To explore the high-quality development level and spatiotemporal characteristics of China's airport economy, an evaluation index system was constructed based on the "airport-city-industry". Using data from 30 provinces in China, vertical and horizontal scatter degree approach was adopted to measure high-quality development index. Kernel density estimation, natural discontinuity grading, and Dagum Gini coefficient were employed to investigate the spatiotemporal evolution and regional differences. And exploring the influencing factors of the spatial differentiation by the means of the Geodetector. The results indicate that: 1) In the study period, the high-quality development of China's airport economy has shown a phased growth trend, with significant room for improvement. 2) The establishment of airport economy demonstration zones has intensified polarization, creating a "high in the east and low in the west" pattern and reducing regional balance. 3) The overall regional gap is more significant, showing a trend of narrowing, and the main reason for the regional gap is the gap between regions. 4)Infrastructure is the dominant influence on the spatial differentiation. Based on the above findings, efforts should be continued at this stage to promote the high-quality development of China's airport economy by optimizing the supporting infrastructure, maintaining regional differentiated management, and increasing government guidance and support.

The digital economy has emerged as a new driver of high-quality development. However, its heterogeneous development patterns may have conflicting effects on cross-regional labor migration, and the resulting spatial spillover effects may also vary widely. Using data from the China Migrants Dynamic Survey, we examined the effects of the digital economy and its disaggregated development pathways of digital industrialization and industrial digitization on the employment agglomeration of migrants from 2011 to 2018. The study employed a two-way fixed effects model and spatial econometric method. The main conclusions are: 1) There is a clear labor agglomeration effect in the development of regional digital economies. 2) The development path of digital economy can be divided into digital industrialization and industrial digitization, which have contradictory effects on the employment agglomeration of migrants. Digital industrialization has a positive effect on employment agglomeration, while industrial digitization leads to de-agglomeration of migrant employment. The dynamic estimation confirms a continuous effect of this result on employment agglomeration. 3) The digital economy and its different development paths have shown significant spatial spillovers, resulting in a geographical "center-periphery" pattern.

Digital infrastructure serves as the foundation for the development of the digital economy and acts as a cornerstone for building of the country's cyberspace strength and a digital China. Based on the the panel data of 282 cities in China from 2011 to 2021, this study analyzes the level and carbon reduction-efficiency enhancement effect of digital infrastructure using the GTWR, examines the impact of digital infrastructure development on the carbon reduction and efficiency enhancement from the perspective of theoretical economics, and explores the spatiotemporal evolution of digital infrastructure development. The research results indicate that: 1) The hotspots of digital infrastructure construction are mainly concentrated in the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin regions. The spatial agglomeration of digital infrastructure construction is gradually increasing in central and western regions, its gravity center shows a westward shift, which aligns with the national strategy of "East Data, West Computing". 2) Theoretically, digital infrastructure development has a positive impact on both carbon reduction and efficiency enhancement. It exhibits diminishing marginal returns after the carbon reduction reaches a relatively high level. 3) Digital infrastructure exhibits a strong carbon reduction effect, which shows a gradual increase over time and a narrowing spatial gap between regions. 4) The efficiency enhancement effect of digital infrastructure is significant and shows an overall upward trend, with widening spatial disparities between regions, presenting a pattern of higher efficiency in the south of China and lower in the north of China.

The construction of marine protected areas is an important initiative to balance marine economic development and marine environment protection. This paper takes marine green economic efficiency as an indicative index for balancing marine economic development and marine environment protection, and takes it as an explanatory variable, then takes marine protected area scale and marine conservation mode as core explanatory variables and moderating variables respectively, constructs panel data of 11 provincial areas along the coast, and includes a total of 263 marine protected areas, and in the time period of 1996-2020, the study finds that: 1) The average value of the national marine green economy efficiency is 0.635, with large inter-regional differences, and most provincial areas have large room for improvement. 2) The scale of marine protected areas and marine green economic efficiency show a robust inverted U-shaped correlation, and the threshold of marine protected area scale corresponding to the apex of the inverted U-shaped curve is 22.6%. 3) The strict conservation mode represented by the national marine nature reserves plays a significant moderating role in this inverted U-shaped correlation, driving the leftward shift of the threshold of the protected area scale and strengthening the influence of the marine protected area scale on the marine green economic efficiency. The above results suggest that in the process of balancing marine economic development and marine environment protection in coastal areas, marine protected areas should be moderately expanded and should not exceed their thresholds, and that the strict conservation mode matching a smaller marine protected area scale or the non-strict conservation mode matching a larger marine protected area scale would be the two alternative paths.

