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  • HUANG Jie, LU Hongyang, LIU Huajun
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    This study integrates the “New” and “Quality” aspects of new quality productive forces, along with the constituent elements of productivity, into an evaluation index system. The development level of new quality productive forces in China’s provinces from 2011 to 2022 is assessed using the entropy weight method. Subsequently, the nonlinear Granger causality test is employed to examine the spatial correlation of new quality productive forces. Finally, the social network analysis method and exponential random graph model are utilized to analyze the structural characteristics and influencing factor of this spatial correlation network. The results show that the level of new quality productive forces in China has been rapidly improved during the sample investigation period, and the level of new quality productive forces in the eastern coastal area is relatively high. In the spatial correlation network, the eastern provinces mainly play the role of “engine”, while the central and western regions mainly accept the spatial spillover from the high-level regions. The spatial correlation of new quality productive forces is mainly one-way conduction, and the situation of “mutual benefit” coordinated development among provinces has not yet formed. In terms of the formation mechanism, improving the level of economic development, the proportion of tertiary industry, the level of marketization and the degree of opening degree will be conducive to the formation of the spatial correlation of new quality productive forces. The proximity of geographical distance and economic distance promotes the transmission of the spatial correlation of new quality productive forces among provinces, and forms internal circulation subgroups among provinces with similar levels.
  • NING Chaoshan, LI Kexin
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    Taking eight comprehensive economic zones in China as the research area, this paper constructs a new quality productivity index system based on new workers, new labor materials and new labor objects, and explores the development level, dynamic evolution, spatial differentiation and convergence of new quality productivity in eight comprehensive economic zones in China by using entropy method, kernel density estimation, Dagum Gini coefficient and conditional β convergence model respectively. The results show that: (1) The average development level of new quality productivity in eight comprehensive economic zones in China shows an increasing trend year by year from 2015 to 2022, and the development level in the eastern coastal area is the highest and that in the northwest area is the lowest regardless of the comprehensive level or the subdivision dimension of constituent elements; (2) The absolute difference in the development level of new quality productivity in each economic zone has become larger, while the relative difference has gradually narrowed; The difference between subgroups is the main source of the development difference of new quality productivity in eight comprehensive economic zones; (3) The development of new quality productivity in northern coastal areas, eastern coastal areas, southern coastal areas, the middle reaches of the Yellow River and the middle reaches of the Yangtze River is characterized by conditional β convergence; The β coefficient in the northeast, southwest and northwest regions is negative, but it fails to pass the statistical significance test, and there is no significant conditional β convergence effect. The research conclusion provides a basis for analyzing the temporal and spatial pattern of new quality productivity in eight comprehensive economic zones and has policy implications for promoting the coordinated development of regional new quality productivity.
  • ZHOU Bingfeng, SHI Jing, XIE Xinshui, LIU Sheng, CAO Qianqian
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    This study utilizes the entropy method to calculate the new productive forces within the Grand Canal cultural belt thoroughly exploring its spatiotemporal differentiation characteristics, leveraging the XGBoost-SHAP machine learning model, investigated the influencing factors to explore their interactive effects.Research indicates that the development level of new productive forces in the Grand Canal cultural belt follows a fluctuating growth pattern. In contrast to green productivity and technological productivity, digital productivity constitutes a significant proportion of the new productive forces.There are notable disparities in the development level of new productive forces across different regions. Some cities at the prefecture level in Beijing, Jiangsu, and Zhejiang Provinces excel in their development of new productive forces, while Henan and Anhui provinces lag behind. Furthermore, the level of new productive forces in various regions experienced a general improvement in 2020.The aggregation effect along the Grand Canal presents a “triangular” distribution phenomenon, and shows the development trend of “two corners of the aggregation folder dispersion”.The density of mobile phone users per one hundred individuals and total factor productivity emerge as predominant factors influencing the quality of new productive forces in the Grand Canal cultural belt, with interactions observed among these pivotal factors.This study provides insights into capturing the spatiotemporal differentiation characteristics of new quality productive forces, while also offering guidance on how to better navigate their development based on influencing factors.
