This article focuses on five core issues of new urbanization under the background of Chinese path to modernization for in-depth discussion: enhancing the modernization quality of new urbanization, the development mode and planning-construction-governance level of megacities and super-large cities, the integration of urban and rural areas and ecological environment problems, promoting the urbanization of migrant workers, exploring a new-type urbanization path that suits China's national conditions. Under the background of Chinese path to modernization, this article puts forward five suggestions: 1) It should continuously promote people-centered urbanization, focuse on optimizing public service supply and build livable, resilient and smart cities. 2) It should coordinate regional development, optimize the spatial layout of towns, and build a new pattern of coordinated development of large, medium and small cities relying on urban agglomerations and metropolitan areas. 3) It should promote the integrated and coordinated development of urban and rural areas, facilitate the two-way flow of elements and resource sharing between urban and rural areas, and promote the integration of urban and rural industries, infrastructure connectivity, and equalization of basic public services. 4) It should vigorously promote the innovation-driven development strategy and accelerate the construction of innovative cities. 5) It should follow a sustainable development path of healthy urbanization that suits China's national conditions, focus on ecological protection, and achieve the comprehensive green transformation and development of urban economy and society.

Employing China's contemporary spatial classification system of urban-agricultural-ecological (UAE) spaces as a unified spatial benchmark, this paper quantitatively analyzed the spatial transformation of Europe's UAE spaces from 2002 to 2022 based on the multi-source temporal data. It constructs the spatial conflict model of the UAE using landscape pattern indices, simulates and predicts the future conflict evolution trends of Europe's UAE spaces on the basis of identifying the key driving factors. The findings indicate that: 1) Europe's urban space continues to experience extensive global expansion, with significant dynamic interplays between agricultural and ecological spaces. Notably, profound spatial restructuring of agroforestry patterns is forming a pronounced dynamic transitional cluster between latitudes 50°N and 60°N. 2) Spatial conflicts within Europe's UAE spaces show a distinct spatial differentiation pattern, characterized by lower intensity in the north and south of Europe and higher intensity in central Europe, displaying typical cyclical and temporal fluctuations. The sensitivity to temporal resolution in transformation processes varies regionally, with naturally dominated areas exhibiting smoother transitions than urbanized areas. 3) Natural geographic fundamentals and hydrological conditions predominantly drive the spatial transformation and conflict evolution within Europe's UAE spaces. Non-anthropogenic factors, including atmospheric vapor pressure, precipitation, temperature, slope, and latitude, are progressively reshaping the conflict patterns at a global scale, exerting an increasingly significant influence over extended temporal horizons. 4) In the future, the overall conflict level in Europe's UAE spaces is likely to enter an upward cycle. Areas of intense conflict in central Europe are projected to expand gradually towards the Eastern European Plain, potentially forming an extensive high-conflict zone. For future spatial transformation management in China, it is critical to emphasize the dynamic impacts of climatic and hydrological changes on national space, enhance scientific identification and flexible management strategies for climate-sensitive regions in spatial planning, and promptly delineate the periodic evolution patterns of UAE spatial transformation and associated conflicts at a global scale.

This paper constructs a triple-engine coupling coordination mechanism model of new quality productive forces from three dimensions: revolutionary breakthroughs in science and technology, deep industrial transformation and upgrading, and innovative allocation of production factors. Using the game theory combined weighting method to calculate optimal weights of three dimensions, this study employs the simulated annealing to optimize the projection pursuit evaluation model and the coupling coordination degree model to measure and analyze the development level and triple-engine coupling coordination of new quality productive forces in the Yellow River Basin. The research results show that: 1) The level of data factorization, the number of artificial intelligence patents, and the penetration rate of industrial robots are key driving forces for enhancing new quality productive forces. 2) The overall new quality productive forces in the Yellow River Basin shows an upward trend, but it shows significant regional development imbalances and forms a three-tier gradient distribution pattern led by Shandong Province. 3) The synergistic effect of the "triple engines" is gradually strengthening, reflecting the coordinated development of revolutionary breakthroughs in science and technology, deep industrial transformation and upgrading, and innovative allocation of production factors, though regional disparities are evident. Finally, this paper proposes countermeasures to promote the high-quality development of new quality productive forces and regional coordinated development in the Yellow River Basin.

