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.

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.

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.

Based on the import and export data from the Guangdong-Hong Kong-Macao Greater Bay Area and countries along the Belt and Road Initiative from 2002 to 2019, this study utilizes the social network analysis to investigate the structural characteristics and influencing factors of their economic relationship networks. The research findings indicate that overall, the network density between the Guangdong-Hong Kong-Macao Greater Bay Area and countries along the Belt and Road Initiative has continuously increased, while hierarchical attributes have weakened, and the network structure has become increasingly stable. 2) The network centrality of the Guangdong-Hong Kong-Macao Greater Bay Area has consistently risen, with Guangdong and Hong Kong experiencing significantly greater increases than Macao. 3) Further empirical analysis of factors influencing network centrality among network members shows that economic size, trade openness, research and development investment, human capital, and financial development level have significant positive effects on network centrality. However, for the core layers comprising Guangdong and Hong Kong, economic size, trade openness, and research and development investment are the primary influencing factors on network centrality. Therefore, to promote economic linkage development between the Guangdong-Hong Kong-Macao Greater Bay Area and countries along the Belt and Road Initiative, the Guangdong-Hong Kong-Macao Greater Bay Area should further enhance its openness, facilitate free flow of factors, focus on technological research and development, and accelerate the construction of a market-oriented, internationalized, and rule-of-law business environment.

Based on the panel data of 82 countries from 2000 to 2020, this paper constructs an indicator system of inclusive green growth level, measures their inclusive green growth index (IGGI) using the fixed-base range entropy weighting method. It analyzes the temporal and spatial evolution and regional heterogeneity of IGGI, and evaluates its coupling coordination degrees. The results indicate that: 1) Inclusive green growth level increased in all 82 countries in 2000-2020. The average value of IGGI in each country rose from 0.226 in 2000 to 0.302 in 2020 with clear regional variations, which indicated a spatial distribution of "high in the west and low in the east". 2) From the perspective of spatial distribution, there is spatial correlation among IGGI of different countries, showing obvious high-high clustering and low-low clustering. The "high-high" cluster areas are mainly located in developed countries, and the "low-low" cluster areas are mainly located in countries with relatively backward development level. 3) In regard to regional variability, the level of inclusive green growth in high-income and high-level human development countries is significantly higher than that in low-income and low-level human development countries. In 2020, the average value of IGGI of high-income countries was 0.379, while the average value of IGGI of high-level human development countries was 0.328. The average value of IGGI of low-income countries was 0.229, the average value of IGGI of low-level human development countries was 0.251. 4) From the perspective of the sub-dimensional indices, the economic growth index (EGI) and the social equity index (SEI) of sub-dimension trends are generally on the rise, and the SEI is significantly higher than that of the IGGI, indicating a positive development trend. However, the trend of the environmental sustainability index (ESI) remains relatively stable and significantly lower than that of the IGGI, EGI and SEI, indicating poor development conditions and the need for improvement. 5) The results of the measurement indicate that the coupling degree and coupling coordination degree of the "economic-social-environmental" system remain at a low level. There is still an imbalance development phenomenon.

This paper empirically examines the effects and impacts of the "County-to-District Reforms" in provincial capitals on industrial structure upgrading by utilizing a quasi-natural experiment and applying a spatial difference-in-differences (DID) model. The results indicate the following: 1) The "County-to-District Reforms" in provincial capitals significantly promote their own industrial upgrading but exert a negative impact on the industrial upgrading of other prefecture-level cities within the same province. 2) The inhibitory effect of the "County-to-District Reforms" on the industrial upgrading of surrounding cities follows an inverted U-shaped trend, initially increasing and then decreasing with distance. Moreover, this inhibition effect is stronger under the multi-center layout pattern. 3) In the relatively less developed western regions, the "County-to-District Reforms" in provincial capitals have a more pronounced inhibitory effect on the industrial upgrading of surrounding prefecture-level cities. Additionally, higher administrative levels amplify this restraining effect. 4) Key channels through which the "County-to-District Reforms" affect the industrial upgrading of surrounding prefecture-level cities include factor crowding-out, investment competition, and weakened innovation capacity. The findings of this study provide theoretical insights for promoting regional coordinated development and sustainable development under new circumstances.

