute β convergence and conditional β convergence trend, with the growth rate of high-quality industrial development gradually converging; The convergence speed of influencing factors has been improved to varying degrees nationwide and in the three major regions.

Using the Coefficient of variation method, Dagum Gini coefficient and the geographic detector, we assessed and measured the level of urban life insurance industry development in 289 cities above prefecture level in China in 2000, 2010, and 2022, analyzed their spatial-temporal differentiation and revealed their influencing factors and the spatial differences of action intensity. The results show that: 1) From 2000, the level of urban life insurance industry development is low but in a rising tendency and the level of urban life insurance industry is higher in eastern China than western China. The growth rate of urban life insurance industry development level presents a strong positive correlation between urban scale. 2) The spatial differences of life insurance industry development level presents a rising tendency, and the main reasons for the spatial differentiation are the inter-regional difference between eights economic regions and the scale gap between the cities of different scale. The greater the difference of city scale, the greater the difference of development level of life insurance. 3) The spatial differences of development level of life insurance industry is a result of multi-factor interaction, and the dominant factor are income from life insurance, density of life insurance,number of patents granted, depth of life insurance, per capita local fiscal revenue, per capita retail sales of consumer goods, resident population. We should adapt ourselves to the requirements of social and economic development, and take which implies differential development of multiple elements according to local conditions as the main strategic development direction in the future.

Based on the digital service trade data of 121 participating countries of the Belt and Road Initiative from 2013 to 2021 and the construction of sharing effect indicators, this article adopts exploratory spatial analysis to identify the pattern changes of the digital service trade network in the study area, and tests its sharing effect through the fixed effect model, and further analyzes its heterogeneity characteristics and threshold effect. The research finds that: 1) The Belt and Road Initiative is conducive to the sharing of the development achievements of digital service trade among participating countries. The sharing effect of digital service trade under the Belt and Road Initiative has a significant positive impact on their exports. 2) The digital service trade exports of low- and middle-income countries along the Belt and Road, non-neighboring countries of China, coastal countries, Asian and African countries have benefited more significantly under the effect of the sharing effect. 3) The sharing effect of digital service trade under the Belt and Road Initiative affects its exports through means such as the connection of technology spillover and industrial upgrading. Moreover, it is influenced by the dual threshold of cultural distance. When the cultural distance is moderate, the sharing effect of digital service trade has the greatest promoting effect on its exports. On the basis of the above, it puts forward corresponding countermeasures and suggestions: establishing high-standard rules for digital trade along the Belt and Road Initiative, strengthening the construction of digital infrastructure, deepening policy communication and cooperation, and expanding cooperation with low- and middle-income countries and non-neighboring countries.

This study constructs an indicator system of regional new quality productive forces from four dimensions: laborers, objects of labor, means of labor, and pervasive factors. Using the panel data of 284 prefecture-level and above cities in China from 2012 to 2022, this study empirically examines the impact effects and operational mechanisms of fintech on new quality productive forces, as well as the moderating effect of institutional innovation. The findings reveal that: 1) The level of China's new-quality productive forces maintains rapid growth, but there are significant regional disparities. 2) Fintech promotes the development of new quality productive forces, exhibiting regional heterogeneity. 3) Fintech influences the development level of new quality productive forces by optimizing resource allocation efficiency and driving industrial structure upgrading. 4) Institutional innovation exerts a positive moderating effect on fintech's promotion of new quality productive forces. The advancement of supply-side financial regulatory sandbox pilot policies and the implementation of pilot policies of demand-side intellectual property pledge financing both enhance fintech's catalytic role in new quality productive forces. Therefore, differentiated regional fintech development strategies should be implemented, focusing on resource allocation and industrial upgrading pathways, deepening institutional innovation, establishing a regulatory and service system compatible with fintech development.