  • WANG Kai, LIU Meilun, YE Jun
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    Based on China’s interprovincial panel data from 2010 to 2022, the entropy method, nonparametric Kernel density estimation, spatial autocorrelation, and Geodetector are comprehensively applied to explore the spatio-temporal evolution of China’s interprovincial common prosperity level and its influencing factors. The results show that: (1) During the study period, China’s interprovincial common prosperity level has been increasing year by year, and the differences in the interprovincial common prosperity level have been narrowing, with higher common prosperity levels in Beijing, Shanghai and Zhejiang, and lower common prosperity levels in Xinjiang, Gansu, Qinghai and Xizang. (2) There is a significant spatial correlation between interprovincial common prosperity level in China, and the correlation is “M” type evolution. (3) The core factors influencing the spatial differentiation of China’s interprovincial common prosperity level are the level of economic development, the level of opening up to the outside world, and digital inclusive finance; There are obvious differences in the influence of different factors on the spatial differentiation of the common prosperity level, and the interaction between the factors enhances the explanatory power of the spatial differentiation.
  • ZHAO Haidong, LI Qiaoxing
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    Some models are used to analyze the coupl-coordination degree and the influenc-factors among them in China provinces during 2015—2021. The results show that:(1)Digi-economy and scien-tech innovation of each region are significantly improved but the eco-environment level showed a fluctuating trend.(2)The coordination level of both the binary system and the composite system was increased, where digi-economy system is the most. (3)The spatial distribution of coordination level of the composite system showed that the east is higher than the center and the west, and the coast than the interior, and there is a positive correlation between the distribution and the development level for those regions.(4)The degree of the influen-factors, whose are govern-financ support, opence to outside world, economic development and advanced industrial structure, is obvious spatial difference and decreasing in order. Based on the coupling resulsts, proposed countermeasures to promote the coordinated development in each region and even in the whole country.
  • ZHANG Aoxiang, MIAO Chenglin, CHEN Zhengyan
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    Relevant data from 2016 to 2021 of 147 cities in 12 urban agglomerations in China are selected by combining the flow space data of economic and industrial flows with the urban green technology innovation efficiency grouping. Meta-Super-SBM model and social network analysis are used to construct a comprehensive urban flow-space matrix to analyse the ecological niche and spatial structure of cities. Results show that there is an obvious “club effect” in city clusters and urban ecological niches, with three types of urban ecological niches accounting for 43.54%, 6.12%, and 50.34% respectively; and that there are polarisation phenomena and lack of technological compensation in the development of city clusters. Based on the results , in order to enhance regional synergistic development, the research puts forward development proposals in terms of playing the role of the regional sub-core of the collection and distribution, and promoting the effective combination of technology and industry.
  • HU Xuhua, ZHANG Zuchong, LI Xin
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    The labor aggregation of advanced produce service(APS) in urban agglomerations provides strong support for the high-quality development of regional economy.Based on the data of 11 major urban agglomerations in China from 2012 to 2022, this paper uses the methods of Dagum decomposition,kernel density nonparametric analysis and spatial econometric analysis to study the spatial differences, distribution dynamics and spatial convergence of the labor agglomeration level of APS in urban agglomerations.Results show that: (1) From the perspective of spatial difference, the Gini coefficient of labor agglomeration level of APS in urban agglomerates shows an upward trend, in which the contribution of inter-group disparities is the largest, and the contribution of the hypervariable density is on the rise as a whole. (2) In terms of distribution dynamics, the labor agglomeration level of APS in urban agglomerations shows a downward trend, and the polarization phenomenon is not obvious in most urban agglomerations. (3) From the perspective of spatial convergence, there is no σ-convergence in the whole urban agglomeration and 10 urban agglomerations, but only in Hohhot-Baotou-Ordos-Yulin Urban Agglomeration. On the contrary, absolute β-convergence and conditional β-convergence don’t exist in Hohhot-Baotou-Ordos-Yulin Urban Agglomeration, and β-convergence exists in the rest.
