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.

Based on resilience theory, an evaluation index system for innovation resilience is constructed from three dimensions: resistance, recovery, and regeneration and is utilized to measure the innovation resilience levels of 30 provincial administrative regions in China from 2011 to 2022. Furthermore, methods such as entropy method, Kernel density estimation, Dagum Gini coefficient and its decomposition, spatial Markov chain, and spatial Durbin model are employed to investigate the spatial and temporal differentiation characteristics and influencing factors of China’s regional innovation resilience levels. The results indicate the following: (1) China’s regional innovation resilience exhibits a steady upward trend with fluctuations over time, indicating considerable room for improvement in the future. (2) Significant disparities exist in the level of regional innovation resilience in terms of spatial dimensions, presenting a non-equilibrium pattern of “high in the east and low in the west” with pronounced spatial clustering characteristics. (3) The overall differences in innovation resilience levels are continuously expanding, with inter-regional differences being the primary source of overall variation, especially between the eastern and western regions. (4) The transition of innovation resilience levels demonstrates stability, accompanied by the phenomenon of “club convergence”. (5) Economic development level, digital infrastructure, industrial structure upgrading, and innovation and entrepreneurship activity are significant factors influencing the level of regional innovation resilience in China.

Based on panel data from 30 provinces in China from 2010 to 2022, this article explores the relationship between new quality productivity and talent agglomeration using PVAR and BCC-O models. The results show that: (1) The level of new quality productivity and talent agglomeration in China have been increasing year by year, and the spatial distribution shows a stepwise decreasing trend from east to west. Talent aggregation has a positive effect on the improvement of new quality productivity, and the improvement of new quality productivity also drives talent aggregation, and the short-term strengthening effect of talent aggregation is stronger. (2) The new quality productivity is affected by its own impact, and the “Matthew effect” of the development of new quality productivity is obvious, maintaining a long-term non negative response to talent aggregation. (3) The strengthening effect of talent aggregation under the “siphon” effect is enhanced; In the very short term, talent agglomeration has a positive impact on new quality productivity, but later on, the impact of talent agglomeration on new quality productivity is not positive, which may be caused by the imbalance of talent structure and regional development, industrial structure mismatch, talent internal consumption and other problems. Therefore, it is necessary to firmly establish the strategic position of talent aggregation leading new quality productivity, adjust the talent structure based on regional industrial and technological structure, appropriately guide talent aggregation, and develop scientific and technological productivity, green productivity, and digital productivity through targeted efforts to build a modern economic system, innovate production technology and methods, and explore digital development models.

The comprehensive evaluation index system for the new quality productivity in construction industry was constructed from the three dimensions of new quality productivity. Based on the data of 30 provinces in China from 2016 to 2022, methods such as the entropy weight-TOPSIS, Dagum Gini coefficient, Kernel density, and Markov chain were employed to deeply discuss the spatiotemporal variation, regional differences, and transition characteristics of the development level of new quality productivity in China’s construction industry. The results show that: (1) The development level of new quality productivity in China’s construction industry is generally on the rise, but there is also an obvious imbalance between the four regions, forming a development pattern of “high in the east and low in the west”. (2) Inter-regional disparities are the primary cause for the disparities in the development level of new quality productivity in China’s construction industry, and there are significant inter-regional differences between the eastern and northeastern, as well as the western regions. (3) There is a significant spatial spillover effect in the development level of new quality productivity in the construction industry, and the improvement of neighboring provinces’ development levels can increase the probability of the province’s upward transition to a higher level.

Based on cross-sectional data from the Xinyang Revolutionary Base Area in the Dabie Mountains in 2021 and time series data from Xinxian County from 2009 to 2021, using methods such as OLS, ARDL, and VAR model, combined with the development foundation of the Xinyang Revolutionary Base Area in the Dabie Mountains and rural revitalization in Xinxian County, the article explores the effect of new quality productivity on rural revitalization, in order to provide development ideas for the revitalization of underdeveloped revolutionary base areas. The results indicate that: (1) The essence of new quality productivity is advanced productivity, which drives rural industrial revitalization, talent revitalization, ecological revitalization, cultural revitalization, and organizational revitalization. (2) There are significant regional differences in the level of new quality productivity and rural revitalization in the revolutionary old area of Xinyang in the Dabie Mountains. The level of rural revitalization and development of new quality productivity in Xinxian County is in the low range of the revolutionary old area of Xinyang in the Dabie Mountains, and it is necessary to accelerate the cultivation of new quality productivity and rural revitalization. (3) The new quality productivity in Xinxian can effectively promote rural revitalization, and rural revitalization can also provide a good foundation for the development of new quality productivity. The self strengthening effect of new quality productivity and rural revitalization is obvious, promoting the development of new quality productivity and accelerating the pace of rural revitalization in Xinxian. Therefore, it is necessary to cultivate new quality productive forces, promote the deep transformation and upgrading of rural industries, achieve the alignment between rural talents and regional development, give full play to the ecological characteristics of rural mountainous areas, promote rural red culture, and strengthen rural organizations.