Using on the methods of VAR Granger causality test, social network analysis method and exponential random graph model, and based on the data of the digital economy development level in 63 cities of the Yangtze River Economic Belt in 2006-2024, this paper explores the spatial correlation network and evolution mechanism of digital economy in the Yangtze River Economic Belt as a whole, within the three major urban agglomerations, and among the three major urban agglomerations. it's found that: 1) The digital economy development level of the three major urban agglomerations in the Yangtze River Economic Belt basically maintains a continuous growth state from 2006 to 2024. There are obvious urban agglomeration differences in the level and rising rate of digital economy development, and its growth rate fluctuates greatly. 2) The spatial correlation network of digital economy in the Yangtze River Economic Belt presents the structural characteristics of "center-edge", forming two typical modes of aggregated development represented by Suzhou and endogenous development represented by Chongqing, and the network structure is changing from a single core to multiple cores. 3) By dividing the four major functional sectors through the block model, the spatial correlation network of the digital economy in the Yangtze River Economic Belt has a hierarchical interaction mechanism of "core leading, growth pole radiating, intermediary conduction, periphery absorbing". 4) The formation of the spatial network of the Yangtze River Economic Belt and the three major urban agglomerations is non-random and differentiated among the urban agglomerations, and the endogenous structural effect shows a "U-shape" or "inverted U-shape" evolution. Factors such as high-quality talents and industrial structure in different urban agglomerations show the "stage double-edged sword effect", and the positive influence of economic geographic matrix on network formation gradually diminishes with time. 5) In the overall spatial correlation network of urban agglomerations in the Yangtze River Economic Belt, the Yangtze River Delta urban agglomeration and the urban agglomeration in the middle reaches of the Yangtze River overflow each other, and the Yangtze River Delta urban agglomeration and the urban agglomeration in the middle reaches of the Yangtze River produce spatial overflow to the Chengdu-Chongqing urban agglomeration, driving the development of digital economy in the Chengdu-Chongqing urban agglomeration.

Based on the analysis of the 5th, 6th, and 7th National Population Census and the corresponding panel data, this research analyzes the spatial process and type characteristics of the population shrinkage in Zhejiang Province at the provincial, prefecture, and county levels. On the basis of the above, it applied the methods of multiple linear regression analysis and gravity model to identify the influence mechanism and potential problems of population shrinkage. It's found that: 1) From 2000 to 2020, the population shrinkage of Zhejiang Province increased significantly, the population shrinkage was not obvious at the prefecture level and the county level was the main spatial unit scale reflecting population shrinkage, with significant regional linkage characteristics. Economic, social, and environmental factors jointly constituted the "push force" at the county level and "pull force" at the regional center level that affect population shrinkage. 2) The types of population shrinkage of the counties were mainly categorized into two types: continuous shrinkage and fluctuating shrinkage. Fluctuating shrinkage can be divided into up-down type and down-up type. 3) The main causes of population shrinkage vary among different types of counties. The continuous shrinkage is caused by the superimposed effects of the long-term "push" of ecological protection. For counties with fluctuating population shrinkage, the combined effect of "push" and "pull" factors shows certain regional differences, and the stage characteristics of the industrial development of the counties themselves have an important influence on the fluctuation of population shrinkage. In the process of territorial space planning in developed regions, it is necessary to pay attention to the differentiated population shrinkage characteristics of counties and carry out targeted resource allocation. At the same time, the complementary deployment of county economy, ecological environment and land resources within the region should be carried out in order to realize the adaptive allocation of human and land resources.

Taking the city center of Zhengzhou as the study area, this paper constructs a dynamic measurement model of accessibility integrating multi-source spatio-temporal data which is the distribution of the elderly population, medical emergency resources, road networks, and real-time vehicle speeds, and measures the emergency medical accessibility for the elderly at the residential community scale. It measures the accessibility of emergency medical care on weekdays and non-weekdays, including four time slots: morning peak, evening peak, off-peak, and nighttime. It further analyzes the spatial change characteristics to evaluate spatial equity using a multi-stage Moran's index and improving locational quotient. The results show that: 1) The emergency medical care accessibility for the elderly shows significant spatiotemporal differentiation, the Moran's index values of emergency medical care accessibility for the elderly on weekdays are lower than those on non-weekdays. and it decreases in a stepped manner at the morning and evening peaks. 2) Emergency medical care accessibility for the elderly in commercial housing and medium-priced residential community maintains the highest level across all time slots. There is a gap in the emergency medical care for the elderly in resettlement housing and high-priced residential community. 3) The spatial equity of emergency medical care for the elderly is better in the core urban area than in peripheral regions, better on weekdays than on non-weekdays, and better during off-peak and nighttime than during morning and evening peaks. This method provides a propagable technical framework for the dynamic optimization of urban medical emergency resources and the adaptation to the elderly population.

