With the deepening of the transition of China's economic and social development paradigm, promoting coordinated development of "carbon reduction, pollution reduction, green expansion and economic growth" has become an inevitable choice for building a new development pattern of harmonious coexistence between humans and nature. This paper calculated the coordinated development degree of "carbon reduction, pollution reduction, green expansion and economic growth" in 282 cities of China from 2006 to 2021 based on the compromise coupling coordination degree model for solving the optimal value range. Through methods of subsystem contribution decomposition and local spatial Markov chain, this paper refined and identified the spatiotemporal transfer dynamics of the coordinated development degree and its leading contribution types in Chinese cities. The main results indicated that: 1) The coordinated development level of Chinese cities continues to rise, transitioning from low coordination to moderate coordination. Spatially, this evolution exhibits a shift from contiguous agglomeration along the eastern coast to gradient diffusion from the eastern region to the western region. 2) The overall coordinated development process of Chinese cities has undergone a shift from a single focus on carbon reduction or pollution reduction to a synergistic pattern of dual-control in carbon reduction and pollution reduction. However, the leading contribution type of each subsystem differs significantly across regions. Cities in central and southern regions need to promote carbon reduction and pollution r reduction synergistically. Cities in northeastern, northwestern, and southwestern regions need to prioritize pollution reduction. Cities in the Yangtze River Delta and the coastal region of Guangdong-Fujian-Zhejiang have shifted to a growth-led trajectory. Some cities in the middle reaches of the Yangtze River and the central southern region of Liaoning need to be vigilant about the fluctuations in the coordinated development process. 3) Chinese cities exhibit significant "path lock-in" and "club-convergence" effects in the coordinated development process, whereas spatial neighborhood spillovers remain limited. Promoting further coordination requires a long-term focus on optimizing cities' internal contribution structure.

To achieve substantial progress in promoting common prosperity and realize an olive-shaped distribution pattern lies in reducing the proportion of low-income groups. Based on the connotation of low-income and the need to reduce the proportion of low-income groups, this paper proposes a framework for measuring low-income groups. On the basis of the above, it measures the low-income groups of the whole country and 31 provincial-level regions from 2000 to 2021, analyzes the characteristics of its spatiotemporal evolution, urban and rural distribution, and composition of the groups, and explores the factors influencing the reducing of the proportion of low-income groups and their mechanisms from the perspective of the digital economy and poverty alleviation policies. It's found that: 1) The proportion of low-income groups in China has the distribution characteristics which are lower in the east of China and higher in the west of China, and shows the evolution trend which is increasing in the east of China and decreasing in the west of China. 2) The low-income groups have evolved from being predominantly relatively poor to being relatively low-income groups. There are still large-scale relatively poor groups in the central and western regions, and there is a problem of insufficient motivation for the transformation of the group into a middle-income group in the eastern region. 3) Increasing the momentum of economic development, improving economic development dynamics and continuously improving the structure of income distribution is still an important part of reducing the proportion of low-income groups, especially for urban low-income groups, which favourably promotes the structural upgrading and expansion of middle-income groups, while the deterioration of the income structure of the low-income groups has a stronger impact. 4) The anti-poverty policy of lifting up low and expanding middle-income groups is more prominent, and the development of the digital economy is more capable of raising the incomes of the relatively low-income groups, but there is a certain risk of poverty under the digital divide, and the process of advanced industrial structure reinforces this differentiation.

Based on the methods of the multi-regional input-output model, the modified hypothetical extraction method and the Moran index, this paper uses the energy consumption data from the construction industry across 30 provincial-level regions in China from 2012 to 2022 to analyze the spatial correlation effects of energy changes. Then, it uses the multi-regional input-output table in China from 2012 to 2017 to calculate the embodied energy consumption of provincial-level construction industry trade, analyzes its flow network and spatial characteristics. On the basis of the above, it constructs a driving force coefficient model for embodied energy flow in construction industry trade, and classifies the driving force types of the provincial-level construction industry. The main conclusions include that: 1) The embodied energy consumption of provincial-level construction industry trade in the eastern and central regions are higher than that in the northeastern and western regions. Except for Jilin, Heilongjiang, Beijing, Shanghai, Gansu and Jiangsu, all other provincial-level regions show an upward trend in the embodied energy consumption of construction industry trade. 2) The number of embodied energy flow paths of the inter-provincial construction industry trade exceeds 400 annually. 263 flow paths show the upward trend and 343 flow paths show the downward trend. The embodied energy flow paths of the inter-provincial construction industry trade from Chongqing to Guangxi, Chongqing to Xinjiang, and Zhejiang to Henan rank as the top three. Additionally, there is a significant positive spatial correlation in changes in construction industry energy consumption across provincial-level regions. 3) The roles of the provincial construction industry are different. There are 15 supplies and 15 receivers of embodied energy in construction industry trade. 4) The construction industries of Chinese provinces exhibit different types of influence on the embodied energy flow in trade within the economic system. 10 provincial-level regions, mostly concentrated in the eastern and western regions, play a driving role, with Chongqing, Ningxia, and Jiangsu being the top three provincial-level regions with the strongest driving force.

