Common prosperity is one of the basic connotations of Chinese-style modernization. Geography has significant disciplinary advantages in the study of this proposition. In view of the imperfect measurement method system and the lack of in-depth regional empirical research in the current research on common prosperity, this paper improves the measurement method system based on the comprehensiveness, regionality, process and multi-agent of geography and conducts empirical analysis of multi-scale, multi-dimensional and long-term series. The study found that: 1) Common prosperity can be deconstructed from two aspects: the level of prosperity and the common level. The level of prosperity is manifested in the comprehensive development level of the economy, society, resources and infrastructure, and the common level refers to the regional gap and multi-dimensional differentiation of the comprehensive development level. 2) Under the strategy of regional coordinated development, China’s level of common prosperity has steadily improved, marked by dual growth in both prosperity and common. However, this progress is accompanied by regional and dimensional heterogeneity. Notably, national levels of prosperity and common have seen significant gains, while the prosperity patterns across major regions have undergone substantial restructuring, with increasingly distinct functional characteristics. The disparity between regions has become more pronounced relative to intra-regional variations. At the provincial level, the prosperity pattern remains generally stable, though notable trends are emerging within specific dimensions. 3) The evolution of China's common prosperity has a significant space-time correlation. Common prosperity has a strong response to the evolution of the degree of prosperity. The spatial pattern of agglomeration common prosperity has gradually emerged, and the characteristics of common prosperity dominated by prosperity have become increasingly prominent. Finally, this paper puts forward some suggestions on gradually alleviating the inter-regional gap and forming a new pattern of regional development with complementary advantages by taking the regional coordinated development strategy as the core, which can provide scientific reference for solidly promoting common prosperity.

Taking the perspective of coordinated development, this study examines the impact of information flow on the synergy of economic development and ecological environment in the Yellow River Basin, using data of 58 prefecture-level cities in the basin from 2012 to 2021. The results show that the synergy level of economic development and ecological environment in the Yellow River basin increased from 0.503 in 2012 to 0.579 in 2021, with the spatial distribution characteristics of "high in the middle and lower reaches, and low in the upper reaches". The information flow and technology transfer network in the Yellow River Basin both presents a "polycentric" spatial pattern. For every unit increase in information flow, the synergy between economic development and ecological environment in the Yellow River Basin increased by 0.102 units. The effect of information flow exhibits regional heterogeneity, with a more pronounced impact on upstream regions and non-provincial capital areas. Mechanism analysis indicates that information flow promotes technology transfer among cities in the basin, thereby influencing the level of coordinated development between the economy and environment. Therefore, efforts should be made to accelerate the development of the information industry, promote coordinated and interconnected development among different regions in the Yellow River Basin, and utilize information flow to empower the real economy, achieving the coordinated development of the economy and ecology.

This paper focuses on the synergistic relationship between green development and common prosperity, based on the key time points in the evolution of the national policies and policy follow-up in the Yangtze River Delta (YRD), construct evaluation system with reference to authoritative policy documents, use entropy-weighted TOPSIS method to measure the level of green development and common prosperity of 41 cities in the YRD from 2012 to 2021, create Green-Prosperity Synergistic Index (GPI) to quantify the synergistic state of the two; use Global Moran's Index and Hot Spot Analysis to portray the spatio-temporal synergistic evolution features, and use Threshold Regression Model to explore the driving factors and influencing mechanisms. The study finds that: 1) in time sequence, green development level and common prosperity level fluctuate and rise, the latter grows significantly, and regional differences are gradually narrowed; 2) spatially, the green development level in northern Jiangsu and northern Anhui, as well as in Ningbo and Jiaxing, is low initially, but the overall level is better at the later stage; the common prosperity level shows the pattern of "strong in the east and weak in the west", and the economically developed regions and their neighboring areas have obvious advantages; 3) the spatial and temporal synergistic evolution of green development and common prosperity shows significant spatial clustering characteristics, with hotspots concentrating in cities with outstanding ecological advantages but weak economic foundations, such as Huangshan, Chizhou, Xuancheng, etc., and coldspots concentrating in cities with high degrees of interference in economic activities, such as Ningbo, Jiaxing, etc.; 4) the economic growth at a low level of technology and the industrial structure of high-intensity government intervention will hinder the synergistic advancement, with a particularly significant impact on non-common prosperity demonstration and central areas.