Basic public services such as education, medical care, pension and infrastructure are the main components of residents' public consumption, and eliminating regional differences can not only narrow the regional differences in residents' public consumption levels, but also an important way to improve residents' consumption power.This paper constructs the evaluation index system of basic public service supply level and resident demand in the Yangtze River Economic Belt, takes the Yangtze River Economic Belt as a sample, comprehensively uses the combination weighting method and ESDR index method to measure the matching degree of supply and demand of basic public services in the Yangtze River Economic Belt from 2010 to 2022, and uses kernel density estimation, cold and hot spot clustering, geographic detector and other methods to explore the spatiotemporal evolution characteristics and driving factors of the differences.The results show that: 1) During the study period, the demand index of basic public services in the Yangtze River Economic Belt remained relatively stable, and the gradient pattern of "upstream> middle > downstream" was spatially presented. The supply index showed a fluctuating upward trend, and the downstream was ahead of the upstream and midstream in space. 2) During the study period, the ESDR value of basic public service supply and demand matching was less than 0, but the index showed a fluctuating upward trend, and the supply surplus area was expanding significantly. The spatial relationship between supply and demand is dominated by LL-type spatial mismatch clusters, but the LH-type spatial mismatch area is increasing slightly. 3) The leading factors affecting the supply deficit area and the supply-demand balance area are topographic conditions, and the leading factors affecting the supply surplus area are fixed asset investment and government fiscal self-sufficiency rate. The explanatory power of the interaction between topographic relief and other factors in the supply deficit area and the supply-demand balance area is the highest, while the explanatory power of the interaction between the government fiscal self-sufficiency factor and other factors is the highest in the supply surplus area.The above conclusions prove that topographic conditions are an important factor leading to the regional differences in the matching level of supply and demand of basic public services in China, and the elimination of the matching differences between supply and demand of public services caused by topographic conditions is incorporated into the current transfer payment system, which can not only eliminate the difference in the supply capacity of basic public services, but also an important measure to boost residents' consumption and expand domestic demand.

The article uses the quantitative spatial model to analyze the impact of population aging on urbanization welfare and estimate the main influencing factors of urbanization welfare. Meanwhile, based on the macro data of 219 cities at all levels and above from 2000 to 2019, it analyzes the impact of population aging on urbanization welfare by using a fixed-effects model. The results show that: 1) The increasing population aging has seriously inhibited the improvement of urban residents' welfare in the central and eastern regions, and it has become a negative effect on the improvement of residents' welfare level in municipalities and provincial capitals with larger population bases. 2) Population aging has not been the main cause of urban comfort, and the negative effect of population aging on urban productivity has been offset by the improvement of human capital, and land-based urbanization has remained the main form of urbanization in China over the past 20 years. 3) The "economic" development bias of local governments is not friendly to the improvement of urban residents' welfare in an aging society.4) Although population ageing is a negative effect on the efficiency of non-welfare public service expenditures, it can promote the efficiency of welfare public service expenditures.