The study of human-land relationship has great urgency and realistic significance to our country. Based on the framework of human-land relationship, and the data of national land change survey and national census, this paper evaluates the coordination degree between urban construction land expansion and urban population growth in 337 cities at prefecture level and above from 2010 to 2020. The results show that: 1) From the perspective of spatial distribution, China's urban population continues to converge to the central node cities in the strategic pattern of "two horizontal and three vertical" urbanization, and mainly concentrates in the eastern area of Hu Huanyong Line. 2) Coordination between regional urban construction land and urban population in China is not strong, the speed of land urbanization is faster than the speed of population urbanization, and some cities show the phenomenon of "the reduction of population urbanization and the increase of land urbanization". 3) The expansion rate of urban construction land is much faster than the growth rate of urban population in urban agglomerations of Harbin-Changchun, the Central and Southern Liaoning, the Shandong Peninsula and the middle reaches of the Yangtze River. 4) The human-land relationship in the core cities of the metropolitan areas is more coordinated than that in the peripheral cities. The expansion rate of urban construction land in Wuhan metropolitan area is much faster than the growth rate of urban population。

The high-quality development is a key driver for the evolution of China's economy and society to a higher form. This paper constructs an evaluation index system for the high-quality development of the Central Plains Urban Agglomeration from five dimensions: innovation, coordination, green, openness, and sharing. It employs methods such as the CRITIC method, Kernel density estimation, Markov chain, and Geodetector to explore the spatial-temporal pattern and influencing factors of high-quality development across 29 prefecture-level cities in the Central Plains Urban Agglomeration from 2011 to 2021.The study finds that: 1) From 2011 to 2021, the Central Plains Urban Agglomeration has shown a significant upward trend in the level of high-quality development. Innovation and sharing dimensions show the characteristics of rapid development, while coordination, openness, and green dimensions show the characteristics of more slow development but have still increased positively. 2) The high-quality development of the Central Plains Urban Agglomeration demonstrates a positive trend, with most cities maintaining their current levels or shifting towards higher levels, and cities at higher levels exhibit significant stability and a "club convergence" phenomenon. 3) The five dimensions of high-quality development exhibit significant spatial development imbalances: high-value areas in the innovation dimension are dispersed in a point-like distribution, while high-value areas in the coordination, innovation, and sharing dimensions are concentrated in specific areas, with the core development areas and northern cross-regional collaborative development demonstration areas showing significantly higher levels than other areas. Meanwhile, the green dimension is gradually moving towards balance. 4) In terms of the social, economic, and policy factors affecting the high-quality development level of the Central Plains Urban Agglomeration, the main driving forces are ranked as follows from high to low: digital economy, financial conditions, capital investment, education level, human capital. These factors show significant differences in their driving effects across different dimensions. This study provides new theoretical and empirical support for the high-quality development of the Central Plains Urban Agglomeration, offering important references for the optimization of regional development strategies and policy formulation.

The digital economy is a new driving force for the high-quality development of China's economy, which will provide opportunities for the upgrading of urban industrial structure. Using standard deviation ellipse model, gravity center migration model and other methods, this paper examines the evolution characteristics of China's digital economy development and urban industrial structure upgrading based on the panel data of 304 cities at the prefecture-level and above in China from 2004 to 2021. It also applies the models of fixed effect and spatial econometrics to estimate the impact of digital economy on urban industrial structure upgrading. The findings indicate that: 1) China has achieved remarkable progress in digital economy development and urban industrial structure upgrading, both of which exhibit strong spatial dependence and agglomeration patterns, forming high-value spatial agglomeration areas such as the Bohai Rim, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing urban agglomeration. 2) There is significant regional variation in the impact of digital economy on urban industrial structure upgrading, the positive effect of digital economy in promoting the upgrading of their industrial structure is more significant in cities located in eastern region and the Yangtze River Economic Belt region and having higher levels of economic development and better industrial structure foundations. 3) Digital economy not only enhances the industrial structure upgrading of the local city, but also generates substantial spatial spillover effects on the industrial structure upgrading of neighboring cities.