Exploring the adaptive cycle evolution and driving mechanism of the land-sea economic composite system is of great theoretical significance for realizing high-quality economic development in coastal areas. This paper constructs the adaptive cycle research framework of the land-sea economic composite system, identifies its adaptive cycle stage in China's coastal areas from 2007 to 2021, and explores the driving mechanism of its spatial differentiation with the help of geographic detectors. The results show that: 1)From 2007 to 2021, the adaptability of China's land-sea economic composite system has gone through the stages of release-restructuring-release, exploitation, and release-restructuring. 2) Three dimensions of the adaptive cycle of the land-sea economic composite system shows significant differences in terms of spatial evolution. Regions with high-level potential are concentrated in Guangdong and Shandong, regions with high-level correlation are clustered toward the Yangtze River Delta and the Pearl River Delta. The spatial pattern of resilience degree shows a differentiation tendency, which is low in the north of China's coastal areas and high in the south of China's coastal areas. 3) During the study period, except Fujian and Jiangsu were always in the exploitation stage and Guangxi was always in the restructuring stage, the other regions were in the exploitation, conservation and restructuring stages, and no regions were in the release stage. 4) The spatial differentiation of the adaptive evolution of the land-sea economic composite system in coastal areas is the result of multiple factors. The spatial association mechanism, ecological orientation mechanism, government regulation mechanism and endogenous dynamic upgrading mechanism are the main driving mechanisms of the adaptive evolution of the land-sea economic composite system.

Based on the directional distance function, this article conducts a unified analysis of pollution reduction, carbon reduction, and economic growth, and proposes a potential-tendency analysis framework. It analyzes the potential and tendency of pollution reduction, carbon reduction and economic growth in 282 prefecture-level and above cities of China from 2006 to 2021 using the methods of the data envelopment analysis and the two-way fixed effect model. It's found that: 1) The overall potential of pollution reduction, carbon reduction and economic growth continues to decline, with the largest decline in eastern region, followed by the central and western regions, indicating an improvement in the level of pollution reduction, carbon reduction, and economic growth. 2) Economic development level, industrial structure, urbanization level, human capital, fiscal expenditure, foreign direct investment, and local economic growth pressure all have an impact on the potential of pollution reduction, carbon reduction and economic growth. 3) The overall tendency of of pollution reduction, carbon reduction, and economic growth has shifted from the tendency of economic growth to the tendency of pollution reduction and the tendency of carbon reduction, while the tendency of pollution reduction is greater than the tendency of carbon reduction. It tends to focus on the pollution reduction in eastern and central regions, the pollution reduction and the economic growth in western region. 4) Based on the tendency results, it divides 282 prefecture-level and above cities of China into six types of tendency zones, analyzes the positioning and policy orientation of tendency zones within the framework of main functional zones.

This study employs network analysis and the raster cost-distance method to systematically evaluate the spatial evolution pattern of comprehensive transportation accessibility in Xinjiang from 2004 to 2022, examining it from both global and local perspectives. The research results show that:1) The level of comprehensive transportation accessibility in Xinjiang exhibits pronounced spatial disparities, with an overall spatial distribution pattern characterized by "Northern Xinjiang > Eastern Xinjiang > Southern Xinjiang". The areas of high accessibility form an irregular annular distribution that expands outward from Urumqi City as the central point, clearly delineating a "core-periphery" structure. 2) The rate of change in accessibility over time and space varies significantly across different stages. From 2004 to 2010, and from 2016 to 2022, the rate of change in accessibility in Southern Xinjiang was generally higher than that in Northern Xinjiang. Between 2010 and 2016, there was a marked increase in the rate of change in accessibility in Eastern Xinjiang. 3)The temporal and spatial convergence effects of transportation networks across various counties and cities in Xinjiang are significant. Counties and cities with high levels of accessibility have undergone an evolutionary process from a "nodal polarized" structure to a "radial axis" pattern, and finally to a "nodal-axis interconnected" annular structure. 4)The spatial clustering characteristics of comprehensive transportation accessibility levels among counties and cities in Xinjiang are increasingly pronounced, with a clear manifestation of spatial proximity effects.

