The Healthy China Strategy is an important deployment to help the great rejuvenation of the Chinese nation in the process of realizing Chinese-style modernization. The issue of people's health has always been attached great importance by the Communist Party of China (CPC) Central Committee and the nation,and the construction of Healthy China has become a dynamic system project with multi-level,all-round and three-dimensional development. The continuous development of theoretical construction and practical actions has contributed to the great achievements in the practice of people's health in China. However,the connection between the theoretical level and the practical level of construction is still not strong,and the dynamic vision of Healthy China Strategy needs to be supplemented. From the multi-dimensional perspective of the four-type health modes of "mental health,diet health,physical health and environmental health",this study proposed to build a life community to realize the health of the whole life cycle of the whole people,with the guideline of prevention as the priority,treatment as the supplement and support as the basic,and advocated the proper adjustment of residents' plant-based diet structure,health awareness and behavior as the starting point of basic practice,in order to promote the comprehensive realization of the healthy China strategy.

To examine the regional supply-demand balance of food from the perspectives of food type and food nutrition is an effective attempt to practice the big food concept and promote the supply-side structural reform in the agricultural sector. In this paper, the production and consumption of 8 food types and 3 nutrients in 11 coastal provinces were measured by using food type accounting methods and food nutrition transformation models. On this basis, this paper explores the supply-demand balance of food types and food nutrition,integrates and compares the differences of food type and food nutrition, and further explores the path of restructuring food supply and demand in coastal areas. The results show that: 1) In terms of production, it had a large production of food type in many coastal areas, it has larger nutrition production in Shandong, Jiangsu and Hebei, and smaller in Fujian, Hainan, Tianjin and Shanghai. 2) In terms of consumption, it has relatively high consumption for food type and nutrition in Guangdong, Shandong, Jiangsu, Hebei and Zhejiang. Population is the first factor determining food consumption. 3) In terms of the supply-demand balance,the supply of vegetables, fruits and aquatic products in coastal areas is sufficient, but edible oil is seriously insufficient. It had large surpluses in many types in Shandong, Hebei and Liaoning, while it has large shortages in most types in Guangdong. In terms of nutrient supply-demand balance, protein is better than energy and fat, but overall, the self-sufficiency of food nutrition is not optimistic and superimposed on the problem of nutritional imbalance. Food nutrition surplus is mainly concentrated in Shandong and Jiangsu, nutrition deficits is mainly concentrated in Guangdong. 4) It should follow the principle of "consolidating strong points and supplementing weak points" on the supply side and "promoting healthy diet and reducing food waste" on the demand side to adjust the supply-demand structure of food in coastal areas.

The geo-economic influence power has increasingly become an important research content for safeguarding the national security,assisting the national geo-strategic decision-making and clarifying the national geo-environment. Based on national strength,international trade,investment,aid,loans and other data and indicators,this paper constructs an analytical framework and quantitative model of geo-economic influence power from the two aspects of the influence power implementation and the influence power implementation effectiveness,and takes China,the United States,India and Pan-South Asia countries as examples to study the implementation,effectiveness and evolution of their geo-economic influence power. The findings are as follows: 1) In the aspect of influence power implementation,the sensitivities and vulnerabilities among China-the United States-India and the "Pan-South Asian" countries reveal a distinct realism,and different years have their own emphasis and choices on the influence and "construction"of Pan-South Asia countries in different years. 2) In the aspect of the influence power implementation effectiveness,the "Pan-South Asian" countries' responses and reactions to the power influenced by China,the United States and India vary,and there is a tendency of "great power balance and multi-bilateral betting" in their dependence and reliance. 3) In terms of influence power evolution,China,the United States and India have obvious differences in the construction and solidification of their respective influencing areas,the influence power change situation and patterns are complex and heterogeneous.This paper concludes with a discussion of the sources of influence power,the process of its exercise and effectiveness,and the geo-economics of its application to the world.

