This article embeds the input-output table between regions in China into the GTAPV11 database, constructs a global generalized equilibrium model embedded with 31 provinces in China, and simulates the impact of US tariffs on major economies and Chinese regions under the background of Trump 2.0. The research results indicate that: 1)The GDP of the United States has significantly declined, while China has demonstrated strong resilience to external shocks through its domestic circulation and diversified exports. Other economies such as the European Union, Japan, South Korea, and ASEAN have generally benefited from trade transfer effects. 2)The southeastern coastal regions (such as Guangdong and Shanghai) and inland areas with higher levels of vertical specialization have been greatly impacted, while other regions have not been significantly affected; 3) Although the imposition of tariffs by the United States has a protective effect on some key industries in the short term, it will have significant negative effects in the long run; Although China's key industries have been impacted in the short term, they are showing a long-term growth trend with the adjustment of the domestic supply chain. 4) Labor-intensive industries in various provinces have generally declined, but border provinces may benefit against the trend due to lower labor costs; Technology industries are more affected in export-oriented and processing trade provinces, while they show strong resilience in provinces with more complete industrial systems; The supply chain integration industry represented by the transportation equipment manufacturing industry has shown good shock resistance.

This study focuses on a distributed renewable electricity production-storage-consumption integrated system, conceptualized as the Zero-Carbon Energy Prosumerage System (ZEPS), comprehensively evaluates its economic and carbon reduction benefits through theoretical modeling and cost-benefit analysis. Key findings include: 1)when the levelized cost of electricity (LCOE) of ZEPS is lower than the electricity purchase price, the utility level of the energy users improves; 2)for a typical Chinese household, a 10 kW photovoltaic system paired with a 10 kW·h storage system yields an average net present value (NPV) of approximately 37802 CNY over 25 years, with an internal rate of return (IRR) of 6.08%, an LCOE of 0.28 CNY/kW·h, and an average annual CO₂ emissions reduction of 6.13 tons; 3)regional analysis reveals that, influenced by solar irradiation, electricity price levels, and regional electricity carbon emission factors, ZEPS exhibits higher economic and carbon reduction benefits in North and Northeast China (e.g. Shandong and Heilongjiang), while benefits are relatively lower in Southwest regions (e.g. Guizhou and Chongqing). Accordingly, it is recommended to leverage the dual economic and environmental value of ZEPS, promote pilot implementations in advantaged regions, and gradually expand deployment, thereby accelerating the release of diverse actors' transformation potential and enabling the zero-carbon transition through integrated system solution.

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

The Qinghai-Tibet Plateau region with many characteristics such as poor environment, fragile ecology and lagging development is a relatively special region in China in terms of ecological environment and socio-economic development. Based on the measurement of the development index of population, social economy and resource environment in the Qinghai-Tibet Plateau region by adopting the entropy method, this study comprehensively employs the coupling coordination model, Kernel density estimation, Dagum Gini coefficient and PVAR model to explore the spatio-temporal evolution characteristics of the coupling coordination relationship of the "population-social economy-resource and environment" complex system in the Qinghai-Tibet Plateau region and the interactive response relationship among subsystems. The results show that: 1) During the study period, the overall population and social economy evaluation index of the Qinghai-Tibet Plateau region showed an upward trend, while the evaluation index of resources and environment remained stable, and the population, social economy as well as resources and environment of most cities were in the middle and low level. 2) The coupling and mutual feedback effect of the composite system regarding "population-social economy-resource and environment" in Qinghai-Tibet Plateau region had become stronger; the cities with a higher degree of coupling coordination were mainly located in the eastern and southern regions, which were relatively low-lying and rich in water resources. 3) The social economy in the Qinghai-Tibet Plateau region had a positive impact on the population. The mutual effects between the social economy and the resource environment are initially positive, but they will gradually weaken until they turn negative.

