Enterprises are the main contributors to carbon emissions, improving their carbon performance is an important focus for achieving the carbon peaking and carbon neutrality goals and promoting high-quality economic and social development. Based on the micro data of A-share listed companies from 2008 to 2021, this article constructs a multiphase difference-in-difference model to examine the impact mechanism and effect of low-carbon city pilot policy implementation on the carbon performance of enterprise. It's found that: 1) The low-carbon city pilot policy significantly promoted the improvement of enterprise's carbon performance, with a marginal effect of 0.232. 2) The low-carbon city pilot policy has a more prominent promoting effect on the carbon performance of state-owned enterprises, enterprises in the eastern region, and non-heavy polluting industries. 3) The low-carbon city pilot policy promotes the carbon performance of enterprises through mechanisms such as improving their level of green technology innovation and promoting environmental information disclosure. The geographical location has produced a significant moderating effect between low-carbon city pilot policy and enterprise's carbon performance. In order to comprehensively promote the low-carbon transformation and carbon performance improvement of enterprises, it should further optimize environmental policies, encourage green technology innovation, strengthen environmental information disclosure, and balance regional and industry differences in policy implementation

Examining the population change pattern and its influencing factors is an important foundation for promoting the construction of new-type urbanization with the county as the carrier and promoting the integrated development of urban and rural areas according to local conditions. This paper constructs an analytical framework of "pattern-scale-function-mechanism" of the demographic change of counties in the process of Chinese-style urban-rural modernization, and explores the internal logic of the demographic change of counties and urban-rural development in the process of Chinese-style urban-rural modernization. It comprehensively uses the methods of rank-size, specialization index and gradient boosting decision tree (GBDT) to investigate the population change of counties, and explore the relevant influencing factors and their heterogeneity. It's found that: 1) The proportion of county population to urban population is declining, and the population loss of county is more serious in the north of China than that in the south of China, and is concentrated in the northeast region and the inter-provincial border areas. 2) The population size system of the counties exhibits the relatively flattened feature, the population change of counties in different types of main functional areas is not significant. The population growth is closely related to the distance from the central city in counties which are the urbanization areas and the main producing areas of agricultural products. 3) Economic development is the key factor affecting the population change of counties, its influence degree is constantly increasing, the impact of infrastructure and public services on population change in counties has not changed much and tends to be stable, the impact of policies and locations on population changes in counties is relatively limited, and the fluctuation degree of different factors on the population change of counties has obvious spatial heterogeneity.

This study establishes three road accessibility indicators based on the road network data in Chinese mainland, and analyzes the spatial characteristics and evolution of the road accessibility in 334 cities of China from 1980 to 2019. The results show that: 1) From 1980 to 2019, the average value of geographic accessibility decreased from 47.60 hours to 17.92 hours. Thereinto, the reduction in average travel distance contributed 8.7%, while the increase in average travel speed contributed 91.3%. 2) The geographic accessibility and the overall economic accessibility both show a "core-periphery" feature, and the regions with fastest improvement in the above two indicators coincide with the regions with high economic growth potential. However, the highest road accessibility regions are not the most developed regions. 3) The regional economic accessibility shows that cities with advanced accessibility locate in a belt-like regions along the eastern coastal region and disperse in inland region. Regions with superior regional economic accessibility mostly overlap with the most economic developed areas. Therefore, it is necessary to choose different indicators to analyze the impact of road transportation network on the economy.

Based on the check-in spot data shared by users of Xiaohongshu platform and the POI data of Amap, this study explores the spatial distribution of urban Internet-famous recreational spaces (IRSs) and physical recreational spaces (PRSs) and their differences in main urban area of Changsha by the means of spatial analysis methods, and reveals its formation mechanisms using the grounded theory method according to online texts and interview transcripts. The results indicate that: 1) Overall, IRSs in Changsha's main urban area exhibit the distribution trend of a northeast-southwest orientation, while PRSs exhibit the distribution trend of a northwest-southeast orientation. The clustering intensity and scale distance of IRSs are both weaker than that of PRSs, showing a "polar-core with multiple points" distribution pattern with distinct core-periphery characteristics, while PRSs display a "single-core with multi-centered patchy" distribution. 2) Compared with PRSs, The high-cluster areas of IRSs in Changsha have notably shifted westward, primarily concentrating in high-vitality public recreational areas such as urban waterfronts, suburban mountainous regions, and commercial district. 3) The formation of IRSs' distribution characteristics is the result of the joint action of human-media-place and other factors. The characteristics and charms of urban PRSs provide a physical basis for the formation of IRSs' distribution characteristics. The popularity and influence of social media have strengthened the formation of IRSs' distribution characteristics, the change of the psychology and behavioural patterns of tourists is an important trigger for the formation of IRSs' characteristics. Based on the above, this research proposes specific measures for shaping IRSs from the perspectives of human, media, and place respectively.

The uneven spatial distribution and agglomeration of economic geographic space is the normal state,the agglomeration advantages of the core areas makes the innovation research in core areas become the mainstream,innovation in peripheral regions is often neglected and underestimated. However,in recent years, there has been a rise in innovative activity in peripheral regions, which has attracted the attention and explanation of academic circles. The current research investigates innovation in peripheral regions from multidisciplinary perspectives. However, there is still no consensus on the conceptual definition,innovation trajectories,and other related aspects. Additionally,there is no systematic literature review or mechanism explanation. Therefore,this paper conducts a comprehensive examination of innovation in peripheral regions,elucidating the meaning of "periphery", defining the behavior of "innovation in peripheral regions", and creatively constructs an analytical framework to comprehend the trajectories of innovation in peripheral regions via "internal,external,and systemic innovation". Innovation in peripheral regions necessitates the synchronized alignment of regional initiative,the external environment,and regional capability. In addition to exploring its own capabilities and taking proactive measures to achieve "internal innovation",it also needs to incorporate new external knowledge to achieve "external innovation" and embed itself into the system to reach multi-scale "systemic innovation".