Taking Fenhe River Basin, a typical resource-intensive region, as the study region, this article constructs a conceptual framework and evaluation index system for county-level ecological efficiency from the perspective of high-quality development. By integrating methods such as the non-desired output SBM model, Kernel density estimation, exploratory spatial data analysis, obstacle degree model, and spatial Markov chain, the study analyzes the spatiotemporal evolution characteristics, main obstacle factors, and future development trends of county-level ecological efficiency in the Fenhe River Basin from 2000 to 2019. The results show that: 1) During the research period, the overall ecological efficiency of the basin showed a trend of fluctuating decline followed by a gradual increase, with the overall level remaining relatively low. The spatial distribution showed a gradient characteristic of upstream > midstream > downstream, with significant disparities in ecological efficiency among counties and the presence of multipolarity. 2) The spatial pattern of county-level ecological efficiency in the basin displayed a north-high and south-low characteristic, forming a "multi-core—edge" spatial structure, with significant differences between core and edge areas. From 2000 to 2009, the county-level ecological efficiency in the basin demonstrated significant global spatial autocorrelation, which tended to weaken after 2009. Local spatial autocorrelation was characterized by high-high clustering centered on Taiyuan City, low-low clustering centered on Wanrong County, and high-low clustering centered on Xiangning County. 3) Ecological environment, economic development level, industrial structure, and policy support were identified as the main factors constraining county-level ecological efficiency in the Fenhe River Basin. From the perspective of future evolution, the overall ecological efficiency of the counties in the basin is expected to show an upward trend, with a tendency to cluster towards higher value ranges.

This article uses Two-Way fixed effects models and GTWR models to explore the differences in the impact of intensive use of industrial land, residential land, and transportation land on urban carbon emissions in cities in the Yangtze River Delta urban agglomeration. The results show that during the research period, the improvement of intensive use of industrial land has a positive impact on urban carbon emissions. Although the local government continues to promote industrial green upgrading and transformation, it still cannot offset the carbon increasing effect of unit area land resources and energy consumption under the export-oriented economy of manufacturing. The improvement of intensive utilization of residential land has a significant effect on reducing urban carbon emissions. On the one hand, it is due to the transformation of green lifestyles brought about by the improvement of residents' living standards, and on the other hand, it is due to the reduction of energy loss caused by intensive living and the application of green and energy-saving buildings and management. The impact of intensive transportation land on carbon emissions has distinct characteristics, and overall it has a suppressive effect on carbon emissions. The increase in transportation intensity within some cities is manifested as a carbon increase effect.

The important strategic plan of the 20th Party Congress points out that high-quality development is the primary task, and vigorously promote the high-quality development of manufacturing industry to realize the modern industrial system. This paper constructs the evaluation system of high-quality development of manufacturing industry from six indicators, namely, economic efficiency, innovation strength, manufacturing efficiency, digital environment, low-carbon manufacturing, structural upgrading, and selects the data of China's Urban Statistical Yearbook from 2011 to 2020, and utilizes the spatial Durbin model to investigate the spatial effect of high-quality development of manufacturing industry driven by the digital economy. The study found that:1)the level of urban digital economy development has shown an upward trend year by year, but there are regional differences, with first-tier cities showing a stronger level of development;2)the level of high-quality development of the manufacturing industry in cities has basically shown an upward trend, and there are also regional differences between cities, but some cities are stronger than the first-tier cities in terms of the level of development;3)the development of the digital economy is favorable to promote the development of manufacturing industry of the local and surrounding cities High-quality development of the local and neighboring cities, and the digital economy on the local manufacturing industry to promote high-quality development is greater than the role of neighboring cities.4)there is heterogeneity in the spatial impact of the digital economy on the high-quality development of the manufacturing industry in cities in the East, Central and West, and in small, medium and large cities, due to differences in regions and city sizes, and the central cities and small cities do not have a significant impact on the promotion of neighboring cities. Implications of the study: nationwide digital economy construction and cross-regional digital economy cooperation should be comprehensively promoted to accelerate the effective integration of digital infrastructure, digital technology, digital elements and digital governance in the manufacturing sector, leading to the high-quality development of smart manufacturing.

Based on the POI data of human settlement facilities in Yueyanglou District, Yueyang City, and 1,035 micro-survey data from 28 key communities under renovation, taking the American Customer Satisfaction Model as the theoretical basis, this study comprehensively applies the Structural Equation Model, Kernel Density Analysis, and Moran's I to explore the spatial characteristics and formation mechanism of the satisfaction with the renovation of the urban human settlement environment. The results show that: 1)Residents form their satisfaction with the renovation of the human settlement environment along the main path of "policy expectation→perceived quality→perceived value→satisfaction". 2)The distribution of "residents' satisfaction-facility density" presents spatial characteristics of "high-low" aggregation in the urban outskirts, "low-high" aggregation in the central urban area, and "low-low" aggregation in the industrial area. 3)The action paths show that the perceived quality of the support system and residential system in old residential areas, the humanistic system and development system in communities transformed from villages, the residential system and development system in shantytown areas, and the development system in commodity communities significantly and positively affects residents' perceived value. 4)For the high-expectation group, the marginal perceived quality brought by each additional unit of policy expectation gradually decreases, leading to a simultaneous decrease in perceived value and satisfaction with the renovation. The situation is the opposite for the low-expectation group.

