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.

A resilient urban economic system under the complex economic situation has become an inevitable requirement for social and economic development, and the vigorous vitality of digital economy provides impetus for the enhancement of urban economic resilience. This study analyzes the spatio-temporal evolution process and characteristics of digital economy and urban economic resilience in China, tests the impact of digital economy on urban economic resilience, and further analyzes the time series evolution and structural of its impact. The results show that: 1) The level of urban economic resilience shows a multi-point scattered distribution, and there is a significant spatial differentiation between the north and the south. 2) The digital economy can significantly enhance the resilience of urban economy. 3) The structure analysist shows that digital innovation elements, digital industrialization and industrial digitalization have a great impact on urban economic resilience. The time series analysis shows that the enhancement effect of the improvement of the development level of digital economy on the resilience of urban economy is increasing year by year, among which the impact of digital industrialization, industrial digitalization and digital innovation factors on the resilience of urban economy also has an increasing time series analysis. According to the research conclusions, this paper puts forward relevant development suggestions.

This paper selects 88 counties in Guizhou Province as the research object and constructs a county tourism competitiveness evaluation index system covering four dimensions: development, resources, elements, and management. It measures the tourism competitiveness scores of each county using the entropy weight-TOPSIS method and systematically analyzes the spatiotemporal evolution characteristics of these scores. Based on the obstacle degree model, the main obstacle factors constraining the enhancement of county tourism competitiveness in Guizhou Province are further identified and analyzed. The results indicate that: 1) From 2014 to 2023, the overall competitiveness of county-level tourism in Guizhou Province has steadily improved, accompanied by a notable spatial agglomeration effect. However, the development gap between regions has widened, exhibiting a structural differentiation pattern characterized by "the strong becoming stronger and the weak becoming weaker". 2) The spatial distribution of tourism competitiveness across counties in Guizhou is markedly uneven. Counties with high competitiveness are mainly concentrated in economically developed and well-connected areas such as Guiyang, Zunyi, and Liupanshui, while remote mountainous and ethnic minority regions exhibit relatively weak competitiveness. 3) The core obstacles limiting the improvement of county tourism competitiveness include poor ecological environment quality, weak economic foundations, and inadequate transportation accessibility. 4) The main categories of barriers faced by counties include development-related, resource-related, factor-related, and management-related obstacles. Due to disparities in resource endowments and stages of development across counties, there is significant heterogeneity in both the types of obstacles encountered and their degrees of influence.

Considering that rural e-commerce has become an important channel for linking smallholder farmers to large markets, and that many major production areas of geographical indications (GIs) are encouraging farmers to participate in rural e-commerce, it is necessary to investigate the online premium of GIs and its underlying mechanisms. Based on actual transaction data of rice products from JD.com, this paper utilizes the hedonic price model to estimate the online price premium of GIs more accurately and examines the indirect mechanism of GIs generating online price premiums from the perspectives of online reputation and traceability. The results of the study show that: 1) GIs are able to generate online price premiums, but online price premiums decrease as the price range increases. 2) GIs help accumulate a good online reputation and promote the use of product traceability codes, which in turn generates online price premiums. 3) The online price premium of GIs varies across regions, with GI rice from western areas or non-major grain-producing regions able to generate a higher online price premium. 4) Functional labels such as selenium-enriched, low-protein, and germ weaken the online price premium of GIs, while there is no evidence that organic certification substitutes for GIs.

Promoting the equalization of basic public services between urban and rural areas is a key pathway to enhancing household consumption, boosting domestic demand, and advancing high-quality economic development. Based on panel data from 272 prefecture-level and above cities in China from 2012 to 2022, this study constructs an index system for urban-rural basic public service equalization and empirically examines its impact on household consumption, underlying mechanisms, and spatial effects. The findings reveal that: 1) Urban-rural basic public service equalization and household consumption both exhibit significant spatial clustering, with the development pattern shifting from a dispersed "multi-point" distribution to a more clustered "grouped" configuration. Major urban agglomerations such as Beijing-Tianjin-Hebei, the Yangtze River Delta, Chengdu-Chongqing, and the Guangdong-Hong Kong-Macao Greater Bay Area have become the primary high-agglomeration regions. 2) Equalization of basic public services significantly promotes household consumption and generates strong positive spatial spillover effects. 3) Mechanism analysis indicates that public service equalization boosts consumption through income and expectation effects. 4) Heterogeneity analysis further indicates that the consumption-promoting effects of public service equalization are more pronounced in regions with high spatial clustering and in cities with lower levels of economic development. Based on these findings, this study suggests accelerating the equalization of urban-rural basic public services, enhancing cross-regional coordination in public service provision, fully leveraging spatial spillover effects, and continuously unlocking household consumption potential.