Urban economic convergence is a significant criterion for judging the achievement of common prosperity. Based on the panel data of 285 cities in China from 2003 to 2022, this paper tests the convergence of urban economic growth in China using spatial error model (SEM), spatial Markov chain and kernel density estimation. It's found that: 1) There was an unconditional convergence trend in urban economic growth rate. Specifically, the convergence rates accelerated after controlling urban scale, financial situation, economic structure, economic openness, public service level and spatial error term. 2) The variation of urban economic level was gradually decreasing, but this trend mainly came from catching up with those cities outside the province, while the inter-city economic gaps of some provinces expanded during some periods. 3) The convergence of urban economy shows the global characteristic, and the three convergence clubs in eastern, central and western regions not only have convergence trends within themselves, but also have common convergence trends among clubs. 4) Urban economic convergence is dynamic. It divides urban economic development level into five categories in 2003 according to the quartile: lower level, low level, medium level, high level and higher level, which converges to steady states of 5%, 12%, 17%, 41% and 25% respectively after 100 times of Markov transition. The findings indicate that government financial behavior and market factor flow affect urban economic convergence, the complementarity of market mechanism and administrative mechanism helps to promote a higher level of dynamic and global common prosperity in the sense of economic geography.

Based on the data of Baidu search index of ChatGPT from December 2022 to June 2023 this article analyzes the evolution characteristics and influence mechanism of generative artificial intelligence (GenAI for short) attention degree by the ArcGIS, multivariable linear regression model, and spatial econometric model. The results show that: 1） GenAI attention degree showed the inverted-V evolution trend in China during the research period. 2) GenAI attention degree had the characteristics of regional agglomeration, which initially showed the distribution of a giant block shape with the Shandong Peninsula, the Yangtze River Delta and the Pearl River Delta as the cores, later evolved into the distribution of a small block shape. 3) Scientific and technological development, corporate development, advanced industrial structure, education level, degree of opening up, digital infrastructure and government support all had a significant positive effect on GenAI attention degree, and in addition to the digital infrastructure, the other influencing factors have the spatial spillover effect, which is the main reason for the regional aggregation of GenAI attention degree. Based on the research conclusions, this article proposes some suggestions that are increasing the technological investment and policy support for high-tech cities, establishing a high-level talent training system, improving relevant regulations and ethical standards to promote the development of GenAI industry and optimize the layout of high-tech industry.

It is an urgent practical problem to coordinate the spatial conflict between production,living and ecological (PLE) and to optimize the territorial space in the current academic frontier and territorial space planning. Based on an overview of the research progress on spatial conflict and conflict risk, this article preliminarily establishes the logical main line of the research on PLE space conflict risk by focusing on the construction of basic theories,identification and evaluation,driving mechanism,optimization and regulation. It combines with the multi-function of land use and the framework of social-ecological system(SES),and deeply analyzes the formation mechanism of PLE space conflict risk and its occurrence from the dimensions of management-control and spatial form. This article condenses the conceptual connotation of PLE space conflict risk,and establishes the classification system of PLE space conflict risk. In the construction of the method system,this paper puts forward the assessment path of the PLE spatial conflict risk,the research path of the PLE space conflict risk driving mechanism and the PLE space optimization path based on the conflict risk. In the future, it should start from strengthening the research on PLE spatial conflict risk in small and medium-sized space units,and strengthen the research on PLE spatial conflict risk in the aspects of in-depth exploration of the application scenarios of PLE spatial risk in territorial space plans, and the development of intelligent supervision platform of PLE spatial conflict risk.

The widening gap between the north and the south in China has become a typical phenomenon of unbalanced and inadequate regional development. This paper uses the nighttime satellite light data from 1992 to 2020 to analyze the North-South gap and its dynamic evolution characteristics, evaluates its global and local convergence, and explores the main factors affecting the convergence of the North-South gap. The empirical results show that: 1) During the sample period, the North-South gap showed a downward-upward trend of repeated fluctuations, but after 2013, it showed a new round of accelerated expansion trend. 2) The South and the North in China both experienced a process from non-existent club convergence to club convergence, which is mainly reflected divergence in the southern region and convergence in the northern region. 3) There are obvious local convergence characteristics in the southern and northern regions, but the steady-state level of convergence in different regions is differentiated. 4) The gap between the business environment and the innovation level is the main factor causing the accelerated differentiation between the northern and the southern regions. Technological progress and innovation level are the leading forces leading to the internal differentiation in the southern region, and the change of industrial structure has a positive effect on narrowing the internal gap in the northern region. This paper provides an effective policy reference for narrowing the gap between the northern and the southern regions and promoting regional coordinated development.

Dominance degree of red resources which can reflect the regional red resource endowment and relative advantage is the material basis for the overall protection and utilization of red resources. Taking 1227 red resources belonging to the immovable cultural relics of Hunan Province as the research objects and the counties as the basic units, this article constructs a dominance degree measurement model of red resources from four aspects of richness degree, quality degree, agglomeration degree and accessibility degree, measures the dominance degree of red resources in Hunan Province comprehensively, and analyzes their spatial differentiation pattern. The results show that: 1) The red resources in Hunan Province show the agglomeration distribution pattern taking Sangzhi County as the high-density core area. 2) Richness degree and accessibility degree of red resources in Hunan Province are relatively high, but quality degree and agglomeration degree are relatively low. Furthermore, accessibility degree shows obvious "center-periphery" circular spatial distribution, while richness degree, quality degree and agglomeration degree of red resources mainly show scattered, clumpy, banded or sheet-like distribution. 3) The dominance degree of red resources in Hunan Province is at medium level, the quantitative structure of dominance degree of the county's red resources shows the fusiform characteristic. 4) The spatial pattern of the dominance degree of red resources in Hunan Province generally shows the pattern which is at high level in the eastern, central and southern Hunan, and at lower level in other areas.

Rural healthcare sojourn is the intersection and breakthrough point of the Healthy China and the Rural Revitalization,as well as an emerging industry development of China's western region in new era that will make tourism as a regional pillar industry. Taking the northwest of Yunnan as a case study area and each typical village as a research unit,this paper uses the maximum entropy model and geographic detector to integrate multi-source geospatial data to construct an evaluation index system of the ecological suitability of rural healthcare sojourn destinations,explain its spatial distribution,and explore the influencing factors and driving mechanism of spatial differentiation. The results show that: 1) In terms of spatial distribution,the ecological suitability of rural healthcare sojourn destinations in northwestern Yunnan generally presents a spatial pattern of "high in the southeast of research area and low in the northwest of research area",and forms a "dual core-radiation" area centered on Dali Baizu Autonomous Prefecture and Lijiang City,and a "mountain-water-village" healthcare sojourn structure. 2) In terms of influencing factors,the ecologically suitable areas of rural healthcare sojourn destinations are the result of a combination of factors such as topography,air quality,climate,hydrology, and wild food sources. 3) In terms of driving mechanism, elevation, slope, NDVI and the distance to river play a dominant role in the distribution of rural healthcare sojourn destinations in northwestern Yunnan. This paper not only expands the research on rural healthcare sojourn destinations,but also provides theoretical reference and practical suggestions for the high-quality development of rural healthcare sojourn destinations in northwestern Yunnan.