Spatial structure not only affects regional economic development,but also affects regional technological innovation. Based on the panel data of 19 urban agglomerations in China from 2005 to 2020,this paper empirically analyzes the impact of spatial structure of urban agglomerations on regional technological innovation. It's found that: 1) After addressing the endogeneity of the model,the overall monocentric structure is conducive to technological innovation in urban agglomerations. 2) The results of heterogeneity analysis indicate that monocentric structure of urban agglomerations inhibits technological innovation in developed regions. In underdeveloped areas,by contrast,it is beneficial to improve the level of technological innovation. The polycentric structure can promote the improvement of regional scientific and technological innovation level in developed areas,while it is not conducive to the development of scientific and technological innovation in underdeveloped areas. 3) Further analysis shows that in the more developed urban agglomerations in the eastern region of China,the polycentric structure is beneficial for improving the level of regional scientific and technological innovation. The monocentric structure promotes the improvement of technological innovation level in urban agglomerations with relatively good development conditions in the central,western,or northeastern regions.

This paper uses the entropy weight method and SBM-DEA to measure the green finance level and the green innovation efficiency of the urban agglomerations in the middle reaches of the Yangtze River from 2006 to 2021, respectively. It assesses the spatio-temporal coupling coordination status between the green finance and the green innovation efficiency, and analyzes its driving factors by the means of the coupling coordination model, the spatial autocorrelation model and the spatial lag Tobit model. It is found that: 1) The coupling coordinated relationship between the green finance and the green innovation efficiency fluctuates but still shows an upward trend in urban agglomerations of the middle reaches of the Yangtze River, and there is a tendency for the upward state to weaken. 2) The coupling coordination level between the green finance and the green innovation efficiency ranges from low level to high level, from chaotic state to stable state in urban agglomerations of the middle reaches of the Yangtze River. It has the biggest the regional difference in Changsha-Zhuzhou-Xiangtan urban agglomeration, followed by Poyang Lake urban agglomeration, and Wuhan Metropolitan Area. 3) The influence intensity of positive driving factors from high to low is human capital, regional science and technology expenditure, government intervention, economic foundation, respectively. The negative driving factor is industrial structure. It puts forward some development suggestions: building the power system of coupled growth of green finance and green innovation efficiency, linking the core regions of each region to drive the neighboring regions, and establishing green industry alliance.

Innovation enclave is an important form of regional innovation cooperation,which is of great significance in promoting the flow of innovation elements among cities and building a regional innovation community. By collecting information about innovation enclaves in China,this paper discusses the evolution characteristics and formation mechanism of the intercity innovation enclave connections in China. The study finds that: 1) The intercity innovation enclave connections in China have been taking shape with urban agglomerations as the main spatial containers. The inflow cities and cities that have both inflow and outflow innovation enclave linkages have shown relatively scattered spatial distribution patterns,while the outflow cities have mainly distributed in clusters around the inflow cities. 2) The intercity innovation enclave connections in China have the characteristics of distance decay,convergent connection and preferential connection,and have gradually formed a multi-scale and hierarchical structure dominated by the flows from less-developed areas to developed areas with Beijing,Shenzhen,Shanghai and Hangzhou as the core,provincial capital cities as the important nodes and other cities as the general nodes. 3) The intercity innovation enclave connections in China are mainly influenced by functional distance and multidimensional proximity between cities. The innovation potential difference caused by the differences in urban economic development,scientific research input and scientific research output is the internal driving force for the formation of intercity innovation enclave connections. Geographic proximity,technological proximity and institutional proximity affects the selection of cooperation objects in innovative enclaves,which is the external forces to promote the formation of intercity innovation enclave connections.