Adhering to the principle that the quality and quantity of the development of the catering industry are equally important, the development level index of the catering industry was constructed according to the number of reviews and comprehensive scores of registered merchants on Meituan.com. The spatial distribution pattern of the catering industry in urban area in Shanghai and its influencing factors were analyzed by using kernel density analysis , OLS and GWR models. The results show that: (1) The spatial distribution of catering industry in urban area in Shanghai is extremely unbalanced, showing the characteristics of “core-periphery” circle distribution and extending along the road; (2) The agglomeration of different types of catering industry is quite different. The local Jiangsu and Zhejiang catering industry and foreign traditional local cuisine belong to “single-core agglomeration”, while the international catering industry is “dual-core linkage”, and the leisure snacks and fast food show the characteristics of “multi-core group”. (3) The influence factors and intensity of different types of catering industry have obvious spatial heterogeneity. Office buildings, commercial centers and population have a positive guiding effect on the development of the catering industry, while the road network and 3A hospitals have a reverse inhibiting effect.

Grounded in the connotation of high-quality development and guided by the new development paradigm, a five-dimensional evaluation index system for assessing the high-quality development of regional tourism was constructed. By employing the geographical detector method, the analytic hierarchy process (AHP), and fuzzy mathematics, an evaluation model was established. Taking Fenghuang Ancient Town as a case study, the research evaluated the high-quality development level of its tourism industry and identified the primary driving factors. The findings indicated that: ① The overall tourism high-quality development of the ancient town of Fenghuang is at a high level, and decreases from the two sides of the Tuojiang River in the scenic area and its southern historical and cultural neighborhoods to the surrounding area; ② The spatial distribution of the level of high-quality development of the tourism of the ancient town of Fenghuang is in high consistency with the zoning state of the protection of the ancient city; ③ The main driving factors of the five dimensions of high-quality tourism development in Fenghuang Ancient City are the innovative combination ability of tourism resources, tourist satisfaction, environmental quality, tourism openness and cultural transmission and inheritance. ④ The two dimensions of open development and innovative development have the greatest effect on the high-quality development of Fenghuang Ancient City tourism.

Over the past two decades, the study of migrants’ leisure has undergone a notable transition from a focus on “internal structures” to an examination of “external opportunities or constraints.” With migrants’ deepening and diversifying social participation in local cities, their leisure activities and the ensuing social interactions have emerged as significant focal points for geographers investigating migrants’ social integration. To elucidate the trajectory of geographic research on migrants’ leisure, this study employs bibliometric analysis in conjunction with a thorough review of existing literature spanning 1999 to 2023. Through this analysis, it delves into the evolutionary lineage, developmental characteristics, and thematic scope of urban migrants’ leisure both domestically and internationally, thereby constructing a comprehensive understanding of current research trends. Building upon this foundation, the study further organizes and analyzes existing literature on migrant leisure within the context of urban governance, examining four key themes: local public policy and diverse governance discourses, urban public space and infrastructure, social participation and cross-cultural interaction, and social capital and subjectivity negotiation. This endeavor aims not only to augment the existing corpus of research on domestic migration but also to provide practical insights into the contemporary demographic and spatial governance of Chinese cities.

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.