Maritime service is the link to realize trade circulation and economic globalization. Distinguishing the actual status of maritime service trade in various countries is of practical significance to promote the virtuous cycle of trade and the stable development of shipping industry,and quantitatively identify the pattern and characteristics of maritime service trade. Therefore,this article uses the social network method to explore the topological characteristics and evolutionary laws of the global maritime service trade network. The results show that: 1) In terms of the evolution of network structure characteristics,the network density increases from 0.143 to 0.241 during the sample period,and the network of maritime trade services tends to be complicated and dense,with the characteristics of core edge hierarchy,small world and polarization,while scale-free is not obvious. The Pearson correlation coefficients of node degree and strength degree are -0.4780~-0.3930 and -0.0206~-0.0155,respectively. The trade network of maritime service is a typical heterogeneous network. The frequency of appearance of GCX,F8X,and FKX motifs is relatively high in each year,export structure and reciprocal structure are the important modes of maritime service trade,while highly centralized trade mode is not prominent. 2) From the perspective of each country's network status and role,core countries such as the United States,Germany and Japan play an absolute leading role in the network,South Asia is a low-value trade agglomeration area,it shows a spatial pattern dominated by Europe,Asia and North America. The node degree centrality of China and India is gradually improved,and the network status of emerging economies is obviously enhanced. Singapore is the hub of maritime service trade,Germany and the United States are major exporters of maritime service trade,Japan,the United Kingdom and Thailand tend to assume the role of import initiator,and China as the core country and intermediate node plays an important role in transmission.

This article constructs a comprehensive evaluation index system of the development level of new quality productive forces. Based on the super-efficiency SBM-DEA model,the entropy weight-TOPSIS method,exploratory spatial data analysis methods,and spatiotemporal geographical weighted regression models,it analyzes the evolution characteristics and influencing factors of China's new quality productive forces from 2013 to 2022,and explores the spatiotemporal differences in the impact of different influencing factors. It's found that: 1) The development level of new quality productive forces shows an upward trend,with a spatial distribution pattern of "high in the east of China and low in the west of China", and significant spatial differences in the level of new quality productive forces. 2) The development of new quality productive forces exhibits significant positive spatial autocorrelation and spatial clustering,with high-high clustering areas mainly located in the eastern coastal regions and low-low clustering areas mainly in the western regions. The absolute spatial differences in new quality productive forces have expanded in recent years. 3) Economic, educational, policy, and resource factors influence new qualitative productivity. Domestic economic development levels, foreign trade levels, overall educational investment levels, higher education development levels, and the overall policy focus have a positive impact on new qualitative productivity, while the availability of water resources and mineral resources has an overall negative impact. Additionally, the influence of various factors varies across time and space.

Based on the data of 30 provincial-level regions in China from 2011 to 2022,this paper explains the theoretical concept of high-quality urban development from the perspectives of innovation,coordination,green,openness,and sharing,and measures the comprehensive level of high-quality urban development and the level of digital economy development from the perspectives of the internet,informatization,digital industry. It explores the mechanism and effect of digital economy empowering high-quality development of Chinese cities through empirical examination. The results are as follows: 1) The development trends of digital economy and high-quality urban development are generally good. The digital economy development is higher in the eastern region than that in the western region,followed by the northeastern region and the central region,while the level of high-quality urban development decreases from the east of China to the west of China. 2) This paper shows that the digital economy significantly promotes high-quality urban development,with every 1 unit increase in the level of digital economy development leading to a 0.575 unit increase in high-quality urban development. This conclusion remains valid even after considering a series of robustness tests. 3) This paper highlights the mediating role of factors such as optimal allocation, industrial structure advancement,and technological progress in the process of high-quality urban development empowered by the digital economy. 4) In order to give full play to the economic effect of the development of digital economy and improve the level of high-quality urban development,it puts forward some measures and suggestions that are improving the level of digital economy development to narrow the regional development gap,improving the allocation accuracy and utilization efficiency of urban land elements in the digital economy development,and strengthening the empowering effect of digital economy in the high-quality urban development.

This paper establishes a comprehensive evaluation index system for achieving common prosperity in Zhejiang Province from the aspects of income distribution gaps, disparities in regional urban-rural development, shared public services, material economy, spiritual and humanistic needs, ecological environment, and social harmony. This system investigates the development characteristics and influencing factors of common prosperity of Zhejiang Province at provincial and prefectural levels. The results show that: 1) From 1990 to 2020, the level of common prosperity in Zhejiang Province increased from 42.36% to 76.06%. From 2005 to 2020, the level of common prosperity showed a stable upward trend at prefectural level. 2) From 2005 to 2020, the overall level of common prosperity improved across prefecture-level cities from 2005 to 2020, regional disparities among these cities also widened. 3) Income distribution gaps gradually replaced the material economy as the primary obstacle at the criterion level for common prosperity in Zhejiang Province. The influence of the ecological environment on the development of common prosperity in Zhejiang Province has gradually increased, while the impact of common public services has decreased. The Gini coefficient emerged as the most extensive and profound obstacle factor at the criterion level for common prosperity among prefecture-level cities in Zhejiang Province. To promote the development of common prosperity in Zhejiang Province, it proposes the following strategies: improving the mechanism for public services to ensure high-quality common services, boosting residents' income to broaden the path from the well-off to the less privileged, advancing ecological civilization to firmly establish a path for green development, and encouraging regions to strive for excellence and disseminate exemplary experiences.

Based on the digital inclusive finance index and the resilience index of the agricultural industry chain measured by macro and micro data of agricultural research, production, marketing and service, this study theoretically and empirically explores the spatial effect of digital inclusive finance development on the resilience of agricultural industry chain. It's found that: 1) The level of digital inclusive finance and the resilience level of the agricultural industry chain both generally show the rising trend with significant regional disparities, there exists a spatial pattern of "high-high" concentration in eastern region and "low-low" concentration in central and western regions. 2) Digital inclusive finance can expand the coverage of traditional finance, ease the financial constraints of agriculture-related enterprises, promote the upgrading of industrial structure and the extension of the chain, and improve the resilience of the agricultural industry chain. There are spatial spillovers and regional heterogeneity, and have positive effects on its coverage breadth, depth of utilization and digitization degree. 3) Digital inclusive finance can promote the enhancement of agricultural industry chain resilience through promoting agricultural technological innovation. To enhance the resilience of the agricultural industry chain, digital inclusive finance needs to promote the construction of digital infrastructure, innovative financial products and services, and strengthen the construction of agricultural science and technology support systems.

