With globalization driving the transnational flow of capital, technology, and services, a complex, multilayered, and interwoven global foreign direct investment (FDI) network has gradually emerged among world economies. Analyzing the spatial dynamics and structural shifts of global FDI from a network perspective is essential for deepening our understanding of the complexity of the global FDI system and for advancing the research paradigm toward a more network-oriented approach. From the perspective of FDI mobility, this paper constructs a global FDI network dataset, integrates various network analysis methods to depict the evolution of global FDI flow patterns and explore the topological complexity of the global FDI network from macro, meso, and micro perspectives. The results show that: 1) The scale of global FDI has expanded continuously, giving rise to a spatial flow pattern characterized by clear hierarchical structures, increasing complexity, and significant spatial differentiation. FDI flows are notably concentrated in North America, Europe, and East Asia, with offshore financial centers playing a critical hub role in mediating global FDI movements. 2) The global FDI network has become increasingly dense, with improvements in connectivity, accessibility, and transmission efficiency. The network exhibits a pronounced core-periphery structure, with distinct hierarchical boundaries between core and peripheral components. 3) Countries such as China, the United States, the Netherlands, the United Kingdom, Luxembourg, Germany, France, and Switzerland occupy central positions in the network. Meanwhile, Canada, Japan, Ireland, Hong Kong (China), Bermuda, the Cayman Islands, and the British Virgin Islands exert significant global influence. Countries including Italy, Thailand, South Korea, Singapore, and Belgium serve important bridging roles. 4) In 2009-2020, the status of some developing countries is becoming increasingly prominent in the global FDI system. International events such as the Belt and Road Initiative, Brexit, and the COVID-19 pandemic have had varying degrees of impact on the evolution of the global FDI landscape.

Digital economy is an important force driving the regional green development and a strategic need to empower the high-quality integration in the Yangtze River Delta (YRD) region. This paper uses the methods of econometric regression model and chain mediation model to explore the mechanism of digital development on the green development efficiency in the Yangtze River Delta region. It's found that: 1) Both digital development and green development efficiency in the YRD region are rapidly improving, and have significant spatial and temporal heterogeneity and non-equilibrium development characteristics. 2) The digital economy can positively affect the green development efficiency through the parallel intermediary paths and chain intermediary paths of urban intercity cooperation on innovation, industrial structure upgrading and green technological innovation, with the total intermediary effect coefficient of 0.861, and the independent intermediary effect and chain intermediary effect accounting for 70.15% and 29.85%, respectively. 3) The impact intensity of the digital economy on the green development efficiency has heterogeneity in different grades of cities, the digital economy development is more able to promote the improvement of urban green development efficiency in high-grade cities. The research conclusions can provide decision-making references for the coordinated development of digitalization and greening in the Yangtze River Delta region and other areas.

Based on the construction of the evaluation system of territorial development intensity and urban livability, this paper uses the comprehensive adaptation model, optimal parameter GeoDetector and other methods to explore the spatiotemporal adaptation characteristics between territorial development intensity and urban livability in the Yangtze River Delta region from 2005 to 2022 and its influencing factors. The results show that: 1) Territorial development intensity and urban livability both showed a fluctuating growth trend during the study period, with the intensity of territorial development increasing from 0.071 in 2005 to 0.570 in 2022, and urban livability increasing from 0.087 in 2005 to 0.704 in 2022. 2) The spatial adaptation types changed from a relatively poor adaptation at the early stage to a relative adaptation at the end. Clustering characteristics were significant, high-value regions displayed spatial lock-in characteristics. 3)The influence of natural environment and economic development on adaptation was strong, and the interaction between economic development and other factors was significant, with adaptation gradually increasing under the combined effect of natural environment, economic development, urban construction, policy support and other factors.

