The coupling and coordination of high-quality development of social security and regional economy is of great significance to promote the new journey of Chinese modernization. Based on panel data from 30 provinces in China from 2013 to 2022, this article explores the spatiotemporal pattern, dynamic evolution, regional differences, and driving factors of the coupling coordination degree between high-quality development of social security and regional economy. The research finds that: (1) The coupling coordination degree of the whole country and the three regions show an upward trend, but there is significant spatial differentiation, showing a development trend of high in the east and low in the west. (2) The coupling coordination level has the characteristic of “club convergence”, which makes it difficult to achieve leapfrog development in the short term. After considering spatial factors, coupling coordination degree has a “spatial spillover” effect. (3) The spatial differences in coupling coordination degree are showing a convergence trend, and regional differences are the main cause of coupling coordination degree differences. (4) The level of urbanization, technological innovation, and fiscal decentralization have positive direct effects and negative spatial spillover effects on the coupling coordination degree, while the level of finance, education, and information have positive direct effects and positive spatial spillover effects.

By introducing the complex adaptive systems (CAS) theory, this study explores the mechanism of the integration between the digital economy and the cultural and tourism industry, and constructs an indicator system. Based on provincial panel data from 1998 to 2023, this research employs the coupling coordination degree model, Dagum Gini coefficient, and Geodetector to investigate the regional disparities in the integration of the digital economy and the cultural and tourism industry, as well as their underlying causes. The research findings indicate that from 1998 to 2023, the integration level of digital economy and cultural tourism industry shows an overall upward trend, yet remains at an early stage. As the integration level steadily rises, the development disparities among provinces have gradually tended to balance out. Inter-regional differences constitute the primary source of uneven integration development, but these differences are gradually narrowing. Intra-regional differences have a relatively minor impact on the integration level, exhibiting a pattern of “in order of Eastern region, Western region, Northeast region and Central region from large to small”. Policy support, tourism enterprises, digital infrastructure construction, and technological innovation are the core driving forces propelling the integrated development of the digital economy and the cultural and tourism industry.

Based on the panel data of 218 prefecture level and above cities in 22 urban agglomerations in China from 2011 to 2021, this paper measures and empirically analyzes the impact and mechanism between financial agglomeration, economic resilience and high-quality linkage development of urban agglomerations, and concludes that: (1) The high-quality linkage effect of urban agglomerations presents significant regional heterogeneity, roughly showing a spatial differentiation pattern that gradually decreases from southeast to northwest. (2) Financial agglomeration can significantly promote high-quality linkage development of urban agglomerations. (3) Financial agglomeration can facilitate high-quality linkage development of urban agglomerations by enhancing economic resilience, with the strengthening effect of economic resilience resistance and recovery being significantly higher than regulatory power. (4) The financial agglomeration of multi-core urban agglomerations and developed urban agglomerations has a stronger promoting effect on the high-quality linkage development of urban agglomerations than that of single core urban agglomerations and underdeveloped urban agglomerations. (5) Financial agglomeration and economic resilience can both improve the high-quality linkage development of urban agglomerations in space.

This paper makes an empirical analysis of the dynamic evolution trend and obstacle factors of the coupling coordination degree of science and technology innovation, coordinated development and green ecology in the Beijing-Tianjin-Hebei region from 2011 to 2022 with the model of coupling coordination degree model and obstacle degree model. The results showed that: Firstly, the evaluation indices of the three systems in the Beijing-Tianjin-Hebei region were significantly improved during the study period, and showed obvious regional disparities, with Beijing in the lead. Secondly, the overall development of the coupling and coordination level in the Beijing-Tianjin-Hebei region was good, with Beijing in the lead, followed by Tianjin, and Hebei lagging behind the most in terms of coupling and coordination development. Thirdly, insufficient authorization of patent applications for inventions, low investment in industrial pollution control as a proportion of regional GDP, and low turnover in the technology market were all major obstacles to the coupling and coordination of the Beijing-Tianjin-Hebei region.

At present, global value chains have entered a period of deep restructuring. As the region with the highest degree of integration in the global value chain, the RCEP region has become a key engine for promoting Asia-Pacific economic integration and the steady and long-term development of the world economy. Based on the OECD World Input-Output Table, this paper constructs the RCEP regional value chain network with the help of WWZ decomposition method and analyses the evolution trend of the network structure characteristics, and then empirically examines the endogenous mechanism influencing the restructuring of the RCEP regional value chain network by using the time-indexed stochastic graph model. The results show that: (1) The RCEP regional value chain network has the characteristics of a “small world”, and the connections and cooperation among countries in the region are becoming increasingly close. (2) The reconstruction trend of the RCEP regional value chain network has evolved from dispersion to concentration, and from multi-core to single-core. The core-sub-core-edge structure characteristics have become increasingly obvious, and the network has gradually shown a new pattern of “one superpower and multiple strong powers”. (3) RCEP regional value chain network reconstruction is influenced by endogenous mechanisms such as reciprocity effect, multiple connectivity effect, preference attachment effect, etc., and shows time-dependent stability.