Promoting coordinated regional development is an important approach to basically achieving modernization with Chinese characteristics. On the basis of summarizing the new trends and referential experiences of regional coordinated development during the "14th Five-Year Plan" period in China, this article puts forward four laws of economic geography that are applicable to the current stage of regional coordinated development in our country. Specifically: 1) National modernization and coordinated regional development are symbiotic, there exists no national modernization with pronounced disparities in inter-regional economic development levels. 2) The structural characteristics of regional geographical functions and the redistribution process of economic gains among regions determine the equilibrium state of living standards and economic development levels between urban and rural areas and among regions. 3) The different from the period of building a moderately prosperous society is that human resources and technological progress have become dominant and decisive factors in the economic development processes of both developed and underdeveloped regions during the modernization period. 4) Regionally differentiated development relying on comparative advantages serves as the cornerstone for enhancing the overall efficacy of national modernization, and increasing the value of ecological products is the key focus of institutional reform for promoting coordinated regional development. Finally, this article also conducts an initial discussion on the adaptive strategies for promoting coordinated regional development during the "15th Five-Year Plan" period.

This article aims to explore the intrinsic connection and mechanism between new quality productive forces and high-quality development of the tourism industry. It firstly defines the concepts of new quality productive forces and high-quality tourism development,and analyzes the logical relationship between them. On the basis of the above, this article further explores the application scenarios of new quality productive forces in the tourism industry, including scenario innovation, service model transformation,and the construction of a unified scheduling platform. It's found that new quality productive forces play a key empowering role in the high-quality development of the tourism industry through innovation driven factor allocation, structural optimization of digital technology, production synergy of institutional change,and green development effects of spatial aggregation. Based on the above, this article proposes strategies, such as building a dynamic management intelligent platform,optimizing the allocation of cultural and tourism resources,strengthening digital connectivity between regions, and adhering to low-carbon and green development, in order to promote the high-quality and sustainable development of the tourism industry.

Clarifying the impact mechanism of spatial qualities on regional price levels and improving the mechanism of spatial qualities leading to talent regional migration will, to some extent, enrich and develop existing theories in New Spatial Economics. This article constructs a analysis framework of New Spatial Economics to explain the formation mechanism of quality premium, that is, spatial qualities drives the total price index up through industrial product premium. Furthermore, it empirically explores whether the quality premium exists and whether it exhibits non-linear effects due to threshold effect. The study finds that: 1) Spatial qualities significantly improves regional price levels, confirming the existence of the quality premium phenomenon. 2) There is a threshold effect of quality premium based on economic development, talent scale, and urbanization, all of which show a trend of gradually increasing quality premium. 3) There are differences in the trend of quality premium in ecological environment, public services, cultural and entertainment amenities, and infrastructure.

Taking Zhejiang Province as the research area,this paper establishes an evaluation index system of the green finance development level at county level, and reveals the evolution characteristics of green finance development from 2007 to 2022. It uses spatial econometric models to identify the key factors influencing the green finance development level in counties of Zhejiang Province, and system dynamics (SD) models for simulation and prediction. It's found that: 1) The green finance development level has been consistently rising in counties of Zhejiang Province,with notable spatial disparities among them. 2) The green finance development level has shifted from primarily low-value areas to predominantly high-value areas,exhibiting clear directional characteristics and a general trend of shrinking distribution range. 3) Factors such as technological innovation,deposit level,industrial structure upgrading and environmental pollution exhibit a positive impact, economic development and energy consumption level have a significant negative effect. 4) When Zhejiang Province maintains a collaborative development path, the county-level green finance development capacity achieves the highest scores which are 75.46 in 2030 and 78.80 in 2035,respectively. Conversely, under the stable status quo path, the county-level green finance development capability achieves the lowest scores which are 74.78 in 2030 and 77.04 in 2035, respectively.

Delving into the spatial correlation network structure and driving factors of enterprises' new-quality productive forces is helpful to cultivate and strengthen new drivers of economic development. This paper takes A-share listed companies in the Pearl River Delta (PRD) region as samples, utilizes the entropy method to calculate the index of enterprises' new-quality productive forces, and conducts quantitative analysis on the spatial correlation network structure and driving mechanisms of enterprises' new-quality productive forces based on the social network analysis, the density-based spatial clustering of applications with noise (DBSCAN), and the QAP non-parametric estimation method. The results indicate that: 1) The new-quality productive forces of enterprises in the PRD region exhibits a dual-core spatial clustering and multi-tier grading characteristic. The first-tier high-density areas are distributed in Guangzhou and Shenzhen, the second-tier sub-high-density areas are concentrated in Zhuhai, the third-tier medium-density core areas are centered around the Guangzhou-Zhuhai line and the surrounding areas of Shenzhen, and the fourth-tier low-density core areas are mainly distributed in the inland hinterland of the PRD region. 2) The spatial correlation network structure of enterprises' new-quality productive forces demonstrates the spatial characteristics of small-world, network densification, long-tail distribution, and an "axis-hub" pattern. The network density and network efficiency exhibit an N-shaped trend (rising first, then falling, and finally rising again), with the overall network connectivity being relatively high. 3) The spatial correlation network structure of enterprises' new-quality productive forces has obvious regional characteristics, the number of network nodes has steadily increased and formed a "2+N" community structure through cooperation, namely two main communities centered on Guangzhou and Shenzhen, and N sub-communities centered on Zhuhai, Zhongshan, Dongguan, Huizhou, which are distributed in an n-shaped pattern around the Pearl River estuary. 4) Based on the nature of the spatial correlation network of new-quality productive forces, the sample enterprises can be divided into four plates. Plate I exhibits non-reflexive structural characteristics and the role of a "net spillover" plate. Plate II has reflexive structural characteristics and the role of a "primary beneficiary" plate. Plate III and plate IV both demonstrate reflexive structural characteristics and the role of "bidirectional spillover" plates. 5) Enterprise size, digital transformation, innovation capability, and ESG performance are key driving factors that facilitate the formation of the spatial correlation network of enterprises' new-quality productive forces.

