Focusing on the goal of common prosperity, an ecological welfare performance evaluation index system under the guidance of common prosperity is constructed. The Super-EBM model is used to measure the ecological welfare performance of the Yellow River Basin from 2011 to 2021. The kernel density estimation, trend surface analysis, spatial autocorrelation and random forest model are used to analyze the spatial and temporal evolution characteristics and influencing factors. The results show that: 1) The ecological welfare performance of the Yellow River Basin has increased, and its spatial distribution pattern is“high in the south and low in the north, high in the east and low in the west”.2) The ecological welfare performance of the Yellow River Basin has significant positive spatial correlation and has club effect.3) The top three influencing factors of ecological welfare performance in the Yellow River Basin are opening up, government regulation, and economic foundation.

Based on the perspective of human-land relationship, the article explores the spatial and temporal evolution characteristics and the intrinsic driving mechanism of the coupling and coordination of new urbanization and economic resilience of the Yangtze River Delta (YRD) during the period from 2005 to 2020. The results show that: on the theoretical framework, high level new urbanization can promote the upgrading and optimization of economic security, and high level economic resilience can promote the upgrading and development of new urbanization; on the time evolution, the overall level of coupling and coordination between new urbanization and economic resilience of cities in the YRD has shown a stable and improving healthy development; on the spatial pattern, the level of coupling coordination presents a stage-by-stage evolution from 2005 to 2020, with significant spatial spillover effects; on the regional coordination, the power kernel of each city's spatial and temporal leap is more derived from its own 'hematopoietic' ability and endogenous power; on the driving mechanism, the internal elements of the two systems influence the level of coupled and coordinated development between the systems through spatial and temporal interactions with equilibrium forces.

In recent years, China has committed itself to promoting high-quality development of regional economies, and how to realize this goal has become a hot topic of discussion among scholars. Economic complexity can be used to measure the quality of economic development by utilizing the complexity of technology and knowledge contained in economies at different scales, such as regions, industries or firms. The higher the economic complexity, the greater the complexity of the knowledge and technology at their disposal, and the more the economy tends to develop in a high-quality and innovation-driven direction. This paper explores the impact of consumption structure upgrading on regional economic complexity from a demand-side perspective. Consumption structure upgrading is the process of transforming residents' consumption from being dominated by survival-oriented products to development and hedonic products. We utilize the panel data of 31 provincial administrative regions in China during the period of 2000—2020, and adopt research methods such as ECI+ and price relative index. The study obtained the following findings: First, consumption structure upgrading can significantly enhance regional economic complexity; Second, the positive impact of consumption structure upgrading on regional economic complexity is realized through three mechanisms; Third, there is regional heterogeneity in the impact of consumption structure upgrading on regional economic complexity, the higher the degree of marketization and the lower the degree of market segmentation, the greater the positive impact of consumption structure upgrading.

Taking Guizhou province, a digital economy development innovation zone, as an example, based on the TOPSIS method and modified DEA model to measure digital inclusive finance (DUF) and tourism efficiency (TE), we comprehensively use panel vector autoregression model, modified coupled coordination degree model and panel model to analyze the interaction between DUF and tourism efficiency in Guizhou province from 2011 to 2020, and analyze the relationship between DUF and TE. The study analyzes the interaction between digital financial inclusion and tourism efficiency in Guizhou Province from 2011 to 2020, and analyzes the influence relationship, spatial and temporal pattern of coupling coordination and driving mechanism. The study shows that: 1) Digital financial inclusion and tourism efficiency are causal relationships, digital financial inclusion and tourism efficiency have different degrees of path dependence. 2) From 2011 to 2020, the coupling and coordination grade of digital financial inclusion and tourism industry efficiency in Guizhou Province has been continuously improved, experiencing the stage process of "disorder→ transition→coordination"; the "olive-shaped" distribution of the coupling and coordination grade of digital financial inclusion and tourism industry efficiency has become more and more obvious.

Rural economy is the important component of China's economy. Ensuing the smooth operation of rural economic is the inevitable requirement for high-quality economic development. Rural economic resilience provides important support and guarantee for the smooth operation of rural system. Taking 83 counties (cites) in Xinjiang Uygur Autonomous region (for short Xinjiang) as research objects, this paper uses Markov chain and panel data regression to reveal spatial-temporal pattern of rural economic resilience in Xinjiang as well as its influencing factors. The research results show that: 1) Rural economic resilience in Xinjiang showed a gradual upward trend during the study period, and showed the spatial characteristics of "Northern Xinjiang > Southern Xinjiang". Different levels of rural economic resilience in Xinjiang shows obvious "cluster" spatial distribution characteristics. The number of high-level areas show obvious increasing trend, mainly distribute in Economic belt on the Northern slope of the Tianshan Mountains and Industry belt on the Southern slope of the Tianshan Mountains. 2) In the short term, rural economic resilience in Xinjiang has the trend of club convergence. But, with the passing of time, the degree of club convergence is gradually weakened. Moreover, the spatial effect has an important influence on the dynamic evolution trend of rural economic resilience in Xinjiang. 3) Economic base, financial self-sufficiency rate and tourism development have positive effects on the improvement of rural economic resilience in Xinjiang, while industrial development and industrial concentration ratio play obstructive roles.