The study constructs an evaluation indicator system for deindustrialization economic risk from four dimensions: product risk, factor risk, market risk, and foreign exchange risk. It then measures and evaluates the deindustrialization economic risk across 30 provinces in China. The findings are as follows: 1) The eastern region has relatively low and declining deindustrialization economic risk; the central region follows but shows greater volatility; the western and northeastern regions face higher levels of economic risk. 2) The disparities in China's deindustrialization economic risk primarily stem from increasing interregional divergence, while intraregional differences remain relatively stable. The gap between the eastern region and other regions is the most pronounced and is widening over time. 3) China's deindustrialization economic risk exhibits a spatial clustering pattern characterized by "economic similarity as the primary driver and geographical proximity as the secondary factor". Per capita income, government intervention, and transportation infrastructure significantly influence this spatial distribution. 4) The constructed early warning system for deindustrialization economic risk is capable of accurately predicting risk values and identifying risk levels. It is imperative to further consolidate the foundational role of the manufacturing sector in the national economy, establish a risk assessment and response mechanism for deindustrialization economic risks, and coordinate industrial development and economic security with a systemic perspective.

Creative destruction is the core driving force for long-term economic growth, and the entry and exit of market entities are the micro manifestations of the creative destruction process. Based on the registration data of industrial and commercial enterprises, this article calculated the level of creative destruction in 31 provinces of China from 2000 to 2020, analyzed the spatio-temporal differentiation pattern and evolution characteristics of creative destruction, revealed its regional differences by using the Dagum Gini coefficient, examined its convergence by using the σ and β convergence models, and discussed its heterogeneity according to different classification criteria. The research finds that: 1) The rate of creative destruction in China was in a stage of slow growth before 2014, but it showed a feature of explosive growth after 2014. The rate of creative destruction in different regions shows obvious spatial imbalance, with the eastern region taking an absolute leading position. 2) At the national level, the differences in the rate of creative destruction show short-term fluctuations and long-term narrowing characteristics, with the gap between the east and the central region being the main source. 3) The creative destruction rates across the country and in various regions exhibit σ convergence and absolute and conditional β convergence characteristics. 4)Marked divergence exists across urban agglomerations, with substantial variations in creative destruction rates among different high-tech industry sectors.

In this paper, the modified gravity model, social network analysis, core-edge structure analysis and other methods are used to analyze the spatial evolution and correlation characteristics of the network structure of 97 cities in the Yellow River Basin from 2010 to 2023. The results are showed as follows: 1) The level of new quality productive forces showed a steady state upward trend in the Yellow River Basin, and spatially showed the heterogeneity of leading in the southeast and catching up in the central and western regions. 2) The overall correlation network structure has obvious spatial proximity, and the spatial network of the new quality productive forces with Zhengzhou and Qingdao as the core has a significant jump, but it is still dominated by the low-level five-level network, which is still far from the optimal spatial correlation state. 3) The overall network density decreases first and then increases, the network efficiency and network level values are high, the internal hierarchical structure of the region is strict. Moreover, nine cohesive subgroups are formed in the spatial network of new quality productive forces, and each subgroup generally follows the principle of geographical proximity. 4) From the perspective of heterogeneity attribution, factors such as economic development level, government macro-control and opening-up have a significant positive role in promoting the development of urban new quality productive forces, and the promotion effect on the middle and lower reaches of the region, non-resource-based cities and areas with large urban scale is more significant, while the positive promotion effect of human capital and urbanization level on the middle and lower reaches of the region and resource-based cities is not significant.

Based on the panel data of 236 cities in China from 2007 to 2022, this paper uses the simultaneous equation model to study the impact of transportation infrastructure connectivity (measured by high-speed rail operation) on industrial land price, industrial output value and population flow in node cities and surrounding cities of high-speed railway network, and discusses the interaction of production factors and regional coordinated development from the perspective of regional industrial division of labor and factor substitution. The study found that: 1)The industrial land price of the high-speed rail network connected city is significantly positively correlated with the operation time of the high-speed rail, which verifies the hypothesis that regional transportation infrastructure connectivity can enhance the industrial location advantage and promote land appreciation. 2)regional transportation infrastructure connectivity has a significant role in promoting regional industrial output, especially in high-speed railway network node cities with strong industrial foundation. 3)With the accumulation of the connectivity effect of transportation infrastructure, the substitution effect of 'capital-labor' factor becomes more and more significant in the connected region, which not only improves the demand for talents in the node cities of high-speed railway network, but also overflows traditional industries and low-skilled labor to surrounding cities, thus optimizing the regional industrial structure. 4)The flow of production factors presents different correlation phenomena in different urban agglomerations: the eastern coastal urban agglomerations reflect the capital agglomeration effect more, while the inland urban agglomerations such as the Central Plains and Chengdu-Chongqing reflect the industrial transfer and capital spillover effect more. Accordingly, it is suggested that during the '15th Five-Year Plan' period, we should strengthen the interconnection of regional modern transportation infrastructure, improve the relevant policies of regional industrial cooperation, optimize the mechanism of labor mobility and the regional layout of talents, so as to promote the coordinated and efficient allocation of regional production factors and promote regional coordinated development.