Based on the population data of Pingyao County for 7 periods since the Republic of China, this paper analyzes the spatio-temporal evolution characteristics, influencing factors and mechanism of the village-level population in Pingyao County of North China in 1920-2010 from three aspects of spatial distribution, scale structure and population change by the means of GIS spatial analysis, rank-size model, Geodetector, and multi-scale geographically weighted regression. The results indicate that: 1) Driven by urbanization, the population distribution in Pingyao County has gradually evolved from a "dual-core two-wing" pattern to a single-core pattern in 1920-2010. Hotspots of rural population are mainly concentrated in the county seat and its surrounding areas, while coldspots are mainly distributed in hills and low mountain regions. The cold and hot spots of the rural population have gradually decreased, the spatial agglomeration of the rural population has weakened. 2) The hierarchical structure of the population has changed from "pyramid" structure to "olive" structure and then gradually evolves to "inverted pyramid" structure, with fluctuations in population size differentiation. Since 1990, the distribution of population size has tended to be concentrated. 3) The village-level population in Pingyao County has undergone a cyclical evolution from negative growth to medium growth and then to negative growth. While the sequence of population evolution across different topographic regions was similar, the specific evolutionary processes were not synchronized. 4) The distribution of population in Pingyao County is the result of the combined effects of topographic conditions, geographical location, and arable land area, etc. There are differences in the influence mode and direction, the change of influence degree and the spatial difference of the effect are different. With the development of urbanization, the influence of arable land area has shown a weakening trend, while the influence of location factors such as the distances from county, township and road has strengthened. In the process of promoting the integration of urban and rural areas in the county, it is necessary to respect the evolution laws of the county population in a long period of time. The structure and layout of county industries should be adjusting to enhance the radiation capacity of county towns and townships to the countryside. The county road system should be improved and county-town-village linkages should be strengthened in order to slow the decline of rural populations and avoid the hollowing out of rural population.

Based on the dual-dimensional (physical and virtual) evaluation index system, this study uses the methods of kernel density analysis, bivariate spatial autocorrelation and GeoDetector to analyze the spatial variation and influencing factors of the comprehensive development level of red scenic spots in old revolutionary area of Dabieshan Mountains. The results show that: 1) From the perspective of evaluation results, the top ten typical red scenic spots in the comprehensive score are mostly located in the center of the old revolutionary area of Dabieshan Mountains, and the development of Jinzhai and Xinxian is the most prominent. The Jinzhai County Revolutionary Museum is the highest virtual development level with a score of 0.76, and the forrmer site of Zhongyuan Military Region ranks highest in the physical development level with a score of 0.73. 2) The comprehensive development of red scenic spots displays the spatial pattern of "high-level aggregation in the middle of research area and peripheral low-level dispersion". However, overall development of red scenic spots remains low, with insufficient synergy between physical and virtual dimensions to form a virtuous circle. 3) The overall development of red scenic spots presents the agglomeration effect of "dual-core areas and multiple growth poles". The main core and the main growth pole are formed in Xinxian and its surrounding areas, and the secondary core and the secondary growth pole are formed near Jinzhai. 4) The significant HH points are mainly concentrated in Shihe District, Pingqiao District and Yu 'an District. The spatial dispersion of significant LL points and significant LH points is prominent, and there is no obvious agglomeration effect. The significant HL points are concentrated at the junction of Xinxian and Macheng, Yingshan and Yuexi. 5) The construction of scenic spots and regional development environment are the main driving factors, and the interaction between the proportion of red scenic spots and the total amount of post and telecommunication business has a significant impact on the comprehensive development of red scenic spots.

Based on the essential requirements of Chinese path to modernization, this paper explores the basic logic and innovative path of territorial spatial planning, and provides references for building an inclusive, sustainable, and resilient territorial spatial planning system. It uses the theoretical analysis and inductive-deductive method to discuss the basic relationship and innovation path of the territorial spatial planning system in the future. The research results are as follows: 1) The territorial spatial planning in the process of Chinese path to modernization needs to coordinate five basic relationships: the relationship between human civilization form and planning value orientation, the relationship between energy and resource security and planning goal setting, the relationship between sci-technological revolution and planning connotation iteration, the relationship between climate change and planning function synergy, and the relationship between political and economic pattern and planning paradigm change. 2) The innovation path of a future-oriented territorial spatial planning system needs to coordinate five innovative paths, including "modernity" and "localization" of value radius, "common divisor" and "common multiple" of the target system, "synchronic" and "diachrony" of the connotation logic, "topology" and "relativity" of the functional attributes, "typification" and "normalization" of paradigm features. 3) There is an urgent need to grasp three new directions in the development of the territorial spatial planning system to meet future trends. The first is the theoretical construction of the future territorial spatial planning system in the context of Chinese path to modernization. The second is the practical exploration of the future territorial spatial planning system for the modernization of the national governance system and governance capacity. The third is the scientific limits of the future territorial spatial planning system, the relationship between subject and object, the expansion of spatial principles in different application scenarios, technical innovation, and conceptual transformation.

This article aims to clarify the connotation and influencing factors of the coordination development of the"water-energy-food" system of agriculture. Based on the panel data of 30 provincial-level regions in China from 2000 to 2021, this article constructs an evaluation index system for the coordination development of the "water-energy-food" system of agriculture. Various models including coupling coordination,spatial autocorrelation,spatial Markov chain,and spatial econometrics are utilized to explore spatial-temporal evolution and influencing factors of the coordination development level of the "water-energy-food" system of agriculture. The results indicate that: 1) In terms of spatial-temporal evolution,the overall coordination development level of the "water-energy-food" system of China agriculture is relatively low,and shows a fluctuating upward trend and a uneven spatial distribution characteristic which is higher in eastern region than that in western region,followed by northeastern region and central region respectively. 2) In terms of spatial correlation,the coordination development level of the "water-energy-food" system of China agriculture shows a significant positive spatial correlation,with obvious spatial agglomeration characteristics. 3) In terms of influencing factors,urbanization level,agricultural operation scale,sci-tech innovation,fiscal support for agriculture,environmental regulations,and farmer income are all conducive to the improvement of the coordination development level of the "water-energy-food" system of local agriculture. Urbanization level,agricultural operation scale,and sci-tech innovation have significant positive spatial spillover effects.