Based on the data of Douyin ecommerce livestreaming marketing hosted by county government officials,this article uses the spatial classification,the kernel density,the location quotient,and the method of type partition to analyze the spatial pattern and influencing factors of Douyin livestreaming marketing hosted by county government officials. The results show that: 1) From the perspective of frequency and product types of Douyin livestreaming marketing,county government officials mainly sold the multi-type agricultural products and the proportion of multi-type reached 62.92%. 32.51% Douyin livestreaming marketing hosted by county government officials was about single-type agricultural product,4.57% was about two-type and three-type agricultural products. It had a wide range of agricultural products of Douyin livestreaming marketing in the counties of Hunan,Henan and Shanxi provinces. From the anchor type,the combination of county government official and professional host was the common mode,the combination of county government official and movie star was the least mode. 2) From the active degree of Douyin livestreaming marketing hosted by county government officials,most activities were just a passing fad. In 1138 county-level administrative units,66.87% only hosts one Douyin livestreaming marketing activity,1.05% hosts over four activities. Additionally,in terms of participant numbers,the majority of counties have 1 or 2 officials engaged in sales activities and a small number of counties have 3-5 officials participating in such activities. There were only four counties with more than five officials in livestreaming activities,namely Urad Rear Banner of Inner Mongolia Autonomous Region,Fenxi County of Shanxi,Jingyuan County of Gansu,and Zhongning County in Ningxia Hui Autonomous Region. From the perspective of official rank,there was not much difference in the frequency of participation in livestreaming activities among officials at different ranks,and the rank was not directly related to the degree of participation in livestreaming sales. 3) From the perspective of revenue of livestreaming sales,the overall spatial pattern showed a clustering feature of "two core areas and multiple growth poles",which not only formed two high-level density circles centered around Zhaosu County in Xinjiang Uygur Autonomus Region and Guangshan County in Henan Province,but also distributed several growth poles such as Yunxi County in Hubei Province,Lianhua County in Jiangxi Province,Changtai County in Fujian Province,Anren County in Hunan Province. 4) From the perspective of locational quotient of different types of products,government officials in the counties with national products of geographical indication participated in livestreaming sales activities with higher frequency,better participation enthusiasm and higher economic benefits. However,different types of geographical indication products led to different benefits in livestreaming sales activities. Specifically,government officials in the counties with geographical indication products of fruits and vegetables were more frequently involved in livestreaming sales activities and promoted huge economic benefits,while officials in the counties with grain,oil,livestock and eggs participated in live activities with in a small amount and the driving effect of livestreaming sales was not significant. 5) From the perspective of influencing factors,the main factors were the scale and frequency of livestreaming activities,the number of national products of geographical indication and the educational background of officials. The secondary factors were the level of livestreaming ecommerce,the industrial foundation and the context of internet marketing,and some factors such informatization level,government policy and the level of technological innovation capability did not have significant explanatory power.

Using the method of vertical-horizontal classification method,this paper constructs a evaluation index system of economic development quality level at the municipal level,which is composed of 38 specific indicators. According to the methods of Dagum Gini coefficient,traditional Markov chain and spatial Markov chain,Geodetector,it analyzes the spatiotemporal evolution pattern and driving factors of economic development quality at the municipal level in China from 2000 to 2019. The results show that: 1) From 2000 to 2019,the quality of economic development at the municipal level in China has continuously improved. The order of economic development quality level from high value to low value in the eight major economic regions is the eastern coastal region,the southern coastal region,the northern coastal region,the middle reaches of Yangtze River,the middle reaches of Yellow River,the northeastern region,the southwestern region and the northwestern region respectively. There is a significant spatial agglomeration of economic development quality at the municipal level in terms of spatial distribution. 2) The economic development quality at the municipal level in China is characterized by a ladder pattern in the east of China and the west of China. The high-level cities show spatio-temporal differentiation which takes the Yangtze River Delta,the Pearl River Delta and Shandong Peninsula urban agglomerations as the radioactive expansion centers. 3) The order of average Dagum Gini coefficient from high value to low value in the eight major economic regions is the northwestern region,the southern coastal region,the southwestern region,the northeastern region,the eastern coastal region,the middle reaches of Yellow River, the northern coastal region and the middle reaches of Yangtze River. The spatio-temporal differentiation is gradually decreasing over time. 4) The level of economic development quality at the municipal level in China is difficult to increase step by step,and the phenomenon of "club convergence" of "high gathering,high driving low" is obvious. 5) Industrial agglomeration,fintech,city level,opening to the outside world, and distance from ports can significantly affect the quality of economic development at the municipal level in China.