Taking 122 counties in Hunan Province as an example, this paper builds an index system for residents' living consumption demand, and uses the Moore index to evaluate it. It uses GWR model to analyze the influence of 11 factors of fiscal expenditure structure and social economic structure on the life quality of residents, so as to deconstruct the influence mechanism of spatial differentiation. The results show that: 1) There is an obvious trend of stratification of the living consumption expenditure of residents in counties of Hunan Province, and the development security expenditure has become the dominant expenditure type of residents' consumption expenditure. At the same time, there are significant differences in the structure of residents’ consumption expenditure among counties, and the basic security expenditure in space decreases from the west of Hunan to the east of Hunan, while the development security expenditure decreases from the east of Hunan to the west of Hunan. 2) The life quality of residents in Hunan Province varies significantly, and the value range of the quality index evaluation is [0.295,6.611]. The characteristics of spatial agglomeration are obvious and show a trend of decreasing gradually from the east of Hunan to the west of Hunan. 3) Economic fiscal expenditure has the greatest ability to improve the life quality of residents in Hunan Province, and shows the strip-shape spatial distribution which decreases from the middle of Hunan to the east and the west of Hunan. The positive influence capacity of service fiscal expenditure, people's livelihood fiscal expenditure, human capital fiscal expenditure and maintenance fiscal expenditure decrease successively, and all show a trend of differentiated spatial mode change. The ability of economic development difference positively affects the life quality of residents in Hunan Province and shows the decreasing trend from the east of Hunan to the west of Hunan. The positive improvement ability of the differences in industrial structure, educational equity, employment level and market size decreases successively.

Based on the panel data from 231 prefecture-level cities in China, this paper uses the principal component analysis to construct urban inclusiveness index system from four perspectives: economic, social, cultural, and ecological. It also explores the effects of urban inclusiveness on regional wealth disparity from two perspectives: the willingness to pay for public services between skilled and unskilled migrant workers, and the entrepreneurial behavior of the migrant population. To verify the robustness of the study findings, this paper adopts the data of China Migrants Dynamic Survey to construct an urban inclusiveness index system from four dimensions: inclusive social security, livelihood-based social security, community public services, and urban attractiveness, and explores their effects on regional wealth disparity. The empirical estimation results show that: 1) A higher degree of urban inclusiveness is conducive to reducing the level of regional wealth disparity. 2) The analysis of heterogeneity reveals that the mitigating effect of urban inclusiveness on regional wealth disparity is more pronounced in large cities. 3) More inclusive cities can increase the willingness of skilled workers to pay, while unskilled workers remain insensitive to urban inclusiveness. 4) An increase in urban inclusiveness can significantly improve the entrepreneurial propensity of the migrant population. The empirical findings and policy recommendations of this paper point to the critical role of improved urban inclusiveness in reducing regional wealth disparity, and it is necessary for the government to take a series of measures to promote the improvement of urban inclusiveness level.

Based on the social, economic, and ecological environment data of 48 provincial-level regions along the China-Mongolia-Russia Economic Corridor in 2020, this paper establishes an evaluation index system of economic vulnerability, and analyzes its spatial characteristics and influencing factors using the methods of spatial analysis and geographical weighting model. The results show that: 1) Mongolia has a higher-level economic vulnerability, presenting a spatial distribution characteristic of increasing layer by layer with Ulaanbaatar and Darkhan-Uul Province as the two cores. Russia's economic vulnerability is the second, showing a spatial distribution characteristic of decreasing layer by layer outward with Moscow and the areas near Lake Baikal as the two cores. China has a low-level economic vulnerability, showing an increasing trend from the southwest of northeast China and Inner Mongolia to the northeast of northeast China and Inner Mongolia. 2) There are significant aggregation characteristics between exposure sensitivity and economic vulnerability, as well as adaptability and economic vulnerability in China-Mongolia-Russia Economic Corridor. 3) Government regulation, industrial structure, and resource investment have a significant impact on economic vulnerability. It is recommended to appropriately increase policy support for the construction of the China-Mongolia-Russia Economic Corridor, promote its industrial upgrading process, and improve the utilization rate of resource investment.

Based on the upstream and downstream supply flows between enterprises, this paper identifies the biomedical industry chain, and uses kernel density analysis, locational quotient method, OD analysis method to reveal the spatial pattern of the biomedical industry chain in Wuhan metropolitan area and explore its spatial organization model. The results show that: 1) The distribution of enterprises in each link of the biomedical industry chain based on site space presents diversified characteristics of core agglomeration, node agglomeration and axis agglomeration in Wuhan metropolitan area. 2) Based on the functional network, the correlation of enterprises in each link of the biomedical industry chain presents a complex pattern of local near-domain association, hierarchical radiation association, and long-distance association in Wuhan metropolitan area. There is a certain pattern of spatial correlation between enterprises in multiple links of the biomedical industry chain, which shows the characteristics of the short-distance migration of the core-near-domain from the front-end to the midstream link, the periphery-near-domain convergence reshoring from the upstream to the midstream link, and the near-domain-global two-way output from the midstream to the downstream link. 3) The biomedical industry chain in Wuhan metropolitan area follows the basic pattern of circle layout, including specific characteristics such as functional synergy, circle coordination, decreasing value-added capacity, and traffic series circle penetration.