Exploring the integrated development of culture, technology and tourism is a significant contemporary topic in cultural and tourism studies within the context of Chinese path to modernization. This paper defines the concept of the integration of culture, technology and tourism, proposing that their integration exhibits triple ternary relationships. It dynamically evolves through a cyclical feedback mechanism of "intelligent digital technology embedding—industrial ecosystem reconstruction—multi-dimensional integration and symbiosis". The integrated development promotes economic growth, constructs spiritual homelands, serves better life, showcases China's image, and enhances cross-civilization mutual learning. Building on this foundation, the study constructs a discourse system for the integrated development of culture, technology and tourism, characterized by the key concept of a "digital-intelligent cultural tourism symbiosis", new categories such as "new quality productive forces for cultural tourism" and "digital cultural tourism" and the expression framework of "audiovisual symbolization, flexible narrative strategies, audience-centered perspectives, and segmented storytelling". Finally, this paper proposes a "policy-industry-resource-ecosystem" realization pathway to facilitate high-quality development of culture, technology and tourism integration.

Intra-urban residential mobility represents a common and complex socio-spatial phenomenon, marked by the relocation of individuals or families within the same city, essentially constituting a re-selection of housing. Notably, education-led residential mobility is increasingly becoming one of the dominant modes of family migration within large cities. This study integrates Pierre Bourdieu's theory of fields into the analytical framework for examining education-led residential mobility. Utilizing data from 5,000 relocation questionnaires in Nanjing, it systematically explores the spatio-temporal characteristics, underlying mechanisms, and social effects of education-led residential mobility. The findings reveal: 1) Education-driven relocation forms a relatively independent and multi-agent social field characterized by competitiveness and capital transformation driven by capital (instrumental) and habitual (logical) practices; 2) Families involved in education-led residential mobility generally possess higher socio-economic attributes and engage in competition for educational resources through their capital's scale and structure, with economic capital being the primary driving factor, while class and cultural habits significantly contribute to their decisions; 3) This form of mobility highlights the supply-demand contradiction in quality compulsory education, leading to issues such as the capitalization of educational resources and gentrification of school districts, exacerbating resource allocation imbalances and social spatial segregation. The disparity in educational quality within cities is both a cause and a consequence of education-led residential mobility. Analyzing the field of education-led residential mobility is crucial for a systematic understanding of the deep-seated social mechanisms behind educational differentiation and mobility, providing theoretical support and practical guidance for government efforts aimed at achieving educational equity through optimizing field rules and instituting pathways for balanced inter-school development.

Peripheral regions represent both the extremities of geographical space and the borderland between national systems and governance. Affected by the "core-periphery" of regional development, Northeast China and Russia Far East have experienced peripheralization phenomena such as population decline and lagging economic development in their respective national spatial development. As a result, cross-border economic cooperation between the two regions has become increasingly important. This article takes Heilongjiang Province's investment in the Russian Far East as an example to explore the spatiotemporal evolution characteristics and influencing factors of overseas investment in peripheral regions. The results show that: 1) From 2005 to 2021, the investment flow of Heilongjiang Province to Russia fluctuated significantly, and the proportion of investment in Russia to foreign investment varied greatly from year to year. The majority of investors were private enterprises, and greenfield investment was the predominant mode; 2) The cooperative parks invested by Heilongjiang Province in the Russian Far East are mainly concentrated in several Russian oblasts and regions adjacent to China, with industries mainly focused on processing and manufacturing, resource development, and agricultural production. Large scale investment projects are mostly located in the border areas between China and Russia, with a small amount extending to the peripheral areas of the Far East, covering areas such as oil, mineral development, and infrastructure construction; 3) In terms of investment timing, there were relatively few investments from 2002 to 2005, and the funds mainly came from Mudanjiang City; The number of investments increased significantly from 2006 to 2011, and the investment entities gradually expanded from border cities to the hinterland of Heilongjiang Province; The investment heat continued from 2012 to 2016, with the Jewish Autonomous Oblast and Amur Oblast becoming emerging regions of concern for investors; The number of parks and projects has decreased from 2017 to 2021, but peripheral areas such as Sakha Republic and Sakhalin Oblast have begun to receive investment; 4)The investment spatial pattern of Heilongjiang Province in the Russian Far East is mainly influenced by factors such as geopolitical relations, policy systems, cross-border social capital, and spatial infrastructure, which interweave and affect its evolution process. This study contributes to a deeper understanding of investment cooperation in Sino-Russian border areas and provides both theoretical insights and empirical evidence for reseach on overseas investment in peripheral regions.