  • WEI Jianfei, LIU Jiurong, LI Qiang, DONG Peipei
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    Taking the 105 counties (cities) in Henan Province as the research object, this paper uses the super-SBM model to measure the territory spatial efficiency and uses the modified gravity model and social network analysis to analyze the spatial correlation network from 2000 to 2022. The conclusion is as follows: (1) There are significant differences in efficiency gradients among different spaces from 2000 to 2022, with both spatial dynamics and heterogeneity characteristics coexisting. (2) The evolution level of the efficiency network transitions significantly, but each space is still dominated by a five level network with low connectivity levels, and the spatial correlation in the southern region of Henan is at the edge of the network. (3) The network density first increases and then decreases, and the spatial correlation network pattern appears, but there are still problems such as poor network structure stability and loose relationships. (4) The core position of the network presents a ribbon structure from Zhengzhou-Luoyang to Zhengzhou-Kaifeng-Xuchang, and Zhengzhou has always had a strong spatial spillover effect. Xinxiang and Xuchang are key nodes connecting the northern and southern regions of Henan. Moreover, the spatial clustering phenomenon between each plate is significant, but it has not formed a good cycle transmission framework.
  • ZHANG Shengnan, LONG Shihong, CAI Enxiang, MA Junke, LI Ling
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    As China’s urbanization progresses, some cities are experiencing the phenomenon of “urban contraction” in terms of population decline, overall slowdown in economic growth, and spatial changes. This paper summarizes the basic connotation of urban contraction, compares and analyzes the population contraction in the narrow sense and the comprehensive contraction in the broad sense of multi-dimensional demographic, economic and spatial contraction, and takes 342 prefectural-level cities in China as the object of study, uses the contraction model to identify various types of contracting cities in China during 2000—2020, and analyzes their spatial distribution characteristics and evolution patterns. The results show that: (1) In 2020, China’s extreme population and economic development areas will be distributed on both sides of the Hu Huanyong Line, and the high construction land area will be mainly distributed in the north. (2) 2000—2020, the narrowly contracted cities have moved westward spatially, with mild contraction, and the number of narrowly contracted cities from 2010 to 2020 will nearly reach half of the total number of cities in China. (3) The number of broadly-defined shrinking cities has exceeded half of the total number of all prefecture-level cities during 2000—2010, and the spatial evolution shows a trend of migration from south to north. (4) The total number of all kinds of shrinking cities shows an increasing trend, which is mainly caused by the increase in the number of absolute shrinking cities, and the spatial distribution of absolute shrinking cities varies significantly, among which the northeast region has been the main distribution area of all kinds of shrinking cities.
  • YUAN Wenbin, DU Jiusheng, WANG Yu, LIU Dingming
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    With the introduction of single threshold and four-level segmentation threshold, the accessibility and equilibrium of the pension institutions in Hechuan District were analyzed from two aspects of beds and workers by using two-step floating catchment area method, coupling coordination degree and Moran’s I. The results show that: (1) The accessibility of pension institutions presents a core distribution, decreasing from the core to the outside, and the overall accessibility is poor, and the accessibility differences among different regions were obvious, and the townships with relatively high accessibility were mainly distributed in the central districts and counties. (2) The supply and demand of pension in most towns and villages were in the stage of low coordination and coupling, the development space of elderly care industry is very large. (3) There is a positive correlation between the pension institutions and the elderly population density. Under the two thresholds, the township streets belonging to low-high aggregation and high-high aggregation are concentrated in the middle of the district. Pension resources in this region are relatively sufficient, but the number of beds for 1 000 people and the number of employees for 1 000 people in the whole region are low, and pension resources are in short supply. (4) It is necessary to strengthen the hospitals, parks, roads and other infrastructure of the township streets in the northern and peripheral areas of the district, create a good external environment for the construction of the pension institutions, shorten the time of residents to pention institutions, improve the accessibility of elderly care institutions, and promote the harmonious development of the township street pension industry in the region.