Based on the measurement index system of the development level of China's active aging industry from 2006 to 2022, this article uses the methods of Dagum Gini coefficient and variance decomposition to decompose the spatial differences in the development level of active aging industry in eight major regions of China, and relies on coefficient of variation method and spatial panel data model to reveal their σ and β convergence characteristics. It's found that: 1) During the sample observation period, the level of development of China's active aging industry continued to rise, but exhibited significant characteristics of structural instability and regional imbalances. 2) The inter-regional difference was the main source of overall regional disparities, and the largest source of structural difference was the differences of the friendly environment dimension. 3) The σ convergence test results show that the development level of active aging industry showed σ convergence characteristics in eight major regions of China. Except for the northeastern region which did not have absolute β convergence or conditional β convergence, and the southern coastal region which did not have conditional β convergence, the differences in the development level of active aging industry showed gradually diminishing trend after considering factors such as economic development level, population age structure, government policy orientation, and scientific and technological innovation, which ultimately converges to the same steady-state level. This article will provide factual basis for a clear understanding of the development pattern of China's active aging industry, and provide policy insights on how to promote the national strategy of actively responding to population aging in a gradient manner and promote balanced development of the aging industry.

This paper constructs of trade dependence networks for key commodities in the semiconductor industry, and reveals the spatiotemporal evolution of global semiconductor trade dependence networks. At the same time, it integrates the relations of trade dependence, international competition and geopolitics to construct a dependence risk measurement model, examines the trade dependence risk relationship and its changes, and further discusses the change of China's status in the trade dependence networks of the semiconductor industry. The results show that: 1) The average dependence level of the trade dependence network of key commodities in the semiconductor industry is significantly reduced, and the dependence agglomeration characteristics are gradually increasing. 2) The trade dependence relationships gradually shift in regional space, showing the characteristics of "rising in the East Asia and falling in the Western Europe and North America", but the core position of North America in the trade dependence network of integrated circuit is stable. 3) The global semiconductor trade dependence is primarily at low risk, the risky relationships are mainly concentrated between some small countries and large countries and show an expanding trend. The trade dependence risk index between core economies such as China and the United States remains low, and there is no outstanding trade dependence risk, which is deviated from the risk perception of the West. 4) China's status in the trade dependence network of various commodities in the semiconductor industry has been continuously improved, and its power disadvantage status in specific trade dependency relationships has reversed, and its risk dominance has been significantly strengthened, however, there is still a certain gap with the United States' influence in the trade dependence network of integrated circuit.

Green innovation is an important pathway to achieve a win-win scenario between environmental protection and economic growth in the Yangtze River Economic Belt (YREB). Based on the green patent data of 108 cities at or above the prefecture level in the YREB from 2010 to 2022, this paper comprehensively employs the methods of spatial autocorrelation model, kernel density estimation and Markov chain to systematically examine the spatial heterogeneity evolution and convergence characteristics of green innovation in the YREB. The results show that: 1) The spatial distribution of green innovation presents a significant agglomeration characteristic in the YREB, with the downstream region forming an innovation hub, while the interregional correlation effects are prominent. 2) The dynamic evolution trend indicate that the overall level continues to improve and there is a path-dependent feature, and the innovation evolution of neighboring cities presents a synergistic effect. 3) Regional disparities display convergence trends, with the upstream region converging the fastest, while the convergence intensity gradually weakens from the upstream to the downstream. Therefore, this paper proposes that it should implement regional differentiation policies and strengthen cross-domain collaborative innovation to promote the balanced development of green innovation in the YREB.

This article constructs the evaluation index systems of the synergy level of pollution-carbon reduction,and the index of green expansion and economic growth. Based on the panel data of 31 provincial-level regions in China from 2011 to 2022,it investigates the spatio-temporal evolution characteristics and driving factors of the coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth in China using the methods of game theory combination weighting method,coupling coordination degree model,multi-scale geographical weighted regression model. The research indicates that: 1) From 2011 to 2022, the overall coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth showed an upward trend in provincial-level regions of China,rising from the stage of mild imbalance to the stage of barely coordinated. The spatial distribution of coupling coordination degree from high to low is the eastern,central,northeastern,and western regions,with the leading advantage of the eastern region being obvious and gradually expanding. 2) The coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth showed the characteristics of spatial solidification and dynamic changes from 2011 to 2022,with a few provinces always at the same stage of coupling coordination and most rising to the stage of barely coordinated and above. 3) Energy consumption structure exerts greater driving effect on the coupling coordination degree in the northeast China and Beijing-Tianjin-Hebei regions,environmental regulation intensity plays a greater driving role in the coupling coordination degree in north China,transportation structure plays a greater role in driving the coupling coordination in the eastern coastal region,population density has a larger driving effect on the coupling coordination in central and southern China,while the positive effect of energy utilization efficiency basically covers all provincial-level samples.

Global Production Networks (GPNs) and regional development are the hotspots and frontiers of international economic geography. However, it should pay more attention on the local enterprise networks dominated by strategic partners of leading firms (SPLFs) in GPNs. Based on the typical case of Foxconn in Zhengzhou, this paper explains the influence of strategic partners of leading firms on regional industry development by building an analytical framework including power relationships, institutional arrangement and industrial development. The findings can be summarized as follows: 1) After Foxconn landed in Zhengzhou, its power relationship attracted some of its original suppliers to move to Zhengzhou. The local government relies on shaping the industrial development ecology and the preferential policies towards Foxconn which aim to develop the local electronic information industry to attract a large number of non-Apple mobile phone companies to gather in Zhengzhou. 2) The intelligent terminal (mobile phone) industry in Zhengzhou Airport Economy Zone (ZAEZ) has formed a triple enterprise network, which is Foxconn system enterprise network, Foxconn crossover enterprise network, and non-Apple mobile enterprise network guided by local government. 3) The formation of the largest production base of Apple mobile phones and the global intelligent terminal (mobile phone) manufacturing base has accelerated the adjustment of the industrial structure in the undertaking areas. 4) The power relationship of SPLFs in GPNs and the institutional arrangements of local governments played an important role in the agglomeration of intelligent terminal (mobile phone) companies and the formation of enterprise networks. This study characterizes the local enterprise networks of SPLFs in GPNs in latecomer regions and expands the research on power relationships of GPNs.