This study selects 63 cities of the Yellow River Basin as research subjects and constructs a comprehensive evaluation system for digital economy development from four dimemsions: digital infrastructure, digital industrial development, digital innovation capability and digital inclusive finance. Based on the methods of modified gravity model, social network analysis and quadratic assignment procedure, this paper systematically analyzes the network connectivity patterns and evolutionary characteristics of the digital economy in 63 cities from 2011 to 2020, and explores the influencing mechanism of its network relationships. It's found that: 1) The development level of digital economy exhibits significant spatial heterogeneity in the Yellow River Basin, The network correlation intensity follows a multi-core spatial distribution, evolving from a node-centric pattern to a networked layout. 2) Over the study period, digital resources (e.g., innovative technologies and digital talent) have progressively diffused across cities of varying tiers within the basin. The correlation and synergy of the digital economy are constantly strengthening, and the spatial network structure is also becoming increasingly stable. 3) Provincial capitals (e.g., Zhengzhou, Taiyuan, and Xi'an) and strategic regional centers (e.g., Luoyang and Linfen) demonstrate competitive advantages in digital economic development, generating spillover effects on neighboring cities. Moreover, the network connectivity shows a trend toward equilibrium, reducing dependency on core cities. 4) Geographic proximity, economic development level, innovation capacity for science and technology, industrial structure, and fiscal investment significantly influence the basin's digital economy network connectivity. Complementary development in information, capital, technology, and industrial structure can enhance the network correlation of the digital economy among cities.

Based on the rescaling theory and the practice of the cross-boundary governance, this paper constructs a framework for the coordinated governance of cross-boundary regions (CBRs) in line with national strategies. Taking the Yangtze River Delta Ecological and Green Integration Development Demonstration Zone as a typical case, it further summarizes the logic and paths of central-local joint governance in CBRs. The study reveals that: First, the collaborative governance of CBRs adopts a flexible approach, with the central government providing guidance and supervision and local governments implementing, By reconstructing the discourse system, the state redefines governance principles and policy frameworks, there by reserving ample implementation flexibility for local governments. This, in turn, enables multi-level government cooperation to exhibit gradualness and stability, effectively breaking through development barriers caused by administrative divisions through coordinated resource allocation and strategic alignment. Second, in the process of cross-boundary regional governance, the central government attempts to reconcile local relations and optimize the distribution of local interests by reconstructing the spatial governance system, ultimately solving problems such as the lack of attention from local governments on cross-boundary governance affairs, fierce competition among regions, and fragmented governance power in cross-boundary regions. During this process, cross-boundary regions have not only become strategic arrangements for the central government to promote the adjustment of the powers and responsibilities of local governments, but also transformed into spatial expressions for the joint promotion of governance reconstruction by the national and local authorities. Third, the state builds a multi-level cross-boundary governance network through, specifically, adjusting the discourse system, restructuring governance leadership mechanisms, and optimizing power relations to enhance regional cooperation of CBRs. Focusing on the vertical reorganization of administrative subject power, the horizontal reconstruction of local competitive and cooperative relations, and the adjustment of responsibility and authority relations among regions, it specifically addresses the issue of fragmented development in CBRs. Under the mobilization of the central government and the active response of local governments, CBRs have achieved vertical hierarchical leapfrogging and horizontal cross-boundary integration in CBRs, thereby ensuring the reasonable distribution of interests among regions while realizing the intentions of the central government.

Improving the synergistic development of new urbanization and human well-being is conducive to the realization of sustainable development goals. Based on the methods of the coupling coordination degree model, obstacle degree model, and grey prediction, this paper investigates the evolution, driving forces, and future trajectories of the coupled coordination between new urbanization and human well-being in the Yangtze River Delta urban agglomeration from 2012 to 2021. It's found that: 1) New urbanization index and human well-being index show the uneven spatial distribution which is higher in the east of research area than that in the west of research area. 2) The coupling coordination degree between new urbanization index and human well-being index has improved, but there is a spatial polarization of "core driven by the periphery" in the inter-regional area. The high-value areas are concentrated in two axes of Hangzhou-Ningbo, Shanghai-Nanjing. 3) Medical and health care, public facilities, water resources security, pension insurance participation are the main obstacle factors, medical and health care is the first obstacle factor. 4) The coupling coordination degree of all cities will increase in the future, and all cities will reach a coordinated state by 2031.