The optimal allocation of sports service facilities is an important support for implementing the "Healthy China" strategy and the equalization of public services. Based on the POI data of 31 prefecture-level cities in the Central Yangtze River Urban Agglomeration from 2014 to 2023, this study comprehensively employs kernel density estimation, spatial autocorrelation and optimal geographic detector methods to reveal the spatio-temporal differentiation characteristics and influencing factors of the configuration level of sports service facilities. The results show that: 1) The configuration level of sports service facilities in the urban agglomeration in the middle reaches of the Yangtze River has increased from 0.179 to 1.225, and the total number of facilities has jumped from 2693 to 18436, showing a continuous growth trend and forming a gradient pattern of "Greater Nanchang Metropolitan Area > Changsha-Zhuzhou-Xiangtan Metropolitan Area > Wuhan Metropolitan Area". The nuclear density curve shifts to the right and the height of the main peak decreases, reflecting that the spatial distribution is gradually becoming more balanced. However, there is still trailing lag in peripheral cities such as Ji 'an and Tianmen. 2) The types of sports service facilities show a "pyramid-shaped" differentiation, with fitness centers and billiard halls having the highest density. The spatial distribution presents a "core-edge" pattern. The global Moran's I value ranges from -0.043 to -0.132, showing a significant spatial negative correlation. 3) Social and economic development factors have the strongest impact on the configuration level of sports service facilities, while traffic carrying capacity and environmental quality factors have relatively weak influences on it. Moreover, the level of urbanization and the accessibility of the road network have the strongest explanatory power. In the future, the configuration level of sports service facilities should be enhanced in a coordinated manner from multiple dimensions, including promoting social and economic development, optimizing urban spatial layout and transportation networks.

Urban resilience is an inherent potential for the sustainable development of urban socio-ecological systems. Coastal cities are subject to land-sea overlapping disturbances, and it is urgent for them to scientifically modulate urban resilience in order to safeguard development security. This study introduces an analytical framework and index system designed to deconstruct urban resilience through the "element-feature-capability" interlinkages. Employing a suite of methods—mutation level analysis, kernel density estimation, Markov chain modeling, and self-organizing feature maps—we uncover the temporal and spatial dynamics of coastal city resilience, with a case study focused on the Bohai Rim region. Our findings also delineate the the mechanisms by which the resilience capacity model and its intrinsic interactions influence resilience evolution. The results show that: 1)A distinct spatial gradient in the Bohai Rim region's urban resilience from 2010 to 2019, characterized by higher resilience in the south and lower in the north, with pronounced subsystem resilience disparities. 2)An overall ascent in the resilience of coastal cities, with economic resilience showing the most significant growth, ecological resilience following suit, and social and comprehensive resiliences exhibiting a slower rise. The region experiences variations in resilience differentials, with ecological resilience demonstrating notable spatial imbalances. 3)The resilience dynamics show a "club convergence" phenomenon, but cities with medium-level resilience face the risk of regression. 4)Coastal cities along the Bohai Rim region show five distinct resilience capacity patterns, with the economic recovery lagging type (Type Ⅲ) predominating at 35% to 47%, and the recovery-led type (Type Ⅱ) and the ecological resistance-economic resistance-led type (Type Ⅳ) each accounting for about 18%. While most cities maintain stable patterns, some undergo transitions between two patterns. 5)The emergence and evolution of these resilience capacity patterns depend on trade-offs and synergies among subsystem resilience capacities, which is the main force guiding the trajectory of resilience evolution. Fostering the optimal progression of the inherent resilience capacity relationships within each pattern is essential for enhancing urban resilience. The construction of resilience in coastal cities should be advanced from the aspects of conceptual objectives, implementation pathways, and institutional guarantees.