Based on the direct and indirect carbon emission measurement models, this article estimates the land use carbon emissions in Wuhan urban circle at county level from 2013 to 2019, and analyzes the spatial and temporal differentiation characteristics and influencing factors of land use carbon emissions using spatial exploratory analysis tools, multi-scale geographically-weighted regression model (MGWR), and NPP-VIIRS nighttime light data. The empirical results show that: 1) Carbon emissions from land use in Wuhan urban circle declined slightly each year from 2013 to 2015, increased slightly in 2016, and have been increasing significantly each year since 2017. 2) The overall land use carbon emissions in the Wuhan urban circle exhibit a pattern which is higher in the central region and lower in the surrounding areas, with Wuhan, Huangshi and Xiaogan as the main sources of carbon emissions. 3) There is a significant positive correlation in the spatial distribution of land use carbon emissions across the study areas, and the correlation strength increases year by year, forming the spatial characteristics of high-high agglomeration centered on the main urban area of Wuhan City and low-low agglomeration centered on Huanggang City. 4) Among the four main factors influencing land use carbon emissions, the level of economic development and the degree of land construction and development have a positive influence, while energy efficiency and population density have a negative influence.

Under the background of globalization, the cross-border population flow driven by economic activities has gradually emerged in large cities of China and formed a unique type of employment-oriented international migrant settlement spaces. How to explain the interactive process of "integration-response" between these emerging settlement spaces and the host cities is an important issue in the study of international migrant to China. This study constructs a theoretical framework of "integration-response" for employment-oriented international migrant settlement spaces, empirically analyzes two typical samples of employment-oriented international migrant settlement spaces in Nanjing, further refines and interprets their inherent mechanisms in multiple scenarios. It's found that the "integration-response" of employment-oriented international migrant settlement spaces mainly include five analytical dimensions: spatial dimension, economic dimension, social dimension, institutional dimension, and psychological dimension. The degree of "integration-response" of these five dimensions presents a pattern of decreasing order in the cross-sectional time. Employment-oriented international migrant settlement spaces with different settlement choices have different evolutionary characteristics and inherent mechanisms.

Based on the big data of mobile users' online check-in in Shandong Province, this paper analyzes the spatial distribution of passenger sources, regional market organization, and market competition pattern of airport agglomeration. It's found that: 1) The overall distribution of aviation passenger source in the Shandong airport agglomeration is characterized by the superposition of a "gradually increasing dependence on cities" and an "accelerating decline in regional demand". The statistical characteristics of aviation passenger travel exhibit both a monocentric circle pattern and a multi-centric radiation pattern. 2) The majority of airport hinterland passenger are concentrated within 100km, with nearly two-thirds of passengers in the airport agglomeration located within 50km. 3) There is a significant spatial scale effect in the distribution of aviation passenger markets at the city and county levels, but the overall market shows high concentration characteristics. The primary market share at the city level is mostly above 80%, and the concentration of city-level aviation passenger in most airports is above 0.5, while the county-level is above 0.15. 4) There is no spatial scale effect difference in the structure of aviation passenger markets, and the index of regional differences in market structure between airports at the city level and county level is generally above 0.80. The level of interaction between the source hinterland markets of each airport is relatively low. 5) Qingdao and Ji'nan, the two major air hubs, have become the dominant markets in the hinterland of Shandong airport agglomeration, accounting for over 60% of the total number of counties. The degree of monopoly in the county-level passenger markets is relatively high, with the total number of counties in oligopolistic and monopolistic competitive markets accounting for over 90% of the total. This paper provides a basic research framework and methodological system for the analysis of the spatial organization pattern of airport agglomeration.

