Archive

15 September 2023, Volume 32 Issue 9 Previous Issue   

---

For Selected:

Download Citations EndNote Ris BibTeX

Toggle Thumbnails

Select

Structure of world city network based on sports events: Case study of Tennis World Tours Yubin OU, Gengzhi HUANG, Desheng XUE 2023, 32(9): 1-16.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021825 Abstract ( )   HTML ( )   PDF (2643KB) ( )   In the context of the construction of a Leading Sport Nation, sports events have become an important means of city marketing and shaping city image because they can trigger a large number of inter-city connections to promote the development of cities and enhance their influence and position. Most of the existing studies focus on large-scale sports events such as the Olympic Games, but do not pay attention to the individual sports touring events which are widely distributed and held more frequently in the host city. This paper takes the Tennis World Tour, which is the most influential tournament, as the research object, combined with the method of social network analysis and chain network model, to analyze the characteristics of city connection based on Tennis World Tour. The results show that: (1) The world city network based on Tennis World Tour has a distinct hierarchy, and most of the high-level city nodes are host cities or cities where the high-level sponsors or broadcasters are located, and the high-level inter-city connections mostly occur between the core city nodes. (2) The inter-city connection caused by Tennis World Tour has event differences and regional differences, showing the core-edge structure of Europe, North America-Asia-Oceania and South America-Africa as a whole. (3) The city network has formed a number of city groups with the headquarters of the three major tennis associations and the host city of the event (especially the Grand Slam tournament) as the main core. This study puts forward an unstable urban network structure which is different from that of the Olympic Games, complements the deficiency of the existing research on the world urban network of sports events, and provides a reference for the planning and decision-making of cities at all levels in China to host international sports events. Figures and Tables | References | Related Articles | Metrics

Select

Spatio-temporal evolution patterns of the geo-relationship between China and the countries along "the Belt & Road" Xinhuan ZHANG, Xiaolei ZHANG, Lu ZHANG, Rongwei WU, Chan ZHOU 2023, 32(9): 17-27.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021915 Abstract ( )   HTML ( )   PDF (1771KB) ( )   Geo-relationships both constrain and foster the geo-economy, underscoring the importance of favorable geo-relationships for advancing geo-economic cooperation. Previous studies have analyzed the geo-relationships involving "the Belt and Road", but a gap remains in exploring the temporal and spatial evolution of these relationships among the countries involved. This paper employs the GDELT (Global Database of Events, Language, and Tone), an event database, to investigate the comprehensive characteristics and evolution of the geographic relationships between China and the countries along "the Belt and Road". The primary findings are as follows: ① The geopolitical relationship has transitioned through three stages: "cooperation priority, disagreements occur - cooperation increases, disagreements decrease-cooperation weakens, disagreements further decrease". ② A multi-category analysis reveals that within the geo-relationship between China and "the Belt and Road" countries, "speech augmentation events are concentrated in specific countries, while geopolitical segmentation events frequently occur in many countries". ③ From a multi-scale perspective, the geopolitical segmentation events on the national level exhibit an initial weakening followed by an increase, whereas the geopolitical augmentation events with neighboring countries display a recent downward trend. Analyzing the temporal and spatial evolution characteristics of the geopolitical relationship furnishes valuable insights for achieving a novel form of cooperation and a mutually beneficial relationship between China and "the Belt and Road" countries. Figures and Tables | References | Related Articles | Metrics

Select

Analysis on the evolution and influencing factors of trade pattern between China and Caribbean countries Xueli NIU, Ying CHEN, Shiqi BA 2023, 32(9): 28-39.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021514 Abstract ( )   HTML ( )   PDF (1069KB) ( )   Using the trade intensity index, the HM index and the Geodetector to analyze the evolution and influencing factors of the trade pattern between China and the Caribbean countries from 2008 to 2019. The research finds:① The total import and export trade between China and the Caribbean countries has grown rapidly, showing a trend of volatility; ② There are significant spatial differences in trade cooperation between China and Caribbean countries, which are mainly concentrated in large countries such as Mexico and Colombia;③ The trade ties between China and Caribbean countries are relatively low, but the trade relations are developing in a closer direction; ④ China mainly imports primary products such as mineral products in the Caribbean countries, and exports technology-intensive and labor-intensive products such as machinery and equipment, textiles and clothing; ⑤ The dependence of Caribbean countries' commodity exports on the Chinese market is significantly higher than the dependence of China's commodity exports on Caribbean countries, showing an asymmetrical Structure; ⑥ Economy development, resources endowment, infrastructure conditions and technological innovation levels have become important factors affecting China and Caribbean countries trade. The explanatory power of dual-factor interactive detection is higher than single-factor detection, including two types of "non-linear enhancement" and "two-factor enhancement", and "Two-factor enhancement" dominates. Figures and Tables | References | Related Articles | Metrics