Developing the new quality productive forces is a crucial choice to promote high-quality development, and is the only way to advance for Chinese path to modernization. Based on a profound interpretation of the connotation of the new quality productive forces, this paper constructs a multi-dimensional evaluation index system at the municipal level, and depicts the development process and spatio-temporal characteristics of the new quality productive forces in 278 prefecture level and above cities in China from 2011 to 2021. The study shows that: 1) The level of the new quality productive forces at the municipal level in China presents a steady upward trend, showing a spatial pattern of "high in the east, flat in the middle and low in the west" and an evolution trend of "fast in the south and slow in the north"; 2) The level of the new quality productive forces at the municipal level in China can be divided into five levels from high to low: leading, breakthrough, growth, development, and weak. The spatial distribution of each level presents a significant "center-periphery" pattern; 3) The regional differences in the level of the new quality productive forces at the municipal level in China gradually decrease over time, with the largest intraregional differences in eastern cities and the largest interregional differences between the eastern and northeastern cities; 4) The level of the new quality productive forces has a significant spatial correlation, with a relatively stable spatial distribution of "higher in the eastern of China and lower in the western of China". Areas with the higher value move from the north of China to the south of China, areas with lower value expands towards the north of China; 5) The spread effects of the level of the new quality productive forces at the municipal level in China is generally greater than the backwash effects, and high-level neighborhoods have a significant promoting effect on the development of the new quality productive forces in the local area.

Based on the fifth, sixth, and seventh national population censuses, this study delves into the scale, sectoral distribution, and spatial characteristics of urban informal employment in China, as well as its influencing factors. The results show that: 1) In 2000-2020, the number of urban informal employment in China has been continuously expanding, increasing from 116 million to 248 million, urban informal employees tends to do service work, particularly in consumer-oriented services. 2) The spatial distribution pattern of urban informal employment in prefecture-level cities is related to the level of regional economic development, the urban informal employment is mainly distributed in the southeast coastal and inland areas, and the central and peripheral cities. The scale and proportion of the urban informal employment in the central and western regions continuing to increase. 3) Market size, migrant populations rate, urbanization rate, and education level are primary determinants of urban informal employment, and the influence of public investment has strengthened over time. All factors show significant spatial heterogeneity in the impact of various factors. Finally, this article proposes countermeasures and suggestions from several aspects: strengthening labor legal protection, reforming the household registration system, bolstering educational support, attracting high-quality foreign capital, and refining local government practices.

Industrial chain resilience serves as a pivotal metric for gauging the economic transformation adaptability of resource-based cities. Measuring and enhancing the resilience of the industrial chain emerges as a crucial strategy to effectively drive the economic transformation and foster the high-quality development of resource-based cities. Based on the data of 114 resource-based cities in China from 2005 to 2022, this paper establishes a comprehensive evaluation index system for assessing the industrial chain resilience of resource-based cities from the aspects of five dimensions: resistance ability, resilience ability, evolution ability, leadership ability, and sustainability ability. It uses the entropy method to quantify the resilience level of industrial chain and the Dagum Gini coefficient to explore the regional differences and sources of industrial chain resilience in different types of resource-based cities. It's found that: 1) The resilience level of industrial chain in resource-based cities has improved, but the process is slow and the overall level is low. 2) The development of the industrial chain resilience level in resource-based cities across the four major regions is unbalanced. From 2005 to 2018, the ranking was "eastern region > central region > northeastern region > western region". However, after 2019, the pattern shifted to "eastern region > central region > northeastern region = western region", with the gap between the eastern and central regions widening. Regional disparities remain the primary source of inequality in industrial chain resilience. 3) The resilience level of industrial chain in renewable resource-based cities is significantly higher than that of other cities, and the gap is constantly widening. 4) From the perspective of spatial pattern, the resilience level of industrial chain in resource-based cities has not shown significant spatial agglomeration, the driving effect of central cities on the industrial chain resilience in surrounding areas is not obvious. Based on the above, it is recommended to improve the industrial chain resilience of resource-based cities by optimizing the industrial structure, strengthening technological innovation, and promoting green development.