Based on the micro-level data of Chinese A-share listed companies from 2010 to 2023, this paper depicts the spatiotemporal evolution of corporate financial risk. Using the intelligent manufacturing pilot demonstration project as a quasi-natural experiment, it constructs a multi-period difference-in-differences (DID) model to systematically examine the impact of intelligent manufacturing on corporate financial risk and its underlying mechanisms. The empirical results show that: 1) Intelligent manufacturing demonstration project significantly reduces the financial risk of listed companies. This conclusion remains robust after a series of tests, including parallel trend test, placebo test, endogeneity test, and alternative measures of corporate financial risk. 2) Heterogeneity analysis reveals that the inhibitory effect of intelligent manufacturing on corporate financial risk is more pronounced in firms located in eastern region, those in the information technology industry, and non-state-owned enterprises. 3) Mechanism analysis shows that intelligent manufacturing effectively mitigates corporate financial risk through three internal channels: enhancing innovation efficiency, improving information disclosure quality, and strengthening operational stability. Meanwhile, the implementation of intelligent manufacturing policies by neighboring enterprises also reduces a firm's financial risk through spatial spillover effects. The conclusions of this paper enrich the relevant research on the economic consequences of intelligent manufacturing and the influencing factors of financial risk, and provide empirical evidence and policy implications for promoting the intelligent transformation of the manufacturing industry, preventing and resolving corporate financial risk, and achieving high-quality development.

The integrated construction of Chengdu-Chongqing Economic Circle (CCEC) is a national strategic arrangement to implement the large-scale development of the country's western regions, build a "dual circulation" development pattern across the country, and achieve Chinese modernization. Based on the county-level GDP from 2013 to 2023, this paper evaluates the spatial equilibrium effect of the integrated construction of CCEC by the means of Dagum Gini coefficient, FW index, and σ convergence model. The results are as follows: 1) The integrated construction of CCEC has broadened the development gap and aggravated spatial differentiation between CCEC and non-CCEC. 2) To some extent, the integrated construction of CCEC has driven the differentiated development of CCEC, although σ convergence is observed, the effect is limited. The polarization development of "core-periphery" makes account for regional development differences and spatial polarization in CCEC. 3) It shows stronger inter-group differences in the core area and the peripheral area of CCEC, while it shows stronger intra-group differences in the Chongqing part and Sichuan part of CCEC, which indicates that the isolation effect of administrative divisions is still prominent. 4) During the study period, the spatial equilibrium effect of the integrated development of CCEC was not ideal, one of the most crucial reasons is the overemphasis on "dual-core leadership" and the neglect of peripheral regions in the directives from superior authorities. The differences in historical development foundations, malicious competition and duplicative construction caused by administrative division barriers, imbalanced allocation of industries and resources, ecological conservation constraints, and core-periphery disparity in supply of basic public services are also important influencing factors. Based on the above, it puts forward some specific suggestions from the aspects of adjustment to strategic positioning, breaking administrative division barriers, coordinating the construction of demonstration zones, improving transport accessibility and optimizing the supply of basic public services with the aim of serving the national strategies and promoting the high-quality integrated development of CCEC, it also looks forward to arousing more scholars' attention and thinking about it.