From the national and local perspective, this paper constructs the internal and external economic network of the middle reaches of the Yangtze River city cluster based on the data of the headquarters and branches of the top 100 enterprises in Hunan, Jiangxi and Hubei provinces. The results show that: 1) The economic link area of the city cluster in the middle reaches of the Yangtze River is expanding, and the number of nodes and edges of the network is increasing. 2) The linkage outside the cluster is centered on the cities in the middle reaches of the Yangtze River in an east-west and north-south "cross" structure, and the economic linkage with the economically developed regions across the region is gradually improving. 3) The degree of links between nodes within the cluster has increased, and it has broken through the limitations of administrative divisions to evolve into a polycentric network structure. 4) In the multi-scale economic network, the nodes of the city cluster in the middle reaches of the Yangtze River are divided into five types according to the nodes' internal and external orientation.

While economic globalization has suffered from the impact of the epidemic of Corona-virus, and the manufacturing value chain has been severely affected, the development of China's cultural and creative industries has been accelerating, driven by the emergence of digital technology and the domestic market. Using a sample of 347 cultural and creative enterprises listed in Shanghai and Shenzhen as of the third quarter of 2020, and their foreign investments in 7, 828 companies, this paper employs spatial and social network analysis to carve out the characteristics of four major functional division of city networks in the value chain; the level of specialization in each city is measured. The study found that: Firstly, the value chain of China's cultural and creative industries is complete, and the domestic circulation pattern is basically complete. Among them, the production and production network is the smallest and the least connected; The nodes of these two types of functional networks are mostly prefecture-level cities with relatively low costs. The research and development, wholesale and retail networks are in the middle of the scale, and strong connections mostly occur between economically developed first-tier cities. Secondly, the spatial distribution of the four types of functional cities is distinctive: the research and development cities represented by Beijing and Tianjin, Wuhan, Chengdu and other national central cities are few in number and spatially dispersed. The production cities represented by Jinhua, Taizhou, Shaoxing, Wuxi and Nanjing are highly concentrated in the Yangtze River Delta. The wholesale and retail cities represented by Guangzhou, Shenzhen, Shanghai, Xiamen and Fuzhou are mainly clustered in the southeast coast, mainly in the Pearl River Delta and the Minnan Delta. The number of operational service cities is large and relatively evenly distributed, basically fitting the "Hu Huanyong Line" throughout the east-central cities and a few western provincial capitals.

Taking Jiaxian County on Loess Plateau as an example, this paper presented a research framework based on geographical location theory and sustainable livelihood framework. We used the multi-level linear model to combine two scales of farmers and villages, multi-scale influencing factors and interactive effects on farmers' livelihood outcomes were identified and analyzed. The conclusions were as follows: 1) The livelihood outcomes of rural households among different geomorphic regions was shown the characteristics of windy and sandy areas in the north> rocky mountains along the Yellow River in the southeast> hilly and gully areas in the southwest; 2) The labor ability, education and cultural level, health status, production and living materials and social connections in the farmer level had significant positive impact on the livelihood outcomes of the farmers; 3) Location condition factors such as slope, distance from river, distance from external connection and distance from county seat in the villages level had significant negative impact on farmers' livelihood outcomes; 4) The interaction between different scale factors such as rural livelihood capital and rural location conditions has a greater impact effect on livelihood outcomes than single scale factors. The interactive effects between topographical factors and livelihood capital, especially social capital, were more extensive; The interactive effect of traffic factors and location factors with livelihood capital were relatively weak.

This study focuses on Longxi County to examine the characteristics and formation mechanisms of intergenerational changes in the agricultural labor force that impact agricultural production. By utilizing 1,267 questionnaire responses and applying a partial least squares regression model, the research findings reveal that agricultural production exhibits an overall fluctuating downward trend during the intergenerational change divided by ten-year intervals. Specifically, The agricultural labor force aged 40-49 years is the transition group that affects agricultural production, while individuals below 40 years old display a negative effect on agricultural production. Among the influencing factors, gender differences among laborers under the age of 60 significantly affect agricultural production, with women exerting a greater positive impact than men. Currently, laborers above 60 years old contribute positively to agricultural production, while those below this age threshold have a negative effect. Land attachment significantly affects agricultural production among laborers above 70 years old and female laborers aged 50-59. Regarding the mechanism of influence, the interplay of various factors such as the human-land relationship, population migration, education and skill training, and natural conditions greatly contribute to the decline in agricultural production levels.