Enhancing the resilience of the defense industrial supply chain is crucial for ensuring national security. Based on the trade data of 421 dual-use products from 2001 to 2022, this study employs complex network analysis, simulated attack methods, and negative binomial regression to investigate the structural evolution and driving factors of the global dual-use items trade network. The results indicate: 1) In terms of spatial and topological structure, the scale of dual-use items trade has exhibited sustained expansion, with developed countries such as the United States and Germany dominating the majority share, while developing countries like China and Mexico have emerged as significant players. The trade network shows volatile expansion, characterized by polarization and small-world properties. 2) Regarding organizational structure and its robustness, a stable multi-level hierarchy exists, with China, the United States, and Germany serving as core nodes. The risk resilience of nodes shows convergent and polarized trends, predominantly comprising marginal and breakthrough-type nodes. Competition for network power among core nodes drives community fragmentation and integration. Structural resilience demonstrates fluctuating enhancement, with key nodes playing a decisive role in maintaining network stability. 3) Geographic, linguistic, and economic proximity, as well as positive geo-economic and geopolitical relationships, exert positive influences. Economic and technological development levels and network power and density have facilitating effects, while defense expenditure levels and political stability show inhibitory effects on the export and import sides, respectively. To consolidate China's leading position in the global dual-use items trade network, it is imperative to strengthen indigenous innovation capabilities and deepen international cooperation.

Regional industrial evolution studies mainly include quantitative studies of industrial relatedness studies and qualitative studies of path creation, enriching our understanding of the process of industrial evolution. However, little attention has been paid to the likely changing construction of regions during industrial evolution, which prioritizes territorial thinking of regions over relational thinking. This study proposes a broader context for understanding the regional industrial evolution, that goes beyond the industrial system and the territorial system. This study posits that historical contexts reflect the evolution of social relations that promote the restructuring of regions, change the connections between places, and then promote industrial evolutions. This suggests an analytical logic that follows the interactions between historical context, industrial relatedness, and path creation. On this basis, this paper investigates regional restructuring in two historical contexts, namely the transition from a globalized to a post-globalized world and the development of China since its opening-up and reform. It proposes a rescaling-to-the-local mechanism for regional industrial evolution: 1) During globalization, regions consist of interconnected places. The place can be simultaneously integrated into different regions, so that it faces the interactions of different economic relations. The interaction of economic relations drives its industrial evolution and changes its position within regions. It can also encourage the place to be integrated into new regions. Industrial evolution is therefore driven by the interactions between regions and places. 2) In the post-globalization era, relations of economic governance converge on the nation. The nation plays a key role in moderating economic relations between the supranational and subnational levels. Industrial evolution is thus subject to the promotion of region-place interactions and the moderation of region-nation interactions. 3) The rescaling-to-the-local mechanism in China is embedded in the context of globalization, decentralization, and regionalization. The nation can exercise economic governance by rescaling, downscaling, and re-territorialization. It reshapes the relatedness between local and non-local agents, between new and old paths, and between core and periphery. Their synergy takes a variety of forms and leads to diversified paths.