Conducting research on the changes in the spatial vitality of the strategic spaces of megacities and super-large cities, which are guided by strategic spaces, has important practical value for promoting the optimization of the spatial structure of these cities. Existing studies on urban vitality have paid little attention to the long-term dynamic changes in the vitality of urban strategic spaces. Based on the theory of urban morphology, this study constructs a multi-dimensional indicator system that affects the vitality of urban strategic spaces. By using multi-source big data such as nighttime light images, population grids, and enterprises, and applying the optimal parameter geographical detector method, it analyzes the temporal and spatial pattern, influencing factors, and temporal differences of the spatial vitality of Guangzhou's "Eastward Expansion" strategy from 2012 to 2022. The results show that: 1) The overall spatial vitality of Guangzhou's "Eastward Expansion" strategy presents a pattern of "high in the west and low in the east". The spatial structure of vitality has evolved from a single-center to a multi-center structure; the center of the vitality space has continuously shifted eastward, and the speed of eastward movement has slowed down in the later period. 2) The spatial vitality of Guangzhou's "Eastward Expansion" strategy is driven by multiple factors in a coordinated manner. The core driving factors are the "level of industrial development" and the "service facility environment", followed by the "built environment base" and the "transportation location environment". The interaction effect of two factors is stronger than that of a single factor. (3) The roles of the above influencing factors show stage characteristics. The roles of the "level of industrial development", the "built environment base", and the "service facility environment" first increase and then stabilize, while the role of the factor "distance from the city center" in the "transportation location environment" continues to weaken. This study enriches the the research achievements of long-term dynamic cases on the vitality of urban strategic spaces and can provide insights for the strategic planning and spatial governance of megacities and super-large cities.

It is crucial to examine whether the circular transformation of industrial parks (aimed at green transition goals) promotes urban metabolism for building a circular industrial system and advancing sustainable urban development. Using panel data from 281 prefecture-level cities from 2004 to 2022, this study employs a staggered difference-in-differences model to assess the impact of the circular transformation pilot policy for industrial parks on urban metabolism. The results indicate that: 1) the circular transformation of industrial parks significantly enhances urban metabolic efficiency. 2) Furthermore, mechanism tests demonstrate that the policy promotes urban metabolism through advancing industrial chain upgrades and corporate green production. 3) Additionally, heterogeneity tests show that the effect of the circular transformation policy on urban metabolic efficiency is more salient in resource-based cities, national-level development zones, and manufacturing-oriented development zones.

This paper constructs an evaluation system comprising five dimensions and 23 indicators, employing integrated methodologies including the entropy-weighted TOPSIS method, pentagonal multidimensional evaluation, spatial analysis, and the Gini coefficient. Based on panel data from 2014 to 2023, an empirical study was conducted to examine the temporal evolution and spatial interaction effects of 22 airport-type national logistics hubs in China. The results indicate that: 1) The comprehensive development level of each airport-type national logistics hub has improved to varying degrees over time, overall presenting a "high in the east and low in the west" gradient pattern; 2) The radiating and driving effects of airport-type national logistics hubs have continuously strengthened, transitioning from an initial "central point" to a "central domain"; 3) The Gini coefficient of airport-type national logistics hubs decreased from 0.683 to 0.649, indicating a gradual narrowing of regional disparities, though they remain significant; 4) Infrastructure scale and urban economic support are the two core factors contributing to regional differences, with infrastructure scale alone contributing 41.78%, making it the most influential factor.

Drawing on data from new energy vehicle enterprises in 282 prefecture-level cities in China from 2009 to 2022, this study systematically depicts the spatial evolutionary characteristics of the new energy vehicle industry. It does so by integrating the heterogeneous roles played by different segments of the industrial value chain in shaping industrial development, and by employing a spatial autoregressive model to identify the core determinants of industrial location choices. The findings are as follows: 1) At the national level, China's new energy vehicle industry exhibits a spatial distribution characterized by high concentration in the southeast and low concentration in the northwest. Although the overall industrial scale has expanded significantly over time, development gaps among cities remain persistent. 2) From the perspective of different segments of the industrial chain, the spatial distribution of China's new energy vehicle industry demonstrates notable concentration and regional specificity. 3) During the study period, the agglomeration of China's new energy vehicle industry shows significant spatial dependence. Changes in spatial distribution result from the combined effects of multiple factors, including the locational environment, factor environment, market environment, institutional environment, and technological environment. By uncovering the evolutionary patterns of the new energy vehicle industry's spatial structure, this study provides a theoretical foundation and practical insights for consolidating and expanding China's competitive advantages in the new energy vehicle sector.