Based on the joint invention patents,this paper constructs the industry-university-research innovation cooperation network,and analyzes its topological evolution characteristics and influence mechanism using the social network analysis method and the negative binomial regression model of fixed effects. The results show that:1) The industry-university-research innovation connection has become increasingly close in the Yangtze River Delta urban agglomeration,the scale and density of its network both have steadily increased. 2) The number of its network hub nodes increases,the number of its sub-central nodes decreases,and its edge nodes remain high. 3) The industry-university-research cooperation innovation network of the Yangtze River Delta urban agglomeration has evolved from the "Z" structure to the multi-center radial spatial pattern which takes Hefei, Nanjing and Shanghai as the cores,the network connection hierarchy is significant. 4) Institutional proximity and cognitive proximity have a positive impact on the industry-university-research innovation cooperation network,while geographical proximity plays a negative role. The influence of different proximity on the industry-university-research innovation cooperation network in the Yangtze River Delta has a synergistic promoting effect.

Under the background of China's high-quality economic development, urban industrial upgrading faces the critical challenges in terms of breaking specialized path dependence and cultivating diversified economic structures. Based on the panel data covering 19 industries across 286 prefecture-level cities in China from 2007 to 2019, this study analyzes the path dependence of specialized economy and diversified economy respectively at the industrial and urban levels using a linear probability model. It's found that: 1) High industrial correlation has strengthened the specialized economy, and there is dual heterogeneity at the industrial and urban levels. 2) From the industrial perspective, the path dependence of the service industry is stronger than that of industry and agriculture. 3) From the perspective of cities, industrial correlation of cities on with high innovation capabilities has more prominent promotion effect on specialization. Furthermore, both industrial linkage intensity and urban innovation capacity significantly inhibit economic diversification, though their marginal negative effects exhibit diminishing trends over time. Finally, based on the above, it is proposed that precise policies should be implemented in stages, industries and regions to promote the transformation of specialized economy and diversified economy from zero-sum game to collaborative symbiosis, and ultimately achieve the sustainable upgrading of urban industrial structures.

Taking the public cultural facilities in the urban agglomeration of the middle reaches of the Yangtze River as the research subject, this paper classifies public cultural facilities into three types (museum,library and cultural center), and uses the methods of ArcGIS spatial analysis and GeoDetector to analyze the spatial distribution characteristics and influencing factors of public cultural facilities. The results show that: 1) There is a significant spatial distribution difference in the public cultural facilities in the urban agglomeration of the middle reaches of the Yangtze River, which generally presents the spatial distribution characteristics of single core and cluster. 2) The spatial distribution of public cultural facilities in the urban agglomeration of the middle reaches of the Yangtze River shows a significant clustered state. Overall, it has formed a distribution structure with one prominent core aggregation area and four secondary core aggregation areas. Museums, libraries, and cultural centers exhibit the distribution patterns of triangul, circule and a multi-core cluster, respectively. 3) The spatial distribution of public cultural facilities is greatly influenced by public fiscal expenditure and the number of permanent residents, in addition, museums are also greatly affected by the administrative level of the city, while libraries and cultural centers are more significantly influenced by GDP. Regarding interactive effects, the quantity of each type of public cultural facilities in the cities mainly depends on their land area and local fiscal expenditure.

Based on the data of 5A-level logistics enterprises, this paper constructs an index system of logistics service intellectualization level from two aspects: logistics basic service supply capacity and logistics digital service supply capacity, and evaluates the logistics service intellectualization level in China's coastal areas from 2011 to 2021 using the improved TOPSIS method. It explores the evolution law of the logistics service intellectualization level using Dagum Gini coefficient and kernel density, and empirically analyzes the influencing factors by means of geographic detectors. The results show that: 1) From 2011 to 2021, the level of logistics services intellectualization in coastal areas increased year by year, among which the supply capacity of logistics digital services made outstanding contributions, with an average annual growth rate of 14.04%. 2) The logistics service intellectualization level showed the clearly segmented evolution characteristic in China's coastal areas. In 2011-2015, the level of logistics service intellectualization was concentrated in low-value areas, and it developed rapidly in 2016-2021. The deep integration between digital economy and industry, as well as the promotion of logistics service innovation by digital consumption, are the keys for the development of he logistics service intellectualization. 3) In terms of spatial pattern, the distribution of low-level areas remained stable, while the high-level areas expanded from the middle of China's coastal areas to the north and south of China's coastal areas, and the high-level areas shifted to the south of China's coastal areas. The overall and inter-group differences of the three major marine economic circles are fluctuating and expanding, and the evolution trend of intra-group differences is different. The overall development trend is good in the eastern marine economic circle, and the intra-regional differences are gradually narrowing, while the intra-regional differences are increasing in the southern and northern marine economic circles. 4) In terms of influencing factors, regional economic development, local government support and regional digital market are the leading influencing factors of logistics services, the values of their explanatory power is in 0.65-0.85. Regional logistics foundation is the foundation for supporting related services, and its interaction with other factors far exceeds the influence of single factor, the values of their explanatory power is in 0.7-09. Local government support is the key to break the path dependence and promote the transformation and development of regional logistics services.