Taking the five major urban agglomerations in China as a case study and based on the refined carbon emission and land use landscape raster data,this paper uses the super-efficiency SBM with undesirable output model to measure the urban CEP from 2005 to 2018,and uses the landscape index to quantify the urban land use landscape pattern,and then combines with the kernel density estimation and the Theil index to reveal the evolution of the urban agglomerations' CEP and the land use landscape pattern. It analyzes the relationship between urban land use landscape pattern and CEP by the means of the linear fitting regression and Pearson's correlation. The results show that: 1) The CEP of the five major urban agglomerations shows an upward trend,but its overall level is not high,it presents the spatial distribution pattern of "high in the east of China and low in the west of China", the CEP shows the bigger difference in the urban agglomerations than that among five urban agglomerations. 2) During the study period, the differences of landscape indices gradually narrow among and within the five major urban agglomerations. The total landscape area shows an upward trend,which is higher in the urban agglomerations of the eastern region than that in the central and western regions. The landscape shape index and the separation index both show an downward trend,which is the highest in Beijing-Tianjin-Hebei urban agglomeration and the lowest in the Pearl River Delta urban agglomeration. 3) The land use landscape pattern of urban agglomerations is closely related to the CEP and has regional heterogeneity. The expansion of urban construction land promotes the improvement of CEP in Beijing-Tianjin-Hebei urban agglomeration,the middle reaches of the Yangtze River urban agglomeration,and the Pearl River Delta (PRD) urban agglomeration. The complexity index and compactness index of the urban land use shape both inhibit the CEP except for the middle reaches of the Yangtze River urban agglomeration.

Rural revitalization requires high-quality rural-urban road construction as support. Based on the empirical data of the 2018 Chinese Labor-force Dynamic Survey,this paper analyzes the impact of rural-urban road construction on income increase and returning entrepreneurship. It's found that: 1) Rural-urban road construction can significantly promote the entrepreneurship of farmers returning home and increase their income,indicating that rural-urban road construction can enhance farmers' income through entrepreneurship. 2) Further research revealed thatentrepreneurship among returning farmers plays a partial intermediary role between rural-urban road construction and farmer income. In other words,rural-urban road construction can increase farmers' income by promoting farmer entrepreneurship. 3) It has the highest stimulating effect of rural-urban road construction on entrepreneurship in the west of China,followed by the central region,and the east of China,it has the strongest enhancement of farmers' income by road construction in the east of China,followed by the central region,and the west of China. The intermediary effect of returning farmer entrepreneurship on the relationship between rural-urban road construction and farmer income is significant in the central region and not significant in the east and west of China. Thus,to better promote farmer income through returning farmer entrepreneurship,the governments need to continuously increase the investment in rural-urban road construction,narrow the gap in entrepreneurial income between the central-western and eastern regions,and boost the rural revitalization strategy.

Tin ore is an important mineral resource for the development of China's new strategic industries. This paper constructs a complex network model of international trade in tin ore products from 2012 to 2021,takes the tin ore industry chain as the entry point,selects international trade data of five typical tin ore products,analyzes the overall and individual spatio-temporal evolution characteristics of the global tin ore industry chain trade,and explores the advantages and shortcomings of China in the global trade of tin ore products. The results show that: 1) There is a certain agglomeration effect in the international trade of typical products in the upstream,middle and downstream of the tin ore industry chain,but the agglomeration effect is low in the upstream of the tin ore industry chain and the trade efficiency is high in the middle and downstream of the tin ore industry chain. 2) Trade in the tin ore industry chain shows the characteristic of a small group,with a few countries dominating within the association,Germany and some European countries occupy an important position in the midstream and some downstream products. 3) China has an important influence in the global trade network of tin ore industry chain,especially in the control of downstream products,but it is highly dependent on imports in the supply of raw materials and lacks a certain voice in the trade of midstream products.