This study conducts a bibliometric analysis of 560 peer-reviewed articles (2003—2023) on China’s New International Land-Sea Trade Corridor from the CNKI database, utilizing CiteSpace visualization to identify key research trajectories, thematic clusters, and geographical implications. The results show that: (1) Since 2016, the research has entered a rapid growth stage, mainly in the fields of geography, transportation and logistics, and regional economy. (2) The Chinese Academy of Sciences, Beibu Gulf University, and Chongqing Jiaotong University are important research institutes. There are relatively few core authors and high-yielding authors in the research field. (3) Research hotspots and themes focus on “connotation cognition and construction path of the New International Land-Sea Trade Corridor” “international trade and trans-regional cooperation for ASEAN”“urban spatial connection network along the corridor”“regional economic connection and industrial development along the corridor” and “multimodal transport and logistics support along the corridor”. (4) In the future, the trade and geographical relations of countries and regions, the distribution of resources and industries, the construction of transportation systems, regional governance and cooperation, spatial system support and the assessment of social and economic effects should be focused on.

New quality productivity,as a new form that has emerged historically and logically under the continuous development of China’s economy and society,will play a breakthrough role in promoting the country’s progress. Conducting in-depth research on new quality productivity holds profound value and significance. Based on this,this paper constructs a relatively comprehensive evaluation index system for new quality productivity. Using the entropy-weighted TOPSIS method,it measures the development level of new quality productivity in China and analyzes the spatiotemporal evolution differences through kernel density,Dagum Gini coefficient,and other methods. Further,the obstacle degree model is employed to identify the barriers hindering the improvement of new quality productivity across regions in China. The findings reveal that: (1) Since 2008,the level of new quality productivity in China’s eastern,central,and western regions has shown an overall upward trend,though the growth rate is not significant. The eastern region far surpasses the central and western regions,with the central region generally outperforming the western region,but the difference between them is minor. (2) The overall level of new quality productivity in China can be categorized into three major groups:high,medium,and low. High-level new quality productivity regions primarily include Beijing,Shanghai,and Guangdong; medium-level regions comprise 19 areas; while low-level regions are mainly concentrated in the western and northeastern regions of China. (3) Digital productivity and technological productivity are key obstacles to the development of new quality productivity across regions in China. In recent years,the obstacle degree of green productivity has been continuously increasing,whereas the obstacle degrees of educational and political productivity rank lower and are not the primary factors constraining the development of new quality productivity in China.

Based on the data of 55 counties in Zhejiang Province from 2006 to 2021, this study analyzed the influence mechanism of high-speed rail (HSR) opening and tourism development on rural common prosperity by using the difference-in-difference model. Firstly, the results show that the HSR opening and tourism development significantly increase farmers’ income, narrow the regional income gap and urban-rural income gap. The interaction between HSR opening and tourism development has negative impact on rural common prosperity, indicating that HSR has a “corridor effect” on rural common prosperity in tourist destinations. Secondly, the mechanism analysis results indicate that the HSR and tourism development promote rural common prosperity by affecting tourism entrepreneurship and medical facilities. Moreover, it is found that there exists heterogeneity in the impact of HSR and tourism development on rural common prosperity at different levels of common prosperity. The opening of HSR has a comprehensive impact on rural common prosperity in central Zhejiang, with tourism development having the most significant positive impact on rural common prosperity in northern and southern Zhejiang. The impacts of HSR opening and tourism development on rural common prosperity in rural tourism demonstration counties are higher than that in non-rural tourism demonstration counties.

It was of practical significance and policy value for implementing national food security strategy to study grain production spatial and temporal pattern evolution and influence factors from three levels of grain, cereals and rations. Based on the panel data of grain, cereals and rations in 31 provinces of China from 2000 to 2022, this paper analyzed the evolution of the spatial and temporal pattern of grain production by applying the method of production concentration, gravity center statistics and spatial autocorrelation, and established a spatial econometric model to explore the factors affecting the evolution in the pattern. The results showed that: (1) The concentration of grain and cereals changed from high in south and low in north to high in north and low in south, and the concentration of rations production was concentrated in central and southern regions, and continued to increase in northeast China. (2) The center of gravity of grain, cereals and rations production moved to the northeast, with the relative orientation of grain to the west, cereals to the northeast, and rations to the south. (3) There were significant spatial autocorrelation and spatial spillover effects in the production of grains, cereals and rations. (4) The temporal and spatial pattern of grain, cereal and ration production were influenced by a variety of factors including the affected area, per capita GDP, fertilizer use, planting area, and agricultural fiscal spending. This paper proposes to optimize the distribution of grain production in accordance with regional grain production advantages, enhance the ability of agricultural science and technology to prevent and mitigate disasters, implement regional differential policies and develop more precise subsidy policies for grain, cereals and rations.