Based on nighttime light data from the fourth quarter of 2019 to the fourth quarter of 2021, thisstudy analyzes the spatiotemporal evolution of economic resilience at different timescales in the Bohai Rim region, and explores the main factors influencing regional economic resilience. The conclusions are as follows: 1) Economic resilience in the Bohai Rim region exhibits significant fluctuations on a quarterly basis, with Beijing and Tianjin experiencing greater volatility than other provinces. However, from an annual perspective, changes in the overall economic resilience of the region are relatively minor, and the differences in annual economic resilience among the provinces and cities are not pronounced. 2) The northern part of the Beijing-Tianjin-Hebei urban agglomeration displays high levels of economic resilience both quarterly and annually, consistently demonstrating a "high-high" clustering in terms of economic resilience. The middle and southern Liaoning urban agglomeration overall shows a lower level of resilience, yet the overall trend is positive. The Shandong Peninsula urban agglomeration, on the other hand, exhibits considerable internal differences in economic resilience levels. 3) While the diversification of industrial structures has a dampening effect on quarterly economic resilience, social consumption and government regulation contribute to enhancing it. Differently, there is an inverted U-shaped relationship between the advancement of industrial structures and annual economic resilience. Along with the level of industrial advancement increases, the positive impact on annual economic resilience gradually diminishes. Additionally, the positive effects of technological innovation manifest with a certain delay, and an increased level of openness to the outside world does not favor the enhancement of annual economic resilience during the pandemic period.

The study examines the clustering characteristics and formation mechanisms of knowledgeintensive manufacturing industries at various scales. The results show that: 1)The computer industry has the highest agglomeration intensity, and the agglomeration intensity of each industry in Beijing-Tianjin-Hebei is higher than that in the Yangtze River Delta and Pearl River Delta regions. 2)At the city cluster scale, industries are primarily concentrated within a 100 km radius. 3)City-scale industries are mostly concentrated within a 40 km radius, with a small number of industries clustering in peripheral areas. The Beijing-TianjinHebei region exhibits a 'spreading type' agglomeration, while the Yangtze River Delta is of 'local type' and 'multi-centre type', and the Pearl River Delta is of 'multi-centre type'. 4)The scale of city clusters is determined by regional resource endowment and comparative advantages. The characteristics of agglomeration in each city scale vary depending on spatial differences in production costs, industrial policies, and local protectionism.

This paper attempts to integrate digital economy and manufacturing production into a unified analytical framework, reveal the temporal and spatial evolution law of China's digital economy and manufacturing production efficiency based on the perspective of dynamic evolution, construct two transmission paths of technological innovation and human capital, and use the spatial econometric model and the intermediary effect model to interpret the spatial effect and test its heterogeneity from the mechanism. The results show that: 1) From 2011 to 2020, Chinese digital economy presents a very obvious rapid development trend. 2) The development of digital economy not only improves the production efficiency of local manufacturing industry, but also has significant positive spillover effect on manufacturing production in surrounding areas. 3) The development of digital economy in the eastern and central regions has a significant positive effect on the improvement of manufacturing production efficiency. 4) Technological innovation and human capital are the mediating variables for digital economy to promote the improvement of manufacturing production efficiency.

The development of information technology has profoundly changed human production and lifestyle as well as socio-economic organizational models, bringing about a drastic transformation of urban and regional space. Based on the equity correlation data of digital economy enterprises in the Yangtze River Delta, this paper constructed a weighted digital economy industrial investment network with prefecture-level cities and counties as the study units. This paper studied the evolution characteristics of the network of the digital economy of the Yangtze River Delta from 2010 to 2020, and summarized three spatial expansion modes of core expansion, node expansion and edge expansion. The research findings are as follows: (1) From 2010 to 2020, the polarization process of the Yangtze River Delta digital economy network gradually slowed down, and the network gradually became stable and centralized. (2) The core region of the Yangtze River Delta digital economy network basically covered Jiangsu, Zhejiang and Shanghai. (3) The Yangtze River Delta digital economy network presents a "diamond + radial" spatial structure, and the triangle formed by Shanghai, Hangzhou and Ningbo occupies the center of gravity of the entire structure. (4) The overall network of the Yangtze River Delta digital economy has experienced a stage of focusing on core expansion and paying equal attention to core expansion and node expansion.

The multi-participation and multi-format integration of rural tourism operations in metropolitan suburbs are becoming prominent. This study constructs a framework to analyze the characteristics and differences in sustainability of rural tourism operations among different groups. The results shows: 1) For the operator sustainability, young people perform better than elderly while outsiders perform better than locals. The differences in age and origin imply inherent differences in entrepreneurial willingness and capital strength; 2) There are correspondences among operating formats, employment methods and operation methods. B&B presents as production employment and online operations, while farmhouse resort is self-employed and offline-dominated. 3) The spatial quality and renewal capability of homesteads are linked to whether tourism operations can avoid obsolescence or achieve upgrades. Spatial reproduction process reflects the struggle between home space and operating premises, as well as a zero-sum game of ritual order and capital logic; 4) The operating Groups I, II, and III respectively corresponds to high, medium, and low operating income, forming an overall sustainability difference in rural tourism operations of Group I ＞ Group II ＞ Group III.