  • TAN Yun, WANG Jingxu, DU Jun
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    Based on the matching relationship between the spatial allocation level of facilities and the population distribution of community living circles, analyzed the distribution characteristics, spatial pattern, and the compatibility of supply and demand of facilities and proposed various facilities planning suggestions. The findings indicate that: ① All kinds of facilities exhibit a spatial agglomeration pattern characterized by “core concentration and edge diffusion,” with notable spatial disparities among different facility types; ② There is a mismatch between the supply of facilities and the needs of community residents, resulting in incomplete or uneven overall coverage within the built area; ③ The degree of alignment among various regions, facility types, and population distributions exhibits significant variation, with highly compatible living circles primarily situated in urban or district center areas, whereas those with mismatched compatibility are predominantly located in the urban fringe areas; ④ Following the addition of 103 kindergartens, 155 primary schools, 230 community health service centers, and 207 nursing homes and daycare centers, the adaptation of various facilities to the population has significantly improved. This study is expected to provide insights for Zhengzhou in achieving a “people-oriented” approach to new urbanization.
  • GU Kangkang, YANG Mengling, JING Yao, ZHANG Xinmu, DONG Dong
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    Based on the improved spatial syntax model (sDNA), the street image factor is introduced into the traditional feature price model, and the multi-scale geographically weighted regression model (MGWR) is constructed to explore the influence mechanism of street quality on the residential price by taking the downtown area of Hefei City as the study area. The results show that: (1) The street quality in Hefei city center presents the highest spatial distribution characteristics of the first ring of the old city, gradually decreasing to the periphery of the circle, and the edges show scattered high value areas sporadically distributed; (2) The global penetration degree, the green visibility rate, the sky openness, the interface enclosure, and the degree of pedestrian traffic perfection of the street quality characteristics are positively correlated with the price of the residential property, among which the sky openness has the strongest influence, and every 1.000% increase in the open visual area will lead to 0.222% increase in residential prices; (3) Sky openness with strong influence coefficients is high in the south and low in the north, global penetration is high in the southeast and low in the northwest, green visibility is high in the northeast and low in the southwest, and interface enclosure has a strong spatial heterogeneity distribution pattern.
  • GAO Yingjie, WU Boyang, XIE Qiulan, ZHANG Yu, FAN Lingyun
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    This article adds the consideration of multiple ways based on changing the two-step movement search method. Taking central urban area of Zhanjiang City in Guangdong Province as example, the accessibility of park green space is measured comprehensively from the supply and demand aspects, and the relationship between the distribution of park green space in the elderly group and different economic groups is further explored to explore its fairness. The results are as follows: (1) There is a significant “core-edge” bipolarization space difference in the park’s green space. It decreases from the center to the periphery. The concentration characteristics are obvious, but there are 16.34% of the “hidden blind zone” urgently needed to be eliminated. (2) According to the distribution of green space demand and resource supply, the park green space in the central urban area can be divided into three types: “enjoyable type”, “general type” and “scarcity”, the imbalance between supply and demand is the main factor causing the spatial differentiation of park green space accessibility. (3) Overall, there is a large distribution gap among the elderly groups in park green space, while the distribution gap between different economic groups is relatively small. (4) The low-accessibility and inequitable units in the central urban area should be transformed to high-accessibility-equitable by updating the planning layout of residential activity units, upgrading road construction and optimizing the layout of parks and green spaces in a differentiated manner.
  • SUN Yu, FENG Hui
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    Based on the specific historical line of the Red 25th Army Long March, through the comprehensive use of the ArcGIS 10.8 geographical information system software and subjective assessment methods, the paper conducts spatial layout and development paths analysis for the red cultural heritage point along the line, evaluate the current situation and development potential of protection, and explore the effective ways of development and spread of red tourism based on tourist behavior analysis. The results of the research show that the red cultural heritage along the Red 25th Army Long March route linear is distributed and multi-core gathering features along the line, providing a basis for tourism planning; the inheritance land along the line has the conditions for tourism development, easy to build the links between the inheritance point and the surrounding attractions, links between the lines and surfaces, create a red tourist area, and optimize the effective integration of red tourism resources. Based on the feedback of tourist review text, further demonstrate the construction of multiple inheritance points and scenic spots to build a tourist road area, promote the collaboration between red tourism and county tourism development.