Based on the panel data of Huaihai Economic Zone at county level from 2010 to 2020, this article analyzes the characteristics and evolution mechanism of network structure of industrial carbon emission in Huaihai Economic Zone using complex network analysis method. The results show that: 1) During the study period, industrial carbon emission in Huaihai Economic Zone exhibits a significant spatial correlation, with notable proximity features. The absorption effect of spatial network of industrial carbon emission surpasses its radiation effect. 2) The hierarchy of the network decreases, and shows the evolution trend of the pyramidal network hierarchy structure with Xuzhou as the core. The network type is heterogeneous network, and the high-level connections increase. The agglomeration of the network decreases, the agglomeration effect among the node counties decreases, and the overall network is scattered. 3) Spatial adjacency, level of economic development, industrial carbon emission intensity, technical level and level of opening to the outside world have significant effects on the formation of industrial carbon emission network. Therefore, optimizing the spatial network structure, formulating differentiated industrial emission reduction plans, and establishing regional collaborative emission reduction mechanisms are the main ways to promote the coordinated development of low-carbon and green industries in Huaihai Economic Zone.

Based on the panel data of 30 provincial-level regions from 2010 to 2021, this article uses the spatial Durbin model to test the direct effect and spatial spillover effect of transportation infrastructure on the urban-rural income gap, and the mediating effect model to further reveal the effect path of transportation infrastructure on the urban-rural income gap through industrial structure upgrading. The results show that: 1) The level of transportation infrastructure is increasing year by year, and the income gap between urban and rural areas is narrowing year by year, and both have a positive spatial correlation. 2) Transportation infrastructure has a significant impact on the urban-rural income gap, and its direct, indirect and total effects are significantly negative, which indicates that transportation infrastructure can promote the narrowing of the urban-rural income gap and has obvious spatial spillover effects on the surrounding areas. 3) The industrial structure upgrading has a partial mediating effect on the impact of transportation infrastructure on the urban-rural income gap, and its mediating effect accounts for 38.27%, which indicates that transportation infrastructure can play a role in narrowing the urban-rural income gap by improving the level of industrial structure. Therefore, in order to give full play to the effect of transportation infrastructure on narrowing the income gap between urban and rural areas, it is not only necessary to promote the upgrading of industrial structure, but also to strengthen the synergy and cooperation between neighboring regions.

Realizing effective connection of consolidating and expanding the achievements of poverty alleviation and rural vitalization urgently need to seek theoretical breakthroughs and systematic solutions, so as to adapt to the transforming trend of "cross-domain deployment of resources, remote and mutual flow of factors, and localized transformation of rural assets" in the context of the rapid urban-rural integration. Therefore, on the basis of summarizing the study progress of realizing the effective connection between the two and finding out the deficiencies of research on the "teleconnection" mechanism, this paper embeds the telecoupling theory into the research of realizing the effective connection between the two, and discusses the embedding logic, realization mechanism and key dimensions. The findings indicate the following: 1) From the perspective of telecoupling, realizing effective connection of the two is a logical closed loop composed of logical starting point, logical main line, logical fulcrum and logical destination. Among them, the logical starting point is to make up for the "differentials" of various factor flows in the urban-rural territorial system, the logical main line is to effectively solve the "lack of rural endogenous dynamics", the logical fulcrum is the ever-growing remote network in many fields such as education, industry and ecology, and the logical destination is to build a long-term mechanism for rural revitalization and urban-rural integration. 2) There are mainly two mechanism forms for telecoupling to promote the realization the effective connection between the two. One is the horizontal spatial coupling with the territorial unit as the system carrier, and the other is the long-term coupling with the vertical temporal dimension taking poverty alleviation and rural revitalization strategy as the system carrier. 3) By continuously strengthening the function mechanism of the key dimensions such as "distance education blocking the intergenerational transmission of poverty", "population mobility promoting the endogenous power of poverty alleviation subjects", "ecological compensation maintaining development equity", and "industrial remote collaboration empowering long-term development", it is expected to provide a theoretical reference for solving the issues relating to agriculture, rural areas and farmers in the new era.