This study chooses the Jiahu National Pilot Zone of urban-rural integration development in Zhejiang Province as its study area, and employs methods including the entropy method, Dagum Gini coefficient, NICH and Hurst index, obstacle factor diagnosis to explore the spatial-temporal evolution, regional disparities, development trends and obstacle factors across 10 counties of the Jiahu National Pilot Zone. The study finds that: 1) The overall urban-rural integration development level of the Jiahu National Pilot Zone in Zhejiang Province showed an overall upward trend from 2014 to 2022, but significant regional differences exist. 2) The overall differences in the development level of urban-rural integration in the Jiahu National Pilot Zone have been increasing year by year, and the regional differences are the main source of difference. 3) The development level of urban-rural integration in the Jiahu National Pilot Zone is expected to exhibit significant regional disparities, with some areas showing a continued upward trend, while others may facing the risk of stagnation or even decline. 4) The main obstacle factors affecting urban-rural integration are relatively stable, and medical security is currently the most significant obstacle restricting the urban-rural integration development of the Jiahu National Pilot Zone in Zhejiang Province. The research conclusions are instructive and referential for clarifying the spatial-temporal evolution, development trends, and limiting factors of the Jiahu National Pilot Zone, as well as for advancing the high-quality development of urban-rural integration development pilot zones in Zhejiang Province.

According to the classification of port service industry,the study takes the logistics service industry,transportation service industry and financial and information service industry as the research object,and uses the theory of concentration measurement to study the evolution mechanism of the spatial structure of port service industry in the Yangtze River Delta from the perspective of the city level and port service industry enterprises,and explore the multi-level spatial evolution characteristics of different regions in different periods. The research finds that:1) The development of port service industry in the Yangtze River Delta shows a trend of gradual enhancement,it has a stronger influence of port service industry in Shanghai,followed by Zhejiang and Jiangsu. 2) The port service industry is combined with the proliferation of port cities,port service industry and port cities support each other. The spatial structure has developed from a single center to a multi center spatial structure through a dual center spatial structure at the city level. The spatial structure of cold and hot spots is relatively stable in the harbor service industry cluster,Shanghai,Suzhou and Hangzhou have gradually become the core regions. 3) The level of urbanization,knowledge spillover and the degree of agglomeration of port service industry lagging behind Phase Ⅶ are all conducive to the agglomeration of port service industry,while the level of informatization and the size of the government significantly inhibit the agglomeration of port service industry in the Yangtze River Delta. It is also basically similar in port logistics service industry,port transport service industry and port finance and information service industry.

Regional logistics is the precursor to high-quality development, and its spatial network leads spatial reconstruction. Based on the principle of economic development and geographical relationship, 99 county-level administrative units have been designated in Hunan Province. Panel data and geographic information from 2010 to 2022 is mined to evaluate the logistics comprehensive capacity and connected strength to map the spatial network. Finally, the methods of SNA, GIS, QAP are also applied to explore the evolution and mechanism about regional logistics network. The results show that: 1)The logistics comprehensive capacity of Hunan Province is spatial-temporal variation, the spatial network hierarchy is significant, and the clustering and differential characteristics are clear. The logistics connected strength weakens in layered manner from center to outer, presenting a "circular decreasing" pattern with Changsha as the core and outward. The logistics network is multilevel and differentiation with a form of "one core with multiple centers, dominated by weak links". The logistics clustering trend of the Changsha-Zhuzhou-Xiangtan urban agglomeration is strong, and the central-east, and western regions of Hunan Province are the hotspots about regional logistics. 2)The spatial network structure of regional logistics in Hunan Province is becoming more dense, mature, and balanced. The regional logistics has strong aggregation with an expanded network, which evolved from a structure of "one core multi-point" local clustering into a three-layer and half circle network of "core-half edge-edge". The network core overflow and location link proximity is obvious with the "matthew effect" weakens, which forming a "one pole and multiple points" development structure leaded by Changsha city. Network connection is external strength and internal weakness. The central units are dominant with siphon and overflow phenomena. The isolated units are less which acting on the edge layer. The whole network has good accessibility and extensibility. The spatial clustering characteristics of subgroups are deepened with improving efficiency of group links. The maximum gravity line structure is stable, and the resources control of regional logistics is strong. 3)Geographical proximity is the main driving force about evolution to the regional logistics spatial network in Hunan Province. The resource output and connection densification of regional logistics supported by th economic development. The basic conditions drive the accessibility and extension of the network. The logistics value represents value capability and scale efficiency of the regional logistics. There is a synergistic interaction among which factors.