The sustainable and stable growth of farmers' income is important to further consolidate the results of poverty alleviation areas and achieve rural revitalization in poverty alleviation areas. This paper constructs an analytical framework for farmers' income growth based on theoretical analysis, uses data from 80 counties in rocky desert poverty alleviation areas to measure farmers' income growth impetus and its combined relationship with the Weaver-Thomas model, and uses the grey correlation model to verify the correlation between the structure of farmers' income growth impetus and its stability with the level and growth rate of farmers' income, and then explore the spatiotemporal development characteristics of farmers' income growth impetus in the study area. The study shows that:1) The growth of farmers' income is driven by five types of factors, including the development of non-agricultural industries, the development of agricultural industries, capital investment, infrastructure, public services, and so on. 2) There is a significant positive correlation between the share of the main drivers of farm income growth and the level of farm income. 3) There is a significant negative correlation between the stability of the driving structure of farm income growth and the growth rate of farm income. 4) There is spatiotemporal heterogeneity in the structure of farm income growth impulses within a given geographical area.

Urban renewal is an important driving force for the transformation and reconstruction of urban space in China. As a key link, the renovation of old industrial areas in cities has enormous potential for revaluation, which becoming a sought after target for local governments, enterprises, and other multi-interest entities. In this context, the theory of production of space provides a new method and perspective for researches on urban renewal, which was becoming an important theoretical tool for explaining spatial phenomena, spatial problems, and operation mechanisms that occur in the process of urban renewal. The theory holds that space is the production of society, and constructs the theoretical framework of the production process of material space, spiritual space, and social space, known as spatial triadic dialectics. In order to gain a deeper understanding of urban renewal mechanism, this paper constructs an analytical framework for the interaction between multiple factors from different levels of perspective based on the Lefebvre's space production theory, and takes Yaohai old industrial area in Hefei City as an example, and it is deconstructed from a multidimensional analysis and deduction on the transformation process, and this paper proposes a conceptual model of spatial reproduction mechanism in the renewal process of the old industrial areas. The results indicate that:the spatial representation of old industrial areas in the city is reflected in the spatial conception of government based on public interests, while the representational space is the spatial reshaping in the game of multi-benefit subjects, and spatial practice is the spatial creation under the domination of government power.

The evolution and development of agricultural industrial clusters is an important issue in the current agricultural development of China, and it is also a hot topic in economic geography research. Agglomeration and enterprise derivation are prominent features and decisive forces to the evolution and development of clusters. However, previous studies have mostly regarded enterprise derivation as one of the factors of cluster growth, and therefore have not fully analyze the process of enterprise derivation. Based on in-depth interviews, case studies and relevant enterprise data, taking Yongfu high mountain tea cluster in Zhangping City, Fujian province as an example, this paper firstly discusses the evolution process, types and path characteristics of enterprise derivative of Taiwan capital driven agricultural cluster, then discusses its formation, evolution and closure in combination with the changes of local institutional environment. Results show that, the evolution and development of Zhangping Yongfu high mountain tea cluster is accompanied by the collaborative evolution of enterprise derivation, institutional environment and cluster closure.

This paper constructs local and transboundary network of green technology innovation cooperation in the Yangtze River Delta, and explains the characteristics of network structure evolution and space linkage mechanism. The results show that: 1) The local network tends to be mature, and presents in space the coreperiphery structure and the strong-strong connection between the core nodes; The transboundary network grows rapidly, and the spatial characteristics are from sparse radial, supplemented by sparse closed-loop innovation links. 2) The interaction between local and transboundary network is enhanced. The development of transboundary network also gradually increases the average network status of node cities in the local network. 3) Cities with high network status in local network play the role of "middleman" in localtransboundary network, and cities with high recursive centrality high recursive power play the role of technology goalkeeper in local-transboundary network.

Scientifically evaluating the resilience of the tourism industry and exploring its influencing factors is an important link in promoting the high-quality development of tourism in the Yellow River Basin. This paper builds a tourism industry resilience index system based on the PSR model, and kernel density estimation, spatial Markov chain, GWTR and other methods are used to characterize the evolution trend, and analyze the driving factors of tourism industry resilience in 80 prefecture level cities from 2005 to 2020 in the Yellow River basin. Findings indicate that: 1) The resilience level of the tourism industry in the basin shows a slow upward trend, and the polarization phenomenon in the whole Yellow River basin and the middle reaches of the Yellow River has slowed down at the end of the study period, but the overall coordination of the resilience of the tourism industry in the Yellow River basin needs to be strengthened, and the key points to alleviate the resilience differentiation phenomenon in the basin are located in the upstream and upstream areas. 2) High level cities with resilience have evolved from regional "agglomeration" to "contiguous" distribution, while low level cities have developed from "multi center" to "single center". Resilience exhibits a phenomenon of "club convergence" in spatial evolution between high and low aggregation, and there is a certain degree of "Matthew" effect in the continuous transfer process. 3) The degree of influence of each driving factor is in order of urban digital infrastructure>government behavior>Chen urbanization>tourism industry agglomeration>environmental regulation; Locally, the wave direction and action intensity of each driving factor vary at different time and space.