Adequate mobility of labor resources is an important part of smooth domestic circulation. This article explores the impact and transmission mechanism of the digital economy on labor mobility by using conditional Logit model with the data of China Migrants Dynamic Survey in 2011-2018. It's found that: 1) The digital economy significantly promotes labor mobility, and the conclusion still holds after a series of robustness tests and endogeneity treatments such as replacing the independent variables. 2) From the perspective of cities, the development of the digital economy mainly significantly promotes labor mobility in areas located in the west of the Hu Huanyong Line and large cities. From the perspective of individual, the digital economy promotes labor mobility more strongly for males and labor force with low-skill level. 3) The digital economy promotes labor mobility mainly through the channels of reducing individual search costs, regional transaction costs, increasing employment opportunities and reducing inter-regional barriers. The research conclusions provide new arguments for the optimal allocation of labor resources in the process of digital economy development, which is an important inspiration for the optimal allocation of resources in the construction of a unified national market.

This study quantitatively evaluates the coordination level between pollution reduction and carbon reduction in 30 provincial-level regions in China from 2006 to 2020. It analyzes the spatiotemporal evolution trend of this coordination level using the Dagum Gini coefficient and spatial Markov chain. Additionally, it empirically tests the impact of green technology innovation on the coordination level between pollution reduction and carbon reduction. The research findings are as follows: 1) The overall trend of the coordination level between pollution reduction and carbon reduction in China is increasing, exhibiting a "club convergence" phenomenon. The spatial difference of the coordination level between pollution reduction and carbon reduction shows a downward trend in China and three major regions. 2) Green technology innovation plays a significant role in enhancing the coordination level between pollution reduction and carbon reduction, while environmental regulation and government financial support significantly enhance its promoting role. 3) Energy consumption intensity reveals the mechanism of green technology innovation affecting the coordination level between pollution reduction and carbon reduction, environmental regulation and government financial support play negative and positive regulatory roles on this impact mechanism, respectively. 4) Heterogeneity analysis reveals that green technology innovation has a significant promoting role in the coordination level between pollution-carbon reduction for central and western regions, but not for eastern region.

This study reveals the correlation characteristics and interactive mechanism between the rural tourism resource endowment and transportation patterns in karst mountainous regions, with Guizhou Province as the case study using the methods of spatial analysis and accessibility analysis. The results indicate that: 1) Rural tourism resources in Guizhou exhibit an overall cohesive and even distribution pattern, showing the characteristics of being concentrated in the south of Guizhou and scattered in the north of Guizhou, dense in the east of Guizhou and sparse in the west of Guizhou. The highway network demonstrates regional scale effects around the hinterland of central Guizhou and the ethnic group settlements in southeastern Guizhou. 2) The advantage of rural tourism resources presents a dual-peak and triple-valley pattern and concentrates in Qiandongnan Miao and Dong Autonomous Prefecture, the advantage of transportation presents a triple-peak and triple-valley pattern and mainly distributes in Guiyang City, Zunyi City, and Tongren City. The coupling coordination degree between rural tourism resources and transportation network in Qiandongnan Miao and Dong Autonomous Prefecture is the best. 3) The spatial imbalance between rural tourism resources and transportation network is influenced by the cultural history and social environment, showing a trend of shifting towards the southeast. The coordinated development of rural tourism economy in Guizhou is greatly influenced by regional social development, among which road network density and regional GDP are important factors affecting the collaborative process. In the future, it should deeply consider the integrated development strategy of transportation and tourism industries in karst mountainous regions, and empower the road-derived tourism vitality.

The concept of human capital provides an important research perspective for understanding the relationship between industry and people. The spatial coordinated evolution between human capital and industrial structure is of great significance in optimizing resource allocation and stimulating regional development potential. The Beijing-Tianjin-Hebei region is in the crucial period of industrial structure upgrading and innovation-driven development. This study demonstrates the spatial pattern evolution of the human capital level and industrial structure upgrading level at the county level, and explores their spatial coupling and synergy. The results show that: 1) The levels of human capital and industrial structure upgrading in the Beijing-Tianjin-Hebei region have been increasing rapidly in 2000-2020, resulting in the average degree of coupling coordination between them in this region transmitted from low-level coordinating stage to medium-level coordinating stage. 17% of counties reached the high-level coordinating stage, mainly distributed in municipal districts around large cities such as Beijing and Tianjin. 2) The spatial pattern of the degree of coupling coordination presents the core-periphery structure, which means that human capital and industrial structure upgrading have a spatially interacted impact. This relationship can be hampered by the administrative boundary and has been enhanced in the north of Beijing-Tianjin-Hebei region while reduced in the south of Beijing-Tianjin-Hebei region. 3) Although the level of educational human capital has been increasing rapidly, the spatial polarization is still within the region, indicating the spatial mismatch between education and industry is the main challenge to achieving regional synergistic development. The results provide suggestions and references for allocating regional human capital rationally and promoting the high-quality development of the Beijing-Tianjin-Hebei region.

Developing new quality productive forces is an inherent requirement and an important focus for promoting high-quality development. This paper constructs an evaluation index system from three dimensions: technological innovation capability, industrial transformation and upgrading, and innovative allocation of production factors to measure the level of new quality productive forces in 30 provinces in China from 2011 to 2022. The Moran's I, kernel density estimation, Markov chain transition matrix, Dagum Gini coefficient, and convergence model are used to reveal the spatiotemporal evolution pattern, regional differences, and convergence characteristics of new quality productivity development. Furthermore, the obstacle degree model and geographic detector model are used to explore the influencing factors of new quality productivity development. The findings reveal that: 1) During the research period, the level of new quality productivity in China steadily increased over time, with a clear decreasing distribution pattern of "high in the east and low in the west". 2) The development level exhibits a positive spatial correlation, with high-level neighboring regions positively impacting their adjacent areas. 3) From the perspective of regional differences, there are large regional disparities in the development level of China's new quality productivity, with the contribution of inter-regional differences taking the first place, followed by intra-regional differences, and that there are significant absolute β-convergence and conditional β-convergence characteristics in the whole country as well as the three major regions of the eastern, central, and western regions. 4) From the perspective of influencing factors, scientific and technological innovation capacity is the core factor in cultivating and developing new quality productivity, openness, informatization, labor force level, and transportation infrastructure are the main driving factors that lead to the spatial differentiation characteristics of new quality productivity across the country as well as in the eastern, middle, and western regions.