Guided by China's energy transition goals in the new era, which emphasize a balanced approach to low-carbon transformation and energy security, this study develops an evaluation matrix for low-carbon energy resilience. The matrix integrates domains from the low-carbon perspective—energy endowment, economy, society, and environment—with stages from the resilience perspective—planning, absorption, recovery, and adaptation. Integrated methods, including the optimal combination weighting method, kernel density estimation, and the Dagum Gini coefficient, are employed to measure China's low-carbon energy resilience from 2012 to 2022 and summarize its spatiotemporal differentiation characteristics. The geographic detector is further applied to identify dominant driving factors and their temporal evolution. The study shows that: 1) China's low-carbon energy resilience generally exhibited a fluctuating upward trend, with the highest level observed in the western region, followed by the central, eastern, and northeastern regions, respectively. 2) Low-carbon energy resilience in western regions has developed comprehensively across various sectors, with particularly strong performance in energy endowment and environmental dimensions, demonstrating robust adaptive capacity; central and northeastern regions display a "jack-of-all-trades dilemma," with capabilities dispersed across domains without distinct advantages; the eastern region demonstrates strong resilience in economic and social spheres and high absorption capacity, but shows relative weaknesses in energy endowment and environmental dimensions; overall regional disparities are narrowing, primarily driven by interregional differences. 3) During the study period, the drivers of low-carbon energy resilience evolved from economic guidance dominance to technology support dominance, and finally to a phase of multi-dimensional synergy. The explanatory power of interaction factors was significantly greater than that of single factors, particularly in interactions involving the behavioral coordination dimension.

Electric vehicle charging stations play an important role in China's new infrastructure strategy. The article considered the walking convenience of drivers and passengers in the process of charging electric vehicles and obtaining other services, used the point of interest (POI) data obtained from AutoNavi open platform and road-net data based on Open Street Map (OSM), and adopted the method of exploratory spatial data analysis, modified Gaussian two-step floating catchment area based on the Gaussian distance decay function and blank areas to calculate the supply pattern and spatial adaptability of charging facilities within the Third Ring Road of Changsha. The results show that: 1) The spatial distribution of charging stations shows a T-shaped agglomeration tendency in the whole region, the density of stations decreases from the central urban to the suburban area, which is consistent with the spatial distribution of road network and public facilities; 2) In general, the spatial adaptability level between charging stations and all kinds of public facilities is not high, and there is a great difference in the adaptability of charging stations and public facilities in different urban functional areas; 3) The dominant blind areas are distributed in the urban fringe, including northeast, southeast and near Gushan Park, the recessive blind areas are mainly concentrated in the central urban areas, which are important target regions for further optimizing the layout of public charging stations.

Under the expansion of the large-scale HSR network, the layout mode and spatial effect of "one city, multiple stations" for high-speed railway has gradually become a new research field. Using the POI point data and spatial analysis method, this paper conducts an empirical analysis on the evolution of industrial spatial pattern of three typical high-speed railway station areas in Suzhou from 2012 to 2023. Research has found that there is a significant gradient differentiation in the industrial structure and spatial agglomeration of the three types of station areas. The structural changes of edge stations are the most prominent, and the industrial upgrading of central and edge stations is obvious. The basic service industry dominates and continues to strengthen, while the derivative industries are relatively lagging behind; The industrial space presents differentiated characteristics of balanced diffusion of central stations, dual core aggregation of peripheral stations, and stable dependence of satellite city stations on existing patterns, with significant directional movement. Mechanism analysis shows that the evolution of industrial space is driven by common factors within a single city, such as urban income levels and station capacity, as well as heterogeneous responses from multiple stations, such as location competition, transportation accessibility, path dependence, and inter station interactions, such as functional decentralization, market classification, and factor barriers. This reflects the complexity of functional division of labor and collaborative development within a multi station system. The study reveals the differentiated path of industrial spatial evolution under the "one city, multiple stations" system, providing theoretical basis and practical reference for the functional classification and coordinated development of high-speed railway station areas.