The accessibility and service capacity of medical facilities are crucial for ensuring the health of residents. Under the background of the impetus of the system of tiered diagnosis and treatment and Healthy China, this study analyzes the accessibility of medical service facilities at different levels in the Qinghai-Xizang Plateau in 2000, 2010, and 2020. It explores the spatial-temporal dynamics of integrated healthcare accessibility at the township scale, with consideration of service utilization probability, analyzes its spatial heterogeneity in correlation with population distribution, and identifies the determinants affecting these patterns. The results show that: 1) From 2000 to 2020, there has been a significant improvement in the accessibility to medical treatment in the Qinghai-Xizang Plateau, the short-term accessibility coverage area gradually expands and showing an inverse correlation with hospital tier levels. The coverage area and population proportion of the isochrone circles (≤1 h) for primary-, secondary-, and tertiary-level hospitals are gradually increasing. 2) Taking into account the comprehensive accessibility of medical facilities with the probability of medical treatment, the coverage area and population proportion of the isochrone circles (≤ 1 hour and > 10 hours) are smaller than that of the comprehensive accessibility considering only the time cost. 3) The supply and demand relationship of comprehensive medical accessibility at the township scale has significant regional differentiation characteristics. Among them, the number of townships with high-high agglomeration has decreased, mainly transforming into a low-high type. The number of low-high type and low-low type of townships shows an increasing trend. 4) The density of hospital locations is the main influencing factor for the comprehensive accessibility of medical facilities at the township level, follow by altitude, road network density. GDP and population density also have a certain impact.

This study investigates China's lithium battery industry using enterprise and patent data from 2000 to 2022, employing spatial coupling analysis and the spatial Durbin model to examine the spatiotemporal evolution, coupling relationships, and innovation drivers of industry and innovation chains across 297 Chinese cities. The findings reveal that: 1) In terms of spatial distribution, upstream lithium battery production concentrates in western regions driven by resource endowments, while innovation clusters in urban agglomerations such as Beijing-Tianjin-Hebei and the Yangtze River Delta, indicating spatial decoupling. Meanwhile, midstream and downstream production and innovation activities are predominantly distributed across eastern coastal cities with robust industrial foundations (e.g., Guangdong, Jiangsu, Zhejiang, Shandong), with a discernible diffusion trend toward central and western regions. 2) In terms of industry-innovation coupling, a pattern of "macro-scale synergy with micro-scale divergence" emerges. At the macro scale, the spatial distance between lithium battery industrial centers and innovation cores progressively narrows, significantly enhancing spatial coupling. At the city level, divergent resource endowments and foundational disparities drive widespread integration challenges, manifested as "production-R&D imbalance", "technological isolation", and "industrial chain fragmentation". 3) In terms of influencing mechanisms, six factors drive the innovative development of China's lithium battery industry: industrial agglomeration intensity, related industrial foundations, government support intensity, economic conditions, openness level, and science-technology innovation ecosystems. The effect strength of these factors exhibits significant heterogeneity. Their synergistic interactions shape four distinct innovation development models: talent and technology-driven, leading enterprise-driven, policy and resource-driven, and cluster-based collaborative innovation. These findings provide empirical evidence and policy references for optimizing industrial layouts and advancing innovation-oriented development.