Base on the panel data of 28 cities in urban agglomerations of the middle reaches of the Yangtze River, this article empirically investigates the spatial effects of new-type urbanization affecting regional high-quality development from 2011 to 2022 adopting the entropy weight method, OLS model and spatial Durbin model. The results show that: 1) The new-type urbanization and regional high-quality development level centered on the three provincial capital cities of Wuhan, Changsha and Nanchang show a spatial pattern that radiates to the surrounding areas, and there is a significant development gap among different regions. 2) New-type urbanization has a significant role in promoting regional high-quality development,the improvement of financial development level,economic agglomeration levle and infrastructure level has a significant positive impact on regional high-quality development,while the improvement of informatization level and government intervention level has a significant negative impact on regional high-quality development. 3) The impact of new-type urbanization on regional high-quality development of urban agglomerations in the middle reaches of the Yangtze River has a significant spatial spillover effect, and the promotion of local high-quality development is stronger than the impact on neighboring regions.

Based on the theory of geological information Tupu, this study defines the spatial units of tourism resources from a multi-scale perspective and constructs four types of spatial information Tupu for tourism resources at different scales: spatial scale, spatial correlation, spatial combination, and spatial structure. Taking Hainan Island as a case study for empirical analysis, it reveals the spatial variation patterns of multi-scale tourism destinations. It's found that: 1) The characteristic scales of all tourism resources and cultural tourism resources in Hainan Island are consistent, whereas natural tourism resources exhibit significant differences in characteristic scales. At the full-scale level, the characteristic scale for cultural tourism resources is 600 meters, whereas that of natural tourism resources is 14 kilometers. Additionally, the optimal scale for cities and counties is less than 2 kilometers. 2) Tourism resources exhibit distinct spatial correlation characteristics under various terrain conditions. It demonstrates stronger correlation in the eastern region of Hainan Island within a 5-kilometer range, while in the western region of Hainan Island, a stronger correlation is observed within a 12-kilometer range. 3) Based on characteristic scale, The combination of natural tourism resources with other type of tourism resources is relatively concentrated in the southern region, whereas the combination of cultural tourism resources with other type of tourism resources are sparsely distributed, mainly in the northern and eastern regions. The combination of natural tourism resources and cultural tourism resources is primarily concentrated in the southeastern, northern, and central regions. 4) As the spatial structure scale of tourism resources changes, the tourism spatial development in the future will also undergo corresponding transformations. The connectivity lines of the tourism resource complex within Hainan Island form a grid distribution pattern. The areas with the highest accessibility include the first-level hotspot area in Haikou, the second-level hotspot area in central Sanya, and the third-level hotspot area in Baisha. Future tourism spatial planning should emphasize the construction of east-west tourism routes. Moreover, based on transportation accessibility, tourism products of varying types should be designed to connect different categories of scenic spots.

Cultural innovation fosters the unique cultural tourism resources, products and services, stimulates the demand for upgraded tourism consumption, enhances the added value of tourism and strengthens the competitiveness of destinations. This paper employs the entropy method to measure the levels of tourism high-quality development and cultural innovation in 30 provincial-level regions in China from 2013 to 2022, analyzes the driving mechanism of cultural innovation on the tourism high-quality development by the means of the methods of fixed effect model and mediation effect test. It explores the spatial effect of cultural innovation on tourism high-quality development with the help of spatial Durbin model. The results show that: 1) The effect of cultural innovation significantly enhances the level of high-quality development of regional tourism. 2) Industrial digitization and industrial structure optimization play positive mediating roles in tourism high-quality development. 3) Cultural innovation has a significant negative spatial spillover effect on the high-quality development of tourism, that is, the advancements of cultural innovation in neighboring provincial-level regions will inhibit the high-quality development of tourism in local provincial-level regions. 4) The impact of cultural innovation on the tourism high-quality development varies significantly due to differences in economic scale, geographical advantages and cultural resource endowments. Notably, the effect of cultural innovation is not significant in western China, while the indirect effect of cultural innovation effect is stronger in coastal regions.

Countries promote trade liberalization of environmental goods (EGs) based on environmental goals while implementing trade protection measures driven by economic objectives. These dual forces collectively shape the trade environment for China's EGs. Based on the China Customs data from 2009 to 2023, this paper examines the export patterns of China's EGs to destination countries, employs a panel data model to analyze the effects of trade liberalization and trade protection, and conducts heterogeneity analyses from the aspects of the provincial level, product, and destination country. The results indicate that: 1) From 2009-2023, the export scale of China's EGs initially increased but subsequently declined, with a noticeable downward trend emerging from 2021. Developed countries accounted for 63.7% of China's total EGs export, while developing countries represented 58.1% of incremental export growth. 2) Trade liberalization positively impacts the export of EGs, whereas trade protection exerts a inhibitory effect on the export of EGs. 3) Provinces with stronger innovation capabilities demonstrate higher export competitiveness and can effectively mitigate the negative impacts of trade protection. 4) Trade liberalization promotes the EGs export with lower export technological sophistication, whereas trade protection shows no differential impact across EGs. 5) Trade liberalization does not significantly increase exports to developed countries, while trade protection negatively affects exports to all types of destination countries. 6) Lower carbon emission intensity and larger market size in destination countries amplify the positive effects of trade liberalization. The findings suggest that continuously promoting technological innovation and advocating trade liberalization policies are essential strategies for China to sustain its global competitive advantage in EGs.

The optimization of spatial pattern in consumption competitiveness holds significant importance for unleashing consumption potential and promoting the integrated development of urban agglomeration consumption. This paper delves into consumption competitiveness from the aspects of actual competitiveness and potential competitiveness, evaluates the consumption competitiveness of 242 cities at prefecture level or above in China. It utilizes Moran's I and the gravity model to primarily dissects the spatial patterns of consumption competitiveness in five seminal urban agglomerations. Furthermore, it analyzes the driving factors of consumption competitiveness by the means of the Geodetector. The results show that: 1) Consumption competitiveness is on the rise, exhibiting a geographical pattern characterized by higher levels in the east and lower levels in the west, with a trend of expansion from coastal to inland areas and diffusion from highly competitive cities to their surrounding regions. 2) While the interconnectedness of consumption competitiveness among the five urban agglomerations is gradually intensifying, the correlations within each agglomeration exhibit distinct characteristics. 3) Consumption competitiveness demonstrates spatial clustering and positive spatial correlation. Specifically, urban agglomerations such as Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta exert a positive spillover effect, whereas provincial capitals in the central and western regions exhibit a siphon effect. 4) The levels of financial development, government support, and digital industry progression are primary factors influencing the spatial disparities in consumption competitiveness, and the interaction between different factors shows an enhanced relationship.