From the perspective of “flow space”, the change of regional spatial organization form promotes the transformation of urban system to “network”. However, most of the existing studies focus on the national or urban agglomeration perspective, and the intercity network pattern in Central China is still unclear. Based on the construction of innovation cooperation, enterprise association and traffic connection, this paper uses social network analysis method to make a comprehensive and comparative analysis of the network spatial structure characteristics of 80 cities at the prefecture level and above in Central China, and analyzes its influencing factors by using MRQAP regression model. The results show that: (1) The urban network in Central China presents the characteristics of multi-center regional agglomeration, forming a “triangular” backbone network around Changsha, Wuhan, Zhengzhou and Hefei, and the distribution of inter-city connection intensity is characterized by “dense in the east and sparse in the west”. (2) The regional community structure presents 5 or 6 communities, whose distribution tends to be consistent with the geographical structure of the administrative region, the “core-edge” feature is significant. The boundary barrier effect of multi-flow network intercity factor flow is obvious, and the effect of inter-provincial development needs to be improved. (3) The multi-dimensional proximity and inter-city development gap have a good ability to explain the formation of urban network spatial structure. Organizational proximity, institutional proximity and innovation gap among cities are the core factors driving the formation of urban network in Central China. Furthermore, industrial proximity and economic size gap have great influence on the heterogeneous structure of multi-dimensional network.

Based on the panel data of the Central Plains Urban Agglomeration from 2013 to 2022, this study constructs an evaluation system for urban resilience indicators and conducts alpha convergence tests to explore the comprehensive resilience of the Central Plains Urban Agglomeration cities and the spatiotemporal differentiation characteristics of resilience in each subsystem of urban resilience. Using a panel mixed effects regression model, the reasons for the formation of resilience in the Central Plains Urban Agglomeration cities are revealed. The results show that: (1) The comprehensive resilience values of most cities in the Central Plains Urban Agglomeration are at a medium level, and the number of cities with high resilience values is relatively small. Moderate resilience cities and low resilience cities are distributed in a “center periphery” pattern with Zhengzhou as the center. (2) The overall trend of the alpha convergence of the comprehensive resilience values of the Central Plains Urban Agglomeration cities is decreasing, indicating that the resilience values of each city in the Central Plains Urban Agglomeration are tending towards a balanced development trend. (3) Financial scale, market capacity, and technological innovation have a positive promoting effect on improving urban resilience and are important factors driving the development of urban resilience.

This paper selects the relevant data of 66 prefecture level cities in the Yellow River Basin from 2013 to 2022, and constructs the urban flood risk evaluation index system in the Yellow River Basin from four aspects of the risk of disaster causing factors, the sensitivity of disaster pregnant environment, the vulnerability of disaster bearing bodies and the ability of disaster prevention and mitigation, and calculates the index weight by integrating critical entropy weight method. On this basis, the dynamic Bayesian network is constructed to dynamically evaluate the urban flood risk state probability in the Yellow River Basin, and the sensitivity analysis of the evaluation results is carried out. The spatial and temporal differences and dynamic evolution characteristics of urban flood risk in the Yellow River Basin are further revealed by GIS spatial analysis and gravity center standard deviation ellipse analysis. The results show that: (1) The probability of urban flood disaster in the Yellow River Basin in the high risk state continues to increase, and the probability of medium and high risk state is about 0.74. The risk probability of flood disaster in the relevant cities in the Yellow River Basin in the future is at a high level. (2) The main sensitive factors of urban flood risk in the Yellow River Basin are annual rainfall, annual rainstorm days, proportion of construction land, relative standard deviation of elevation, per capita GDP, population density, proportion of scientific and technological expenditure and density of drainage network. (3) The urban flood risk in the Yellow River Basin tends to spread from the middle reaches to the upper reaches and from the middle reaches to both ends of the lower reaches. Among them, the flood risk in the upstream cities is increasing, while the flood risk in the downstream cities is gathering in a large scale, and the overall pattern is “northwest\|southeast”.