In the context of China's accelerated construction of a trade power,digital transformation is an important way to enhance regional trade competitiveness. This paper measures the level of China's provincial digital transformation and the level of regional trade competitiveness in 2011-2021,and analyzes their spatio-temporal evolution characteristics. Then,based on the perspective of economic policy uncertainty,it uses the spatial Durbin model to test the spatial spillover effect of regional digital transformation on trade competitiveness. The results are as follows: 1) There is a significant spatial correlation between the digital transformation and the trade competitiveness in various regions of China,which shows the characteristics of "high-high" agglomeration and "low-low" agglomeration. 2) The digital transformation not only improves the local regional trade competitiveness,but also has a significant spatial spillover effect on the trade competitiveness of neighboring regions. 3) Heterogeneity test shows that digital transformation has a more obvious driving effect on its neighboring regions in southern China and regions with high GDP development level. 4) In the current complex and changeable international economic environment,economic policy uncertainty shows a negative moderating effect on the impact of digital transformation on regional trade competitiveness. At last,the article proposes the corresponding countermeasures and suggestions to enhance regional trade competitiveness through digital empowerment.

In China,the number of distributed photovoltaic power plants (PV plants) is increasing gradually,and the economic benefits continues to improve. However,due to the influence of unbalanced distribution of solar resources and different electricity prices,the economic benefits of distributed PV plants is inequality at regional level,which leads to unbalanced development. This paper takes different types of distributed PV plants in different regions of Chinan as the research objects,constructs a general economic evaluation model,and analyzes the economic benefits and influencing factors of distributed PV plants. The results show that: 1) The distribution of solar resources in China is seriously uneven,and both coal-fired electricity prices and general industrial and commercial electricity prices varies greatly at regional level. 2) In most regions of China,distributed PV plants can meet the revenue requirements,but the revenue span is large and the imbalance between regions is serious. 3) Self-consumption ratio,generating hours and rent will affect the economic benefits of distributed PV plants to a great extent. It is suggested that there is a need for appropriate incentive/penalty measures at the policy level to balance distributed PV plants in different regions.

Based on the data of Eleme takeaway platform,this paper obtains the geographic location information of takeaway restaurants in central Changsha City in 2019 and 2023,and analyzes the spatio-temporal distribution and agglomeration characteristics of takeaway restaurants,and explores their influence factors by the means of the spatial lag model (SLM) and the spatial error model (SEM). The study shows that: 1)The distribution pattern of takeaway restaurants in Changsha City has gradually evolved from the pattern of "one main and two widths" to the pattern of "multi-core network structure". The pattern of "networking and equalization" is obvious. 2) There are obvious difference in the evolution characteristics of different types of takeaway restaurants,takeaway restaurants of local cuisine are highly concentrated in the city's traditional commercial centers,takeaway restaurants of foreign cuisine rely on residential areas,business districts to form an agglomeration,the gathering areas of fast food and snacks are gradually increasing,which is consistent with the overall change trend of urban takeaway restaurants.3) Population density,subway stations,shopping centers,leisure and entertainment facilities play a major role in explaining the overall spatial pattern of the takeaway catering industry,while the influence of factors such as housing prices,supermarkets,companies and enterprises,organizations and groups,colleges and universities,scenic spots,and lodging services is relatively weak. Related factors have the greatest impact on different type of the takeaway catering industry,the takeaway restaurants of fast food and snacks are the largest,followed by the takeaway restaurants of foreign cuisine,and the takeaway restaurants of local cuisine are the least.