The sustainability of rural sports-themed Internet-famous tourism destinations has become a major issue in both sports and tourism. Taking the "Village Super League" in Guizhou as a case study, this paper explores the long-term popularity mechanism of the "Village Super League" based on the modified diamond model theoretical framework, and conducts an empirical analysis using the methods of structural equation modeling (SEM) and importance-performance analysis (IPA). The findings reveal that: 1) The overall sustainability level of "Village Super League" in Guizhou is relatively high. Scores of three indexes are prominently high, which are the active public participation, the potential for continued popularity, and the organizing committee's capacity for sustained operations. 2) The government, production factors, demand conditions, related and supporting industries, and strategy are all core factors in the modified diamond model. These factors interact positively with each other and are significantly related to the sustainability of the "Village Super League", jointly forming a dynamic mechanism for the long-term popularity of the "Village Super League" in Guizhou. 3) The sustainable development advantages of the "Village Super League" in Guizhou are concentrated in 14 factors such as live atmosphere, local villagers' participation, and government support. Six factors requiring urgent improvement include sufficient volunteers, local transportation convenience, tourists' access to public tourism information, local accommodation experience, the completeness and adequacy of local public facilities, and unified management by the organizing committee. Six factors that need to be gradually promoted for the sustainability of the "Village Super League" include "the network traffic and popularity brought by celebrity participation, local cultural tourism products, local tourism specialty goods, and competition venue conditions". The participation of "various food teams" among people from all walks of life in the maintenance area has potential value. Finally, it provides corresponding policy recommendations.

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

In the pursuit of common prosperity, rural tourism has been entrusted with multiple missions, including activating resources, promoting industrial development, and enabling benefit-sharing. As a fundamental institutional arrangement, the structure of property rights plays a decisive role in resource allocation, equitable distribution, and governance capacity. This paper adopts a tripartite analytical framework of "State-Market-Community" to examine the structural dilemmas in the institutional practices of property rights over rural tourism attractions and how they constrain the pathways toward common prosperity. The study finds that: national policies, under multi-objective directives, suffer from a mismatch of governance tools, and the accumulation of project-based interventions exacerbates spatial inequality and ownership ambiguity; market mechanisms reconstruct governance structures and income distribution through property capitalization and contract-locking effects, further weakening community agency; and the originally embedded property regimes—anchored in local identity and organizational networks—are becoming destabilized due to factor outflows, organizational hollowing, and fractured benefit-sharing mechanisms. The paper advocates for an adaptive property rights regime based on "institutional embeddedness-collaborative governance-collective empowerment," aiming to enhance institutional legitimacy and co-benefit mechanisms, and to provide structural and practical pathways for achieving common prosperity through rural tourism.

Regional factor market integration is a key driver for unleashing China's economic growth potential and is crucial for facilitating domestic circulation. Using the price method to measure inter-provincial market integration indices from 2010 to 2022, and based on the supply chain information disclosure data of A-share main board listed companies on the Shanghai and Shenzhen stock exchanges, this paper employs fixed effects models and Heckman two-stage models to empirically examine the impact of regional factor market integration on corporate supply chain information disclosure. The findings reveal that: 1) Regional factor market integration significantly promotes corporate supply chain information disclosure. For each unit increase in the market integration index, the number of suppliers and customers disclosed by enterprises increases by approximately 0.9, and the proportion of disclosed transaction amounts increases by about 0.03%. 2) Mechanism tests indicate that market integration operates through two primary channels: one is to reduce the demand uncertainty faced by firms and mitigate the "bullwhip effect" of supply chain; the other is to increase the customer concentration and strengthen major customers' demands for supply chain transparency. 3) Heterogeneity analysis shows that this promotion effect is more pronounced in state-owned enterprises, eastern regions, and areas with high local government intervention (facing greater economic growth pressure). These findings provide micro-level evidence for deepening of factor market reforms and the acceleration of building a unified national market.