By comprehensively utilising POI data and its associated attributes, this study employs residential neighbourhoods within Chongqing’s central urban districts as the fundamental research unit for 15-minute living circles. It quantitatively evaluates infrastructure service levels in Chongqing’s core metropolitan area based on spatial accessibility, spatial diversity, and spatial equilibrium, providing targeted references for Chongqing’s development of people-centred living circles. Findings indicate: Residential neighbourhoods with high accessibility to various infrastructure types are distributed along the riverfront; Neighbourhoods situated in political and economic centres typically exhibit higher facility diversity; Regarding spatial distribution equilibrium, cold and hot zones predominantly exhibit three structural patterns: centre-periphery, north-south differentiation, and polycentric distribution. Significant spatial imbalances are evident across multiple facility types, with infrastructure service levels closely linked to regional development intensity. Building upon this, the study analyses these issues from three perspectives: population distribution, transport networks, and urban development history and proposes optimisation recommendations.

The conflict between territorial development and protection is a core challenge in China’s territorial governance. Coordinating urban construction with the protection of arable land resources and ecological environment, and achieving sustainable development goals, are key to resolving spatial conflicts. Using Nanjing as a case study, this research employs mobile signaling data to delineate the scope of urban activities and monitor the intensity of urban construction land use. It introduces a method for monitoring the internal vitality of urban construction land from the perspective of the “human-land” relationship. Furthermore, with a focus on spatial utilization intensity, the study enhances the FLUS model and develops four scenarios: Natural development, economic priority, ecological protection, and farmland conservation. Based on the balance between spatial development and protection, urban development boundaries (UGB) are established. The study concludes that under the scenarios of natural development, economic priority, ecological protection, and farmland conservation, the expansion rate of construction land in Nanjing has significantly slowed down; By 2030, Nanjing is projected to embrace a city layout centered around the Yangtze River’s development, with the Jiangbei main urban area emerging as a key strategic focus of Nanjing’s future development; The central urban area of Nanjing is exhibiting continuously high-intensity activities, necessitating a focus on the development of industrial parks and new urban areas in future territorial planning. It is advised to dynamically understand the overall situation of regional construction land and to pursue a new path of urbanization development that prioritizes ecological conservation and intensive growth, guided by the principle of sustainable development.

Based on the panel data of 66 countries along the Belt and Road Initiative (BRI) from 2009 to 2018, this paper uses the double fixed effect model, dynamic panel model, instrumental variable model, and intermediary effect model to empirically demonstrate the poverty reduction effect of inbound tourism and its mechanism. The results show that: (1) In general, inbound tourism has a significant poverty reduction effect and has become a key factor in promoting the high-quality development of the BRI; (2) From the perspective of mechanism, economic growth, attracting foreign investment, and technological innovation are important paths for inbound tourism to exert poverty reduction effect; (3) From the perspective of heterogeneity, compared with Maritime Silk Road countries and developed countries, the poverty reduction of inbound tourism on the Land Silk Road countries and developing countries is more significant; (4) From further analysis, inbound tourism plays a positive role in the process of poverty alleviation in China. In conclusion, this paper enriches the research on the effect of tourism on poverty reduction from the perspective of inbound tourism, and provides reference for strengthening cultural exchanges and cooperation along the BRI and getting rid of poverty as soon as possible.

The synergistic development of high-speed rail (HSR) network and tourism linkages concerns the lifeblood of regional tourism integration development. Based on the intercity railroad network in the Yangtze River Delta (YRD) region, this paper took before and after the opening of the HSR (2007 and 2019) as the time nodes, applied the weighted average travel time and the modified gravity model to measure the railway transportation accessibility and the intensity of tourism economic linkages, and used the canonical coupling coordination model to assess the level of coupling coordination of the dual system of railway transportation and tourism. The results show that: (1) The spatio-temporal convergence effect brought by the opening of the HSR significantly enhanced rail accessibility and mitigated spatial disparities, with particularly pronounced optimization effects in northern Jiangsu, southern Zhejiang, and western Anhui; (2) Tourism economic linkages and their aggregate volume strengthened while centrality weakened, forming a “core-periphery” gradient tourism economic linkage network; (3) The coupling coordination degree between railway network accessibility and tourism economic linkages show an overall upward and balanced trend, though most cities remained relatively lagging within the tourism system. This study provides theoretical foundations and practical references for the layout of the YRD HSR network and tourism development planning.