This study utilizes the entropy method to measure the high-quality development level of the digital economy and circulation industry in 30 provincial-level regions of China from 2012 to 2021. It empirically examines the impact mechanisms and spatial spillover effects of digital economy on the regional high-quality development of circulation industry using the methods of fixed effects model and spatial Durbin model. The main findings are as follows: 1) The development of the digital economy exerts a significantly positive impact on the high-quality development of the circulation industry, exhibiting a spatial pattern that weakens gradually from the western region to the eastern region and the central region. 2) The digital economy promotes the high-quality development of the circulation industry through the transmission channels of human capital, industrial upgrading, and innovation output. Enhancing human capital and innovation output is the long-term pathways for the digital economy to empower the high-quality development of the circulation industry. 3) The circulation industry demonstrates overall spatial agglomeration patterns of "high-high" and "low-low", presenting a tendency toward regional equilibrium or broader spatial diffusion. 4) The digital economy's enabling effects on the high-quality development of the circulation industry reveal significant polarization-trickle-down effects, accompanied by a tendency toward spatial spillover.

Based on the data of logistics enterprises, this article investigates the spatial and temporal distribution of logistics enterprises in Xinjiang Uygur Autonomous Region by means of kernel density, spatial analysis and geographic detector model. The results indicate that: 1) Overall, logistics enterprises in Xinjiang Uygur Autonomous Region mainly present a "core-periphery" spatial distribution pattern with Urumqi as the main core area and other regions as the peripheral areas. 2) Logistics enterprises exhibit a certain aggregation distribution pattern in different years. High-high aggregation areas are mainly distributed in Urumqi. It has many areas with low-low aggregation, but their number is decreasing year by year, gradually evolving from contiguous distribution to local aggregation. 3) The spatial distribution of logistics enterprises in Xinjiang Uygur Autonomous Region is jointly affected by four factors: transportation condition, economic factor, market factor, and policy environment, among which economic development level, market scale, and regional policies are the main factors influencing the spatio-temporal distribution of logistics enterprises in Xinjiang Uygur Autonomous Region. The interaction between market scale and regional policies is the most significant, and the interaction between residents' consumption level and industrial structure condition shows an increasing trend. This research can provide references for optimizing the layout of the logistics industry in Xinjiang Uygur Autonomous Region and promoting economic exchanges and regional coordinated development.

Taking 19 cities of urban agglomeration in the middle reaches of the Yangtze River from 2011 to 2022 as the research objects, this article uses the coupling coordination degree model and the super-efficiency SBM model to calculate the levels of the digital-intelligence integration and the green transformation of the manufacturing industry, analyzes the spatial evolution patterns of digital-intelligence integration and the green transformation of the manufacturing industry, and constructs a spatial Durbin model to explore the impact and spatial effects of digital-intelligence integration on the green transformation of the manufacturing industry. The research findings are as follows: 1)The overall level of the green transformation of manufacturing industry of urban agglomeration in the middle reaches of the Yangtze River shows a downward trend, among which the urban agglomeration around Changsha-Zhuzhou-Xiangtan has a large decline; in terms of spatial evolution, the green transformation of the manufacturing industry of urban agglomeration in the middle reaches of the Yangtze River has shifted from differentiation to convergent development, and each central city leads the green transformation of manufacturing industry.2)The high-high agglomeration of digital-intelligence integration is distributed in the Wuhan Metropolitan Area; the low-low agglomeration is distributed in the Greater Nanchang Metropolitan Circle, and the agglomeration scope ruduces over time. 3)Digital-intelligence integration can not only promote the green transformation of the local manufacturing industry, but also promote the green transformation of the manufacturing industry in neighboring areas through the positive spatial spillover effect.