Developing new quality productive forces is an inherent requirement and an important focus for promoting high-quality development. This paper constructs an evaluation index system from three dimensions: technological innovation capability, industrial transformation and upgrading, and innovative allocation of production factors to measure the level of new quality productive forces in 30 provinces in China from 2011 to 2022. The Moran's I, kernel density estimation, Markov chain transition matrix, Dagum Gini coefficient, and convergence model are used to reveal the spatiotemporal evolution pattern, regional differences, and convergence characteristics of new quality productivity development. Furthermore, the obstacle degree model and geographic detector model are used to explore the influencing factors of new quality productivity development. The findings reveal that: 1) During the research period, the level of new quality productivity in China steadily increased over time, with a clear decreasing distribution pattern of "high in the east and low in the west". 2) The development level exhibits a positive spatial correlation, with high-level neighboring regions positively impacting their adjacent areas. 3) From the perspective of regional differences, there are large regional disparities in the development level of China's new quality productivity, with the contribution of inter-regional differences taking the first place, followed by intra-regional differences, and that there are significant absolute β-convergence and conditional β-convergence characteristics in the whole country as well as the three major regions of the eastern, central, and western regions. 4) From the perspective of influencing factors, scientific and technological innovation capacity is the core factor in cultivating and developing new quality productivity, openness, informatization, labor force level, and transportation infrastructure are the main driving factors that lead to the spatial differentiation characteristics of new quality productivity across the country as well as in the eastern, middle, and western regions.

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.

With the deepening of all-for-one tourism, building tourism corridors and optimizing tourism spatial layout have become inevitable choices for cultural-tourism integration and achieving sustainable development. Taking Weinan City of Shaanxi Province as research area, this study identifies tourism tourism core nodes based on the user visit volume and review volume of Ctrip, and then uses the minimum cumulative resistance (MCR) model and gravity model to delineate tourism corridors of Weinan City and evaluate the tourism network structure under multiple development scenarios. The results are as follows: 1) The foundational tourism spatial structure comprises 44 tourism core nodes interconnected by 118 tourism corridors (44 primary corridors, 15 secondary corridors, 59 tertiary corridors). The total length of the tourism corridors is 2423.02 km, with 46 tourism "pinch points" and 28 tourism obstacle points. 2) Scenario simulations demonstrate that the comprehensive development scenario of increasing tourism source areas has limited effectiveness in improving the tourism network efficiency, while the optimized development scenario of reducing tourism source areas proves more effective in enhancing the network system compared to the comprehensive development scenario. 3) Based on the comprehensive tourism resistance surface of Weinan City, this study categorizes tourism development zones into three types of areas: extremely important areas, important areas, and generally important areas. It proposes differentiated tourism development strategies, and provides a scientific basis for high-quality development of cultural-tourism integration in Weinan City and China.

Private economic-dominated towns serve as a special type of towns which achieves industrialization and urbanization dominated by private enterprises "from the bottom up" in the process of rural industrialization. At present, there are few quantitative studies on the spatial distribution and its influencing factors of enterprises in private economic-dominated towns. This article takes Chendai, Jinjiang, Fujian Province as an example, the place where Sociologist Fei Xiaotong put forward the "Jinjiang Model" and where there is a world-class footwear and clothing production bases. Based on data of footwear and clothing enterprise, as well as built environment and socioeconomic data of Chendai in 2023, this article systematically analyzes the spatial patterns and influencing factors of footwear and clothing enterprises in Chendai by adopting a comprehensive approach including Kernel Density Estimation, Standard Deviation Ellipse, Spatial Autocorrelation and Geographically Weighted Regression. The results reveal that footwear and clothing enterprises in Chendai present the spatial characteristics of "multi-point agglomeration with some zonal distribution", while enterprises in different industrial chain links show significant spatial differentiation. Built environment mainly affects the manufacturing links, social economy and facility conditions mainly affect the upstream design-and-development link, the downstream packaging-sales link and other links, while business environment mainly affects the upstream design-and-development link and the midstream finished-product-manufacturing link. The influences of above factors show obvious spatial heterogeneity. This article will provide references for optimizing industrial layout and maintaining healthy and sustainable economic development of private economic-dominated towns.