Based on the provincial panel data from 2010 to 2022, this paper constructs the measurement system of China's new consumption development index from three dimensions: consumer subject, consumer object, and consumer environment. It analyzes the spatial difference characteristics of China's new consumption development using the Dagum Gini coefficient decomposition method, kernel density estimation, and spatiotemporal evolution process. The research shows that: 1) China's new consumption development as a whole shows a fluctuating upward trend. The regions show an uneven development pattern, which is highest in eastern region followed by central region, northeastern region, western region, respectively, and there are large differences in the level of new consumption development among provinces. 2) The imbalance of China's new consumption development is mainly due to the imbalance of regional development, among which the highest contribution rate is the regional difference between eastern region and western region, followed by eastern region and central region, and the regional difference between eastern region and central region has been significantly reduced after 2015. 3) The measurement results of different dimensions show that the consumption subject, consumption object and consumption environment are all showing an upward development trend, among which the development level of the consumption subject dimension in the whole country and each region is relatively higher. 4) The development of China's new consumption has significant positive spatial autocorrelation characteristics, and the spatiotemporal evolution shows the pattern of "eastern region radiating to central and western regions". In the future, there is still a large development space and potential for new consumption in central and western regions. This study systematically assessed the development level of new consumption in China, providing a theoretical reference for China to formulate and implement policies to encourage the development of new consumption in a way that is tailored to local conditions.

Based on the sample data of 108 cities in the Yangtze River Economic Belt from 2011 to 2022, this paper uses spatial dynamic kernel density, GIS, and other methods to analyze the spatiotemporal evolution characteristics of the performance of digital and green collaborative transformation and empirically tests the impact of industrial intelligence on the performance of digital and green collaborative transformation. It's found that: 1) The performance of digital and green collaborative transformation in the Yangtze River Economic Belt shows a spatial trend of gradually increasing from the northwest of China to the southeast of China, and the gap within the region is also widening. The interaction between the digital and green collaborative transformation performance of neighboring cities leads to a gradual narrowing of the gap in the long term. 2) Industrial intelligence has significantly promoted the improvement of digital and green collaborative transformation performance, with industrial structure upgrading and energy structure optimization playing a significant mediating role. 3) The impact of industrial intelligence on the performance of digital and green collaborative transformation is heterogeneous. Downstream cities, cities with low industrialization levels, and cities with strong economic ties can improve the digital and green collaborative transformation more effectively. 4) Cities that quickly adopt artificial intelligence have certain advantages. The impact of industrial intelligence on the performance of digital and green collaborative transformation has a positive spatial spillover effect, and the long-term effect is greater than the short-term effect.

Taking the Wuhan Metropolitan Area as the research object and based on the "customer-supplier" associated data of enterprises, this paper constructs an industrial chain and supply chain network, which covers four key sectors: manufacturing, the "optics, chip, screen, and network" new-generation information technology industry, the intelligent connected vehicle industry, and the health and biopharmaceutical industry. On the basis of the above, it takes Ezhou Huahu Airport as a development scenario, uses the complex network adaptability model to simulate the evolution trends of the industrial chain and supply chain network over a five-year period, and identifies its key nodes and connection corridors by the means of social network analysis. The results indicate that: 1) Under the influence of the hub economy effect, the overall industrial chain and supply chain network of the Wuhan Metropolitan Area exhibits multi-directional expansion. Among these, the axis linkage between Tianhe Airport and Huahu Airport is the strongest, with the Wuhan-Ezhou-Huanggang-Huangshi region emerging as the core area for industrial connectivity. 2) The simulation identified key nodes such as the Optical Valley Liufang Electronic Information Industrial Park, Huazhong Financial City, and Miaoshan Equipment Manufacturing Cluster, as well as major connection corridors such as the "Xiaogan-Wuhan-Ezhou-Huangshi" new-generation information technology industrial corridor, the "Wuhan-Huangshi" intelligent connected vehicle industrial corridor, and the "Qianjiang-Wuhan" health and biopharmaceutical development corridor. Based on these findings, it puts forward spatial optimization strategies for the three leading industries: emphasizing the layout of industrial axes along key transportation routes, strengthening the radiating capacity of hub areas, and promoting cross-regional collaborative division of labor, which can provide a scientific basis and decision-making support for industrial spatial planning in metropolitan regions.