Based on the panel data of high energy consuming enterprises in China from 2009 to 2022, this article analyzes the spatiotemporal characteristics of high energy consuming enterprises, and explores their influencing factors. The research results indicate that: 1) The carbon emissions of high energy consuming enterprises exhibit periodic changes over time, show clustering characteristics in spatial distribution. The differences among various regions have significantly narrowed. 2) The carbon trading policies have a restraining effect on the carbon intensity of high energy consuming enterprises, and have a more significant impact on enterprises in the central region, non-state-owned enterprises, positive growth enterprises, and profitable enterprises. 3) Technological innovation is the core path for carbon trading policies to reduce emissions, while green credit strengthens policy effectiveness through capital allocation. To further reduce the carbon intensity of high energy consuming enterprises, the government should improve carbon trading policies, accelerate the construction of carbon trading markets, expand the coverage of carbon trading policies, and strengthen the collaborative design of policy tools. Enterprises should increase their investment in technological innovation, while non-listed high energy consuming enterprises should learn from the successful experience of listed companies in carbon reduction and actively implement emission reduction measures.

The returning rural population is a key force in building a strong agricultural country and realizing the comprehensive revitalization of the countryside. Based on the survey data of Fengjie County, Chongqing Municipality, this article constructs the analysis framework of sustainable livelihood and introduces the spatial capital according to the special characteristics of the livelihoods of mountainous households. It studies the characteristics of returning rural households in terms of their livelihood strategy choices, livelihood resource allocation, and livelihood outcomes, and explores the livelihood sustainability of returning rural households. The results show that: 1) Returning rural households have obvious tendency of non-agricultural economic activities in the selection of livelihood types, their priority orders from high to low are non-agricultural type, non-agricultural dominant type, pure agricultural type, part-time type, and agricultural dominant type. 2) Returning rural households have more flexible and diversified livelihood strategies, and the level of their livelihood diversification is generally higher than the average value of the whole village. 3) It has significant differences in livelihood capital portfolio status and capital endowment among returning rural households with different livelihood types. The accumulation of physical capital, human capital and financial capital of purely agricultural type and agriculture-dominated type of returning rural households is significantly higher than that of the same types of farmers in the whole village, part-time type of farmers has more advantages in spatial capital. 4) According to the livelihood capital endowment and livelihood diversity index, returning rural households can be divided into four types: updated type, enterprising type, lost type, and autonomous type. Among them, the updated type of returning rural households has the strongest capacity for sustainable livelihood development, followed by the autonomous type, the enterprising type has a certain capacity for livelihood development, and the lost type of returning rural households has a poorer capacity for sustainable livelihood development.

'Standard' is a vital institutional foundation and technical basis for the compilation and approval, monitoring and evaluation, and implementation management of territorial spatial planning. The standardization and technical standard system construction of territorial spatial planning is an important basic work in the field of territorial spatial governance. This article identifies current issues in the standardization of territorial spatial planning, such as fewer studies in terms of standards of territorial spatial planning, low quality and limited practicality of certain standards, and deficiency of planning standard system, which can't fully meet the needs of deepening the integration of multiple plans, the high-quality development in the era of ecological civilization, digitization and systematic governance. Therefore, on the one hand, it needs to strengthen the integration between the territorial spatial planning and the standard scientific theory and technical methods, standardize the object of territorial spatial planning standardization, clarify the level and function orientation of various standards, and improve the planning standard system. On the other hand, it needs to construct a four-level standard system and a four-aspect standard system, including 'overall general-subsystem general-general category-special subcategory' in the vertical direction, and 'planning compilation', 'planning review', 'physical examination evaluation' and 'implementation supervision' in the horizontal direction, which provides guidance for the formulation and revision of standards.