Based on big data from internet enterprises and field survey data, this study analyzes the spatial dynamics and influencing factors of the exit of Taiwanese-invested enterprises from Chinese Mainland. The research findings are as follows:(1)The exits of Taiwanese enterprises are primarily concentrated in the eastern coastal areas, which coincide highly with regions of high entry rates.(2)By measuring the locational advantages and spatial stickiness of strategic coupling, it is evident that strategic coupling significantly impacts the exit of Taiwanese enterprises from the mainland. Between 2001 and 2021, the strategic coupling relationship between Taiwanese enterprises and the mainland evolved through phases of dependency, exchange, and absorptive coupling, with distinct exit rates observed in each phase. The exit rate was lowest during the absorptive coupling phase. Factors such as regional market size, infrastructure level, innovation environment, and institutional advantages play a critical role in reducing enterprise exits.(3)External shocks, such as the pandemic, have intensified the backward linkages of Taiwanese enterprises with local suppliers and increased their reliance on the mainland market, thereby enhancing spatial stickiness. By deepening cooperation with local enterprises, strengthening technological exchanges, and sharing resources, Taiwanese enterprises can shift their strategic coupling model, thereby enhancing their market adaptability on the mainland and reducing the likelihood of exiting to other regions. (4) The investment and exit of enterprises are affected by strategic choices, trade modes and industry characteristics: low-cost and export-oriented enterprises are more susceptible to the impact of external environment fluctuations and exit, while market-oriented and domestic sales enterprises are more stable in the long term. Labor-intensive enterprises exit quickly, capital-intensive cycle is long, technology-intensive rely on innovation, and are usually more market stickiness.

Taking the 16 national rural revitalization demonstration counties in ethnic areas as research objects, constructed an evaluation index system for the level of rural revitalization in ethnic areas and measured it using data envelopment analysis; on this basis, used fuzzy set qualitative comparative analysis (fsQCA) to conduct an in-depth analysis and exploration of tourism factors and paths for achieving rural revitalization in ethnic areas from a group perspective. The results show that: (1) The overall level of rural revitalization in the demonstration counties in ethnic areas is high, with the highest level of rural revitalization in Yufeng District of Liuzhou City, and the lowest level of rural revitalization in Bole City (1.177) and Qingtongxia City (1.125); (2) Individual tourism factors do not constitute the necessary conditions for the development of high-level rural revitalization, and the combination of multiple tourism factors can efficiently promote rural revitalization, and rural revitalization tourism paths vary, the study obtained a total of three representative rural revitalization tourism paths: vitality burst, resource-driven and location radiation; (3) The main factor that limits the development of rural tourism in ethnic areas lies in the lack of tourism location, under the absence of tourism location, even if there is economic income and financial support, it cannot bring efficient rural revitalization development.

Innovatively applying the standard deviation ellipse method of spatial statistics to empirically analyze the spatial agglomeration and co-agglomeration pattern characteristics of China’s strategic emerging industries as a whole and nine key areas from 2016 to 2022 through customized spatial agglomeration degree and co-agglomeration degree indices, and identifies and judges their agglomeration patterns and co-agglomeration patterns. The results show that China’s strategic emerging industries as a whole and nine key areas exhibit significant and differentiated spatial agglomeration characteristics. Among them, the emerging service industry is distributed most eastward, the new energy industry is distributed most westward, the new energy vehicle and smart vehicle industry is distributed most southward, and the aerospace industry is distributed most northward. At the same time, the overall strategic emerging industries and new energy industries in China are dispersed spatial clusters, and the other eight industries are centralized spatial clusters. In addition, key industrial sectors have demonstrated various spatial co-agglomeration patterns, with the new generation information technology industry, new materials industry, biotechnology industry, high-end equipment manufacturing industry, green environmental protection industry, and emerging service industry showing a higher degree of spatial co-agglomeration with other key sectors. In the future, can give full play to the dominant role of agglomeration economy that has been formed, further guide the flow of production factors and technologies to the core areas of strategic emerging industries and key fields, and strengthen the integration and cluster development of strategic emerging industries in key areas of spatial co-agglomeration according to local conditions.