The complex geographical conditions in the Three Gorges Region of the Yangtze River affect the accessibility of regional tourist attractions. In order to explore the accessibility of tourist attractions and its influencing factors, the network is used web-text analysis method is used to extract the travel data of Ma Honeycomb, Qunar.com and Ctrip.com, and an improved accessibility model of tourist attractions based on spatiotemporal utility method is adopted. The geographical weighted regression model analyzes the influencing factors and mechanisms of the accessibility of tourist attractions and points out the development direction. The results show that: (1) Tourism in the Three Gorges Region of the Yangtze River, the accessibility of scenic spots is significantly different, and the east and west sides are better than the middle; (2) The accessibility of tourist attractions is composed of attraction, play time and road network transit time, and the distance is the closest. The influence of the distance between cities and counties, the distance from the nearest water system, the number of surrounding scenic spots, slope, elevation and forest coverage rate; (3) Different accessibility types of scenic spots correspond to different development path.

Taking Lingyun County, Shanglin County and Tiandong County of Guangxi as examples, based on the perspective of poverty alleviation farmers, this article builds an evaluation system for effectively linking between the two, and uses a coupling and scheduling model to explore the current status and influence mechanism of the two. The results show that: (1) The coupling level of the two major systems of poverty alleviation and rural revitalization in the research area is at the level of barely coordination, and there are differences between different villages and different types of poverty-free households. (2) Based on the perspective of sustainable livelihood, the ownership of cultivated land, labor quality, material foundation, industrial assistance, political resources, and credit resources significantly affect the effectively linking between the poverty alleviation and rural revitalization. (3) Based on this, it is proposed that the effectively linking between the poverty alleviation and rural revitalization needs to focus on five aspects. First, breaking the resource constraints and revitalizing land resources; second, strengthening education guarantees to overcome talent restrictions; third, improving infrastructure with a focus on rural construction; fourth, implementing industrial assistance to refine the support structure; and fifth, addressing the shortfall in funds by increasing financial support.

Based on the constructed indicator system of rural industrial revitalization and ecological livability,this paper collects panel data from 30 provinces in China from 2006 to 2021,and adopts the CRITIC-entropy weight method,the Dagum Gini coefficient method,the Kernel estimation method,and the panel Tobit model to measure and analyze the coupling and coordination relationship between industrial revitalization and ecological livability in rural China,as well as its regional differences,spatial dynamic evolution characteristics,and the sources of difference factors.The study finds that the average level of the coupling degree of “industry-ecology” in the countryside is not high,with an average value of 0.629 0,which is at the primary coordination stage,and the time series evolution shows a steady growth in other years except for a slight drop in 2007 and 2021; the coupling degree of the eight regions shows the convergence of clubs,with the following characteristics that Gini coefficient of “industry-ecology” coupling and coordination degree of the countryside shows an irregular “M”-shaped fluctuation trend,and the Gini coefficients of each region have their own peculiarities,with inter-regional and hypervariable densities as the main sources of differences.The Gini coefficients of each region have their own peculiarities,and the sources of differences are mainly inter-regional and hyper-variable density; the absolute differences in the coupling degree of coordination between the whole country and the eight regions show a dynamic trend of gradual narrowing; and technology-driven,policy-driven,investment-driven,and population-driven have a positive effect on the coordinated development of rural “industry-ecology”.

Based on clarifying the connotation of the concept of adaptive transformation, this study takes oasis rural territories in arid regions as the research object, analyzes its system composition characteristics, summarizes development challenges, and constructs a path for the adaptive transformation control of the system. Main conclusions: (1) The adaptive transformation of rural territorial systems refers to the process and outcome by which the core system within the rural territory makes adjustments and responses to cope with the pressure of external environmental changes, involving a linkage between elements, structure, function, and resilience. Its concept encompasses content such as the object, subject, state of adaptation, and adaptive regulation. (2) Oasis rural territories in arid regions are complex systems linked by water relationships, whose coupling interactions exhibit a cyclical pattern of “compatibility-antagonism-compatibility-synergy-compatibility-antagonism...”. Due to differences in development stages and adaptive management, the system may exhibit three types of coupling effects: Sustained, stagnant, and declining. (3) Under the constraints of water resources and disturbances from agricultural activities, there are risks that threaten ecological security and the stability of the system in the development of oasis rural territories in arid regions, necessitating the construction of a path for the adaptive transformation control of the system. (4) Moderately reducing the scale of agriculture, reasonably transferring surplus labor, vigorously adjusting the water use structure, widely popularizing water-saving technologies, comprehensively deepening ecological construction, and effectively improving ecological functions are the current control paths for enhancing the resilience and sustainable development of oasis rural territories in arid regions.