Select

The spatial pattern and determinants of vulnerability to infectious disease outbreaks in the United States Nuoya ZHUANG, Fanglin HUA, Yiying LIU, Yuling HUANG, Ye LIU 2023, 32(9): 40-54.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021648 Abstract ( )   HTML ( )   PDF (1452KB) ( )   In the context of globalization and urbanization, mobility has expanded the geographical scope of infectious diseases transmission, and the epidemic outbreak has posed big challenges to human health and economic and social steadiness. From a local scale, the natural and social diversity in each region makes it show differentiated characteristics of vulnerability and resilience when facing the epidemic. Therefore, this article focused on the types of infectious diseases which can be transferred by infected person, constructed a vulnerability evaluation index system based on the three dimensions, including exposure, sensitivity and adaptability, used entropy method to identify the spatial differentiated characteristics of vulnerability to infectious disease outbreaks in American counties, utilized various methods containing comprehensively clusters analysis, literature analysis and others to discuss the division of vulnerability types in America counties, and clarified the impact mechanism that affects the vulnerability of infectious disease outbreaks through analyzing the literature. The results are as follows: ①Overall, the vulnerability of infectious disease infection in American counties is mostly at a low or lower level, with relatively significant spatial differentiation characteristics.②Summarize the mechanism of infectious disease outbreaks: The outbreak of infectious disease is driven by natural and anthropogenic disturbance factors, including genetic mutation, biological disasters, land use changes, globalization and the like. Exposure involves social connections at domestic and international scales. Sensitivity involves four aspects, individual risks, urban environment, economic security, and social proliferation. Adaptability involves three aspects, government emergency response, medical systems, and social security. ③Based on the score of the influencing factors of vulnerability of infectious disease outbreaks, American counties are divided into 10 regional types to analyze the driving mechanism of vulnerability. Figures and Tables | References | Related Articles | Metrics

Select

The influencing factors of provincial population distribution in Myanmar Jie LI, Zhaohai WAN, Ruijing QIAO, Yungang LI, Jinming HU 2023, 32(9): 55-66.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021955 Abstract ( )   HTML ( )   PDF (918KB) ( )   As a major participant in the construction of "China-Myanmar Economic Corridor" and the "One Belt and One Road" Initiative, Myanmar has an important strategic position, but the research on its population and socio-economic situation is relatively weak. Based on the summary of Myanmar's population distribution from the provincial scale, this paper used panel data of population, socio-economic and natural environment of Myanmar from 2005 to 2017, and spatial econometric model, explored the influencing factors of population distribution in Myanmar. The results show that: ① There are significant differences in the spatial distribution of population in Myanmar. The population density in Myanmar is "high in the central part and low in the eastern part and low in the western part". Yangon, Mandalay and Naypyidaw are the national population agglomeration areas, and the population in the three provinces and regions accounts for 28.5% of the total population in the country. ② social and public services have a significant positive direct effect on the population distribution, and natural environment on the population distribution has significant positive effect and negative spillover effects space directly, with the urban development and the employment quality has significant positive direct effect on the population distribution and positive spatial spillover effects, political conflict on the population distribution has significant negative spatial spillover effect, and no significant effect on the population distribution statistics of economic development. Figures and Tables | References | Related Articles | Metrics

Select

Research on the fishery cooperation between China and Papua New Guinea Chunlin SHI, Yuanli FU 2023, 32(9): 67-77.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021938 Abstract ( )   HTML ( )   PDF (639KB) ( )   It is necessary carrying out fishery cooperation between China and Papua New Guinea. This is mainly due to the broad market for Papua New Guinea's fish that attracts fishery cooperation, the implementation of the national strategies of both sides requiring in-depth fishery cooperation, the safe sea passages requiring the strengthening of fishery cooperation, and changes in international forces increase fishery cooperation opportunity. Meanwhile, carrying out fishery cooperation between China and Papua New Guinea is highly feasible, which has theoretical basis and legal basis, and has cognitive consensus and practical results. In this regard, China and Papua New Guinea should recognize the relevant challenges, and speed up the pace of cooperation by expanding the sources funding for fishery cooperation, improving the mechanism and law for fishery cooperation, consolidating the support forces for fishery cooperation, providing the governance plans for fisheries governance, and cultivating successful models for fishery cooperation. Figures and Tables | References | Related Articles | Metrics

