Evolution characteristics of the spatial network structure of tourism efficiency in China: A province-level analysis

2020 ◽  
Vol 18 ◽  
pp. 100509
Author(s):  
Zhaofeng Wang ◽  
Qingfang Liu ◽  
Jianhui Xu ◽  
Yousuke Fujiki
Author(s):  
Yiyang Sun ◽  
Guolin Hou

Based on the panel data of 41 cities in the Yangtze River Delta from 2008 to 2017, this paper constructs an evaluation indicators system for urban tourism eco-efficiency. By measuring the tourism eco-efficiency in the Yangtze River Delta urban agglomeration, we analyze its spatial-temporal evolution characteristics. Furthermore, the modified gravity model and social network analysis are introduced to explore the spatial network structure of tourism eco-efficiency and its evolution trend.The results show that:(1) The overall eco-efficiency of tourism in the Yangtze River Delta region presents a fluctuating downward trend, among which Jiangsu and Zhejiang have high eco-efficiency, Shanghai and Anhui are relatively low. The gap within the region first increased and then decreased. (2) During this decade, the spatial network structure of tourism eco-efficiency in the Yangtze River Delta has become increasingly loose. The weakening of the network connection strength has led to a decrease in the regional tourism eco-efficiency to a great extent. (3) The network centrality of cities such as Zhoushan, Huzhou, and Huangshan has always maintained a high level, and these cities have firmly occupied the core position of network. (4) The spatial association network of tourism eco-efficiency can be divided into four blocks: “two-way spillover”, “net spillover”, “net benefit” and “agent”. The synergy and spillover effect between various blocks are significant, and there is a spatial polarization trend centered on a few cities. Based on this, this paper puts forward optimization suggestions for the spatial network structure of the Yangtze River Delta urban agglomeration, in anticipation of promoting the improvement of regional tourism eco-efficiency.


Author(s):  
Liping Fu ◽  
Kaibo Xu ◽  
Feng Liu ◽  
Lu Liang ◽  
Zhengmin Wang

Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country; unbalanced distribution of medical resources makes patients try to seek better health services. Against this backdrop, this study aims to analyze the spatial network characteristics and spatial effects of China’s health economy, and then find evidence that affects patient mobility. Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books. The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method was used for centrality analysis and spillover effect analysis. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the center of the health economic network (centrality degree = 93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. The spillover effect of the blocks indicates provinces with medical resource centers have beneficial effects, while provinces with insufficient resources have obvious spillover effects. Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centers. There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.


2017 ◽  
Vol 168 ◽  
pp. 1039-1047 ◽  
Author(s):  
Jing Chen ◽  
Fuquan Zhao ◽  
Zongwei Liu ◽  
Xunmin Ou ◽  
Han Hao

2021 ◽  
Author(s):  
Batoul Almoussawi ◽  
Angel M. Arevalo-Lopez ◽  
Pardis Simon ◽  
Houria Kabbour

We report in here the original Ba10Fe7.75Zn5.25S18Si3O12 oxysulfide which crystallizes in a new structural type. Contrary to the usual oxychalcogenides, it crystallizes with a non-centrosymmetric 3D spatial network structure built...


2020 ◽  
Author(s):  
Liping Fu ◽  
Xu Kaibo ◽  
Liu Feng ◽  
Liang Lu ◽  
Wang Zhengmin

Abstract Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country, and unbalanced distribution of medical resources makes patients try to seek better health services. Against this backdrop, this study aims to analyse the spatial network characteristics and spatial effects of China's health economy ,and then find evidence that affects patient mobility. Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books. The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method is used for centrality analysis and spillover effect analysis. Based on the gravitational value, we used indicators for visits, health expenditure, GDP and geographical distance, as well as an illustrative index for the population, bed utilization, and burden of consultations per day. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the centre of the health economic network (centrality degree=93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. In the traditional meaning analysis, the gap between eastern and western China is still obvious. In comparing the northern and southern regions, this study finds that the concentration of medical resources in northern provinces seems to be higher. The spillover effect of the blocks indicates provinces with medical resource centres have beneficial effects, while provinces with insufficient resources have obvious spillover effects. Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centres. There are health risks of the increasing


Sign in / Sign up

Export Citation Format

Share Document