Taking Longxi ethnic corridor, a typical multi-ethnic poverty alleviation region in Northwest China, as the research object, 233 traditional villages were selected as the research samples, and the methods of accessibility coefficient, nearest-neighbour index and GWR regression model were used to analyse the spatial distribution pattern of poverty alleviation traditional villages in Longxi ethnic corridor, the spatial differentiation of accessibility and its influencing factors. The results show that: (1)The average accessibility time of the poverty-stricken villages in the corridor is longer, the overall accessibility is poorer, 2/3 of the poverty-stricken villages’ accessibility is lower than the average value, and the difference in the accessibility level between villages is huge. (2)The spatial distribution of the accessibility of poverty-stricken villages is significantly different from north to south, the high accessibility of poverty-stricken villages is also the high concentration of the spatial distribution of poverty-stricken villages, and in the southern part of the Longxi ethnic corridor in the Gannan Plateau and the Longnan mountains, the poverty-stricken villages have formed an area of accessibility distribution of the valley of the contiguous area. (3)The spatial variation in accessibility is influenced by a number of factors, which in descending order of contribution are slope, population, road network density, township accessibility, river density, road accessibility, GDP, terrain relief, elevation, temperature. There is spatial heterogeneity in the contribution of different influencing factors to accessibility.

Based on clarifying the four functions of the new-type rural collective economy, this study constructs a theoretical framework by applying social systems theory and the sustainable livelihoods framework, and further proposes research hypotheses. Drawing on survey data from 43 village collectives and 1,024 farm households in Zhejiang Province, the study employs hierarchical Logit models to empirically investigate both the direct and cross-level interaction effects of these functions on the common prosperity of rural households. The key findings are as follows: (1) Village-level factors significantly explain variations in household prosperity, accounting for 64.03% of the total variance. (2) The economic function of the new rural collective economy plays a direct role in promoting common prosperity, primarily by enhancing farmers’ participation in industrial development rather than merely providing employment opportunities. (3) Cross-level mechanisms through which village collective economies contribute to common prosperity include the economic function’s enhancement of material capital and the cultural function’s support for social capital. Finally, policy recommendations are proposed to further improve the four key functions of the rural collective economy.

Measures the carbon emission efficiency of various cities in Henan Province from 2002 to 2021 based on the SBM model with non-desired outputs. By constructing a reasonable evaluation index system and using OLS regression, it explores the impact effect and mechanism of digital technology innovation on carbon emission efficiency. The results show that:(1)Digital technological innovation has significantly enhanced carbon emission efficiency. This conclusion remains valid after a series of robustness tests, including the use of instrumental variables, replacement of core explanatory variables, and adjustment of time windows.(2)Further mechanism tests reveal that the transformation of industrial structure and the leap in industrial production efficiency are the two core pathways through which digital technological innovation empowers carbon emission efficiency.(3)The impact of digital technology innovation on carbon emission efficiency shows regional heterogeneity, environmental regulation heterogeneity, and technological type heterogeneity. In the central, eastern, and southern regions of Henan Province, under higher levels of environmental regulation, and for digital technologies in the power industry, the effect of improving carbon emission efficiency is more significant. Finally, based on the empirical analysis, it proposes improvement paths such as building a “core-periphery” technology diffusion network and a “system-technology” coordinated transformation mechanism.

Based on the calculation of ecological carrying capacity from land use data between 1990 and 2020, this study employs exploratory spatiotemporal data analysis methods to examine the spatiotemporal evolution patterns of ecological carrying capacity in three major urban agglomerations of Zhejiang Province, encompassing 41 counties. The Tapio decoupling model is used to investigate the decoupling effect between ecological carrying capacity and economic growth. The results indicate: (1) The area of cropland, grassland, and water bodies decreased, while the area of forest and construction land increased in the three urban agglomerations, with the most significant reduction in cropland and the greatest increase in construction land; (2) The overall ecological carrying capacity showed a “V-shaped” pattern from 1990 to 2020, whereas the per capita ecological carrying capacity in each county (city) exhibited a slightly declining trend; (3) The local spatial structure of per capita ecological carrying capacity was relatively unstable in 13 counties, and 14 counties showed significant fluctuations in local spatial dependence direction, with a high probability of no transition in spatial association patterns, indicating strong path dependency; (4) The comprehensive decoupling index was mainly characterized by weak decoupling, but the number of counties with strong decoupling gradually increased, suggesting a positive trend in the synergy between economic growth and ecological sustainability.