Select

Spatio-temporal evolution and influencing factors of green innovation pattern in the Yellow River Basin based on green patents Jianhui REN, Linlin LAI, Ze HE, Zhaohui CHONG 2023, 32(9): 78-92.  DOI: 10.3969/j.issn.1004-9479.2023.09.20222520 Abstract ( )   HTML ( )   PDF (1512KB) ( )   Green innovation is both eco-friendly and innovation-driven. It is important to clarify the spatio-temporal pattern and the influencing factors of green innovation for ecological protection and high-quality development in the Yellow River Basin. Based on the panel data of 60 cities at prefecture level and above in the Yellow River Basin from 2005 to 2019, this study analyzed the spatio-temporal evolution characteristics and influencing factors of green innovation in the Yellow River Basin by using kernel density estimation, social network analysis and spatial Durbin model from the perspective of "cluster-network". The results show that: (1) The growth rate of green innovation in the Yellow River Basin slows down, the upper and middle cities of the Yellow River Basin catch up, and the gap between cities narrows gradually, with the characteristics of dynamic agglomeration. (2) The spatial agglomeration pattern of green innovation shows a gradual development trend from east to west. The level of green innovation in Shandong peninsula urban agglomeration and Central Henan urban agglomeration make an overall rise, agglomerating in patches, while development pattern of the other urban agglomerations form a point-like jumping up, which is "core-periphery" characteristics. (3) The density of green innovation cooperation network is low and highly unbalanced, forming a "pyramid" with Shandong Peninsula urban agglomeration, Zhengzhou, Xi' an and Yinchuan as a quadrilateral backbone. (4) Integrating into green innovation cooperation network has a significant and steady promoting effect on the improvement of green innovation level. There is an inverted U-shaped relationship between environmental regulation intensity and green innovation. The improvement of human capital level, economic development level and transportation network development level is conducive to green innovation, while the centrality, environmental regulation, human capital and economic development level show a positive spatial spillover effect. Figures and Tables | References | Related Articles | Metrics

Select

Research on the changes of China's fruit planting distribution and its influence effect: Based on the perspective of price changes of rural labor You HU, Xin CHEN, Chunjie QI 2023, 32(9): 93-108.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021645 Abstract ( )   HTML ( )   PDF (1078KB) ( )   On deriving the impact model of the evolution of the fruit industry distribution in China and the datum of 22 major provinces planting fruit in 1985-2019, it studies the impact of agricultural labor price, non-agricultural labor prices and the proportion of wage in farmers' income on the distribution evolution of fruit industry empirically. The results show that: The increases of agricultural labor price, non-agricultural labor prices and the proportion of wages in farmers' income bring a substitution effect on fruit planting in provinces from eastern areas, which results in a decline or unchanging acreage of fruit planting, that is the acreage proportions in provinces from eastern areas decrease; There are inhibitory effect of agricultural labor price, non-agricultural labor prices and the proportion of wages in farmers' income on fruit planting by which the substitution effect and the income effect offset each other, so that the proportion of fruit planting in middle areas has no significant change; There are comparative advantage produced by lower agricultural labor price and lower non-agricultural labor prices and income effect produced by increasing wages which stimulate the acreages of fruit planting expand and the acreages proportion increase in large scale in provinces from northwest and southwest areas so that a distribution of "westward and inward expansion" of the fruit plant in China is forming.Therefore, it is necessary to solve the problems of excessively high prices of rural labor in areas suitable for fruit plant and low prices of rural labor in unsuitable areas. Figures and Tables | References | Related Articles | Metrics