  • CHEN Peiyao, LIU Xiaoqiong, LIU Qing, HU Yingchao, FAN Wei, ZHAO Jiarui
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    Based on ArcGIS, Ucinet and other software, using digital footprint data such as travel time, location, and text, and the inverse distance weighted interpolation method, social network analysis method and so on, a network structure diagram of tourism flow in Hunan Province is constructed to analyze the spatial distribution and spatial structure of Hunan Province from October 2001 to December 2022.The results show that: The spatial distribution of tourism flows in Hunan Province generally shows the characteristics of the core agglomeration in the west and northwest, the sub core agglomeration in the east, the centralized diffusion in the middle and south, and the marginalization diffusion in a small number of regions; Hunan’s tourism flow network is large in scale and low in overall density. The overall tourism flow network shows an obvious form of local concentration; Wulingyuan scenic area, Juzi Island, Yuelu Mountain, Ancient Town of Fenghuang and Heng Mountain play a great role in the divergence, agglomeration, connection, transit of tourism flow in Hunan Province; The accessibility of tourism transportation and the connection of scenic spots are the main factors that affect the structural characteristics of tourism flow. Based on these, the paper puts forward countermeasures for optimizing the network structure of tourism flow in Hunan Province from the aspects of improving the accessibility of scenic spots and building hot tourist areas, strengthening scenic spot marketing and narrowing differences in scenic areas.
  • CHEN Zhijian, MENG Yuan, YANG Dinghai, XIAO Yubing, YUAN Yizhe
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    91 national and provincial-level traditional villages on Hainan Island were selected as the research objects, and their distribution characteristics, influencing factors, and driving mechanisms were explored using methods such as GIS spatial analysis, geostatistical methods, and geographic detector models based on optimal parameters. The results show that: (1) Traditional villages on Hainan Island have strong spatial distribution imbalance and obvious clustering characteristics, showing an overall pattern of “high in the east and low in the west, high in the north and low in the south, with multiple points in one cluster”. (2) In terms of the connection between natural and cultural elements, most traditional villages on Hainan Island tend to be distributed in urban intersections or suburban areas with low terrain, abundant water sources, high vegetation coverage, and concentrated cultural relics units, and rely on county roads as connecting roads. (3) In terms of influencing mechanisms, overall, regional cultural influence is the strongest, followed by economic development level, and the natural environment is the weakest, with enhanced interaction between various factors. In the stage of the formation of traditional villages on Hainan Island, natural and cultural factors dominate the formation of villages, while natural factors, especially resource conditions, influence the development of traditional villages. Economic and cultural factors dominate the transformation and protection of villages. (4) Through comparative analysis of various provinces, cultural factors have a dominant driving role in Hainan Island and some southwestern regions, and cultural development should be valued, cultural diversity should be fully utilized, and cultural background should be protected.
  • NIAN Bohan, FENG Xinghua, WENG Yingying, JIANG Lizhen
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    Taking Wuyuan County in Jiangxi Province as a typical case, based on the fundamental information of rural homestay samples, employs a combination of traditional mathematical methods and spatial analysis to delineate the spatial differentiation characteristics of homestay prices. Furthermore, it delves into the underlying mechanisms influencing homestay prices and proposes strategies to promote high-quality development of rural homestays at the county level. The findings reveal that: (1) The disparities in rural homestay prices are concentrated along the east-west axis, exhibiting an overall spatial pattern of “higher in the east and lower in the west, higher in the south and lower in the north, and higher in the center and lower in the periphery”. High-priced homestays are primarily distributed in belts and scattered clusters, while low-priced ones are contiguously located in peripheral areas or embedded within high-priced regions. (2) Strong intra-regional correlations and notable agglomeration effects characterize rural homestay prices, with high-price clusters often grounded in tourism resources, whereas low-price clusters exhibit distinct transportation-oriented characteristics. (3) The geographical differentiation of homestay prices is a result of the interplay of multiple factors, with housing characteristics emerging as the dominant factor. Specific indicators such as environment, location, and neighborhood characteristics exert directional and heterogeneous influences on homestay prices. Consequently, in the development and construction of rural homestays, it is imperative to prioritize both differentiation and branding, emphasize market regulation and resource integration, and focus on facility upgrades and experience optimization, thereby driving the high-quality development of rural tourism.