Using the organizational chain data of real estate, financial, and manufacturing enterprises from the top 500 enterprises of China in 2024, this study constructs urban specialized functional network and, drawing on the coupling degree model and the multiplex network theory, further develops a comprehensive functional network. It applies the complex network model and the coupling coordination degree model to analyze the structural characteristics of the urban specialized functional network of industry and the coupling coordination characteristics of the urban comprehensive functional network of industry. The results show that: 1) Node centralities of the specialized functional network and the comprehensive functional network both exhibit significant hierarchy and scale-free characteristics, with a pronounced core-periphery structure. Spatially, it shows an uneven distribution feature, which is dense in the east of China and sparse in the west of China, nodes with high-level centralities and strong connections are concentrated in the eastern coastal regions such as the Beijing-Tianjin-Hebei region, the Yangtze River Delta, and the Pearl River Delta. 2) The hierarchical and heterogeneity of the urban specialized functional and comprehensive functional networks are all significant, and the coupling network matching and hierarchical characteristics all exhibit the "neutral effect" feature, the "capital positioning" phenomenon of financial industry towards real estate and manufacturing industries is significant, the coupling of different industrial networks shows obvious "Matthew effect" and "agglomeration" phenomena. 3) It shows the characteristics of high coupling and low coordination in terms of the coupling of different functions within cities and the coupling of different functions among cities. It has strong coupling and joint interaction in various functional connections within cities, but industrial reciprocity remains weak. The coupling coordination levels of inter-city functional connections are highly heterogeneous, with most cities remaining at an extremely low coordination level, while only Beijing and Shanghai have reached a high-level coordination stage, with sufficient resource integration and significant reciprocity.

Facing the multiple pressures of the "three overlapping periods," urban economic resilience has become a core issue in responding to uncertain shocks and achieving sustainable development.. Using panel data from 278 Chinese cities spanning 2007 to 2022, this study systematically investigates the spatio-temporal evolution patterns and influencing mechanisms of urban economic resilience by integrating spatial econometric methods with machine learning models. The findings reveal that while China's urban economic resilience shows an overall upward trend, regional disparities continue to widen. Specifically, resilience is stronger and more steadily improving in the eastern and central regions, whereas the northeastern region exhibits significant fluctuations and the western region experiences only moderate changes. A significant positive spatial correlation in urban economic resilience is observed, indicating that improvements in the resilience of neighboring cities generate positive spillover effects on the local city. Financial economy, science and technology education, government policies, and environmental climate are the selected influencing factors, among which the local fiscal revenue-to-expenditure ratio has the greatest impact. Moreover, this ratio exhibits an inverted U-shaped relationship with urban economic resilience, with an optimal balance point at 82.6%. Both excessive deficits and surpluses can weaken resilience.

Climate risk, as a critical factor threatening the high-quality economic development, is increasingly constraining the upgrading of household consumption and the release of domestic demand. Based on the data from the China Family Panel Studies (CFPS) and the Climate Physical Risk Indices at the prefecture level from 2012 to 2022, this paper systematically examines the impact of Climate Risk Shocks on the household consumption structure upgrading. The results show that: 1) Climate Risk Shocks significantly reduce the shares of development- and enjoyment-oriented consumptions in total household expenditure. This finding remains robust after a series of tests, including alternative variable measurements, sample adjustments, and instrumental variable methods for endogeneity. Nonlinear regression results indicate that this effect exhibits a clear pattern of risk accumulation, with the negative impact becoming statistically significant only at relatively high levels of climate risk. 2) Mechanism analysis shows that Climate Risk Shocks hinder the upgrading of household consumption structure mainly through three channels: reducing property and transfer income, weakening the vitality of nighttime economic activities, and damaging urban infrastructure. 3) Heterogeneity analysis shows that the inhibitory effect is more pronounced among rural households, low-income and less-educated households, cities with weaker drainage and ecological conditions, non-resource-based cities, and regions in eastern and western China. Further analyses show that the pilot policy for "Climate-Resilient Cities" effectively mitigates the adverse impact of Climate Risk Shocks on the household consumption structure.

In the context of China's demographic structure characterized by a declining working-age population and an aging society, attracting migrants to settle down has become a crucial factor for cities to achieve high-quality development. Based on the data of China Migrants Dynamic Survey released by the National Health Commission, this paper empirically examined the impact of social integration on the settlement intention of migrant population. The findings indicated that: 1) For every one-unit increase in social integration level, the settlement intention of migrant population will increase by 2.732 times. Moreover, the social integration level influences the settlement intention of migrant population based on the degree of the migrant population's demand for urban public service resources. The mediating effects of opportunities for migrant children to receive education in primary schools, signing fixed-term contracts with work units, and participating in local medical insurance are 2.88%, 1.65%, and 4.85% respectively. Additionally, it estimated that housing pressure leads to a concealing effect ranging from 4.3% to 12.45%. 2) The heterogeneity effects show that the social integration level can increase the settlement intention of cross-provincial migration population by 6.041 times, and the settlement intention of inter-city migration population within the province by 2.52 times, but it has insignificant impact on the settlement intention of cross-county within city, identity recognition serves as a primary dimension through which migrants achieve settlement in their destination city. Finally, this paper proposes relevant policy recommendations: balancing urban public service resources, strengthening cultural exchange and integration, and smoothing channels for interactive participation.