Select

Analysis on the evolution of city network based on the flow of highly cited Chinese scientists Kang SUN, Yuefang SI 2023, 32(9): 109-119.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021594 Abstract ( )   HTML ( )   PDF (1530KB) ( )   The geographical flow of talents is affecting innovation activities worldwide, so the research on the spatial structure evolution of talent flows is particularly important.This article uses the 2014-2015 global list of highly cited scientists as raw data to retrieve the study and work experience of scientists, uses cities as the research scale, and uses the P-space model to build a highly cited Chinese scientist flow network. At the same time, uses quantile regression analyzes the impact of whether scientists in core cities are more productive. We found that: (1) The city network of highly cited Chinese scientists has the characteristics of a small-world network, and the network space structure presents a "Y-shaped" structure. China-U.S., China-Europe, and China-Australia are the main sides. (2) This article analyzes the source cities and the target cities in which scientists move, and finds that Beijing, Cambridge(UStates), Shanghai are the city with a high degree.(3) The distribution of scientists shows a trend of spreading with the development of the stage.(4) Scientists in core cities have more high-quality paper output. The increase in the degree of centrality of scientists' target cities has a greater impact on the output of scientists.Key words: highly cited Chinese scientists; talent flow; P-space model; quantile regression Figures and Tables | References | Related Articles | Metrics

Select

Spatio-temporal development characteristics and driving effects of private listed enterprises in Yangtze River Delta Jie TAO, Weidong CAO, Juan WU 2023, 32(9): 120-132.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021473 Abstract ( )   HTML ( )   PDF (2094KB) ( )   Based on the data of private listed enterprises in Yangtze River Delta, we measure the development index of private listed enterprises based on the entropy method, analyze their spatial and temporal development characteristics by combining the exploratory spatial data analysis method, and quantitatively estimate the spatial variation of driving factors by using the econometric model. The results show that: ① During 2003-2018,the top 10 industries occupied by private listed enterprises in the Yangtze River Delta had been mainly manufacturings and services, no matter measured by numbers of enterprises or by revenue, the share of these two industries exceeded 50 percent; ② The private listed enterprises in the Yangtze River Delta show a "northwest-southeast" development pattern, characterized by "diffusion followed by agglomeration and Z-shaped shift", with significant spatial heterogeneity and "polycentric semi The spatial heterogeneity of its spreading area is significant and "polycentric and semi-circular"; ③ The spatial differentiation of driving factors is not significant, and its spatial differentiation changes along a unidirectional gradient, the driving effect is maintained in the positive driving environment of technological innovation, market scale, from positive driving to negative driving traffic accessibility, urban policy environment, from negative driving to positive driving. The driving effects are maintained in the positive direction by technological innovation environment and market scale, in the negative direction by traffic accessibility and urban policy environment, and in the negative direction by production cost and openness to the outside world. Figures and Tables | References | Related Articles | Metrics

Select

Research on the growth pattern and driving factors of construction land in CZT metropolitan area Jianjun LIAO, Xin LI, Zhiyuan WANG, Kao ZHANG, Jingtong LV 2023, 32(9): 133-145.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021158 Abstract ( )   HTML ( )   PDF (1689KB) ( )   This paper adopts the expansion intensity index, equal sector method, spatial autocorrelation, PCA-STIRPAT model, and geographic detectors to quantitatively reveal the characteristics and spatial-temporal driving factors of the construction land growth pattern in the CZT metropolitan area from 1990 to 2018. The results show that: (1) The construction land of CZT metropolitan area expanded slowly from 1990 to 2000, expanded rapidly from 2000 to 2010, and expanded slowly from 2010 to 2018. In the three stages, the main expansion directions of the construction land in the CZT metropolitan area are different. The direction of expansion of the Changsha metropolitan area changed from northeast to southwest, the expansion direction of Zhuzhou metropolitan area changed from southwest to west, and the expansion direction of Xiangtan metropolitan area changed from south to north. It can be seen that under the influence of the integrated construction of the CZT urban agglomeration, the expansion direction of the three cities tends to move closer to the central intersection. (2) From 1990 to 2018, the expansion of construction land in the CZT metropolitan area showed an overall trend of agglomeration. Wangcheng District and Changsha County of Changsha City were hot spots for construction land growth, while Lukou District of Zhuzhou City and Xiangtan County of Xiangtan City were extremely cold spots for construction land growth. (3) The dominant time driving factors for the expansion of construction land are local fiscal expenditure, fixed asset investment, highway passenger traffic, total population, number of employees, and number of patent authorizations. In a comprehensive view, socio-economic investment, population growth and technological progress are important driving forces for the expansion of construction land. Population and GDP are the dominant spatial driving factors for the expansion of built space. Figures and Tables | References | Related Articles | Metrics