This study examines the impact mechanisms of industrial policies' incentive and constraint effects on industrial land use efficiency, based on industrial land use data from 2016 to 2021 and industrial policy textual analysis using the case of 96 districts and counties in Jiangsu Province. The findings reveal that: 1) The dual "incentive-constraint" mechanism of industrial policies has driven the transformation of industrial land use patterns in Jiangsu Province, resulting in an evolutionary characteristics of scale constraint and leapfrogging efficiency. Furthermore, the spatio-temporal pattern of industrial land efficiency evolution is accompanying with a converging trajectory of regional disparities. 2) Constraint policies is not only helpful to mitigate negative externalities caused by incentive policies, but also indirectly enhance industrial land efficiency in developing regions. 3) The synergistic interaction between incentive and constraint policies stimulates industrial restructuring and changes land use structure, improving industrial land efficiency. In sum, the evolution of industrial land efficiency is fundamentally shaped by the spatial adaptability of policy instruments. Local industrial activities guided by industrial policies have a significant influence on industrial land efficiency.

Based on 158197 micro enterprise point data extracted from Gaode Map from 2010 to 2023,using the applies game theory combination weighting method, coupling coordination degree model, and geographic detector,we investigate the spatiotemporal characteristics and driving factors of the coupling coordination between China's strategic emerging industry agglomeration and new quality productivity. The findings reveal three key insights: 1)From a temporal perspective, the coupling coordination degree exhibits a pattern of sustained improvement with intermittent corrections—characterized as a trend of "coordinated growth with periodic adjustment". Notably, the timing of the coupling coordination degree callback varies in different regions. 2)From a spatial perspective, the spatial differentiation characteristics of coupling coordination are obvious, and the coupling coordination degree is higher in the eastern region, such as Zhejiang, Jiangsu, and Guangdong have consistently remained in states of good or high-quality coordination. The coupling and coordination status of most central provinces has improved, while most provinces in the western region are locked in a state of severe and moderate imbalancee. 3)With regard to the driving factors, the differentiation of coupling coordination is closely related to factors such as economic foundation, policy environment, and location conditions. With the development of strategic emerging industries, the main influencing factors have shifted from early "economic foundation" factors to multiple drivers such as "innovation driven" and "demand driven". The growing influence of factors such as regional innovation capacity and social consumption levels further amplifies this transformation. The interplay of these multidimensional drivers contributes more to the spatial-temporal differentiation in coupling coordination. Therefore, we should promote the coordinated development of strategic emerging clusters and new quality productivity coupling from multiple aspects such as industrial synergy, policy support, and factor support based on regional differences.

With the rapid development of the global digital economy, data, as a new type of production factor, has seen increasing emphasis on its intellectual property protection and international cooperation. Based on complex network theory, this paper systematically analyzes the evolutionary trajectory of international data intellectual property cooperation from 2004 to 2023. Furthermore, a data patent cooperation network is constructed, and an improved Stochastic Actor-Oriented Model (SAOM) is employed to conduct a detailed analysis of the network's topological structure and spatial patterns, revealing the interaction mechanisms and evolutionary characteristics among different collaborative entities at various stages. The study finds that：1) The international data intellectual property cooperation network has evolved from a dominance by developed countries in Europe and America to a more globally diversified expansion, with emerging economies such as China and India gradually becoming key nodes. 2) Simulation analysis further uncovers the influence of structural characteristics, innovation capabilities, and the breadth of cooperation on the evolution of the international patent cooperation network, as well as trends in network evolution and changes in knowledge innovation performance. The conclusions provide a scientific basis for formulating international data intellectual property cooperation policies and offer insights for promoting high-quality development of the global digital economy.

In the context of comprehensively promoting the agricultural green transformation, based on China's provincial-level panel data from 2010 to 2022, this study explores the impact mechanism, path and spatial effect of agricultural socialization services on the agricultural green total factor productivity (AGTFP for short) using the EBM model and econometric model. The results show that: 1) AGTFP showed an overall improvement trend from 2010 to 2022 at the national and provincial levels. 2) Agricultural socialization services have significantly promoted the improvement of AGTFP. At the same time, it has regional heterogeneity that the promotion effect is more significant in eastern region, central region and major grain producing areas. 3) The agricultural socialization services will promote the improvement of AGTFP by promoting large-scale agricultural land management, specialized agricultural division of labor, and agricultural green technology level. 4) Agricultural socialization services have significant spatial positive spillover effects and can drive the improvement of AGTFP in local area and surrounding areas. Therefore, it is necessary to fully recognize the quality and efficiency of agricultural socialization services, improve the agricultural socialized service system, and comprehensively promote agricultural green transformation through agricultural land scale management, specialized division of labor, application of green elements and spatial spillover effect.