Based on the characteristics and assumptions of the development stages of rural industrial formats in Chongqing, the POI of rural industrial formats were collected in 2012, 2017 and 2022. ArcGIS spatial analysis and Geodetector were used to explore the spatial and temporal evolution characteristics and driving mechanism of rural industrial formats in Chongqing. The results show that: 1) The overall pattern of rural industrial formats in Chongqing shows an evolutionary trend of "shrinking first, then expanding, and expanding over shrinking", with the centre of agglomeration shifts from "wide dispersion and low agglomeration" to "multi-point high agglomeration", and eventually this evolves into an asymmetric pattern of "dense in the west and sparse in the east, and dense in the south and sparse in the north". Agglomeration occurred in the capital's metropolitan area in the early stage, then in the Wuling Mountains in the southeast and the Three Gorges Reservoir area in the northeast in the late stage. 2) The driving mechanism of the development of rural industrial formats in the hilly areas of southwest China is driven by the interaction of four types of factors: The natural environment determines the basic pattern of the spatial distribution of rural industrial formats, the location and transportation determine the convenience of the flow of urban and rural factors, the internal force determines the motivation of the cultivation and development of rural industrial formats, and the external force determines the general tendency of the flow of urban and rural factors.

To reveal the "geographical code" behind the spatial evolution of China's grain production, this study divides China into three regions—south of the Huai River, north of the Huai River, and the northwest—based on two critical geographical boundaries: the Qinling-Huai River Line and the Hu Huanyong Line. Within this "two-line three-region" spatial framework, provincial grain production data from 1978 to 2022 are analyzed using dynamic analysis, spatial analysis, and econometric modeling to investigate the spatiotemporal evolution and driving mechanisms of China's grain production. The results show: 1) The spatial transition of grain production exhibits two features: "crossing lines" and "challenging lines." The "crossing lines" phenomenon refers to the northward shift of the grain production center of gravity, crossing the Qinling-Huai River Line, while the "challenging lines" phenomenon reflects a westward shift, with provinces in the northwest entering the coverage of the standard deviational ellipse of grain production, challenging the Hu Huanyong Line. 2) The high-high clustering areas of grain production in China are concentrated in the region north of the Qinling-Huai River Line; the low-low clustering areas are distributed west of the Hu Huanyong Line; the high-low and low-high clustering areas are located along the southern and northern segments of the Hu Huanyong Line, respectively, spanning the line. 3) Geographical disparities between the "three regions" divided by the "two lines" drive changes in grain production patterns. The "first nature" (natural conditions) shaped the early pattern of "south-to-north grain transfer" in China's grain production system, while the "second nature" (socio-economic conditions) has driven the restructuring of the "north-to-south grain transfer" pattern. These findings underscore the need to implement differentiated national food security strategies tailored to the characteristics of each "line-divided region."

Energy resource-intensive areas have a strong dependence on fossil fuels, often forming "rigid" industrial path dependencies and "functional lock-ins," which inevitably lead to the consumption of large amounts of fossil fuels and the generation of large-scale carbon emissions. This study takes the Turpan-Hami National Energy Base as the object. Through systematic boundary demarcation and data collection, a high-resolution carbon emission accounting system was established. We analyzed the main carbon emitters, types, scales, and distribution of carbon emissions in the Turpan-Hami Base quantitatively, and constructed a high-precision 1 km×1 km grid carbon emission basic dataset. It was found that the Turpan-Hami Energy Base has formed distinct high-carbon emission clustering areas in space, mainly concentrated in the Gaochang District, the northern part of Shanshan County, and the central part of Yizhou District, which is closely related to the regional development differences. The spatial pattern and migration trend of the carbon emission centroid were further revealed by the standard deviation ellipse method, and it was found to be consistent with the distribution of GDP, population, and industry. Based on the kernel density estimation method, the spatiotemporal evolution features of carbon emissions in the Turpan-Hami Base were further studied. The results show that before 2010, carbon emissions underwent significant changes, which were closely related to policy regulation, the process of industrialization and urbanization, and energy consumption. After 2010, the trend of carbon emission changes tended to stabilize, but there were still fluctuations. High-emission industries such as the power industry, heavy industry, and energy sector still need to strengthen supervision and technological innovation. This study provides a new analytical perspective and method for the current situation and evolution fratures of carbon emissions in resource-based areas and lays an important foundation of data and methodology for further carbon emission monitoring and research. Next, we will get high-resolution socioeconomic data to achieve alignment with existing high-resolution datasets, so as to enable in-depth analyses.