To reveal the mechanism of land transfer prices on the evolution of territorial spatial pattern is the logical basis to alleviate territorial space conflicts. This study employs the methods of the geospatial mapping, comprehensive land prices and standard deviation ellipse to characterize the evolution of territorial space pattern and land transfer prices in the Yangtze River Delta region from 2007 to 2022. Based on the spatial Durbin model, it evaluates the influence mechanisms and spillover effects of land transfer prices on territorial space pattern. The results indicate that: 1) The urban-rural construction space in the Yangtze River Delta region increased by 19026.82 km², with agricultural production space and ecological service space decreased by 9231.95 km² and 9794.86 km², respectively. The dominant transformation involves agricultural production space transitioning to urban-rural construction space, and ecological service space transitioning to agricultural production space. 2) Land transfer prices in the Yangtze River Delta region have risen rapidly, forming a geographical pattern of east-west polarization. High-value zones of land transfer prices was observed in counties and districts of Shanghai, Nanjing, Hangzhou and Suzhou, while the western part of Anhui Province has lower value. 3) Land transfer prices in the Yangtze River Delta region has a significant positive spatial spillover effect on urban-rural construction space, and a negative spatial spillover effect on ecological service space and agricultural production space. Therefore, it is necessary to establish and improve localized, differential and differentiated land transfer pricing mechanisms to optimize territorial space pattern.

Rural industrial integration refers to the development mode of the integration of the primary industry with the secondary and tertiary industries in rural areas. Land transfer is the fundamental supporting system for the integrated development of rural industries. Based on the stability of land rights and the mode of interest connection, this article divides land transfer into two modes: land leasing mode and land shareholding mode. It takes farmers' income as the measurement indicator of the income increase effect of industrial integration, and the proportion of the output value of leisure agriculture and agricultural product processing industry as the measurement indicator of the depth of integration. It uses the panel two-way fixed effect model to empirically analyze the influence effect of land transfer on rural industrial integration in 30 provincial-level regions of China. The results shows that: 1) Land transfer has a significant promoting effect on industrial integration and income increase, and the growth of farmers' income mainly comes from the increase of property, operational and transfer income. 2) With the continuous expansion of land transfer scale, the degree of rural industrial integration has further deepened, and the promoting effect of the land shareholding mode is significantly better than that of the land leasing mode. 3) The impact of land transfer on industrial integration shows regional heterogeneity, presenting a gradient feature which is the strongest in eastern region, followed by the central region, and the weakest in western region. Based on the above, this paper proposes policy recommendations: improving the property rights registration system of separation of ownership rights, contract rights, and management rights for contracted rural land, promoting the transfer mode of "land shareholding", and perfecting the promotion mechanism of classified transfer.

This article constructs a comprehensive evaluation system of the development quality of tourism economy from two dimensions: tourism economic scale and tourism economic benefit. With the help of the entropy weight TOPSIS method, modified gravity model, social network analysis method and GIS spatial analysis method, it analyzes the spatial distribution and network structure of tourism economic connections and depicts the characteristics of tourism economic integration in the Yangtze River Delta urban agglomeration (YRDUA) in 2011, 2016 and 2021. The results show that: 1) The number of tourism economic connection channels between cities in the YRDUA has increased, its connection intensity and number both have continued to increase. The construction of regional tourism economic integration has received phased achievements, but it is still characterized by the co-existence of the "rich people's club" and the "island phenomenon". 2) Nine cities (e.g. Shanghai, Nanjing, Hangzhou and so on) are the main tourism economy exporting cities in the YRDUA, with significant spillover effects, while the rest of the cities assume receiving roles, and the core node cities play a key role in the process of tourism economy integration in the YRDUA. 3) Tourism economic connections present a hierarchical spatial structure of "core-edge" agglomeration, with "small worlds" nested in large associations. A collaborative system of hierarchical cooperation among core cities, sub-core cities, and general cities in the YRDUA is gradually taking shape. According to the formation mechanism of tourism economic integration, it proposes the development mode of tourism economy integration in YRDUA, which is "multiple leading cores, four linking corridors and five linking districts".