This paper compiles the data of new rural financial institution branches in counties and matches it with four rounds of China Rural Household Panel Survey data from 2013, 2015, 2017, and 2019. By using a panel fixed-effects model, this research examines the influence of the expansion of new rural financial institutions on rural household income. It is found that: 1) Analysis based on ArcGIS reveals that the geographic financial density of new rural financial institutions exhibits provincial disparities and regional imbalances, showing a spatial pattern of "higher in the east and lower in the west". 2) New rural financial institutions' expansion has promoted the growth of rural household income. 3) New rural financial institutions' expansion can enhance the credit-availability of rural households, thereby promoting their income growth. 4) Both village banks and small loan companies contribute to the increase in rural household income, while the effect of rural mutual cooperatives is not significant. 5) The promotion effect of new rural financial institutions on rural household income is mainly reflected in central and western regions and counties under non-central cities. 6) The income-enhancing effect of new rural financial institutions is mainly manifested in providing assistance to low-material-capital households and low-human-capital households, while the "icing on the cake" effect for high-material-capital households and high-human-capital households is not significant. This research findings provide new theoretical foundations and empirical evidence for promoting sustainable growth of rural household income and achieving the goal of common prosperity.

To investigate the spatial differentiation of rural land recreation function in the suburban megacity helps to promote sustainable rural land use as well as rural revitalization. The "push system-pull system-intervening obstacle system" by following the "push-pull theory" was developed to explain the spatial differentiation. A field survey was conducted in the suburban megacity of Wuhan with 211 farmer interviews. The AMOS was applied for the structural equation model. Results show that: 1)The spatial characteristics of rural land recreation function in the suburban megacity of Wuhan follows a "hump-shape" feature, with two peaks occurring at 20~30 km and 50~60 km from the city center (which represent advantaged recreational area within a 1~2 hour traffic time from the city center). 2)All the push system, pull system and intervening obstacle system are revealed with a significant effect on the rural land recreation function. Specifically, demand scale, location, public infrastructure, and policy support are important factors that facilitate the rural land recreation function in the suburban megacity. This study revealed a "hump-shape" feature of the rural land recreation function in the suburban megacity of Wuhan, which helps in improving the rural land recreation function in the suburban megacity. This function can be enhanced by optimizing recreational resources and improving the allocation of rural land recreation functions near the "hump-shape" area.

Using Digital Elevation Model (DEM) data and geomorphological data, this study focuses on 8,155 traditional villages across China to examine how topographic environmental factors influence and shape the spatial distribution patterns of these villages at the county scale. By quantifying geomorphological indicators and applying statistical and spatial analysis methods, the study reveals the mechanisms through which topographic conditions affect the spatial layout patterns and clustering characteristics of traditional villages, providing a scientific basis for the concentrated protection and development of these villages. Key findings include: 1)The spatial distribution of contiguous clusters of traditional villages at the county level demonstrates pronounced regional disparities.2)The spatial patterns of these contiguous traditional village clusters exhibit a strong correlation with the orientation of China's major mountain ranges.3)Socioeconomic factors are not the principal determinants shaping the spatial agglomeration of traditional villages.The research findings offer valuable insights into the underlying mechanisms of traditional village formation in China and their intricate relationship with the natural environment, thereby providing a robust theoretical framework and empirical basis to inform scientific planning and conservation efforts.

The article focuses on 13 major grain producing areas in China as the research object, constructs an evaluation index system for the coupling and coordinated development of new quality productivity and farmland system resilience, and analyzes the spatiotemporal evolution characteristics and key influencing factors of the coupling and coordinated development of new quality productivity and farmland system resilience from 2010 to 2023 based on entropy method, coupling coordination model, and grey correlation model. The results show: 1) The average level of new quality productivity in China's major grain producing areas shows a fluctuating upward trend, with a spatial multipolar convergence pattern of high in the north and south, low in the middle, and reduced differences between the east and west. 2) The resilience index of the average cultivated land system in China's major grain producing areas shows a relatively stable and continuous upward trend, spatially manifested as a composite trend of "north-south gradient difference" and "east-west migration zone". 3) The coupling coordination degree between new quality productivity and farmland system resilience in different major grain producing areas shows a fluctuating upward trend, and has steadily entered an evolutionary trend of "high-quality coordination", showing significant spatial differences. 4) The resistance and adaptability of the farmland system have a relatively high impact on the coupling coordination degree, while the impact on the restoration ability is relatively weak, but it still plays an important role in Jiangsu Province. The research conclusion can provide theoretical guidance and empirical reference for improving the level of new quality productivity and enhancing the resilience of arable land systems.