Establishing the imperative for green economic development, this study first quantifies green economic performance using a non-radial SBM model incorporating undesirable outputs. Concurrently,industrial capacity utilization is measured via a composite network DEA model, with decomposition into supply-side and demand-side components. Thereafter, employing spatial panel methodologies grounded in adjacency, inverse distance, and nested economic-geographic weight matrices, evaluated are the spatial spillover effects of green economic advancement upon industrial capacity utilization. Mechanism analysis is conducted through both supply-side and demand-side channels. Finally, regional heterogeneity is examined through separate analyses of eastern, central, and western China. The empirical results indicate: 1) Green economic development not only elevates local industrial capacity utilization via agglomeration effects, but also enhances utilization in neighboring regions through diffusion effects, thereby mitigating the constraining influence of the "Hu Huanyong Line" on economic geography. 2) The promotion effect of green economy development on industrial capacity utilization is mainly manifested as direct effects on the supply-side and spillover effects on the demand-side. 3) Despite significant regional economic disparities, green economic development contributes to fostering greater regional coordination.

Taking 272 prefecture-level and above cities in China as the research unit, we use two-period non-radial directional distance function and Luenberger index to measure urban industrial green total factor productivity(GTFP), so as to measure the level of urban industrial green development and to further explore the regional differences and influencing factors. We find that the industrial green efficiency at the municipal level in China generally shows a pattern of "high in the east, low in the west, high in the south and low in the north", with significant imbalance characteristics. The main source of overall differences in industrial GTFP at the municipal level in China is hypervariable density, followed by the intra-regional difference, with a lower but gradually increasing contribution from the inter-regional difference. Technological progress and green momentum promote industrial GTFP growth, while efficiency deterioration and development momentum hinder industrial GTFP growth in the central, western and northeastern regions. From the combined perspective of technology and input-output dimensions, technological progress stems from both developmental and green technology progress, and efficiency deterioration is mainly caused by developmental efficiency deterioration. Regional differences in industrial GTFP stem more from the developmental efficiency difference. Accordingly, the government should pay attention to the long-term spatial imbalance in industrial green development, implement differentiated industrial green development strategies according to local conditions, and narrow the development efficiency gap in order to synergistically enhance the level of industrial green development at the municipal level.

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.

Improving energy efficiency can alleviate the pressure on energy demand and facilitate the low-carbon transition of the economy, thereby achieving the objectives of energy conservation, emission reduction, and green development. Firstly, we employed the super-efficiency SBM model incorporating undesired CO₂ outputs and the Malmquist productivity index (MPI) to calculate the total factor energy efficiency of 30 provinces between 2006 and 2021. Secondly, this paper regarded the energy rights trading pilot policy as a quasi-natural experiment and constructed methods such as the DID approach to explore the impact and mechanism of the energy rights trading pilot policy on total factor energy efficiency. Our findings show that: 1) The energy rights trading pilot policy significantly enhances total factor energy efficiency, and this conclusion remains robust after a series of tests. 2) According to the mechanism study, the energy rights trading pilot policy boosts total factor energy efficiency by optimizing the energy consumption structure, upgrading the industrial structure, and fostering green technology innovation. 3) This paper constructs a synthetic control method to explore the policy effect of each pilot province. The research reveal that Fujian Province experienced the most significant impact from the energy rights trading pilot policy, followed by Sichuan Province, while Henan Province was least affected. Although Zhejiang Province experienced a short-term impact from the policy, it was not significant. This study provides theoretical and empirical support for advancing energy marketization reform to enhance energy efficiency and offers practical insights for innovating urban governance models and achieving sustainable development.

Accessible elderly care resources serve as a pivotal indicator for assessing the effectiveness of elderly care service provision, holding immense significance for the development of a modern public service system. Focusing on the Yangtze River Delta Urban Agglomeration(YRDUA), this study employs multi-source data and analytical methods including kernel density analysis, consistency coefficient analysis, and geographical detector method to examine the spatial patterns, demographic-resource alignment, and driving mechanisms of accessible elderly care resources across different elderly life cycle groups. The results show that: 1) Accessible care resources exhibit a "Z-shaped" clustered spatial distribution under a "one-body, two-zones and multi-core" framework, with pronounced hierarchical disparities following a "core city-regional central city-marginal city" structure. The elderly care institutions are distributed "along the river and the bay", and the community elderly recreation places are "multi-point" clusters. 2) Elderly populations form a Shanghai-centric "wedge-shaped concentration zone" with a "one-body, two-wings" pattern along the Shanghai-Nanjing and Shanghai-Hangzhou corridors. Among specific subgroups, unhealthy seniors who are self-care capable and those who are self-care incapable are concentrated along the Shanghai-Nanjing axis, while healthy seniors show a trend of suburbanization. All three groups exhibit a "core-periphery" decline pattern, though at varying rates. 3) Spatial coordination between care resources and elderly demographics is weak, with resource-population alignment declining from central to peripheral regions. Resource-type analysis shows: cities with abundant elderly care institutions account for a relatively high proportion, cities with well-matched community healthcare places account for a relatively low proportion, and cities with lagging community elderly recreation places have a prominent proportion. Community elderly recreation places demonstrate best overall fit, followed by community healthcare places. Inter-provincial disparities are notable: Zhejiang resources generally surpass elderly population concentrations, while Anhui, Jiangsu, and Shanghai show resource deficits. The southern parts of the YRDUA forms a "surplus-matching" interlaced zone, with resource-deficient areas clustering in northern and western regions. 4) Spatial differentiation of accessible care resources stems from multi-factorial drivers. Human environment factors-particularly regional fiscal expenditure, elderly population size, and media attention-are primary determinants. Natural environment impacts are relatively limited but gain significance through interactions with human environment factors.