Based on the panel data of 267 prefecture-level and above cities in China from 2013 to 2021, this article systematically examines the impact effect and mechanism of the urban digital and intelligent transformation on the cross-border e-commerce. The research findings are as follows: 1) The urban digital and intelligent transformation can significantly enhance the development level of cross-border e-commerce in regions. Under an "effective market" environment, the urban digital and intelligent transformation improves the regional cross-border e-commerce development through the effects of innovation-entrepreneurship and credit optimization. Under a "proactive government" environment, government information disclosure and "director exchange" effects can positively regulate the promoting effect of the urban digital and intelligent transformation on the regional cross-border e-commerce development. 2) From the heterogeneity analysis perspective, the promoting effect of the urban digital and intelligent transformation on the cross-border e-commerce scale is more significant in coastal cities, large cities, and cities with well-developed digital infrastructure. 3) From the spatial effect perspective, the digital and intelligent transformation has a positive spatial spillover effect, that is, while promoting the development of cross-border e-commerce, it can also radiate and drive the development of cross-border e-commerce in adjacent cities. The research conclusions provide theoretical references and experience references for understanding how digitalization promotes the high-quality development of cross-border e-commerce and serves the construction of the new development pattern of "dual circulation".

Based on the triple bottom line theory and the stakeholder theory, this study constructs a 4×3 dual-perspective evaluation indicator matrix for the cold chain logistics of agricultural products in China, and uses the CRITIC and entropy weight method to assign weights to 38 secondary indicators. It calculates three types of sustainable development indices and uses the quartile method and the Boston Matrix to dynamically analyze the temporal evolution and spatial disparities in the sustainable development level of cold chain logistics of agricultural products in 30 provincial-level regions of China from 2012 to 2022. The results indicate that: 1) The overall sustainable development level of China's cold chain logistics for agricultural products shows an upward trend, but the environmental performance lags behind social and economic dimensions. 2) Among stakeholders, farmers exhibit the strongest performance in promoting the sustainable development, while the performance of all four stakeholders converges gradually. 3) There are significant performance disparities in the sustainable development level of cold chain logistics for agricultural products on either side of the Hu Huanyong Line, with Category Ⅲ provincial-level regions concentrated in the northwestern side and Category Ⅰ provincial-level regions clustered in the southeastern side. This study extends existing research from a theoretical framework perspective and summarizes the development characteristics of cold chain logistics for agricultural products in the four categories of provincial-level regions, offering valuable theoretical and practical references for promoting the sustainable development of this industry in different areas.

Digital economy is a critical driver of industrial intelligent upgrading and technological innovation, and is also an important force for achieving the green transition of the economy and the carbon peaking and carbon neutrality goals. Using China's provincial panel data from 2011 to 2023, this paper constructs a spatial Durbin model (SDM) to empirically investigate the impact and action mechanism of the digital economy on the provincial industrial carbon productivity. The results indicate that: 1) Digital economy development significantly enhances local industrial carbon productivity and exerts positive spatial spillover effects on neighboring regions, with the conclusion remaining robust after multiple robustness tests. 2) This effect is more pronounced in regions with higher urbanization, lower resource endowments, and stricter environmental regulations. 3) Digital economy can boost the industrial carbon productivity through multiple channels, including industrial structure upgrading, factor allocation optimization, consumption structure upgrading, and technological innovation. Accordingly, this paper proposes some policy recommendations: strengthening digital infrastructure construction, aligning policies with regional endowments precisely, and implementing the innovation-driven national strategy to facilitate the industrial green transformation and the achievement of the carbon peaking and carbon neutrality goals.