Promoting the integrated development of culture and tourism and improving people's quality of life are intrinsic requirements and important goals for the construction of the Grand Canal National Cultural Park. The study of cultural and tourism consumption levels in cities along the canal provides theoretical support and practical pathways for its development. This article takes 13 cities in the Jiangsu-Zhejiang section of the Grand Canal in China as the research area, and constructs an evaluation system for culture and tourism consumption level from four dimensions: culture and tourism consumption environment, culture and tourism consumption capacity, culture and tourism consumption expenditure, and culture and tourism consumption satisfaction. By comprehensively using mathematical statistics and fuzzy-set qualitative comparative analysis, this article systematically explores the spatiotemporal characteristics and impact paths of culture and tourism consumption level in the Jiangsu-Zhejiang section of the Grand Canal. The results show that: 1) The culture and tourism consumption level shows a fluctuating growth trend, presenting a "dual core" spatial pattern of Suzhou and Hangzhou, with regional differences gradually decreasing year by year. 2) The four dimensions of culture and tourism consumption level have obvious differentiation. The index of culture and tourism consumption capacity increases year by year, the index of culture and tourism consumption satisfaction changes slightly. The index of culture and tourism consumption environment has the largest regional difference, while it has relatively small regional differences in terms of culture and tourism consumption expenditure and culture and tourism consumption satisfaction. 3) It constructs a configuration factor framework of culture and tourism consumption from the perspectives of supply-demand-policy, the culture and tourism consumption level is influenced by the configuration of five variables: resource product foundation, service facility level, economic income level, culture and educational level, and government support and guidance. The configuration path of high level of culture and tourism consumption can be divided into three types: environmental supply type, internal demand type, and supply-demand diversified linkage type.

Based on the new endogenous development theory and using the methods of observation, interview, and grounded theory, this study constructs a comprehensive analytical framework for promoting the improvement of people's well-being in regions inhabited by ethnic groups through the integration of culture and tourism following the logic of "factor synergy, system reconfiguration, function upgrading", and conducts an empirical research on Chashan Village, Fuchuan Yao Autonomous County. It's found that: 1) With the support of external forces such as national policies, it generates the endogenous development impetus for the integration of culture and tourism in regions inhabited by ethnic groups, and forms an internal and external synergy to stimulate the vitality of the internal cultural and tourism industry. 2) Relying on the integration of culture and tourism, and through it utilizes the organic combination of government leadership and multi-party participation to promote rural economic, social, and spatial reconfiguration, and achieve a transformation from the "government-supported" model to a sustainable "self-hematopoietic" common prosperity. 3) The synergy among the industrial drive, the concerted efforts of the Party and the masses, interest alliances, and institutional guarantee mechanisms integrates the consolidation of the sense of community for the Chinese nation into cultural and tourism development, promotes the cause of ethnic solidarity and progress to deepen and take root in the improvement of people's well-being. The practice of cultural and tourism integration in Chashan Village provides a vivid example for understanding the pathway and mechanism for improving people's livelihood and well-being in regions inhabited by ethnic groups, and highlights the replicability and generalizability of its experience.

Based on the data of Douyin, this paper reveals the spatial distribution pattern and structural characteristics of the network attention degree of scenic-spot villages in Zhejiang Province and explores its influencing factors by the means of. The methods of rank-size, kernel density, nearest neighbor index and GeoDetector. The research findings are as follows: 1) The scenic-spot villages with higher network attention degree have obvious advantages, while the scenic-spot villages with high and low network attention degrees have poorly development. 2) The kernel density distribution of the network attention degree of scenic-spot villages presents a T-shaped spatial agglomeration structure which have five core agglomeration areas. 3) The kernel density distribution of the network attention degree of three types of scenic-spot villages presents a spatial pattern which is one area with low-level kernel density, two areas with high-level kernel density, and distinct differentiation. 4) The regional economic level and service industry support are important factors affecting the spatial distribution of the network attention degree of scenic-spot villages. Vegetation coverage rate, the living standards of rural residents, and the network penetration level also affect the spatial distribution of the network attention degree of scenic-spot villages. Moreover, the results of the interaction detection of influencing factors show that the effect of multiple factors is stronger than that of a single factor. 5) The influencing degrees of the driving factors for three types of scenic-spot villages are different. The network penetration level is the most influential factor for the spatial distribution of the network attention degree of scenic-spot villages which belong to the type of characteristic leisure. The regional economic level is the most influential factor for the spatial distribution of the network attention degree of scenic-spot villages which belong to the types of folk-custom and culture, and nature-ecology. However, vegetation coverage rate and air quality are the factors with relatively large influence on the spatial distribution of the network attention degree of scenic-spot villages which belong to the type of nature-ecology.