Exploring the level and spatiotemporal differences of digitally empowered urban-rural logistics system development is of great significance for promoting high-quality logistics development across urban and rural areas. This study constructed an evaluation index system for digital empowerment in urban-rural logistics development from two dimensions: The overall logistics development level and the level of logistics digitalization. Based on data from 31 provinces in China from 2012 to 2022, employed comparative analysis, the entropy weight method, and a coupling coordination degree model to measure and analyze the development status. The results showed that, in terms of development dimensions, logistics capacity and digital investment were the key factors affecting urban-rural logistics development. Temporally, the comprehensive level of digital urban-rural logistics development increased from 0.083 5 in 2012 to 0.348 4 in 2022, yet it remains in an early stage of development. Regionally, significant disparities in industrial quality development between eastern and western China compared to the northeastern and central regions are the main reasons behind the unbalanced coupling and coordination of urban-rural logistics.

Taking traditional villages and intangible cultural heritage in Henan Province as research objects, this paper analyzes their spatial distribution characteristics by means of kernel density analysis, nearest neighbor index and standard deviation ellipse, and explores the influencing factors from the dimensions of natural environment and social and economic factors. The results show that:(1)The number of intangible cultural heritage in Henan Province was the highest in northern Henan Province and the lowest in western Henan Province. There is a big difference between different types of data, the performance category is the most, and the medical category is the least.(2)Traditional villages in Henan Province are not balanced among different cities, showing spatial aggregation and distribution, forming three core regions of northern Henan, central Henan and southern Henan. (3)The spatial aggregation degree of traditional villages in Henan Province is greater than that of intangible cultural heritage, and the spatial aggregation degree of different types of intangible cultural heritage first increases and then decreases.(4)Traditional villages and intangible heritage in Henan Province are distributed in areas with low elevation, slow slope and 3 km away from water systems.Population, economy and culture are the main factors affecting the spatial distribution. Traditional villages and intangible cultural heritage are affected by multiple natural factors and social and economic factors, which blend with each other and develop synergistically.

Regional scientific and technological innovation capability is an important guarantee for regional economic transformation and sustainable development. This study took Henan Province as the research area and used research methods including CV-RSR-ARIMA model, standard deviation ellipse model, and obstacle diagnosis model to conduct empirical research on the evaluation and spatiotemporal evolution of regional scientific and technological innovation capability in Henan Province. The results show that: (1) The overall regional scientific and technological innovation capacity of Henan Province shows a fluctuating upward trend, and the evaluation results of various cities indicate a certain regional differentiation pattern, and the ARIMA results indicate that the prediction period has a significant growth; (2) The spatiotemporal differentiation results show that the polarization effect of the dual core model of “one primary and one secondary” has changed to the diffusion and backhaul effect. The standard deviation ellipse on the whole has increased, and the center of gravity has moved from Zhengzhou to Xuchang, while the obstacle degree diagnosis results show that technology market transaction volume, number of patent authorizations, and sales revenue of new products for enterprises are the main obstacle factors; (3) Regional scientific and technological innovation capability is a comprehensive capability of a region with scientific and technological innovation, subsequent research should combine multi-source data to conduct in-depth research on regional scientific and technological innovation efficiency, spillover of scientific and technological output space, and factors affecting innovation capability.

Balancing the relationship between urban development and ecological environmental protection has become a significant issue in advancing the new urbanization process with county towns serving as important carriers. Using data from 2015 to 2021 at the county level in Ningxia as a sample, this study conducts a comprehensive measurement of both new urbanization and ecological environmental development. The Tapio decoupling elasticity model is applied, and factor analysis from the geographical detector model is introduced to explore the decoupling coordination between new urbanization and ecological environmental development in Ningxia as well as the driving factors. The findings are as follows: (1) Both new urbanization and ecological environmental development in Ningxia exhibit an overall growth trend, but there are significant regional disparities and asynchronous development between the two. (2) Overall, the relationship between the two presents fluctuating characteristics of decoupling and negative decoupling. In the process of new urbanization and ecological environmental development in Ningxia, county-level regions place more emphasis on urbanization development while relatively neglecting ecological environmental development. (3) Among the dominant factors determining the decoupling relationship between new urbanization and ecological environmental development, the ecological environmental system accounts for 60%, and its influencing factors rank higher overall, providing a stronger explanatory effect for the decoupling relationship. This indicates that ecological environmental development has a significant impact on the decoupling relationship between county-level new urbanization and ecological environmental protection.