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

Based on the inter-provincial panel data of 30 provinces (autonomous regions and municipalities directly under the Central Government) in China from 2013 to 2022, this article empirically examines the impact of digital finance on the new quality productive forces of agriculture by using the double fixed effects model, threshold effect model and spatial Durbin model. The research results show that: 1) During the research period, the development level of agricultural new quality productive forces in China has rapidly improved, but the overall development is uneven, showing a distribution trend of "high in the east and low in the west", and the differences in the development level of new quality agricultural productive forces in various regions of China have become solidified. Digital finance can promote the improvement of new quality productive forces in agriculture, but its promoting effect shows regional heterogeneity. In terms of the effect, the regional ranking of the promotion effect of digital finance on the new quality productive forces of agriculture is as follows: central region > northeastern region > eastern region > Western region. The threshold effect indicates that the promoting effect of digital finance on the new quality productive forces of agriculture will show an accelerating downward trend as the level of urbanization increases. 2) The impact of digital finance on the new quality productive forces of agriculture has a spatial spillover effect, that is, digital finance significantly promotes the improvement of the new quality productive forces level of agriculture in this region and neighboring regions.

In recent years, with the advances in new economic geography theory, the role of geographical distance between different economies has received increasing attention. This paper takes the reform of the relocation of prefecture-level city government offices in China between 2008 and 2023 as a policy shock, and constructs a difference-in-differences model from the perspective of geographical distance between upper and lower-level governments to evaluate the carbon reduction effects of government proximity. The empirical results show that: 1) Proximity to prefecture-level city governments significantly reduces carbon emissions at the county level, and this effect gradually strengthens and stabilizes over time. 2) Mechanism analysis indicates that the enhanced environmental regulation by prefecture-level city governments and improved industrial adjustment capacity at the county level, brought about by geographical proximity, are important reasons for the carbon reduction effect in neighboring counties. 3) Further analysis reveals that government proximity not only facilitates carbon reduction but also concurrently mitigates regional environmental pollutant emissions, achieving synergistic effects in pollution and carbon reduction. 4）Moreover, government relocation events demonstrate a positive impact on regional carbon mitigation, contributing to an overall decline in county-level carbon emissions.

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

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

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

From the perspective of urban networks, this paper constructs a theoretical framework and measurement index system for the internal cohesion support and external driving force of growth poles, unified at a comprehensive level and influenced by the internal spatial organizational structure of the growth pole. The Chengdu-Chongqing economic circle in the Chengdu-Chongqing region is considered a key assessment object for China's major economic growth pole. Utilizing nationwide urban network data from 2000 to 2020 based on connections with China's top 1000 listed companies and 66,300 enterprises, the research quantitatively measures and comparatively analyzes its role, position, and evolution in the national urban network and the top ten growth poles. The results show that: 1) Under dual-core leadership, the breadth and depth of external connections, along with their radiating driving ability, continue to strengthen, gradually participating in shaping and expanding China's diamond-shaped multipolar network spatial development pattern. 2) Despite surpassing the Shandong Peninsula city cluster in comprehensive level ranking during the observation period and ranking fourth among the top ten growth poles nationwide, significant gaps persist in internal cohesion, external connectivity, and comprehensive levels compared to the existing three national-level growth poles. 3) Imbalances in internal spatial organizational structures, such as low network density, city polarization, and low poly-centrality, pose challenges to the development of small and medium-sized cities, limiting the further enhancement of comprehensive levels. In the future, concerted efforts should focus on optimizing structure, strengthening internal cohesion, and expanding external connections to effectively transform the Chengdu-Chongqing economic circle into a growth pole with national influence and a new source of momentum.