Strengthening water environment supervision measures is crucial for curbing water pollution, improving water ecological quality, and achieving sustainable development. This paper focuses on the monitoring effectiveness of national surface water quality automatic monitoring stations and examines their role in promoting the exit of polluting enterprises from river basins. The research finds that national-controlled water stations only significantly promote the exit of water pollution-intensive enterprises in the upstream, while the exit effect is not significant in the downstream due to regulatory blind spots, presenting a structural exit feature. Mechanism analysis indicates that upstream enterprises accelerate their exit due to limited innovation and rising costs, while downstream enterprises have a stronger tendency to survive due to lenient supervision. Heterogeneity analysis shows that the effect of discontinuous supervision varies due to differences in regional economic development levels and fiscal pressures. The study reveals the spatial limitations of the national-controlled water station monitoring system and its constraints on the efficiency of river basin governance, providing theoretical basis and policy recommendations for optimizing the layout of water quality monitoring networks and promoting coordinated governance between upstream and downstream areas.

This study focuses on the coordinated relationship between regional economic development and ecological protection, taking the Middle Reaches of the Yangtze River Urban Agglomeration from 2010 to 2023 as the research object. It adopts methods such as the equivalent factor method with correction coefficients, spatial autocorrelation analysis, and geographical detector to systematically examine the spatiotemporal evolution features of the Ecosystem Service Value (ESV) in this urban agglomeration, and explores the key driving factors of its spatial differentiation, and clarifies the interaction paths and mechanisms among various driving factors. The results show that: 1) The ESV of the Middle Reaches of the Yangtze River Urban Agglomeration exhibited an increasing tendency from 2010 to 2015, and a downward trend from 2015 to 2023. Woodland and water areas are the main land types contributing to ESV, and the value of hydrological regulation services dominates among various ecological functions. 2) There is a significant positive spatial correlation of ESV in the study area, with the agglomeration effect generally enhanced. The spatial distribution presents a pattern of "concentrated high-value areas and extensive low-value areas". High-value areas are mainly distributed in water areas such as Dongting Lake and Poyang Lake and surrounding areas with good ecological conditions, while low-value areas are concentrated in the core urban areas of Wuhan, Changsha, Nanchang and other cities. 3) The spatial differentiation of ESV in the middle reaches of the Yangtze River Urban Agglomeration is affected by the coupling effect of natural and social factors. Among them, elevation is the primary factor affecting the spatial differentiation of ESV, followed by slope, NDVI (Normalized Difference Vegetation Index) and Human Activity Index (HAI). The interaction between any two factors is stronger than the impact of a single factor, and the interaction between elevation and HAI is the strongest, which reflects that topographic conditions and human activities jointly shape the spatial pattern of ESV.

The article takes prefecture level cities in the Yangtze River Economic Belt from 2008 to 2021 as the research object, and uses methods such as super efficiency MinDS-GML model, kernel density estimation, standard deviation ellipse, exploratory spatiotemporal data analysis, and panel quantile regression to explore the spatiotemporal evolution characteristics and influencing factors of green low-carbon transition in the Yangtze River Economic Belt. It’s found that: 1) The level of green low-carbon transition index in the Yangtze River Economic Belt has shown a fluctuating upward trend over time, accompanied by a multipolar differentiation phenomenon; the overall manifestation of green low-carbon transition index in the region is a spatial pattern of "high at both ends and low in the middle", presenting a clustering trend of "large areas, small scattered". 2) The local spatial structure of the green low-carbon transition index in the Yangtze River Economic Belt has a certain degree of robustness; during the process of spatiotemporal transition, there is relatively little transfer between different types of spatial correlations. The spatial correlation structure of the green low-carbon transition index is greatly influenced by its own factors, and there is a certain risk of falling into the dilemma of transition in low-value areas. 3) Government support, green innovation, human capital, environmental regulations, opening up, and industrial structure all have significant impacts on the green low-carbon transition, with green innovation having the strongest effect; the effects of various influencing factors vary at different quantiles.

Research on gentrification in China lacks an understanding of the inherent laws of gentrification phenomena and an objective value judgment of gentrification effects. Focusing on cultural tourism resource-enabled gentrification, this study analyzes the types, mechanisms, and effects observed in the renewal and transformation of Nanjing's "Southern Old City". Specifically, first, cultural tourism gentrification within the "Southern Old City" can be categorized into three types: historical block reproduction, poetic habitat reinvention, and functional superimposition upgrading. Second, the increase in "potential land rent" and the "monopoly rent gap" generated by high-quality, scarce cultural tourism resources constitute the core driving force of cultural tourism resource-enabled gentrification. The diverse paths and types of this gentrification are shaped by the different combinations and dynamic changes in power dynamics and interest relations among local governments, market forces, and social groups. Third, while gentrification facilitates the revival, reproduction, and diversified use of historical and cultural heritage, vigilance is required against issues such as excessive capitalization and commercialization. It is suggested that greater efforts should be devoted to enhancing the exploration, protection, and utilization of historical and cultural resources, avoid negative consequences such as "residential displacement" and social inequity during the process of gentrification, and guide cultural and tourism-driven gentrification to serve as an effective tool for promoting urban renewal and high-quality development.