Select

Change in neighborhood environment and its influencing factors before and after intra-urban residential mobility: A case study in Beijing Jinghong HE, Fenglong WANG 2023, 32(9): 146-158.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021664 Abstract ( )   HTML ( )   PDF (731KB) ( )   Residential mobility is an important issue in human geography. However, existing studies mainly focus on the pattern and determinants of residential mobility, and seldom examine the consequences or outcomes of residential mobility, especially the changes in neighborhood environment before and after residential relocation within cities. This article is based on a two-wave survey in Beijing and adopts the method of statistical tests and exploratory factor analysis to analyze the differences in neighborhood facility accessibility, walkability, location and perceived neighborhood environment before and after the relocation, and uses Binary Logistic Regression model to examine the influencing factors of the changes in neighborhood environment associated with relocation. It is found that the majority of migrants have improved their neighborhood environment after relocation, and the relevant changes are affected by life course events, housing adjustment, motivation for move, and household and individual socioeconomics. Figures and Tables | References | Related Articles | Metrics

Select

Analysis on the spatio-temporal distribution of severity and causing factors of tourism traffic accidents in China Feifei LAI, Chaowu XIE, Rui HUANG 2023, 32(9): 159-169.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021325 Abstract ( )   HTML ( )   PDF (1576KB) ( )   To investigate the factors influencing the severity of tourism traffic accidents, this paper selected 3 861 tourism traffic safety accidents in China, based on the analysis of its spatialtemporal distribution characteristics, further examined the factors influencing the severity of tourism traffic accidents. An ordered multi-classified logistic regression model was employed to explore the contributing factors to the severity of tourist traffic safety accidents. The results show that: (1) From 2010 to 2019, the different severity levels of tourism traffic accidents in China show a fluctuating downward trend. (2) The severity levels of tourism traffic accidents display a heterogeneous distribution, with high-incidence areas mainly concentrated in Yunnan and Hunan provinces. (3) The five categories of factors, including personnel, vehicles, roads, management, and environment, are significantly correlated with the severity of tourism traffic accidents. The varying strength of their connection with different provincial domains is an important reason for the heterogeneous distribution of accident severity. The results help to reveal the characteristics and causes of tourism traffic safety accidents nationwide and provide a theoretical basis for improving tourism traffic safety management. Figures and Tables | References | Related Articles | Metrics

Select

Spatial differentiation and influencing factors of star rural homestay in Wuling Mountain Area Yan WANG, Juan SU, Lei LIU 2023, 32(9): 170-180.  DOI: 10.3969/j.issn.1004-9479.2023.09.2021520 Abstract ( )   HTML ( )   PDF (1519KB) ( )   The spatial patterns of star-rated rural homestays have significant implications for achieving high-quality rural tourism development. By employing methods such as nearest neighbor index, kernel density estimation, and decision tree regression, this research explores the spatial differentiation characteristics and causes of 330 star-rated rural homestays in the Wuling Mountain Area. The findings are as follows: 1) From the perspective of spatial structural features, star-rated rural homestays in the Wuling Mountain Area exhibit an overall "clustered in the east, scattered in the west, more in the north than in the south" spatial pattern. The distribution characteristics of four-star and five-star rural homestays are consistent with the overall pattern, while three-star rural homestays show an "eastern scarcity, western abundance, northern aggregation, and southern dispersion" spatial structure. 2) In terms of spatial typology, star-rated rural homestays in the Wuling Mountain Area display a cohesive spatial type. Specifically, five-star and four-star rural homestays exhibit a strongly cohesive spatial distribution, while three-star rural homestays show a weakly cohesive pattern. 3) Concerning spatial density features, the Wuling Mountain Area demonstrates a spatial density pattern where there are multiple and contiguous cores in the northern part and fewer and dispersed cores in the southern part. This pattern remains consistent for three-star and four-star rural homestays, while the five-star rural homestays exhibit a spatial density characteristic of "three scattered cores in the north and a single weak core in the south." 4) The regression results of the decision tree model indicate that tourist attractions with a grade of 3A or higher (the root node), economic development level (branch node), and rural homestays policies (branch node) are important factors contributing to the spatial differentiation of star-rated rural homestays in the Wuling Mountain Area. The findings of this paper can provide reference for the layout of rural homestays in the Wuling Mountain Area and similar mountainous areas. Figures and Tables | References | Related Articles | Metrics