Identifying multifunctional spatial patterns and conflicts is essential for integrated and efficient territorial space management. This study adopts a synergy-competition perspective to build a suitability assessment system for agricultural, urban, and ecological functions, uses the triangle model to classify dominant multifunctional types, and quantifies conflicts with current land use and spatial planning via a conflict diagnosis matrix. Taking Laizhou City, Shandong Province, as a case study, a hexagonal grid with a radius was used for empirical analysis. The results show as follows. 1) The average suitability indices for agriculture, urban, and ecology are 0.60, 0.51, and 0.54, with agricultural suitability is highest in the east and center, urban suitability clusters centrally, and ecological suitability dominant in coastal and hilly areas. 2) an agricultural-urban composite type is dominant, this type forms a northeast-southwest belt; ecological-dominant areas rank second, mainly along the coast and western forests. Overall multifunctional suitability varies nonlinearly with elevation, distance to coastlines, urban centers, and roads. 3) Existing spatial conflicts are mostly low to moderate and dispersed, but planned conflicts are higher; planning reduces conflicts in 18.69% of the area but increases them in 19.12% due to poor functional synergy or mismatch. The research suggests enhancing multifunctional integration and dynamic conflict monitoring to improve spatial governance.

Forest wellness plays an important role in promoting public health. This paper takes ecological wellness suitability, landscape wellness suitability, dietary wellness suitability and cultural wellness suitability as the first-level criteria, and selects 18 indicators to construct the evaluation system of forest wellness suitability. Based on the above, it evaluates and zones the suitability of forest wellness in Hubei Province, and puts forward ideas and suggestions of product development in each region. It's found that: 1) The forest wellness suitability level is low in the plain areas of Hubei Province and high in the mountainous areas of Hubei Province. Overall, it presents the circular spatial differentiation pattern which is low in the middle of Hubei Province and high around the periphery of Hubei Province. 2) According to the suitability level and composition, the development of forest wellness industry in Hubei Province can be divided into four first-level regions (priority development zone, key development zone, local development zone and precise development zone) and eight second-level regions. 3) The development of forest wellness products in Hubei Province should be tailor to the person, the place, and the time, and implement a multi-level development strategy of diversification, specialization, synergy and empowerment.

Red tourism resources are the core carriers of red tourism development. Studying the spatial distribution of red tourism scenic spots (sites) is fundamental for scientifically formulating red tourism development plans and achieving high-quality tourism management. Based on spatial location data of 323 red tourism scenic spots (sites) across 122 counties (cities and districts) in Hunan Province, this paper employs Voronoi polygon variation coefficients and kernel density analysis to characterize their spatial distribution patterns. The geographic detector model is used to identify influencing factors, and fuzzy-set qualitative comparative analysis (fsQCA) is applied to explore the configurational effects of these factors. The results indicate that: 1) The spatial distribution of red tourism scenic spots in Hunan Province exhibits clustering characteristics, with significant variations among counties. The density distribution of red tourism scenic spots decreases from east to west, with the core density area concentrated in the Changsha-Zhuzhou-Xiangtan urban agglomeration, extending westward to the Wuling Mountain area and southeastward to the Luoxiao Mountain area, forming a "one core, dual axes" pattern. Outside the core area, multiple ring-shaped sub-density zones are sporadically distributed in southern, central, and northern Hunan. 2) The spatial distribution pattern of red tourism scenic spots is influenced by a combination of natural, resource, economic, and social factors, with the interaction effects of dual factors having greater explanatory power than single factors. 3) The fsQCA results show that none of the nine selected conditional variables alone constitutes a necessary condition for influencing the distribution of red tourism scenic spots in Hunan Province. Three configurational patterns are identified: "resource-driven", "resource-market linkage", and "resource-economy linkage".