The construction of harmonious and beautiful villages, as an important carrier of the rural revitalization strategy, provides a unique institutional experimental scenario for the research on the integration of agriculture and tourism. This article discusses the mechanism of the role of harmonious and beautiful rural construction in the integrated development of agriculture and tourism from the perspective of "supply-demand", and uses the micro-survey data of farmers in 30 provinces of China in 2021 to cross-match with the macro-data at the municipal level, and by using the OLS model, instrumental variable method and mediating effect model, etc., it empirically explores the influence effect and mechanism of the construction of harmonious and beautiful villages on the integrated development of agriculture and tourism. The results show that: 1) The construction of harmonious and beautiful villages significantly promotes the integrated development of agriculture and tourism. For every 1 unit increase in the construction of harmonious and beautiful villages, the integration of agriculture and tourism increases by 0.042 units accordingly. 2) The improvement of the local cultural atmosphere plays a partial mediating role in the process of the integrated development of agriculture and tourism in the construction of harmonious and beautiful villages. 3) The transformation and upgrading of the industrial structure play a fully mediating role in the process of the integrated development of agriculture and tourism in the construction of harmonious and beautiful villages. The research results are conducive to forming a replicable and scalable Chinese solution for "realizing the value of ecological products", which has significant practical significance for achieving the goals of comprehensive rural revitalization and common prosperity.

In the context of the digital economy, understanding the spatiotemporal evolution mechanisms of virtual tourism flow is crucial for optimizing tourism resource allocation and facilitating the dual circulation pattern. Based on the tourism search index data of 285 prefecture-level cities in China from 2011 to 2022, this study utilizes the methods of social network analysis and QAP regression to systematically examine the dynamic evolution patterns and driving mechanisms of virtual tourism flow networks from the perspectives of TOE framework. The findings are as follows: 1) The virtual tourism flow network exhibits a three-phase evolutionary pattern of "expansion-polarization-reconstruction". The network structure evolves from a sparse single-core configuration to a more complex multi-core structure, the network density peaked in 2018, but subsequently experienced a cliff-like decline due to the impact of the COVID-19 pandemic. 2) The virtual tourism flow network of eastern core cities still hold a dominant position. The network integration of cities in central and western regions has significantly increased, with growing exchanges of tourism information with other cities. 3) The virtual tourism flows expand from core cities to peripheral cities, with overall intercity connections becoming more cohesive. Cohesive subgroup analysis further reveals that the virtual tourism flow network is gradually overcoming geographical constraints to form a cross-regional, highly accessible structure, while still retaining certain spatial characteristics. 4) The popularity of mobile devices and market scale are key driving factors of the evolution of virtual tourism flow network. Their effects have gradually intensified over time. Regionally, network development in western China relies more heavily on communication infrastructure, whereas the virtual tourism flow network of eastern regions benefit mainly from larger market size.

The construction and ongoing development of national parks, while promoting ecological environmental protection, have also posed new challenges to the traditional livelihoods of indigenous residents. Ecotourism has gradually emerged as an important pathway for achieving coordinated development between regional ecological environmental protection and socio-economic development. Livelihood resilience, as a key indicator for evaluating the adaptability and sustainability of residents' livelihoods, holds significant research value. This paper takes the Changdao National Park creation area as the research subject. It constructs a livelihood resilience measurement framework: buffer capacity, self-organization, capacity for learning and cultural adaptation capacity. By employing logit models and propensity score matching models, the study reveals the impact mechanisms of ecotourism on the livelihood resilience of island residents and further explores the differential effects of ecotourism on the livelihood resilience of different groups. The study concludes that: 1) Under the context of national park construction, ecotourism has significantly enhanced the livelihood resilience level of island residents. 2) Livelihood strategy adjustments and socioeconomic capital play mediating roles between ecotourism and residents' livelihood resilience, with the community-based livelihood mutual-aid network forming a key resilience foundation. 3) Policy support serves as an important moderating factor in the process of ecotourism influencing island residents' livelihood resilience, where effective policy interventions can amplify the positive effects of ecotourism. 4) The positive impact of ecotourism on livelihood resilience exhibits significant group heterogeneity. Compared to high-income residents, ecotourism has a greater impact on the livelihood resilience of low-income residents. The research findings provide valuable insights for promoting the sustainable development of ecotourism and improving residents' livelihood resilience.