Based on the POI data and socio-economic data from the Changsha-Zhuzhou-Xiangtan Metropolitan Area, this study comprehensively employs methods such as kernel density analysis, standard deviation ellipse, two-way fixed effects model, and geographical detectors to investigate the spatiotemporal characteristics and driving mechanisms of the commercial trade and circulation industry in 2012-2022. The research reveals that: 1) The spatial development model of the commercial trade and circulation industry in the Changsha-Zhuzhou-Xiangtan Metropolitan Area has undergone a profound transformation from a core-periphery structure to a functional-network structure, which is specifically manifested as follows: the spatial pattern has evolved from a single-core concentric structure to a multi-center symbiotic network structure, with sustained expansion along the northwest-southeast axis, forming a multi-level system of "core leadership-secondary center support-node diffusion. 2) The sub-sectors of the commercial trade and circulation industry exhibit differentiated evolutionary characteristics, with spatial correlations shifting from homogeneous agglomeration to functional synergy. Specifically, the wholesale and retail industry spreads along the development axis and tends toward multi-directional equilibrium, the catering industry agglomerates toward the core area with a contracting spatial scope, while the accommodation industry shows a decentralized distribution. Spatial correlations among industries have diverged, with the wholesale and retail industry maintaining strong synergy with the catering industry, whereas the correlation with the accommodation industry has significantly weakened. 3) The spatiotemporal evolution is driven by the synergy between government and market forces. The government guides the transformation of the spatial structure through institutional supply, while market-driven factors shift from the supply-side economic foundation to the demand-side urbanization, forming an interactive supply-demand composite mechanism. Therefore, it is recommended to further optimize the functional layout of the metropolitan area, strengthen regional and industrial linkages, and improve market-government collaboration to promote the quality and efficiency enhancement of the commercial trade and circulation industry and achieve coordination development of the metropolitan area as a whole.

The study of nature's commodification centers on the evolution of the relationship between capital and nature, revealing the processes, mechanisms, and social-ecological fallout of nature being incorporated into the capitalist production system. As a foundational discipline, geography grounds its critique in human-environment interactions, dissecting the complex logic of capital's domination across scales, and deeply examining the resulting ecological issues, social injustice, and the relationship transformation between human and non-human. This paper systematically reviews the research trajectory of the commodification of nature in Western human geography over the past three decades, distilling five core themes: the commodification and marketization of ecosystem services, the power relations and justice games in the commodity process, the biopolitics and commodification of non-human life, the de-objectification of the natural commodity chain, and the "resistance" of nature as an active agent. Based on the above, it further proposes directions for domestic related research that can be focused on and deepened, with the aim of providing reference and case inspirations for the construction of ecological civilization and the modernization of ecological governance.