Exploring the relationship among tourism market, people's livelihood and well-being, and ecosystem services is an important link in promoting rural revitalization and common prosperity in post-poverty alleviation areas, and thus achieving Chinese modernization. Based on the panel data of four districts and counties in Zhangjiajie City in 1990, 1995, 2000 to 2022, this paper explores the trade-off and synergy relationship among tourism market, people's livelihood and well-being and ecosystem services using the methods of the comprehensive evaluation model, equivalent factor assessment method and mechanical equilibrium model. The results show that: 1) Overall, the degree of comprehensive trade-off synergy among tourism market, people's livelihood and well-being and ecosystem services showed a trend of evolution from low to high, its spatial pattern evolved from uneven distribution which was higher in the north of China and lower in the south of China to even distribution, and showed dynamic migration and regional differentiation characteristics. 2) The type of trade-off synergy degree evolved from low coordination state to multi-function symbiosis, showing a progressive development path of single-core driven type, dual-function combination type and multi-function symbiosis type, different types reflect the complexity and diversification of trade-off synergy mechanisms. 3) The trade-off synergy relationshipamong tourism market, people's livelihood and well-being, and ecosystem services in post-poverty areas is jointly affected by resource endowment, industrial development stage and policy orientation.

This paper constructs a comprehensive evaluation index system of platform economy from three dimensions:infrastructure, participating entities, and operating results, measures its development level in 31 provincial-level regions of China from 2013 to 2021. It uses the methods of modified gravity model and social network analysis to explore the spatial correlation characteristics and evolution process of platform economy development, and uses QAP regression model to verify its formation mechanism. It's found that:1) The spatial correlation of platform economy development in China is manifested as a typical network layer structure with multiple threads and a center-periphery structure. The spatial correlation of platform economy development has weakened, and the overall network structure still needs further optimization. 2) 10 provincial-level regions play the role of "engines" in the network, 7 provincial-level regions play the roles of "intermediaries" and "bridges" in the network, 10 provincial-level regions play the role of "central actors" in the network. 3) There is a significant spatial spillover effect among the net beneficiary sector, broker sector, bidirectional spillover sector, and net spillover sector, but there exist problems of reverse spillover and non-equilibrium. 4) The formation of spatial correlation in platform economy is influenced by multiple factors, the differences in economic development level, market competition level, technological innovation level, and social consumption level have significant positive impact on it, while differences in geographical distance, industrial structure, and platform infrastructure level have negative impact on it.

The biased technological progress driven by the informatization development continues to reshape the labor market. Currently, there is a lack of comprehensive research from the micro perspective and the mechanisms of enterprises. Based on the micro data from China's listed companies in 2010-2022, this article constructs an informatization index of enterprises, analyzes the evolution of labor employment and enterprise informatization development, and explores the impact of enterprise informatization development on the total labor force and labor structure changes from the enterprise perspective. Additionally, it conducts a regional heterogeneity analysis from the perspectives of enterprise and industry, and analyzes the impact path from the perspectives of efficiency improvement and scale expansion. It reveals that: 1) The development of enterprise informatization can enhance the total demand of labor, effectively serving as an employment reservoir. 2) It exerts a biased influence on the labor structure, which increases the demand for highly educated and knowledge-based labor, and decreases the demand for low-educated and operational labor. 3) The effect of enterprise informatization development on employment shows the characteristics of an inverted U-shaped curve relative to the city size, it has the most significant impact on the labor force of enterprises in type I large cities. 4) The advancement of enterprise informatization development reinforces the polarization trend of the labor force's educational structure by enhancing output efficiency and expanding production scale. However, it simultaneously mitigates the polarization trend of the labor force's skill structure. Consequently, the development of enterprise informatization is crucial for the optimal allocation of labor resources, it facilitates the adaptation and balance of capital, technology, and labor elements during the transformation process of enterprise informatization across various scenarios. This provides valuable insights for the implementation of employment stabilization strategies tailored to local conditions.