Based on the good ecological agricultural resources, the integration of agriculture and tourism can promote the agricultural technological progress, optimize the agricultural resource allocation, and drive the upgrading of the agricultural industrial structure, thereby enhancing the green total factor productivity of agriculture and promoting the green development of agriculture. This article applies the Super-SBM model with non-desired outputs to calculate the green total factor productivity of agriculture in 30 provincial-level regions of China from 2008 to 2022. It evaluates the level of integration between agriculture and tourism by the means of the entropy method, the factor analysis method, and the grey relational degree model. Based on the above, it uses the spatial Durbin model and threshold effect model to test the impact of the integration of agriculture and tourism on the green total factor productivity of agriculture. The results show that: 1) Both the agricultural green total factor productivity (AGTFP) and the integration level between agriculture and tourism (ILAT) have significant spatial agglomeration characteristics. The dynamic spatial Durbin model can better reveal the relationship between the two. 2) The integration of agriculture and tourism has a significant positive promoting effect on AGTFP, and this impact has spatial spillover effects. It has the strongest direct effect in central region, and has the most significant spillover effect in eastern region. 3) The impact of the integration of agriculture and tourism on AGTFP has a relatively prominent stage and economic dependence, showing typical nonlinear threshold characteristics. The impact of the integration of agriculture and tourism on AGTFP presents a double threshold characteristic as the integration level between agriculture and tourism increases. Additionally, as the regional economic level improves, this impact shows a single threshold characteristic. The research results provide policy implications for promoting the deep integration of agriculture and tourism to enhance AGTFP and promote the green development of agriculture.

Based on the panel data of 277 prefecture-level and above cities in China from 2007 to 2021, this paper uses the multi-period and spatial difference-in-differences (DID) models to empirically test the impact of the low-carbon city pilot on the allocation of industrial land. The results show that: 1) The low-carbon city pilot has a significant negative effect on both the industrial land transfer area and the proportion of land transfer area for enterprises with high energy consumption, high emissions, and high pollution, while it does not significantly affect the price of industrial land leases. 2) Due to the differences in the urban resource endowments and the environmental governance pressures of local governments, the impact of the low-carbon city pilot on industrial land allocation exhibits clear heterogeneous characteristics. 3) The pilot negatively impacts the industrial land lease area in economically and geographically adjacent cities. Additionally, there is a negative correlation between the pilot policy and industrial land lease prices, as well as the proportion of land transfer area for enterprises with high energy consumption, high emissions, and high pollution in adjacent cities. Consequently, it is advisable to fully utilize the positive impacts of the low-carbon city pilot to optimize industrial land resource allocation, tailor the policy framework according to local conditions, and promote green, low-carbon and coordinated development among pilot and neighboring cities.

Digital inclusive finance breaks through geographical financial constraints, lowers access barriers, and optimizes resource allocation, making it a key driver of rural industrial restructuring. This paper empirically examines its effects using provincial panel data (2011-2022) and a two-way fixed effects model. Key findings indicate:1)Digital inclusive finance and its three sub-dimensions—usage depth, coverage breadth, and digitization—all accelerate rural industrial restructuring, with usage depth having the strongest impact, followed by coverage breadth and digitization.2)A single-threshold effect exists: threshold regression analysis confirms significantly stronger restructuring effects in high-development regions than in low-development regions.3)It promotes capital-intensive agricultural technology investment and improves rural industrial efficiency, driving agricultural technological progress to empower industrial restructuring.Policy efforts should prioritize supply-demand matching and product innovation for rural digital finance, while enhancing agricultural technology innovation and adoption capabilities to advance rural industrial restructuring comprehensively.