Taking 14 municipal-level cities of Hunan Province as the research areas and based on the input-output of higher education in 2008-2022,this paper analyzes the fiscal investment intensity and the efficiency evolution of higher education using the higher education fiscal investment intensity index and the super-efficiency SBM model. The results indicate that: 1) The fiscal investment intensity of higher education in Hunan Province presents the characteristics of sustained growth on the whole,with the growth rate gradually slowing down. 2) In terms of spatial distribution of fiscal investment intensity of higher education,there are differences in the changes of fiscal investment intensity of higher education in different municipal-level cities. The fiscal investment intensity of higher education in Xiangxi are higher than other municipal-level cities in Hunan Province. During the research period,the proportion of regions with high- and medium-intensity investment increased by 7.14% and 50.00% respectively,while the proportion of regions with low-intensity investment decreased by 57.14%. 3) The fiscal investment efficiency of higher education exhibits the change characteristics of periodicity and volatility in Hunan Province,the Theil index shows a fluctuating downward trend,regional differences decrease as a whole. 4) There is obvious spatial disequilibrium in the fiscal investment efficiency of higher education in Hunan Province,but the spatial difference shrinks with time. Overall,it shows that the fiscal investment efficiency of higher education is higher in Changsha than that in other municipal-level cities in Hunan Province. The fiscal investment efficiency of higher education is higher in the northeastern region of Hunan Province,while the fiscal investment efficiency of higher education is relatively low in the western region of Hunan Province,it has the highest growth rate of investment efficiency in Yongzhou.

Research on spatial law and type characteristics can provide a direction for the macro-optimization of rural settlements. This paper analyzed the spatial distribution pattern and classified the types of rural settlements in Guangxi by adopting spatial analysis, landscape pattern index, cluster analysis and other technical methods. The main results are as follows: 1) The scale of rural settlements is generally small, with the spatial distribution pattern of large scale in the central and southern areas of Guangxi and small scale in the northeastern area of Guangxi. 2) The density of rural settlements shows the decreasing spatial trend from the southeast of Guangxi to the northwest of Guangxi in general. 3) The distribution of scale and density displays the spatial directivity of low altitude, gentle slope and suitable hydrothermal conditions, and is highly correlated with cultivated land resources and significantly different under different socio-economic factors.4) It also presents the overall characteristics of complex shape and high degree of fragmentation in the southeast of Guangxi, and relatively regular boundary and low degree of fragmentation in the northwest of Guangxi. Moreover, the structure of the eastern and northern transects of Guangxi is complex and diverse, while the central transects of Guangxi are relatively simple. 5) The rural settlements in Guangxi is classified into 6 primary type areas and 17 secondary type areas, it summarizes the regional characteristics of each type area, which provides a reference for the optimization of regional rural settlement space.

Digital economy is becoming a key factor in the development of economic society,while pollution reduction and carbon reduction are important constraints for high-quality development. Based on the emission intensity data of CO₂ and four types of typical atmospheric pollutants, this study measures the promoting effect of coordination of pollution and carbon reduction (CPCR) at the municipal level in China from 2013 to 2020, and uses the spatiotemporal dynamic entropy method to measure the level of digital economic development (DED) of at the municipal level. It analyzes the promoting effect and its spatial heterogeneity of local DED and spatially adjacent peripheral DED (peripheral WDED) on local CPCR by the means of Bayesian spatiotemporal causal forest model. The conclusions show that: 1) Both DED and CPCR show a growth trend,and their spatial patterns are both "lower in the west of China and higher in the east of China". 2) The promoting effects of local DED and peripheral WDED on local CPCR show the characteristics of "logarithmic function" and "S function", respectively. 3) The spatial distribution of the promoting effect of local DED conforms to the "Hu Huanyong Line" spatial structure,while the promoting effect of peripheral WDED show the distribution characteristics of 'lower in the western and coastal regions, and higher in the southwest and northern regions. To promote CPCR, it is necessary to strengthen support and optimization of the digital economy at multiple levels,including strengthening regional balance, paying attention to spatial spillover effects,and enhancing the regional radiation and driving effects of developed cities.