It is of great theoretical and practical significance to clarify the spatial pattern of agricultural distribution in the main grain producing areas and promote the differentiated agricultural development based on the regional characteristics. Based on the relevant data of agricultural development of county unit in main grain producing areas from 2012 to 2021, this paper explores zones and differentiated development paths of main grain producing areas of China from the perspective of efficiency and fairness. The results show that：1) The core area of agricultural development in the main grain producing areas is located in about 1126 counties surrounded by the standard deviation ellipses of land resource endowment, production technology input and commodity grain supply capacity. Its center is located in the triangle zone formed by Nanle County, Puyang City, Henan Province. 2) The spatial pattern of its agricultural development market has circle characteristics. 50% circle cities with the strongest spatial proximity are gathered in O-shaped structure areas surrounded by Huoqiu County, Lu'an City, Anhui Province. 3) The axis of China's agricultural development and agricultural population network is distributed in a "northeast-southwest" direction, and have a "spindle" separation zone with the end point of Guangyang District, Langfang City, Hebei Province. The agricultural development of the main grain producing areas is divided into three categories and five regions: optimal/suboptimal efficiency development area, the optimal/suboptimal fairness development area, and the optimal balance development area. 4) The efficiency development zone, the fair development zone and the balanced development zone respectively promote agricultural development with modern factor input such as mechanization, industrial chain extension and traditional factor input such as labor force. Relying on multiple channels such as transportation network and agricultural economic connection, the county can realize the coordinated development of agriculture.

Building resilient territorial space is a new idea to improve regional ecological risk management. Therefore, how to improve the ecological resilience of territorial space from the aspects of absorption, recovery or conversion capacity is a key issue that needs to be solved in the management of ecological risks of territorial space. This study sorted out the connotation and evaluation methods of territory space ecological resilience, and summarized its theoretical framework, measurement model, and research needs. It was indicated that different subjects had different focuses on the study of spatial ecological resilience of the national territory, the discipline of geographical science focused on the research of ecological resilience at the regional scale, emphasized on the coupling with society-nature, while the discipline of ecology payed more attention to the assessment of homeostatic changes of the ecosystem itself. Domestic studies focused on the three dimensions of resistance, resilience and adaptability to measure ecological resilience. Foreign studies, on the other hand, focused more on urban construction and disaster prevention and mitigation from the perspective of resilience. Based on the above, it proposed three key research directions of ecological resilience in territorial space: 1) A new breakthrough of dynamic measurement of ecological resilience is proposed based on mechanism analysis. 2) Guided by the coupling of society-nature, it should promote the multi-factor, multi-level and multi-objective mechanism research. 3) Guided by ecological restoration, it should strengthen multidisciplinary integration and explore the application model of ecological resilience in territorial space, so as to provide a new way for realizing the modernization of harmonious coexistence between man and nature.

Clarifying the spatio-temporal pattern evolution and impact mechanism of agricultural eco-efficiency has important theoretical and practical significance for promoting the high-quality development of agriculture and implementing rural revitalization strategies. Taking Henan Province as the research area, this paper uses the Super-SBM model, Natural Breaks method, and cold-hot spots analysis to analyze the agricultural eco-efficiency at county level from 2010 to 2022. Furthermore, it explores the spatiotemporal heterogeneity of agricultural eco-efficiency in Henan Province by the GD and GWR models. The conclusions are as follows: 1) The agricultural eco-efficiency showed the fluctuated and decreased characteristics in Henan Province from 2010 to 2022. Moreover, the efficiency difference in different counties showed a steady upward trend, and the efficiency difference in northern Henan was significantly greater than that in southern Henan. 2) The high-value areas of agricultural eco-efficiency in Henan Province were Qi County, Neihuang County and Puyang County, while the low-value areas showed the distribution of basal pattern. The Moran index fluctuates and increases with spatial heterogeneity and agglomeration characteristics coexisting. The hot spot areas, with Anyang as the core area, gradually extended southward, while the cold spot areas were distributed near Dengfeng City in a first shrinking and then expanding pattern. 3) The dominant factors of agricultural eco-efficiency are technology investment, planting structure and irrigation index, the interaction between factors is significantly greater than the explanatory power of a single factor. Meanwhile, there is significant spatial heterogeneity in the direction and intensity of the main driving factors on the spatial pattern change of agricultural eco-efficiency. The regression coefficient of technology investment is positive and negative, and there is a significant positive correlation between planting structure, industrial structure, urbanization process and the spatial pattern of agricultural eco-efficiency, but the degree of population aging and irrigation index both have mainly negative feedback effects.