Building a systematic and continuous heritage corridor is a key step in promoting the comprehensive protection and rational utilization of cultural heritage. Taking the Guanlong Ancient Trail linear cultural heritage as the research object, this study explores the characteristics of heritage nodes and network attributes through cognitive network structure analysis, and identifies potential heritage corridors using the minimum cumulative resistance model and circuit theory model in conjunction with heritage clusters as heritage sources. By integrating and optimizing potential corridors based on factors such as heritage centrality evaluation, actual transportation conditions, and corridor relative resistance, this study constructs the cultural heritage system of the Guanlong Ancient Trail. The results indicate that: 1) The heritage network of the ancient Guanlong Ancient Trail linear cultural heritage presents a spatial pattern of "multiple cores and clustered groups". 2) The application of the "kernel density estimation + block model" collaborative division of heritage source areas can effectively enhance the scientific nature of the division of heritage source areas. 3) The potential heritage corridors in the study area were manually corrected, and after optimization, a three-level corridor system of "core-main-secondary" was constructed. Based on this, the development and application strategies of the cultural heritage corridor system were proposed, with the aim of providing reference and inspiration for the overall protection and coordinated development of linear cultural heritage in the northwest region and even the whole country.

The article is based on data from 2285 national key leading enterprises in China's agricultural industrialization. It uses kernel density estimation, spatial autocorrelation analysis, optimal parameter geographic detector, and multi-scale geographic weighted regression (MGWR) models to explore the spatial pattern, influencing factors, and spatial heterogeneity of the distribution of national key leading enterprises in China's agricultural industrialization. The results show that: 1) National key leading enterprises in China's agricultural industrialization generally exhibit an "east-heavy, west-light" spatial distribution pattern, with a density that displays a "tripolar, multi-core" characteristic. 2) Natural geographical environment, economic development environment, technological innovation capabilities, transportation location conditions, and policy support all jointly influence the distribution of key national agricultural industrialization enterprises, and there are significant differences in the explanatory power of different influencing factors. 3) The dominant factors influencing the distribution of key national leading enterprises in China's agricultural industrialization exhibit different scale effects. The level of openness to the outside world is a global variable, while labor costs, the number of patent applications, industrial structure, labor force size, and government-business relations are local variables. 4) The distribution of national key leading enterprises in China's agricultural industrialization exhibits spatial heterogeneity in influencing factors. Among these, the Northeast region shows high values for the impacts of industrial structure, labor costs, and labor scale. The influence of openness to the outside world presents an east-west spatial differentiation pattern. The Pearl River Delta urban cluster demonstrates high values for the impact of patent application volume, while western regions exhibit high values for the influence of government-business relations.

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

This paper offers a comprehensive review of literature related to functional zones and administrative districts, spanning the period from 1993 to 2023. It examines these subjects from various angles including policy evolution, historical development, and international experience. The merger of research on functional zones and administrative districts aligns not only with strategic national deployment but also addresses practical governance requirements. On a broad scale, the focus of this research has been on model selection, functional positioning, and regional correlation effects, with the aim of constructing a more rational and efficient regional governance framework. Meanwhile, at medium and micro levels, empirical analysis and comparative research methods are employed to explore innovative paths for spatial integration, a burgeoning area of research. The interaction and reform of institutional mechanisms between functional zones and administrative districts directly impact the effectiveness of spatial governance and the degree of coordinated development. Future research should delve deeper into defining the collaborative paths and mechanisms for different kinds of functional zones and administrative districts, intensify the study of spatial integration and planning control, drive modernization of spatial governance via institutional innovation, and foster the process of coordinated development.