This paper measures the coupling coordination level of social economy and eco-environment in the Yellow River Basin's seven urban agglomerations from 2006 to 2020 by the coupling coordination degree model. It uses the methods of the modified gravity model,the social network analysis and the quadratic assignment procedure (QAP) to analyze the spatial network structure characteristics and influencing factors of coupling coordination between social economy and eco-environment. The findings are as follows: 1) During the study period,the coupling and coordination degree of social economy and eco-environment in the Yellow River Basin urban agglomerations showed an overall upward trend. The coupling coordination degree of urban agglomerations in Hohhot-Baotou-Ordos-Yulin and Shandong Peninsula was relatively high. The high coupling coordination degree within the urban agglomerations is basically concentrated in the provincial capitals. 2) The spatial network structure of coupling coordination of urban agglomerations in the steady construction stage is more complex than that in the guiding and cultivating stage. At the same time,the spatial connection of coupling coordination in each urban agglomeration has obvious geographical proximity and central city orientation. 3) The overall network density of the seven urban agglomerations is low,and the spatial connection within the urban agglomeration is weak, the core-periphery structure of urban agglomeration is obvious. 4) Geographical proximity and green innovation have always been important driving factors for the coupling and coordination network of urban agglomerations,while the differences in opening to the outside world and transportation facilities have an inhibitory effect.

This paper conducts a multi-scenario simulation of the ecological security pattern based on an analysis and simulation of the ecological elements of the Yangtze River Economic Belt in 2040 using the LUCC model and the MSPA-MCR method. The findings reveal that: 1) In 2020, the study area's current ecological elements are dominated by forest land (1052086 km²) and arable land (667456 km²), and the structural change of these elements is manifested by the continual decrease of grassland,water,and arable land, and the small increase of forest land. The change areas are mainly located in the upper reaches of Sichuan-Tibet area,Hengduan Mountains area, Qinba Mountains area,the middle and lower reaches of Wuling Mountains area,Huangshan area and the lower reaches of Yangtze River plain. 2) The area and spatial characteristics of ecological elements in 2040 are significantly different under different scenarios. The total area of ecological elements increases only under the production priority scenario and decreases under the other four scenarios. The expansion of ecological elements primarily takes place in the transition zone of different elements,while the shrinkage of ecological elements primarily takes place in the interface zone of construction land and ecological land. 3) 30 significant ecological source regions which have a combined area of 352573 km² and an average connectedness of 3.77 connect 69 ecological corridors,with an average length of around 260 km. Significant biological source regions mainly consist of forestland and grassland,which shows the big-block cluster distribution characteristic in the upper reaches of Yangtze River Economic Belt and the small-block cluster distribution characteristic in the middle and lower reaches of Yangtze River Economic Belt. 4) The ecological priority scenario and the integrated optimization scenario will result in a more complex ecological network,better connectivity of ecological sources and a healthier and more stable ecosystem pattern in the study area.

Based on the multi-source data such as government statistics,night light data and POI data,this paper analyzes the spatial differentiation and influencing factors of prize classification of rural homestays in Shaanxi Province from four dimensions of natural environment,resource endowment,regional transportation and consumption foundation. The results show that: 1) The spatial distribution of rural homestays in Shaanxi was unbalanced,and showed the characteristics of local agglomeration. 2) From the perspective of dynamic evolution,the agglomeration effect of the rural homestay scale in Shaanxi Province had been continuously enhanced,and the embryonic form of the homestay industry belt along the east-west direction of the northern foot of Qinling Mountain has begun to appear. 3) The spatial distribution of rural homestays in Shaanxi was influenced by the natural environment,the resource endowment,the consumption foundation and the regional transportation,and the dominant factors of the location of homestays at different prices are different. 4) With the increase of homestay price,the explanatory power of each index factor increases,and the ranking of consumption basic dimensions gradually rises to first place. 5) Rural homestay at all levels in Shaanxi had a strong dependence on scenic resource endowments,the influence of regional transportation becomes weak. Rural homestay has important functions such as revitalizing idle resources,increasing farmers' income,and spreading regional culture.