Taking 214 districts and counties in the Qinghai-Xizang Plateau from 2011 to 2023 as the research object, this article uses the methods of GIS spatio-temporal analysis, Dagum Gini coefficient, and spatio-temporal geographical weighted regression model (GTWR) to depict the spatio-temporal changes and spatial non-equilibrium of vegetation index in the Qinghai-Xizang Plateau, and explore the influencing factors of the vegetation index in the Qinghai-Xizang Plateau. It’s found that: 1) In terms of temporal evolution, the vegetation index on the Qinghai-Xizang Plateau showed an upward trend during the research period, and the vegetation indices increased in all provincial-level regions. The vegetation index in Yunnan, Sichuan, and Gansu was higher than the average, while the vegetation index in Qinghai, Xizang, and Xinjiang was lower than the average. 2) In terms of spatial distribution, the vegetation index in the Qinghai-Xizang Plateau showed a gradient decrease from the west of the Qinghai-Xizang Plateau to the east of the Qinghai-Xizang Plateau. The low-low agglomeration of the vegetation index in the Qinghai-Xizang Plateau was distributed in the northwest of the Qinghai-Xizang Plateau, and the high-high agglomeration was mainly distributed in the southeast of the Qinghai-Xizang Plateau. The intra-regional imbalance of the vegetation index in the Qinghai-Xizang Plateau was stable and had spatial differentiation characteristics. The degree of intra-regional differentiation in Xizang showed an expanding trend. Inter-regional differences were the main source of the spatial differentiation of the vegetation index in the Qinghai-Xizang Plateau, followed by intra-regional differences, and the contribution rate of the hypervariable density spatial differentiation was the smallest. 3) In terms of influencing factors, meteorological factors such as temperature, precipitation, and sunshine duration, as well as the actual evaporation amount and slope, played a promoting role in the vegetation index in the Qinghai-Xizang Plateau. However, elevation, soil root moisture, and population density had an inhibitory effect on the vegetation index in the Qinghai-Xizang Plateau.

As China continues to promote the strategy of expanding high-level opening-up, the border regions, as the "frontline of opening-up", need to stimulate the vitality of border tourism resources as a necessary measure to revitalize the border economy. This article takes China's territorial border counties as the study area. Based on the definition of the connotation of border tourism resource vitality and the multi-source data, it employs the methods of standard deviation ellipses,spatial mismatch indices,and multi-scale geographically weighted regression to explore the spatial characteristics, spatial mismatch patterns, and influencing factors of border tourism resource vitality and tourism resources in China's territorial border counties in 2023. The results show that: 1) It has stronger tourism resource vitality in the western border regions and higher level of tourism resources in the northeastern border regions. Border counties with positive mismatches between tourism resource vitality and tourism resources are mainly distributed in the Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region, Yunnan Province, and Guangxi Zhuang Autonomous Region. 2) Geopolitical environment, regional policies, economic level, transportation infrastructure, and online attention have significant spatial differentiation on the vitality of border counties' tourism resources and the mismatch of tourism resources. 3) Regional policies, economic level, and transportation infrastructure have a large impact on the spatial mismatch of tourism resources and vitality of border tourism resources.

This study establishes a dual-scale evaluation system for the high-quality development of marine tourism at both the provincial and municipal levels. Utilizing the BP neural network model and kernel density estimation, it comprehensively measures the high-quality development level of marine tourism in 11 provincial-level regions and 56 coastal cities in China from 2011 to 2022. It systematically compares and analyzes the spatio-temporal differentiation patterns across both provincial and municipal scales. Based on the institutional logic theory of "government-technology-market", it employs dynamic Qualitative Comparative Analysis (QCA) to identify differentiated development pathways at both scales. The findings indicate that: 1) In terms of temporal evolution, it exhibits fluctuating and phased characteristics at provincial level, and demonstrate an overall positive development trend at municipal level. 2) In terms of type structure and spatial differentiation, it displays a spindle-shaped structure with "low-lower-high-higher" levels, expanding inwardly and contracting outwardly, accompanied by significant maritime differentiation that transitions from "multiple points of development" to "north-south differentiation" at provincial level. It exhibits a pyramid structure with "low-lower-high-higher" levels decreasing gradually from bottom to top, highlighting the agglomeration effect of urban agglomerations at municipal level. 3) In terms of development pathways, it is driven by the synergy of technology and market at provincial level, and driven by the multifaceted interplay among government, technology, and market at municipal level. The research conclusions provide theoretical support for systematically evaluating the dimensions and logical relationships of high-quality development of marine tourism across both provincial and municipal scales, offering pathway guidance and decision-making basis for promoting the high-quality development of marine tourism in China.