However, the academic study had not paid sufficient attention to the evolution path and dynamic mechanism of industrial clusters in ORBA. Based on the theoretical perspective of co-evolution, this paper constructs an analysis framework of "institution-enterprise-network-technology-space", and uses qualitative research methods such as participatory observation, in-depth interviews, and literature analysis to explore the evolution path and dynamic mechanism of Nankang furniture industry cluster, which locates in the South of Jiangxi ORBA. The research found that the evolution of Nankang furniture industry cluster in Jiangxi has experienced three stages: Path creation (1993—2006), path growth (2006—2016) and new path creation (2016 —present), which respectively promoted the initial development of traditional industries, cluster development and high-quality development. Regional culture and entrepreneurship, market network and national policies, technological innovation and globalization forces are the main driving forces for the three stages of cluster evolution.

This paper investigates the OFDI location and the determinants of private enterprises in Jiangsu Province. We use social network analysis method to examine the evolution characteristics of the OFDI network of 147 private enterprises in Jiangsu Province over the year of 2015 and 2019. This paper argues that the location choice of Chinese enterprises' OFDI is a self-selection process with multiple factors jointly constraining and matching regulation. This paper emphasizes the interaction of host country location advantages, enterprises' investment motives and heterogeneity, affecting enterprises' OFDI location choice. The data for the sample in this paper comes from China Stock Market & Accounting Research Database, the data on FDI and OFDI flow from the Statistical Yearbook, and the data on host countries from the Global Governance Report and WDI. There are some findings in this paper as follows: 1) The OFDI network of private enterprises in Jiangsu Province shows a trend of spatial expansion and diversification, reflecting the complexity of location selection mechanisms. 2) The OFDI driven paths of private enterprises in Jiangsu Province are grouped into three categories: 'Advantage seeking under institutional motives', 'natural resource seeking for high productivity enterprises' and 'market seeking for internationally experienced enterprises'.

Human economic geographical system is a complex open giant system. Traditional mathematical methods cannot explain and describe its seemingly disordered existence form and running process. In general, the monomer is in the process of change, the grassroots level shows chaos, and the macro level shows certain certainty or regularity, which constitutes the basic characteristics of the human economic geographical reality space. Compounded together, they not only enhance the complexity of the spatial system, but also become a source of fractal dimension. In fact, human economic geographical space is a final performance of phase transitions and criticality phenomenon in social economic system, and the fractal dimension is the reflection of the self-similar feature. To deeply understand this complex system full of nonlinear features and processes, this paper introduces the performance form, cognitive process and basic mathematical description of human economic geographical system. Also, this research has a summary and discussion for its measurement methods:Fractal of theoretical basis, calculation method, application "circumstance" and research development. From the mathematical point of view, fractal is mainly through the analysis of quantitative indicators with scale-free characteristics such as system singularity, evolution intensity, evolution dominance or subjectivity, to reflect irregular and difficult to measure spatial pattern changes and their evolution details.

Based on the theory of evolution and institutional economic geography, this paper constructs an analytical framework for the embedding mechanism of exogenous agricultural industry, focuses on Taiwan's high mountain tea industry in Yongfu Town, Zhangping City, and clarifies its embedding mechanism through field research and in-depth interviews. The research found that:1) Under the premise of regional natural endowment and historical foundation, external connections stimulated the occurrence of accidental events, which opened a window of location opportunity for the development of Yongfu high mountain tea industry. 2) The agglomeration effect caused by enterprise spinoff (fission spinoff, relationship spinoff, etc.) makes the Yongfu high mountain tea industry gradually embedding in the region, and the diversified development caused by the regional branching further deepens the embedding of the Yongfu high mountain tea industry. 3) In the process of embedding in the region of Yongfu high mountain tea industry, the support of the "service-oriented" government and the institutional arrangement of continuous improvement have played an important role in promoting.

This paper evaluates the comprehensive development level of producer services (CDLPS) in the Yellow River Basin (YRB) from the dimensions of development environment, scale, structure, benefit and potential, and then describes its exploratory spatial-temporal analysis; Using panel data regression, this paper discusses the impact of various factors on CDLPS in the whole basin, upper reaches and middle-lower reaches of the YRB. The results show that: The CDLPS at different spatial scales is increasing, but the development level is still low; In the five dimensions of CDLPS, the development potential is huge and the development scale is considerable, but the development structure, environment and efficiency are not good; The influence degree of each factor on CDLPS in the whole basin and sub regions is different; The degree of market development, the role of government and the level of urbanization play a great role in improving the CDLPS at different spatial scales, but the role of reform and opening up is weak; The promotion effect of knowledge intensity and information level on CDLPS needs to be explored.