The Tourism decision-making of tourists is an important research field in tourism geography,and the effect of tourist sources on tourism decision-making is also an important reflection of the human-environment relationship. Based on the questionnaire survey data of homestay tourists in Yangshuo,Guilin,this paper comprehensively uses the structural equation modeling to analyze the impact mechanism of tourist loyalty of the homestay,with a focus on exploring the moderating effect of the location structure of tourist source. The conclusions are as follows: 1) There is a significant relationship between the experience quality,perceived value,satisfaction and loyalty for tourists of homestay. The experience quality of homestays enhances the perceived value of tourists,and the experience quality and perceived value increase tourist satisfaction. The physical environment of homestays and tourist satisfaction have both increased loyalty. 2) Perceived value plays a partial mediating role between experience quality and satisfaction. Satisfaction plays a complete or partial mediating role in the relationships between perceived value and loyalty,physical environment and loyalty,and social interaction and loyalty. 3) Location structure of tourist source plays an important moderation role in the loyalty mechanism of homestay tourists. The district distance of tourist source positively moderate the relationship between social interaction and satisfaction,while the cultural distance negatively moderates the relationship between social interaction and satisfaction. The regional distance plays a positive role in moderating the relationship between satisfaction and loyalty,while the economic distance plays a negative role in moderating the relationship between social interaction and perceived value.

Ethnic villages are the focus of tourism development and one of the main directions of rural revitalization. This paper analyzes the spatial changes and mechanisms of the "Production-Living- Ecological" space (PLES) in Dong Village of Zhaoxing from 2000 to 2020. The research shows that: 1) In the development process of rural tourism empowered by national culture,the village has been transformed from a single-function ethnic village with original features into a complex multi-functional ethnic village with tourism and farming functions. It presents new types of composite space which are production-living space and production-ecological space. The living space continues to expand,while the production space continues to shrink,the ecological space occupies the absolute main position,and shows the fluctuation trend. 2) The spatial structure of Dong Village is changing violently. The single dynamic index of living space,production-living space and production-ecological space is positive,while that of production space is negative. Except for the living space from 2000 to 2009,the single dynamic degree of all space types is much smaller than their comprehensive dynamic degree. 3) It mainly presents the landscape characteristics of the ecological space in Dong Village,the landscape change of living space is more obvious,especially from 2009 to 2020. It indicates that the land space is disturbed by human activities and the landscape fragmentation is intensified. 4) The natural geographical environment restricts the spatial evolution of ethnic tourism village,In addition,tourism market demand,government supervision and governance,interest subjects and Dong ethnic culture are the main factors of the spatial evolution of ethnic tourism village.

Based on the literature review and typical case practice at home and abroad,this paper constructs a theoretical framework of rural "community-space-building" planning,discusses the logical mechanism of rural planning driving cultural and tourism integration,and puts forward the implementation path and strategy to promote the integrated development of culture and tourism. It's found that: 1) Rural community planning adheres to the principle of "brand,foundation and style" integrated governance,which is the ideological force guiding the rural community to create the value of cultural and tourism integration,the modernization of basic service facilities and the optimization of village's "ecological,living and production spaces",and provides the groundwork for the subsequent rural spatial planning and rural architectural planning. 2) Rural spatial planning promotes the simultaneous development of "ecology,life and production",which is not only conducive to the in-depth development of cultural and tourism integration and rural revitalization,but also provides clear waters and green mountains for the entire human community, storing gold and silver mountains. 3) Rural building planning pursues multi-dimensional co-transformation of "overall architectural style,public building style and residential building characteristics",continues the traditional architectural historical style,displays the regional customs of public buildings,shapes the local characteristics of private residential buildings,which provides the core competitiveness for the integration of culture and tourism. Based on the above,rural planning can drive cultural and tourism integration,and cultural and tourism integration can help rural revitalization.