The spatial spillover effects of the digital economy on the tourism economic resilience among interconnected cities have become an important research topic in the context of regional integration development. Based on the balanced panel data from 41 cities in the Yangtze River Delta region from 2011 to 2023, this study constructs a multidimensional evaluation index system for both the tourism economic resilience and the digital economy. It uses the entropy weight method to determine their indicator weights, and the two-way fixed effects model along with the spatial Durbin model to systematically analyze the impact and spatial effects of the digital economy on the tourism economic resilience. The results show that: 1) In terms of spatiotemporal evolution, both the tourism economic resilience and the level of the digital economy have generally increased, but the digital economy has grown at a faster pace and exhibits more pronounced spatial polarization. 2) The digital economy significantly promotes the tourism economic resilience in the Yangtze River Delta region. 3) The digital economy has a significant and positive spatial spillover effect on the tourism economic resilience. 4) Based on the tourism dependence and the level of digital economy development, it constructs a dual-dimensional four-quadrant classification, and classifies cities into four types: dual-driven type, digital single-core type, tourism single-core type, and double-lowland type. Heterogeneity analysis indicates that spatial spillover effects vary significantly across different types of city. Finally, it proposes some policy recommendations in response to the differentiated characteristics among cities in the Yangtze River Delta region.

The development of new quality productive forces constitutes an inherent requirement and a critical leverage point for promoting the high-quality economic development. Based on the data from the three major economic circles of Shandong Province from 2013 to 2023, this study employs the entropy-weighted TOPSIS method to evaluate the new quality productive forces and the level of high-quality economic development, and investigates their spatiotemporal coupling characteristics and interaction effects by the means of the coupling coordination model, the standard deviational ellipse, the gravity center migration model and the panel vector autoregression (PVAR) model. The results indicate that: 1) During the study period, both the new quality productive forces and the high-quality economic development exhibited an overall upward trend, with a distinct spatial differentiation pattern, which is higher in the east of Shandong and lower in the west of Shandong. Three economic circles have formed a hierarchical development structure, Jiaodong economic circle plays a leading role, central Shandong economic circle plays a stabilizing role, and southern Shandong economic circle plays a catching-up role. While the growth rate of new quality productive forces accelerated rapidly in the early stage and slowed thereafter, the high-quality economic development maintained steady and continuous growth. 2) In terms of temporal evolution, Shandong Province achieved a transition in coupling coordination from the "dysregulated and declining" stage to the "transitional" stage, with the high-efficiency dimension improving most rapidly and the overall system structure becoming increasingly optimized. Spatially, the gravity center of coupling coordination shifted southwestward, accompanied by an expanding spatial scope and a northwest-southeast dominant orientation, indicating a gradual evolution toward a multi-centered and networked regional development pattern. 3) Significant dynamic interactions and bidirectional adjustment effects exist between the two systems, exhibiting a pattern of "short-term fluctuations but long-term synergy". High-quality economic development initially suppresses the enhancement of new quality productive forces in the short term, but it exerts an increasingly positive influence over the long run. The driving effect of new quality productive forces is immediate, yet it lacks sustained strength. Overall, the relationship between the two systems can be characterized as a coexistence of "coordination and competition".

Diagnosing the shortcomings and vulnerable areas of the population, land, and industry systems in rural areas of the Yellow River Basin, and revealing the interactive relationships among them, is essential for identifying critical zones practice targets based on natural resource endowments and the foundation of economic and social development. This approach is fundamental for implementing differentiated basin governance. This study focuses on 360 county-level units within the Yellow River Basin, employing exploratory spatial data analysis and geographically weighted regression models to diagnose the spatial differentiation and critical zone of vulnerability in the rural Population-land-industry system, and to explore the interactive influences among population, land, and industry. The research findings indicate:First, the overall vulnerability of the rural Population-land-industry system in the Yellow River Basin is characterized by the industry system being more vulnerable than the population system, which in turn is more vulnerable than the land system. There is a significant differentiation in vulnerability within the region, which can be divided into five types of critical zones: Upstream H-H-H type, Front Plain H-H-N type, Upstream N-H-H type, Downstream H-N-N type, Upper-Middle Upstream N-H-N type Second, the reduction in industry system vulnerability is primarily influenced by the population system's drinking water demand satisfaction and health service capacity. It is made fragile by the land system's soil erosion, natural disasters, annual maximum NDVI, and the degree of population loss in the population system. Thirdly, the development of agricultural bases and industrial parks contributes to the reduction of population system vulnerability across critical zones. The proportion of the primary industry acts as a positive contributing factor to vulnerability, while the extent of natural disasters and climatic suitability exhibit both positive and negative effects spatially. Based on the vulnerability characteristics and influencing factors in critical zones, this study provides a foundational map for formulating differentiated vulnerability mitigation strategies and targeted interventions.