The digital economy has become a new growth point and new engine for urban economic development under the new development pattern. The core firms of the digital economy are the foundation of the development of the digital economy. Based on the data of core firms of digital economy in Xiamen from 2000 to 2020, and 42 administrative streets (towns) as research units. Using spatial autocorrelation, kernel density, standard deviation ellipse and negative binomial regression model, this paper explores the influencing factors of spatial distribution, pattern evolution and location selection of core firms from a micro perspective, and compares the different influencing factors on location selection of different types of core firms in digital economy. The results found that: 1) The core firms of Xiamen's digital economy present the distribution characteristics of "one belt, one side and multiple points" and the "unbalanced" pattern of concentration within the island and scattered outside the island. 2) As it strengthens, the hot spot is expanding and the cold spot is shrinking, with obvious spatial locking characteristics. 3) The core firms of various types of digital economy are affected by their own characteristics, and their spatial layout and evolution have certain similarities and large heterogeneities. 4) Location factors, environmental factors, agglomeration factors, and policy factors have a significant impact on the location selection of core firms in the digital economy; Finally, Xiamen should be further leverage its ecological and environmental advantages, respect the differences in factors influencing enterprise location selection, rationally adjust and plan industrial and commercial land, and attract digital economy core enterprises to settle in.

As an emerging form of housing market, long-term apartment is an important guarantee for implementing the national housing policy of "rent and purchase simultaneously". Taking Shenzhen as an example, based on the data of long-term apartments, population, supporting service facilities and semi-structured interviews, this paper focuses on the spatial distribution and influencing mechanism of long-term apartments through kernel density, nearest neighbor distance, spatial autocorrelation, multiple regression and geographical weighted regression. The findings are as follows: 1) The spatial distribution of long-term apartments in Shenzhen shows the characteristics of spatial agglomeration, distance attenuation and type differentiation. 2） The spatial distribution of long-term apartments in Shenzhen is affected by traffic, location, population, industrial parks and land rent. Furthermore, the influence of the subway station gradually decreases from east to west, the influence of the supermarket mall gradually decreases from west to east, and the influence of population gradually decreases from north to south. 3) Finally, using land rent theory and new consumer theory, from the perspective of supply and demand, combined with three different types of economic zones in Shenzhen and five influencing factors in spatial distribution, this paper constructs the influencing mechanism of the spatial distribution of long-term apartments in Shenzhen.

Under the background of "double-circulation" development, thoroughly implementing the new development concept has become the key to promoting high-quality regional development. Based on the new development concept, this paper constructs the evaluation system of high-quality development in the Yangtze River Delta region, and analyzes the spatial-temporal pattern differentiation and its influencing factors of high-quality development in the Yangtze River Delta region from 2009 to 2019 by using mathematical statistics analysis and geographic weighted regression model. The results show that: 1) In the last decade, the overall level of high-quality development in the Yangtze River Delta region has been improved. 2) In the last decade, the spatial polarization phenomenon of high-quality development in the Yangtze River Delta region is obvious. 3) At present, the cities with relatively low level of high-quality development in the Yangtze River Delta are mainly affected by a number of complex factors, among which the lag of innovation development is the most critical factor that restricts the promotion of regional high-quality development. 4) The high-quality development of the Yangtze River Delta region is mainly influenced by factors such as population agglomeration, urbanization level and human capital investment, with obvious regional differences.

In recent years, the rapid development of communication and information technology has promoted the vigorous development of digital finance. Its spatial diffusion law is an important content of financial geography in information society. Therefore, based on the county digital inclusive finance index from 2014 to 2018, this paper investigates the spatial diffusion law and internal mechanism of county digital finance in Northwest China from the perspective of financial geography, hoping to clarify the current situation of rural digital finance development in underdeveloped areas. The results show that: First, there is spatial correlation in the development of digital finance in Northwest counties, and it shows an obvious diffusion phenomenon. Second, the wide use of Internet information technology is the main endogenous driving force for the development and diffusion of rural digital finance, but its effective play will be affected by the traditional financial geographical structure. County digital finance will take the lead in developing in areas with dense spatial distribution of traditional financial institutions, which is significantly reflected in two dimensions: Coverage and use depth. Third, the level of infrastructure and education is an effective driving force, which can promote digital finance to expand the geographical boundary of services. Fourth, from the perspective of subdivision dimension, the role of infrastructure driving force is only reflected in the coverage, while the role of education level is significantly reflected in the coverage and use depth. However, at present, they can not effectively promote the diffusion of digitization to areas with poor traditional financial foundation.