Taking Guangdong Province as the research object, this study analyzes the spatiotemporal variation pattern of its newly added cross-border e-commerce enterprises. Then, an econometric model based on path dependence theory is constructed to illustrate the driving factors of cross-border e-commerce enterprise location selection and spatiotemporal pattern evolution, using methods such as nearest neighbor index, kernel density, standard deviation ellipse, and Theil index. The research results indicate:1) In terms of temporal development, the number of cross-border e-commerce enterprises in Guangdong Province has steadily increased, and new enterprises have shown periodic fluctuations due to the influence of economic environment and policy evolution. 2)The newly added cross-border e-commerce enterprises in Guangdong Province are characterized by both agglomeration and dispersion, with agglomeration as the main trend. The agglomeration direction tends to be horizontal, and the agglomeration centers are located in Shenzhen and Dongguan. The distribution differences between the four major regional sectors are greater than the differences within the sectors. 3)The new cross-border e-commerce enterprises in Guangdong Province have transformed from the gathering of double central axes in Guangzhou and Shenzhen to the gathering of multi central planes on the west bank of the Pearl River Estuary, and further spread to the eastern, western and northern regions of Guangdong by leaps and bounds. 4)The location selection of cross-border e-commerce enterprises presents spatial differences in the Pearl River Delta and non Pearl River Delta regions, with a focus on path dependence and path creation, respectively. The path dependence formed by location conditions and economic development level still dominates among the influencing factors, while policy factors show a path creation effect. The path creation effect of external shocks such as technological progress and openness are not significant.

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 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.

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 elucidating the concept of urban green development efficiency (GDE) and clarifying the theoretical basis of digital economy driving urban GDE, this paper employs the Super-SBM model to assess the scale of urban GDE in the Yellow River Basin from 2011 to 2021, while also examining its spatial-temporal evolution characteristics, and this paper empirically analyzes both linear and nonlinear effects of the digital economy on urban GDE in the region by panel Tobit model and Threshold Regression model. The results show that: 1) The urban GDE in the Yellow River Basin is volatile and has great potential for improvement. The evolution of the sequence pattern across the three major regions is dynamic and hierarchical，and 60 cities present a typical pyramid-shaped hierarchical pattern. 2) The evolution of the spatial pattern reveals phased characteristics, from the random multi-center distribution to the agglomerated state with multiple-cores and multi-centers. High-concentration contiguous areas have emerged, while the improvement of urban green development efficiency is affected by the spatial network association effect and the spatial spillover effect in adjacent cities. 3) The digital economy has directly driven the green development in cities across the basin. These driving effects are heterogeneous in time, space and city types. The imbalance of economic structure, the lag in adjustment and the rapid increase in urbanization have further aggravated the restrictive effect of the environment in the midstream and downstream of the basin. 4) Government regulation and environmental regulation have a significant single threshold effect. The optimal intensity of the two should be at the balance point of maintaining market flexibility and promoting green development, so as to play a synergistic role with the digital economy. Therefore, this paper proposes countermeasures and suggestions to promote ecological protection and high-quality development in the Yellow River Basin by strengthening the construction of the digital economy, fully harnessing the green efficiency of the digital economy, and optimizing the spatial pattern of green efficiency.

Urban scaling law reveals the scaling relationship between urban indicators and population size. This paper explores the scaling relationship between the spatial distribution of urban functional zones and population size at different scales with the help of POI data in Shanghai. This paper confirms that the scaling law also exists within the city and is affected by the Modifiable Areal Unit Problem (MAUP for short). The results show that: 1) The scaling law of the spatial distribution of urban functional zones in Shanghai under raster partitioning is more significant than that of administrative partitioning, and tends to be optimized as the spatial scale increases. 2) The spatial distribution of urban functional zones in Shanghai is with sub-linear scaling under administrative partitioning, while it is with linear scaling under raster partitioning. There are also differences in the scaling laws between different urban functional zones. Restaurant functioncal zone, commercial functioncal zone and residential functioncal zone are with super-linear scaling, workplace functioncal zone and education functioncal zone are with linear scaling, traffic functioncal zone is with sub-linear scaling. 3) The overall efficiency of urban functional zones in Shanghai is high, and most regions, including the main urban area, are generally better than expected, while there are differences in the efficiency of different urban functional zones.

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.

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.

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.