As an emerging marketing channel, live-streaming e-commerce plays a vital role in promoting the sales and distribution of agricultural products. This paper selects Douyin, a representative live-streaming e-commerce platform, as a case study. Leveraging machine learning and data mining technologies, we collected 43,000 pieces of live-streaming e-commerce data and 867 observational samples. Using structural equation modeling (SEM), we comprehensively analyzed the influence mechanism of live-streaming e-commerce on agricultural product sales performance, considering multiple factors including anchor personal characteristics, anchor activity levels, livestream popularity, and livestore characteristics.The results indicate that: 1) Anchor personal characteristics, activity levels, and livestream popularity significantly enhance agricultural product sales performance. 2) Follower count exerts a significant positive effect on sales, and the aforementioned anchor and livestream characteristics further boost sales through the mediating effect of follower count. 3) The impact exhibits heterogeneity across different follower tiers. The influence of anchor personal characteristics grows stronger with larger follower bases. Furthermore, the effects of anchor activity, livestream popularity, and follower count may reverse (i.e., become negative) due to factors such as audience maturity, sensitivity to waiting times (e.g., delivery), and variations in consumption preferences.Finally, this paper proposes policy recommendations for the government, platforms, and anchors to optimize the live-streaming e-commerce model, boost agricultural product sales, and increase farmer income. These findings provide micro-level decision-making insights for comprehensively promoting rural revitalization.

The high-quality integrated development of culture and tourism embodies distinctive characteristics of new quality productive forces development, and is a pivotal component in advancing China's high-quality economic growth. It is imperative to advance research on the high-quality integrated development of culture and tourism in the new historical context. This article systematically examines the evolution of China's cultural-tourism nexus, elucidates theoretical foundations and implementation pathways, and constructs a three-dimensional theoretical system encompassing：the dialectical relationship between theoretical postulates and practical imperatives, conceptual framework development, and typological spectrum analysis. Future research should prioritize four interconnected domains：contextualization creation and stakeholder dynamics, endogenous growth mechanisms, operationalization strategies, and policy system. This study aims to establish a "typical case library" for the high-quality integrated development of culture and tourism, and continuously deepen the systematic research and theoretical interpretation of the high-quality integrated development of culture and tourism. It is of great significance for building an independent knowledge system for the development of culture and tourism in China.

This study explores the influencing mechanisms of new quality productive forces (NQPF) on regional tourism resilience (RTR) and empirically validates their micro-level interactive dynamics, which offers significant theoretical and practical contributions to advance high-quality tourism development. Based on the panel data of 31 provincial-level regions of China in 2012-2022, this study constructs a comprehensive evaluation index systems of NQPF and RTR. It uses the panel vector autoregressive (PVAR) model to verify the influencing mechanisms of new quality productive forces on regional tourism resilience, and the system dynamics model to investigate their micro-level dynamic interactions. It takes Gansu Province, a less-developed tourism region characterized by abundant tourism resources and insufficient tourism innovation, to conduct the scenario-based simulations of dynamic evolution pathways in 2023-2035. It's found that: 1) NQPF significantly enhances RTR, the misallocation of innovative elements inhibits the enabling effect of NQPF on the RTR. 2) NQPF promotes the development of RTR through industrial structure advancement and rationalization, with mediating effect proportions of 33.98% and 21.36%, respectively. 3) Under the ecological priority scenario, RTR of Gansu is in the best state, but the growth rate of NQPF is relatively sluggish. Under the collaborative development scenario, it demonstrates balanced progress in economic, technological, and ecological dimensions, NQPF and RTR both show a steady upward trend, but there are certain deficiencies in the driving force for RTR. These findings systematically clarify the relationship between NQPF and RTR, and provide theoretical and practical guidance for fostering RTR in the new development paradigm.