With the help of Internet multi-source data, 30 internet-famous tourism destinations such as Ganzi, Zibo and Harbin were selected as the research objects. The characteristics and laws of the evolution of their lifecycle were evaluated, and a systematic regulation strategy influencing factors was explored based on this for the internet-famous tourism destinations to go from "explosive popularity" to "long-lasting popularity". The results showed that there are obvious hierarchical differences in the popularity of China's internet-famous tourism destinations, with obvious head effects and seasonality, and the overall spatial distribution pattern is high in the southeast and low in the northwest. The lifecycle of internet-famous tourism destinations can be divided into five types: stable, explosive, valley, peak and special, and there are obvious differences in the lifecycle evolution characteristics of different types of internet-famous tourism destinations. Four systematic regulation strategies were proposed, namely, "establishing service-oriented management thinking, creating local cultural and tourism IPs, innovating multi-media image dissemination, and strengthening digital city construction", with a view to providing decision-making references for internet-famous tourism destinations to avoid entering a recession or falling off the cliff, and to realize a healthy and sustainable development.

Grounded in the conceptual framework of ecotourism industry vulnerability and based on the multi-source heterogeneous data, this paper constructs the vulnerability evaluation index system of ecotourism industry encompassing four subsystems which are tourism market subsystem, tourism resource subsystem, ecological environment subsystem, and socio-economic subsystem. It investigates the spatial distribution patterns of ecotourism industry vulnerability in 64 counties of the Yunnan section of the Jinsha River Basin, identifies and explains its obstacle factors corresponding to different development patterns by the means of the entropy-CRITIC combined weighting method, ArcGIS spatial analysis, and obstacle degree models. The results show that: 1) The overall vulnerability of the ecotourism industry are relatively high and shows significant polarization differences in the Jinsha River Basin, with a spatial pattern of being low in the west of the research area and high in the east of the research area. 2) Based on the evaluation results of multidimensional vulnerability in the Yunnan section of the Jinsha River Basin, it divides into 6 development types: endowment type, imbalanced type, dominant type, constrained type, restorative type, and potential type, among which the endowment and potential types are most suitable for ecotourism development. 3) It reveals the core constraints and supporting factors for ecotourism industry development across the entire study area and within each development mode, leading to targeted governance recommendations.

Based on a diachronic field survey of the new endogenous development phenomenon in Shiyanhu Village of the Changsha-Zhuzhou-Xiangtan region, this study adopts the actor-network theory to analyze the process and mechanism of rural new endogenous development. The results show that during the endogenous development of Shiyanhu village, multiple key actors such as investment enterprises and village-level organizations, as well as human and non-human actors including villagers, land, houses, and village elites, constitute the main body of the heterogeneous actor network construction. With the replacement of key actors from investment enterprises to village-level organizations and local governments, the rural endogenous development path has shifted from capital-dependent exogenous development to endogenous development focusing on the cultivation of local forces, and the rural industries have transformed from traditional agriculture to rural tourism and then to the integrated development of agriculture, culture, and tourism. The regional natural and humanistic environment, rural macro-development system, the replacement of key actors and their functional role transformation, as well as the development concept of collective identity and action consensus, jointly affect the succession of rural endogenous development stages. The actor-network theory and its methods are conducive to presenting the succession context and evolutionary characteristics of rural new endogenous development, and can deeply reveal the general mechanism and regional characteristics of rural new endogenous development. The conclusions can provide useful references for enhancing the momentum of rural endogenous development and boosting rural revitalization.