The integrated development of "culture-tourism-science and technology" (referred to as "culturetourism-science and technology") industry in urban agglomeration is accompanied by the formation and development process of urban agglomeration. In this paper, the basic principle of the rising law of "culture-tourism-science" industry integration development level in urban agglomeration is analyzed, and the mathematical model is constructed to obtain its geometric expression. Then, the evaluation index system of "culturetourism-science" industry integration development in urban agglomerations is constructed, and the integrated development level of "culture-tourism-science" industry in cities and urban agglomerations in China is calculated by using the coupling coordination degree model improved by introducing time adjustment coefficient, and the evaluation results are analyzed in time and space by Arcgis10.2. Finally, the method of simulation verification is used to fit and verify the rising rule of "culture-tourism-science" industry integration development level in China's urban agglomerations.

Using the industrial investment date from industrial and commercial enterprise registration system from 2000 to 2019 to construct the industrial investment network of Beijing-Tianjin-Hebei urban agglomeration, this paper used the social network analysis method to analyze the temporal and spatial evolution characteristics and industrial differences. On this basis, the QAP regression model was used to reveal the influencing factors of industrial investment network. The main conclusions were as follows: The scale of industrial investment had been growing in stages, and the scope of investment had been enlarged. The investment pattern had evolved from a mononudera radiation network to a "two-layer triangular interconnected radiation network". The core periphery structure was obvious, but the polarization phenomenon was gradually weakened. Beijing was a "large-scale output" city, Shijiazhuang was a "small-scale output" city, Tianjin, Baoding and Tangshan were "large-scale input" cities, Cangzhou, Langfang, Zhangjiakou, Qinhuangdao and Xingtai were "small-scale input" cities, and Hengshui, Chengde and Handan were "small-scale equilibrium" cities. Industrial investment network had industry heterogeneity. The manufacturing industry presented a hierarchical radiation network, while the scientific research and technical service industry presented a mononuclear radiation network with Beijing as the core.

This paper studied the spatial economic linkage and pattern characteristics between Chinese northeast provinces and Russian Far East federal district during 2010—2019. Firstly, the regional economic grade of Russian Far East federal subjects was evaluated by the economic grade index. Then based on the economic linkage intensity, this paper analyzed the economic interaction between Chinese northeast provinces and Russian Far East federal subjects. Finally, geo- economic matching model was studied between Chinese northeast provinces and Russian Far East federal subjects. The results are as following. First, the polarization is obvious between the prosperous developed federal subjects and the stagnant faraway federal subjects. Second, the economic linkage intensity between Chinese northeast provinces and Russian Far East federal subjects has been increasing from 2010 to 2019. Finally, most of the Far East federal subjects and Chinese northeast provinces belong to the geo-economic complementary type.

Optimizing the population distribution in the process of regional integration, is one of the important measures to promote the high-quality development of economy and society. The Yangtze River Delta Urban Economic Coordination Committee (UECC for short）, as the cooperation framework of the Yangtze River Delta, can define the research scope and present the essential characteristic of integration as well. Based on the urban population data of the Yangtze River Delta from 1990 to 2017, this paper uses the DID model to measure the effects of integration on urban population growth from multiple perspectives, and explores the internal mechanisms. The major conclusions can be drawn as follows: 1）On the whole, joining the integration process can significantly improve the growth of urban population, the regression results shows that the larger the urban employment is, the more significant the effects of population growth are. 2）The time evolution of population shows that the significance of integration effects turns from positive to negative. And the population growth effects of different batches is manifested the tendency of growing at the first and then declining. 3）Theoretical analysis presents that the agglomeration and dispersion of development factors in the integration process leading to the rapid development of economy, is an important mechanism to the growth of urban population.

Housing has an important social stability function, and the relationship between its market development and economic growth is the key to achieving higher-quality urban development and smoothing the domestic cycle. Using spatial variogram, allometric growth model and enhanced regression tree model to explore the spatial and temporal patterns and evolution mechanism of the three in the Yangtze River Delta from 2008 to 2018. The results show that: 1) The spatial patterns of urban economic scale, residential prices, and residential rental in the Yangtze River Delta region have strong stability, showing a "one-pole multi-core" pattern. 2) In terms of vertical and horizontal heterogeneous rates, economic scale-residential prices and economic scale-residential rents are both dominated by negative allometric growth, the former's allometric growth coefficient is much higher than the latter. 3) Among the factors that affect the allometric growth of the three, technological development level, financial investment level, urban population scale, facility supply level, industrial development level and urban-rural income gap are the leading factors for the allometric growth between economic scale and housing market.