This paper constructs an analytical framework for the supply-demand evaluation of public facilities in rural community living circles. Based on the data of POI, population and three-dimensional houses, it analyzes the distribution characteristics of rural community population and the allocation pattern of public facilities in living circles of Nanjing. Toward the needs of different rural resident groups, it uses an improved Huff three-step floating catchment area model to evaluate the supply-demand level of public facilities in rural community living circles, and proposes the zoning optimization path for rural community living circles in Nanjing. The results show that: 1) There are significant differences in the supply-demand level of different types of public facilities in Nanjing. Community health service centers, nursing homes, junior high schools, and agricultural facilities have good accessibility, while rural public toilets, elderly meal assistance, supermarkets and park green spaces have lower accessibility. 2) The supply-demand level of different public facilities in rural community living circles has a typical circle effect. High supply levels are observed in expansion living circle, followed by convenient living circle, and lower in basic living circle. 3) Based on the evaluation of supply-demand level of public facilities in different types of living circles, this paper identifies four optimization zones: basic guarantee zone, quality improvement zone, characteristic guidance zone, and collaborative optimization zone. It puts forward targeted optimization paths for different zones, which provides a decision-making basis for rural community planning and the equalization of public service facilities.

To solve the structural contradiction between land fragmentation and agricultural modernization, it is urgent to leverage social services as the hub to drive the coordinated transformation of small-scale farmers. Based on the panel data of China Land Economic Survey ( CLES ) from 2020 to 2022, this paper uses a two-way fixed effect model to explore the impact of peer effect on farmers' adoption of agricultural socialization services. It is found that: 1) There is a significant peer effect at the village level, and the adoption degree of agricultural socialization services is strengthened with the increase of peer effect. 2) Farmers' preference plays a key regulatory role. Risk preference significantly weakens the transmission intensity of peer effect, while time preference strengthens the transmission intensity of peer effect. 3) The mediating mechanism shows that the peer effect enhances income by driving non-agricultural transfer of labor force, and subsequently promotes the adoption of services. 4) The heterogeneity analysis reveals that peer effect plays a stronger role in non-entrepreneurial households, and the influence of peer effect in characteristic industrial villages is weaker than that in villages with industrial weak. Therefore, building a high-quality social network, breaking the barriers to farmers ' information acquisition, improving the market information transmission mechanism, and formulating agricultural socialization service promotion policies are effective means to improve farmers' adoption of agricultural socialization services.

Grounded in Marx's three-element theory of productive forces, this study constructs an evaluation framework encompassing new-quality agricultural labor, means of labor, and objects of labor. Based on the provincial panel data from 2014 to 2023, it analyzes the spatiotemporal distribution of China's agricultural new quality productive forces (ANQPF) and systematically examines their income-increasing effects and underlying mechanisms through the methods of two-way fixed effects, threshold regression, and spatial Durbin models. The main findings are as follows: 1) The level of China’s ANQPF has grown steadily, driven by the centripetal forces of new economic geography, and exhibits a gradient pattern, which is higher in eastern region, followed by central and western regions. 2) Resource endowments exert a significant moderating effect, with the income elasticity of major grain-producing regions significantly being higher than that of non-major grain-producing regions. In eastern region, a transitional paradox of "output growth without income increase" emerges due to a persistently low proportion of operating income and high opportunity costs. 3) Urbanization exhibits a single threshold effect on income growth. After crossing the critical threshold, the driving mode shifts from internal efficiency improvement to systemic empowerment characterized by county-level integrated development and the radiating effects of urban agglomerations. 4) Spatial spillover effects dominate the contribution to income growth, highlighting the nature of public goods of cross-regional supply chain linkages and digital technology diffusion. Accordingly, this study proposes the establishment of a three-tier (national-provincial-county) coordinated policy system and the implementation of differentiated adaptation strategies based on natural endowments, which provides theoretical support and policy references for regional coordinated development.