In the arid oasis region of Xinjiang, specialty orchard agriculture is an important lever for rural revitalization and regional industrial upgrading. P. domestica, has expanded rapidly in Kashgar and nearby areas and has gradually formed an integrated chain linking cultivation, processing, cold chain logistics, and e commerce. To identify potential production suitability zones and explore spatial expansion pathways, we used occurrence records collected during 2023 to 2024, mainly from cultivated orchards and introduction trials, and selected 13 variables covering bioclimate, topography, soil, land use, human activity, and socioeconomic and population conditions, to build and optimize a MaxEnt model. We further applied XGBoost with SHAP to quantify the marginal effects of key drivers and compared niche dynamics between the native range and the introduced region. Model performance was strong with AUC values above 0.9. High production suitability in Xinjiang is concentrated in the southern oasis belt spanning Kashgar, Hotan, and Kizilsu and in parts of Aksu. Population density and the minimum temperature of the coldest month were among the most influential factors, indicating that climatic constraints and infrastructure and market accessibility jointly shape cultivation expansion. County level zoning statistics combined with an overlay of current cultivation points delineated spatial categories. Jiashi, Shache, Shule, Yengisar, and Yecheng form the core development zone. Yining,Khorgas, Hami Yizhou, and Aksu City are priority expansion zones with notable moderate to high production suitability but limited current promotion. Korla and Yutian are characterized mainly by moderate production suitability. Urumqi Shuimogou, Shaya, Xinhe, Xinyuan, and Zhaosu County, Altay and Tacheng show low moderate to high suitability or point mismatch and are recommended as constrained development zones requiring site level verification.

Consolidating and expanding the achievements of poverty alleviation and effectively connecting with rural revitalization is an important task to achieve the "two centenary" goals. From the perspective of geography, this paper studies the scientific connotation, connection framework and mechanism, as well as the practical model of the connection between poverty alleviation achievement and rural revitalization. The results show that：1) The key to achieve the effective connection between consolidating and expanding the achievements of poverty alleviation and rural revitalization lies in continuously solving the problems of rural development and making up for the shortcomings of rural development, which not only improves the personal ability of rural residents, but also enhances the overall development strength of villages. 2) It should constructs the connection framework between poverty alleviation achievement and rural revitalization from the five aspects of subject, object, carrier, mode and channel, so as to stimulate the endogenous development momentum of rural areas. 3) Based on the key points, difficulties and characteristics of each region’s connection, it distills five models: urban-rural integration model, industrial economic model, environment-first model, cultural development model and regional cooperation model. 4) On the basis of constructing a framework for local connection, each region selects its own differentiated development.each region in China should select its own differentiated development path based on its resource endowment and actual conditions, thereby continuously consolidating the achievements of poverty alleviation and effectively promoting the comprehensive revitalization of rural areas.

The urban-rural relationship that evolves dynamically determines the rural development model and level. Elucidating the mutually reinforcing logic between the urban-rural relationship at the county scale and rural revitalization is a crucial matter for achieving rural revitalization. From the perspective of coordinated urban-rural development, a coupling framework between urban-rural connection and rural revitalization was established. The Haken model and Self-Organizing Feature Map (SOFM) technology were employed to identify the key order parameters of the county-level coordinated development system in the Dabie Mountains region and to categorize the rural development types under the influence of different urban-rural relationships. The findings reveal that during 2013-2023, there were remarkable disparities in the development levels of county-level subsystems in the Dabie Mountains region, with the rural subsystem experiencing the most rapid growth. The order parameters of the county-level development systems in Henan Province and Anhui Province within the Dabie 1Mountains region shifted from the rural subsystem and the urban subsystem to the urban-rural interaction subsystem respectively, while the order parameter in Hubei Province remained unchanged as the exogenous driving subsystem. The urban-rural development practices in the counties of the Dabie Mountains region can be classified into two types, namely those dominated by the urban-rural interaction subsystem and those dominated by the exogenous driving subsystem. Six development patterns were distilled, including the urban-rural integration pattern, the agricultural-tourism integration pattern, the characteristic agriculture pattern, the urban leadership pattern, the factor aggregation pattern, and the tourism development pattern. Additionally, targeted practical approaches for rural revitalization were proposed.