This paper takes 37 Tunpu traditional villages in Anshun City of Guizhou Province as the research object, and constructs the evaluation index system for the living state of tangible cultural landscape of Tunpu traditional villages in central Guizhou from three aspects of development foundation, development condition, and development potential. It evaluates and grades the living state of tangible cultural landscape, and further identifies the types of living state and the spatial distribution characteristics of tangible cultural landscape using the methods of comprehensive index, rank-sum ratio, dominance model and kernel density estimation. The results show that: 1) The average level of living state of tangible cultural landscape is on the stage of mild deactivation in Tunpu traditional villages, the number of Tunpu traditional villages which are on the stages of mild activation and activation is less than one third of the total. 2) The advantage of tangible cultural landscape's living state is development condition, while its disadvantage is development potential. 3) The tangible cultural landscape of Tunpu traditional villages differ in living state between Pingba District and Xixiu District, and the superior resources can be complementary between the districts. 4) The living state types of tangible cultural landscape exhibit distinct spatial clustering characteristics, which are concentrated around 4A-level tourist attractions and the provincial-level and prefecture-level tourism key villages and towns.

This article defines the connotation of the rural tourism industry from the perspective of industry classification. Based on the POI data points and using the methods of the average nearest neighbour index, kernel density estimation, hotspot analysis, and geographic detector, it analyzes the spatial distribution characteristics of the rural tourism industry in Hunan Province, and examines its influencing factors and underlying mechanisms. The results indicate that: 1) The rural tourism industry in Hunan Province exhibits an overall clustered distribution pattern, which is one pole with multiple cores, and multiple point-like aggregation zones. The core zone is centred around Changsha City, radiating outwards to Xiangtan and Zhuzhou. The rural tourism industry shows the spatial characteristic which is around cities, along roads, near scenic areas, and towards flatlands". 2) It has significant spatial distribution differences within the rural tourism industry. The type of leisure and resort exhibits the highest degree of clustering, with an NNI value of 0.256, and its core cluster area aligns with the overall core cluster area of the rural tourism industry. The types of agricultural experience, historical and cultural, and natural landscape all exhibit multi-core network distribution patterns with broader distribution ranges. Hotspots are primarily concentrated in Changsha and Zhangjiajie. 3) The spatial distribution of the rural tourism industry is jointly influenced by factors such as resource endowments, policy support, natural environment, economic level, source markets, and transportation conditions. Resource endowment is the dominant factor. The q value has the greatest explanatory power after the interaction between altitude and tourist attractions rated 3A and above, which is 0.246. Multiple factors jointly drive an interactive influence mechanism, which is dominated by resource endowment, guided by policy support, drived by natural environment and transportation conditions, and pulled by economic level and source market. Based on the research findings, it puts forward some policy recommendations to promote the high-quality development of Hunan Province's rural tourism industry.

Based on the collection data of Douyin users on tourist attractions of eastern China, this paper uses multi-distance spatial cluster analysis to analyze the spatial pattern of network attention of tourist attractions of eastern China with high attention of Douyin, uses spatial autocorrelation analysis to analyze its spatial differentiation pattern, and uses geographic detectors to explore its possible influencing factors. The research shows that: 1) The tourist attractions of eastern China with high network attention degree in Douyin are mostly distributed in coastal cities, and there are also significant differences in the number of tourist attractions with high network attention degree in Douyin among coastal cities. At the prefecture level, the network attention degree of tourist attractions of eastern China in Douyin shows an unbalanced distribution pattern, which is higher in the middle of eastern China and lower in both sides of eastern China. 2) Tourist attractions of eastern China with high-level network attention degree in Douyin show the agglomeration distribution pattern. 3) The network attention degree of tourist attractions of eastern China in Douyin shows a positive spatial correlation, and the degree of spatial agglomeration is relatively high. The spatial correlation pattern of network attention degree of tourist attractions of eastern China in Douyin basically corresponds to the differentiation pattern at the prefecture level. The high-value areas are mainly distributed in the central part of eastern China, while the medium and low-value areas are inlaid in the rest areas of eastern China. 4) The interactions of total passenger transport, the number of A-level scenic spots, permanent resident population and the number of mobile phone users at the end of the year have significant impact on the network attention degree of of tourist attractions in Douyin.