  • XUE Qianming, NING Lei
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    Taking Gucheng Village in the Loess Plateau hilly-gully region of Longzhong as a case study, this research constructs a vitality assessment indicator system through field surveys and categorizes the village types. By introducing the concept of “dual restoration”in settlements, the study explores targeted pathways for the protection and development of the village. The results show that: (1) The village is currently in a state of inactivity, significantly affected by five factors: local ecological environment, protection of indigenous culture, economic vitality of the village, protection and development mechanisms, and villagers’ willingness and demands. The higher the scores of these factors, the higher the level of vitality in the village’s development. (2) Among the indicators influencing the vitality development of the village, the two most significant factors are historical culture and villagers’ demands, followed by ecological environment, economic industries, and protection mechanisms. (3) Based on the indicator system and the village’s current challenges, priority should be given to formulating development strategies for village protection in the region, tailored to local conditions, focusing on five aspects: ecology, culture, economy, mechanisms, and population.
  • FU Kejin
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    The ecological environment of the water source area of the Middle Route Project of South-to-North Water Transfer is directly related to the water quality safety of the whole middle route project. Developing green industries such as ecotourism is an important measure to promote the ecological environment protection of the water source area from the root. On the basis of studying the development of eco-tourism, the necessity of sustainable development of eco-tourism in water source areas was discussed. A SWORT analysis was conducted on the innovative development of eco-tourism in water source areas from four aspects: advantages and opportunities, disadvantages and threats. It was proposed that the innovative development of ecotourism in water source areas should follow the four basic principles of environmental protection priority, scientific development, and sustainable development and diversified development. Finally, the path selection for innovative development of ecotourism in water source areas was discussed from seven aspects.
  • YANG Jin, FANG Zhiyong, SHI Yuanbo
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    This paper explores the spatial distribution characteristics and influencing factors of the first, second and third batches of key demonstration villages of beautiful countryside in Anhui Province by using the methods of nearest neighbor index, unbalanced index, kernel density estimation and geodetector. It is found that: (1) The spatial distribution of the key model villages in Anhui Province showes clustering and unbalanced characteristics. Although the spatial distribution of each batch of model villages tends to be balanced, the spatial distribution of created model villages tends to be clustered. (2) The evolution of spatial distribution pattern of model villages is characterized by “the number of major agglomerations remains unchanged, the scope keeps expanding and the degree of agglomeration keeps deepening”. The final distribution shows “two horizontals and three verticals” pattern. The “two horizontals” are the agglomeration belt along the Yangtze River and the agglomeration belt along the north bank of Huaihe River. The “three verticals” are the clustering belt along Fuliu Railway-the eastern foot of Dabie Mountain in central Anhui, the clustering belt along Jiuhua Mountain-Huangshan Mountain in southern Anhui, and the clustering belt around Nanjing in southern Anhui. (3) Road density, GDP per capita, and river density are the dominant factors of spatial differentiation of demonstration villages. The interactions of road density, GDP per capita with the distance to the 5A scenic spot respectively have the greatest effects on the spatial differentiation of demonstration villages. Overall, location access and government intervention are the main influencing factors of the spatial differentiation of model villages.
  • ZHOU Xiaoping, JI Lin, GU Xiaokun, SHEN Duanshuai, LIU Boyan
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    The rural areas around large cities serve as typical regions for rural revitalization and urban-rural integration. Analyzing the rural transformation process and the driving mechanisms of this special area will contribute to a deeper understanding of the laws governing rural development. This study, based on actor-network theory, uses Xiantan Village in Zhejiang Province as a case study example and employs a systematic approach to analyze the process and driving mechanisms of the transformation and development of rural areas in the vicinity of large cities. The study shows that: (1)Xiantan Village has transformed from a production-oriented rural area to a consumption-oriented one and then to a multifunctional rural area. The rural transformation actor network of Xiantan Village, including both human actors such as Deqing County government, Moganshan Town government, village committees, homestay owners, and villagers, and non-human actors such as houses and landscapes, has also experienced two stages, namely, construction and transformation. (2)The core actors have shifted from homestay owners, consisting of foreign value discoverers, rural elites, and local farmhouse restaurant owners, to their collaboration with local governments. The OPP (obligatory passage points) has changed from “developing homestay economy and building a consumption-oriented rural area for urban residents” to “building a multifunctional rural area integrating production, ecology, and life functions”. (3)Based on the actor network, rural transformation is jointly driven by rural situation changes, subject interactive structures and policy tool combinations. In the future, rural areas around big cities need to combine their own endowments and historical foundations, attach importance to the absorption of diverse subjects, and coordinate the promotion of rural transformation and development.