It is of great practical significance to explore the influence mechanism of sports culture tourism consumption behavior in net-popular tourism destinations to promote the inheritance and innovation of ethnic culture, boost "rural revitalization" and enhance residents' happiness. Based on the stimulus-organism-response (SOR) theory and the theory of planned behavior, this paper constructs an influence mechanism model of sports cultural tourism consumption behavior of Village Basketball Game and Village Super League in Guizhou, which takes sports values, place attachment, and media communication as independent variables, attitudes, subjective norms, and perceived behavioral control as mediating variables, and tourism intention and tourism behavior as dependent variables. It uses the structural equation model to test the research hypotheses. The results indicate that: 1) The average value of tourists' intentions and behaviors towards sports cultural tourism consumption are 4.48 and 4.58 respectively, both showing a positive tendency. 2) Place attachment and media communication have significant positive impacts on potential tourists' attitudes, subjective norms, and perceived behavioral control. These factors indirectly influence tourists' intentions towards sports cultural tourism through perceived behavioral control, leading to the actualization of such behaviors. 3) Potential tourists' subjective norms and perceived behavioral control significantly positively influence their intentions towards sports cultural tourism, which in turn influences their sports cultural tourism behavior. Research suggests that the consumption behaviors of sports cultural tourism in the Village Basketball Game and Village Super League of Guizhou are primarily driven by "assembling for the media" and "coming for the destination, " rather than "gathering for the competition". The rural events serve as a platform for local cultural performances and exchanges.

As a type of linear space, corridor tourism resources are abundant and exhibit unique spatial distribution characteristics. Taking the Lingnan Ethnic Characteristic Cultural and Tourism Corridor as an example, this study comprehensively employs the motif analysis and the exponential random graph model to identify the spatial network structure and its formation mechanism of corridor-type tourist destinations. It's found that: 1) The spatial network of corridor-type tourist destinations presents a decentralized "core-periphery" structure, with more accessible connections between core nodes driving the development of periphery nodes. 2) Differentiated substructures exist within the spatial network of corridor-type tourist destinations, and closer connections between these substructures can enhance their collaborative effect. 3) The spatial network of corridor-type tourist destinations shows evolution patterns of mutual development, indirect connectivity, and triangular transmission. The fundamental units in this network serve as an endogenous emergent mechanism for shaping the spatial network. 4) The formation of the spatial network structure is ultimately influenced by a combination of "endogenous networks-actor attributes-external characteristics".

Provincial-level policies are the core basis for local participation in the construction and protection of the Yellow River National Cultural Park. This article comprehensively employs the methods of text mining, social network analysis, and PMC index evaluation to conduct structural analysis and model construction evaluation of the provincial-level policy texts of the nine provincial-level regions along the Yellow River from October 2020 to December 2023. It's found that: 1) The policy subjects involve the hierarchical linkage and the regional cooperation. The vertical intergovernmental cooperation between the central and local governments is good, but it still needs to improve the in-depth, regular intergovernmental coordination and cooperation organizational mechanisms across administrative regions and departments. 2) The policy themes mainly focus on the revitalization and inheritance of intangible cultural heritage, heritage protection and research, cultural tourism investment and development, and cross-domain coordination, etc. It should pay more attention to the park system, management and operation, social participation, digital technology, and educational functions. 3) The overall policy evaluation is positive, but it needs to be improveed in terms of policy audience, theme content, policy tools, and incentive strategies. Based on the above, this article proposes some countermeasures and suggestions such as establishing a long-term and stable central-local coordination organization mechanism in the future, adhering to cultural leadership and advocating multi-party participation, improving the supervision system and optimizing policy tools.