This study takes the Dongting Lake region as a case study and establishes a "county-town-grid" three-tiered scale analytical framework. It integrates the methods of InVEST modeling, correlation analysis, and ridge regression to systematically analyze the spatiotemporal changes of five ecosystem services (habitat quality, water yield, soil retention, carbon storage, and food supply) from 2000 to 2020, revealing the scale characteristics and driving mechanisms of their trade-offs/synergies. The results show that: 1) There is significant spatiotemporal differentiation of ecosystem services in the Dongting Lake region, with habitat quality and carbon storage declining, soil retention and food supply steadily improving, and water yield fluctuating upward. 2) The trade-off/synergy relationships of ecosystem services exhibit scale dependence. Synergy of ecosystem services plays a dominating role at the county scale, some service relationships of ecosystem services undergo directional changes at the township scale, it has local trade-offs and spatial heterogeneity at the grid scale. 3) The driving mechanisms follow a regular scale-dependent pattern. At the county scale, human activities and natural factors jointly govern the ecosystem services. At the township scale, natural factors dominate with human activities as a weak synergistic force. At the grid scale, natural factors dominate with localized human activity interference. Overall, the influence of human activities increases with scale, while the impact of natural factors becomes more pronounced as the scale is refined. This study reveals the hierarchical patterns and driving differentiation of ecosystem service trade-offs/synergies from a multi-scale perspective, providing scientific support for differentiated ecological management and territorial spatial optimization in the Dongting Lake region and similar large lake basins.

Focusing on the boundary area between Guangzhou and Foshan, this study employs GPS trajectory data and applies the Law of One Price to assess boundary effects of non-motorized recreation. By integrating trajectory gradient variations, cross-boundary flow intensity and link symmetry, it explores the recreational integration between the two cities at the macro level. Based on the above, it uses the trajectory density ratio and the connectivity ratio to depict the characteristics of cross-city recreation activities from a micro perspective. The findings reveal that: 1) administrative boundaries locally hinder both walking and cycling activities, but it exhibits a mediating effect at the city level, with particularly strong facilitative effects on cycling activities. 2) A stable cross-city recreational corridor has formed in the central boundary zone of the research area, it shows weak connections at the northern and southern ends of the research area. The flows of cycling activities show a one-way radiate from Guangzhou to Foshan, whereas the flows of walking activities tend to be bidirectional. 3) Walking activities exhibit a "temporally concentrated and spatially dispersed" pattern, while cycling activities display a "temporally dispersed and spatially concentrated" mode. Overall, recreational integration between Guangzhou and Foshan shows a positive trend, though certain boundary zones require further optimization. The research results can provide decision-making support for deepening recreational integration in the region.

To explore the cultural heritage of Xizi Pagodas in the Yangtze River basin, this study takes 478 Xizi Pagodas as research objects and employs ArcGIS to analyze their spatial distribution patterns, architectural morphological characteristics and driving factors. The results show that: 1) In terms of spatial distribution, Xizi Pagodas in the Yangtze River basin exhibit significant watershed agglomeration characteristics and strong positive spatial correlation, forming a spatial pattern of "overall dispersion with local concentration" along the stem streams of the Yangtze River. 2) In terms of architectural function and form, it shows clear regional differentiation. In the upper reaches of the Yangtze River, diverse architectural forms reflect the cultural integration of migrant societies. In the middle reaches of the Yangtze River, greater emphasis on moral and educational functions reflects the profound influence of Neo-Confucian farming-reading ethics. In the lower reaches of the Yangtze River, the architecture becomes more refined and elegant, reflecting the transformation of cultural functions driven by interactions between scholars and merchants. 3) The spatial differentiation results from the combined effects of natural, economic, cultural and social factors. Land ecological utilization, regional economic development, the southward shift of cultural centers, local educational traditions, and religious folk beliefs jointly shape this distinctive watershed cultural landscape. This findings not only reveal the spatial expression of Chinese character worship embodied in Xizi Pagodas and its watershed characteristics in relation to land ecological utilization, but also provide important theoretical support and practical implications for the construction of the Yangtze National Cultural Park and the inheritance of excellent traditional Chinese culture.