  • SONG Xiaoyu, ZHAO Lin, ZHANG Chunting, SUN Xianghong, LIU Qingchun
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    On the basis of clarifying the effect mechanism of digital economy on ecological well-being performance, this paper used the entropy method and Super-EBM model to quantitatively measure the level of digital economy and ecological well-being performance of provincial units in China from 2011 to 2023, characterized the evolution characteristics of spatial pattern, and finally used benchmark regression and spatial Dubin model to empirically analyze the spatial spillover effect of digital economy on China’s ecological well-being performance. The results show that: (1) The spatial distribution of China’s digital economy development level is uneven, forming a three-pole pattern of Beijing-Tianjin, Jiangsu, Zhejiang and Shanghai and the Pearl River Delta. The ecological well-being performance is characterized by extreme differentiation between provinces, and there is a significant positive spatial autocorrelation. (2) The development of digital economy can significantly promote the improvement of the ecological well-being performance of provincial units in China, and the digital economy has become an important driving force for improving the efficiency of ecological resource transformation and improving people’s well-being. (3) The impact of digital economy on ecological well-being performance has a significant spatial spillover effect, and the development of digital economy in this province has a promoting effect on the improvement of ecological well-being performance in neighboring provinces. The impact effect of digital economy has the characteristics of spatial heterogeneity, and the spatial spillover impact of digital economy on ecological well-being performance in eastern regions is stronger. It should be based on regional development differences to fully stimulate the enabling effect of digital economy in the construction of ecological civilization and the improvement of people’s well-being.
  • GUO Wenqiang, YU Zhongping, LEI Ming, SHI Ruixue, WEI Xingyu
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    In order to achieve the balance between economic development and carbon emission reduction, the Tapio decoupling index, spatial autocorrelation and spatial Markov chain models were used to explore the spatial and temporal dynamic evolution characteristics of inter-provincial carbon emission decoupling in China from 2001 to 2022, and based on the convergence model conducts club division analysis so as to reveal the evolution of inter-provincial decoupling relationships in China, aiming to seek the path of low-carbon development. The results show that: (1) The type of decoupling in China’s provinces gradually develops from diverse coexistence to dominated by weak decoupling from 2001 to 2022, showing an overall improvement in development. (2) The global spatial positive autocorrelation of carbon decoupling is notable, with local areas showing a tendency towards LL aggregation. Additionally, the east-west spatial differentiation is becoming increasingly pronounced, with polarization effects occurring. (3) There are few leap-forward decoupling transfers, and the transfer probabilities vary depending on the decoupling status of the neighborhood. Provinces that achieve ideal decoupling can generate positive spatial spillover effects and promote low-carbon lock-in, whereas provinces with undesirable decoupling experience negative spillover effects. (4) The overall level of decoupling in China has not yet reached the same steady state. A total of 6 convergence clubs were obtained through local testing, showing a significant convergence effect internally.
  • DONG Ye, LI Zhiwen, ZHOU Shuhang, BAO Anming
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    Based on the statistical data of population from 1990 to 2020, using spatial autocorrelation analysis and linear trend analysis, the temporal and spatial evolution characteristics of total fertility rate in five northwestern provinces is studied. The results show that: (1)From 1990 to 2020, the total fertility rate of the five northwestern provinces showed a declining trend, but it was higher than the national average. The urban-rural difference in total fertility rate has narrowed, and all of them were at a low fertility level.(2) The total fertility rate (TFR) in the five northwestern provinces of China demonstrates a distinct polarization phenomenon. High-value clusters have gradually shifted from the western part of the study area towards the eastern and southern regions, while low-value clusters have migrated from the southeastern areas to the western zones. This dynamic ultimately formed a spatial distribution pattern characterized as “low in the west and high in the east”.