Against the backdrop of rural revitalization strategies, the return of residents to rural tourism destinations has emerged as a critical pathway to activate endogenous development dynamics in rural areas. This study constructs a four-dimensional theoretical framework of "connotation attributes—key issues—implementation logic—research framework" to reveal the mechanism through which returning residents promote comprehensive rural revitalization via the synergy of talent, technology, and capital. Findings indicate that returnees drive industrial integration, ecological value transformation, and cultural inheritance through the "human capital upgrading—spatial reproduction—governance modernization" transmission chain, yet challenges such as structural talent mismatch and fragmented policies persist. The proposed "element-fusion-transmission" analytical framework addresses gaps in existing research on dynamic mechanisms and multidimensional synergies, offering theoretical and practical insights for policymakers to optimize talent strategies and balance conservation-development goals. The innovation lies in systematically integrating industrial, ecological, and cultural dimensions, providing a novel perspective for resolving urban-rural resource disparities and achieving sustainable rural development.

Since China's economy and society have entered a high-quality development stage, the demand for high-quality culture and tourism consumption has increased rapidly. Red resources are the distinctive symbol of the integrated development of culture and tourism. Therefore, it has great theoretical significance and practical value to explore their regional radiation effect and mechanism. This article constructs a theoretical framework comprising five domains: the spatial domain as the driving force, the element domain as the basis, the industrial domain as the support, the management domain as the guarantee, and the cultural domain as the distinctive feature. Taking "Hometown of Xiaoping Tourism Area" as an example, this article deeply analyzes the regional radiation effect and mechanism of red resources. Based on theoretical analysis, this study summarizes the mechanism and path for promoting the high-quality development of all-area tourism with red resources as the core, constructs the evaluation index system of red resources' radiation power from five dimensions and systematically explores the level of radiation. The results show that: 1)Red resources have become one of the most attractive tourism resources, which can serve as a growth pole leading the development of regional tourism; 2)Red resources can drive regional radiation in all-area tourism and possess unique cultural radiation effects. Moreover, their role is consistent with the principle of all-area tourism development, which demands coordination among factors, industry, and management under the spatial domain's guidance. 3)The empirical analysis shows that red resources can attract tourists' attention and has obvious temporal and spatial differences among sub domains. Finally, drawing on the development experience of the Xiaoping's hometown scenic area, this paper puts forward strategic suggestions for the high-quality development of tourism in red scenic spots.

The "sheltered-type" landscape spaces in traditional villages refer to the spatial organizations designed primarily for self-concealment, risk avoidance, and threat prevention. The essence of this type of landscape is not merely a spatialized response to collective security needs, but also a cultural translation strategy for addressing existential anxiety. While the external manifestations of villages across different ethnic groups display heterogeneity, the underlying spatial schema structures exhibit commonalities. This study employs a spatial schema methodology, integrating perspectives from philosophy, design, and cultural psychology, to explore the common schema structure inherent in the landscape heritage of traditional villages. On one hand, the study constructs the generative mechanism of "sheltered-type" landscape spaces, which is shaped through the interplay between the logical schema of "community clustering", "harmony prioritization", "awareness of potential threats" and the context schema of "geographic diversity" and "richness of social interactions". This interplay gives rise to a "ring-like structure", unveiling the dynamic relationship between foundational cultural roots and diverse external manifestations. On the other hahnd, addressing the deficiencies in the conservation of traditional village landscapes, the study takes examples from Han, Tibetan, Tujia, Yao, Dong, and Dai ethnic groups to establish a "point-line-plane-volume" framework. It proposes preservation pathways characterized by "horizontal enclosure" and "vertical separation". By analyzing the spatialized representation of the multiethnic unity of the Chinese nation, the study benefits to enhance cultural subjectivity, strengthen ethnic identity, and provide theoretical reference for the indigenous preservation of this type of landscape heritage.