Traditional villages are important objects for rural revitalization and cultural heritage protection. This paper combines the theory of human-earth areal system and Braudel's theory of historical time, takes 262 traditional villages in Chongqing as samples, studies their evolution process and historical model from Pre-Qin to 1970s, as well as their revitalization path in the contemporary era. Research shows that: 1) The influence of natural factors has been dominant throughout history, which shows that villages are mainly located in warm areas, with a distribution trend from hills to mountains, from gentle slopes to steep slopes, from sunny slopes to multiple slopes, from near rivers to far rivers, and from less rainy areas to more rainy areas; The influence of human factors exhibits a trend of decreasing first, then increasing, and finally decreasing again. Villages develop in accordance with the fluctuating development of population and cities. Through the coupling of natural and human factors, the distribution pattern of commercial villages in the middle west and agricultural villages in the east was finally formed. 2) The "village production" model based on the "human-production-earth" relationship is the dynamic mechanism of the historical evolution of villages. The natural economy and the production of material, population and social relations under its control ensure the increase and maintenance of villages. Under this model, "human-earth interlay" overlapping in successive dynasties formed the village regionalism. 3) The "village production" model has become invalid due to the rise of modern commodity economy. In this regard, traditional production should be restructured into a fully integrated "reproduction" of modern commodity economy, as well as the rational use of the village regionalism through commercialization, forming a new type of "human-reproduction-earth" relationship that integrates human and earth, in order to achieve "village reproduction". Therefore, it is suggested that the traditional villages in the middle west of Chongqing should be transformed into "suburban type" and the ones in the east into "ecological type".

Based on the urban tourism economic connection data from 2011 to 2022, this paper reveals the spatial-temporal differentiation of the structural resilience types and node resilience of the tourism economic network of major cities in six regions of China, and explores its driving factors from a multidimensional perspective. The results show that: 1) The network structure in north and south China tends to be three-dimensional, while the network structure in east China is relatively flat. The northeast and western regions have experienced the transformation from "homozygous core-edge network" to "resilient network", and it shows the characteristic of resilient network in other regions. 2) The distribution of node resilience in northeast China has evolved from a pattern centered on Changchun and Harbin to a pattern centered on Changchun, Harbin and Shenyang. The distribution of node resilience in north China takes Beijing as the absolute core city. The resilience nodes in east China are concentrated in Shanghai, Hangzhou, Nanjing, Suzhou and Hefei. The pattern of node resilience in central China has changed from "unipolar core (Wuhan)" mode to "dual-core drive (Wuhan-Changsha)". The distribution pattern of node resilience in south China always takes Guangzhou as the core of strong resilience. The pattern of node resilience in western region has evolved from single core development to multi-core development in Chongqing. 3) Reciprocity has gradually become the driving factor for the strengthening of network structure resilience. The urban economic level, tourism resource endowment and degree of specialization strengthen the resilience of network structure through "Matthew effect". Digital connectivity networks enhance the efficiency of tourism element flows. Spatial proximity networks play a significant role in south, central, north, and western China, though their "filtering effect" diminishes in eastern China.

Based on the panel data of 30 provincial-level regions of China from 2012 to 2022, this study measures the coupling coordination level between agricultural-tourism integration and rural tourism public services using the entropy weight method and coupling coordination degree model, analyzes their spatiotemporal evolution characteristics from the perspectives of difference structure and distribution trend by the means of Dagum Gini coefficient decomposition and kernel density estimation. and identifies their driving mechanism applying the panel Tobit model. The results show that: 1) The national coupling coordination level has steadily increased overall, transitioning from the "disorder stage" to the "transition stage". Significant regional disparities exist, with the eastern region leading in coordination foundation, the central region catching up rapidly, and the western region showing an accelerated convergence trend. 2) The regional difference structure has continuously improved, where hypervariable density is the dominant source of overall differences, intra-regional gaps are relatively stable, and inter-regional differences show strong periodic fluctuations. 3) The distribution of coupling coordination degrees nationwide and in eastern, central and western regions has gradually shifted rightward with increased peaks and weakened polarization, indicating enhanced regional coordination. 4) Regarding influencing mechanisms, the level of economic development, digital inclusive finance and scientific and technological R&D investment significantly improve the coupling coordination degree, while urbanization exerts a certain negative effect.