Digital transformation can provide a new direction for hotels to adapt to the new environment of mobile internet connections, meet changing customer expectations, and achieve cost reduction and efficiency enhancement. Strengthening the theoretical research of hotel digital transformation has become the focus of academic circles. The article obtains first-hand information through in-depth interviews with the managers of11 hotels that implement digital transformation, and then applies grounded theory to refine the important factors that affect the digital transformation of the hotel and build a theoretical model. The results show that environmental change is the external factor of the hotel's digital transformation, which provides an external condition for the hotel's digital transformation. Hotel resources, entrepreneurship, employee participation, hotel capabilities and strategic planning are the internal driving forces of the hotel's digital transformation. The mechanism of action is: The hotel formulates a strategic plan in line with the development direction of the hotel according to the changes in the external environment, and relying on its own resource base and ability elements, so as to meet the personalized and diverse needs of customers. After the hotel formulates a strategic plan, the effective implementation of the strategy is ensured by the intermediary of employee participation. Entrepreneurship regulates the hotel's strategic planning process based on resources and capabilities,and has a positive demonstrative effect on employee participation. The research conclusions help hotel managers make relevant decisions based on the influencing factors of digital transformation, and provide theoretical support for hotels to adapt to the era of digital economy.

The paper analyses the process of location choices of direct investment (LCDI). Existing literature mainly focuses on the determinants of location choices, but rarely unfolds the dynamic process of location choices. There is no doubt that LCDI is a dynamic process, rather than an instant accomplishment. Based on the relational perspective, this paper constructs a dynamic process model of LCDI, including three pillar:that is, relational connection, location coupling and interactive game. This paper reveals that LCDI follows the complex and dynamic process of relational connection, location coupling and interactive game. First, the relational connection between the enterprises and the destination of investment is a prerequisite for the enterprises to invest, and the structural hole is conducive to the formation of the relationship between the enterprises and the destination of investment. Second, the coupling of enterprises and the location factors is a necessary process of LCDI. Third, the interactive game between enterprises and the local government is an important process of LCDI, and the two sides must reach a consensus.

In the context of the gradual intensification of the competition between the homestay and hotel industry, it is necessary to analyze the spatial correlation characteristics and competition pattern of the two, with a view to achieving win-win and sustainability in the urban tourism accommodation industry. Based on above, this paper uses GIS spatial analysis technology and GeoDetector to describe the evolution characteristics of the spatial competition pattern of homestay and hotel industry from a micro-scale and detect its influencing factors. The research found that:1) Both the homestay industry and hotel industry in Shanghai tend to evolve in clusters, the former tends to be located around scenic spots, while the latter tends to be located around urban commercial centers. 2) From 2010 to 2020, the degree of competition between the homestay and hotel industry has gradually intensified. The form of spatial competition between the two has experienced the residual competition of space almost monopolized by the hotel industry, and developed into the coexistence of non-residual competition and residual competition, and finally formed a coexistence state of spatial competition and spatial dislocation. 3) Cultural and tourism endowment, commercial facility and population agglomeration are the main factors affecting the micro layout of the homestay and hotel industry, followed by land price and traffic condition.

Croatia is the hometown of Marco Polo. As an important country in Central and Eastern Europe and an important stop on the ancient Silk Road, Croatia plays an important role in promoting the effective implementation of the Belt and Road Initiative. Based on the data of trade and investment cooperation between China and Croatia from 2013 through 2020, this paper analyzes the complementarity and competitiveness of trade and investment cooperation between China and Croatia. The results show that:Since the establishment of diplomatic relations between China and Croatia in 1992, the cooperation in trade and investment between the two countries has developed steadily and achieved good results. In recent years, although the coronavirus has caused an all-around impact on global international trade, and the global trade in goods and services has shrunk substantially, trade and investment between China and Croatia have continued to increase. Moreover, China is at a relatively core position in China-Croatia trade and investment cooperation, while Croatia is at a relatively marginal position. Besides, the cooperation in trade and investment between China and Croatia is complementary and has great potential for future cooperation. At present, the trade and investment between China and Croatia is developing steadily, but there are still some problems. In view of the problems existing in the trade and investment cooperation between China and Croatia, this paper puts forward policy suggestions on further expanding cooperation in the fields of trade and cooperation between China and Croatia, and strengthening cooperation between both sides in competitive industries, infrastructure projects, tourism and service outsourcing.

The different performances of enterprise migration are important scientific issues in economic location theory and regional development policy. In the past few decades, the enterprise migration performance and its influential factors have aroused increasing scholarly concern. Based on this, this paper analyzes the differences in the performances of industrial transfer among different industries in different regions, and the causes by comparing the rate of putting into use of enterprises and the theoretical deduction of spatial profit boundary, from the micro perspective of enterprise migration. The results show that there are differences in the performances of enterprise migration among different industries, and the production situation of chemical and non-metallic mineral products enterprises is better than that of general equipment manufacturing and special equipment manufacturing enterprises. It reveals that the low sticky enterprises have more spatial profits than the high sticky enterprises, because they have less industrial interconnection and higher labor intensity.