The nostalgia memories of overseas Chinese on their hometown's natural landscape, humanistic customs, historical traditions, etc., not only carry the emotional sustenance for their hometown, but also reflect their identity and cultural identity. This paper selects 18 famous cultural towns and villages of overseas Chinese hometown in Fujian Province as research samples, comprehensively uses the methods of field survey, interview and questionnaire to collect a large number of nostalgia memory information of overseas Chinese, and uses the grounded theory to code and analyze them. It extracts nostalgia elements from seven aspects: natural landscape, work scenes, construction style, local characters, life traditions, festival folk customs, and skill inheritance. On this basis, it analyzes the spatial differentiation law of nostalgia memories of overseas Chinese with the help of GIS methods. The results show that: 1) The nostalgia memories of overseas Chinese show the characteristic of obvious spatial differentiation, and are highly coupled with the distribution of river basins, mountains and seas, dialect areas, belief circles, and traditional settlements. Specifically, the nostalgia memory intensity of overseas Chinese in southeast Fujian is relatively high, and that of overseas Chinese in Xiamen is the highest. 2) From the perspective of influencing factors, education level, frequency of returning home, emotional attachment to the hometown of overseas Chinese, economic development of the hometown of overseas Chinese, and network publicity effect are significantly positively related to the nostalgia memory intensity, while the years of leaving home, and the level of material civilization of the residence are significantly negatively related to the nostalgia memory intensity.

Rurality is the attraction of rural tourism. In the context of rural revitalization, rurality performance can effectively reflect the fundamentals of rural tourism development and become a point of urgent concern for the development of rural tourist destination. Taking 60 rural tourism demonstration counties in the Yangtze River Delta region (YRD) as the research area, this study constructed a evaluation system for the rurality of rural tourism destination, explored the spatiotemporal differentiation pattern and evolutionary trend of the rurality level in 2010-2020, and analyzed its influencing factors and spatial heterogeneity. The results show that: 1) From 2010 to 2020, the overall level of rurality in rural tourism destinations in the Yangtze River Delta region showed a declining trend, with a spatial distribution characterized by a "core-periphery" pattern. Rurallity were relatively low in urban agglomerations and areas near provincial capitals and large cities, gradually increasing toward the periphery of the urban agglomerations. 2) The Moran's index for rurality in the study area were consistently positive, while the Z-scores of the General G statistic were negative, indicating significant spatial agglomeration characterized by a predominance of low-value clustering. 3) Hot spots were primarily concentrated in western Anhui, southern Anhui, and southern Zhejiang, exhibiting a distinct expansion trend. Conversely, cold spots were mainly located in Shanghai and the adjacent southern Jiangsu and eastern Zhejiang, with sub-cold spots distributed along the periphery of these cold spot areas. 4) Topographic condition, economic structure, agricultural development, and tourism development exerted significant effects on rurality with spatial heterogeneity.

The resilience assessment of intangible cultural heritage (ICH) landscapes in traditional villages serves as a critical approach to promote the protection of ICH landscapes alongside sustainable tourism development. Based on defining the concept of ICH landscape resilience, this study integrates theoretical, objective, and empirical analyses to construct a theoretical framework of "ICH landscape and evolutionary resilience", establishes an assessment system for evaluating the resilience of ICH landscapes in traditional villages, and proposes a grading standard for resilience evaluation. Taking the Dong ethnic choral songs of the first to third batches of traditional villages in Qiandongnan Miao and Dong Autonomous Prefecture (Qiandongnan Prefecture for short) as the case study, it applies the multi-dactor comprehensive evaluation method to measure its resilience level, analyze its influencing factors and mechanisms, and propose strategies for enhancing the of ICH landscape resilience. Empirical findings indicate that: 1) The overall resilience level of traditional villages of Dong ethnic group in Qiandongnan Prefecture are relatively low, with significant differences among counties, and it decreases from the center of Liping County to the surrounding areas. Among the three dimensions of ICH landscape resilience, the resistance dimension is the highest, followed by the reorganization capacity dimension, and the regulatory capacity dimension is the lowest. 2) The ICH landscape resilience in traditional villages is the result of the combined effects of four factors: nature, livelihood, institution, and awareness. Nature serves as the foundation, livelihood as the driving force, institution as the guarantee, and awareness as the regulator. The four factors complement and permeate each other. 3) Traditional villages of Dong ethnic group in Qiandongnan Prefecture can be categorized into three types: consolidated and stable type, adaptive and adjusting type, transformative and reorganizing type. The strategies for enhancing their resilience are as follows: consolidating the natural foundation and strengthening the dependent environment, improving institutional safeguards and expanding livelihood methods, fostering a sense of responsibility for the innovation of intangible cultural heritage, and guiding the collaborative development of various types of villages.