Based on the "stimulus-organism-response" (SOR) theory and concepts such as presence, flow experience, and arousal, this empirical study employs structural equation model, taking the domestic AAA game Black Myth: Wukong as an example, to conduct empirical research on the travel intentions of video game players in the context of tourism destination scene implantation. The research finds that: 1) The implantation of tourism destination scenes in video games can evoke a multi-dimensional sense of presence in players. The conversion of travel intention does not follow a single linear path, but it can occur through the complex pathway of "presence, psychological state, behavioral intention". 2) Both physical presence and social presence exhibit driving effects on arousal and flow experience. The chain mediating roles of arousal and flow experience between presence and travel intentions are confirmed, though the mediating effect of flow experience is stronger than that of arousal. Arousal alone shows limited mediating efficacy, while flow experience, as a critical antecedent of travel intention, highlights the uniqueness of tourism decision-making compared to general commodity consumption. 3) Social presence demonstrates a greater influence than physical presence on converting players' travel intentions into actual behaviors, with the transformation of travel intentions among gaming communities relying on deep psychological immersion and emotional connections.

Within the context of rural revitalization and the Digital China strategy, enhancing residents' well-being has become a key issue in driving spatial restructuring and modernizing grassroots governance. This study examines new forms of rural festivals characterized by self-organization and digital dissemination, using the "Village Super League" in Rongjiang, Guizhou as a case. Drawing on the grounded theory, a four-stage mechanism model was developed, comprising field formation, resource activation, multi-dimensional transformation, and well-being feedback. It explores how emerging festival events promote the generation of rural residents' well-being. The findings indicate that: 1) Through the interplay of cultural resource endowment, policy support, and media diffusion, ordinary football matches were transformed into a festival space with public, ritual, and mobilizing functions. 2) Cultural, digital, and social resources were systematically activated and integrated, enabling community empowerment, power reallocation, and practices of spatial justice. 3) In terms of digital, economic, and cultural dimensions, residents' identities were reconstructed and transformed, shifting from "silent others" to "expressive actors", from "migrant laborers" to "cultural tourism entrepreneurs", and from "marginalised perceptions of folklore" to "revalued cultural assets". 4) Ultimately, well-being was enhanced across material gain, cultural dignity, and governance efficacy, while diverse individual pathways emerged under the tension between risks and opportunities. This study extends the process-based understanding of how festivals enhance well-being, and highlights their role as platforms for rural spatial reproduction and spatial justice. It offers fresh theoretical insights and practical implications for local identity building, regional development, and community governance in the digital era.

As an important platform for the integration of transportation and tourism as well as cultural and tourism development, border highway tourism corridors have received insufficient attention in existing research regarding the dynamic process of tourists' sense of place generation in such mobile contexts. Based on mobility theory and taking the Guangxi section of National Highway G219 as a case study, this article employs a combination of netnography and mobile ethnography to explore how tourists generate a sense of place through mobility practices in tourism corridorsof border highway.The findings reveal that: 1) Across five stages—pre-trip, entry, adaptation, interaction, and consolidation—tourists progressively develop a sense of place through practices including pre-trip imagination, embodied perception, self-regulation, meaning attribution, and behavioral continuation.This process follows a dynamic path from "place impression" to "place perception," "place dependence," "place attachment," and finally "place identity," which may be interrupted for some tourists due to the emergence of a negative sense of place. 2) In the mobile practices of "pre-trip", "during-trip" and "post-trip", tourists in undergo a spatial cycle, starting from their habitual environment, crossing from the tourism "front stage" through the "curtain" into the "backstage" space, and eventually returning. The dynamic transformation of their sense of place is closely intertwined with the spatiotemporal axis of the journey. 3) The generation of tourists' sense of place in border tourism corridors results from the synergistic effects of spatial foundations, mobility practices, procedural subject involvement, power discipline, and cultural differences. This article aims to deepen the theoretical understanding of the dynamic generation of sense of place in mobility fields from a mobility perspective, providing a scholarly basis for spatial governance and scene construction in border highway tourism corridors.