Spatiotemporal Differentiation Characteristics and Influencing Factors of Tourism Urbanization Response Intensity in Hunan Province

2021 ◽  
Vol 10 (03) ◽  
pp. 279-289
Author(s):  
阳阳 伍
Keyword(s):  
Influencing Factors ◽  
Hunan Province ◽  
Response Intensity ◽  
Tourism Urbanization

scholarly journals Spatiotemporal Difference Characteristics and Influencing Factors of Tourism Urbanization in China’s Major Tourist Cities

2021 ◽  
Vol 18 (19) ◽  
pp. 10414
Author(s):  
Xia Xie ◽  
Lei Zhang ◽  
Hui Sun ◽  
Feifei Chen ◽  
Chunshan Zhou
Keyword(s):  
Spatial Autocorrelation ◽  
Influencing Factors ◽  
Industrial Development ◽  
Tourism Industry ◽  
Three Dimensions ◽  
Ecological Environment ◽  
Upward Trend ◽  
Correlation Pattern ◽  
Resource Endowment ◽  
Tourism Urbanization

Tourism is crucial for promoting industrial development and is an important driver of China’s new type of urbanization. A tourism urbanization index system was constructed in three dimensions: the tourism industry, urbanization, and the ecological environment. The spatial–temporal differentiation characteristics and influencing factors of tourism urbanization in 35 major tourist cities in China from 2009 to 2018 were analyzed using the state space method, standard deviation ellipse, and spatial autocorrelation analysis. The results show the following. (1) Over time, the tourism industry index displays an upward trend, the urbanization index exhibits a more obvious upward trend, and the ecological environment index fluctuates strongly. Under the influence of all three factors, the tourism urbanization index shows a fluctuating rising trend. (2) Regarding the spatial distribution pattern, the development center of tourism urbanization shifts to the southeast, and the distribution direction is northeast-southwest. There is a significant agglomeration in global spatial autocorrelation. The local spatial correlation pattern is dominated by correlation characteristics and supplemented by different characteristics. (3) In terms of influencing factors, policy and regional development strategy, tourism resource endowment, economic development level, and traffic conditions are listed in descending order of influencing degree. Finally, we put forward some suggestions.

scholarly journals Anxiety Status and Influencing Factors of Rural Residents in Hunan During the Coronavirus Disease 2019 Epidemic: A Web-Based Cross-Sectional Survey

2020 ◽  
Vol 11 ◽  
Author(s):  
Yi Zhang ◽  
Yi-ping Chen ◽  
Jianjian Wang ◽  
Yanhong Deng ◽  
Dezhen Peng ◽  
...  
Keyword(s):  
Mental Health ◽  
Influencing Factors ◽  
Detection Rate ◽  
Hunan Province ◽  
Cross Sectional Survey ◽  
Online Questionnaire ◽  
Rural Residents ◽  
Cross Sectional ◽  
Intervention Measures ◽  
The Status

Objective: To explore the status quo of anxiety and its influencing factors among rural residents in Hunan Province during the coronavirus disease 2019 epidemic, and to provide an effective basis for prevention of and intervention for anxiety symptoms among rural residents.Methods: Convenience sampling was used. An online questionnaire was distributed to Hunan rural residents through the questionnaire star platform from February 26–29, 2020. The general data and anxiety of Hunan rural residents were investigated, and the data were analyzed using SPSS 18.0.Results: The mean Self-Rating Anxiety Scale score of 179 rural residents in Hunan was 40.93 ± 9.36. Based on the cutoff criteria, 32 residents had anxiety, including 26 with mild anxiety, five with moderate anxiety, and one with severe anxiety. The detection rate of anxiety was 17.88%. Self-rated health status, level of concern about the epidemic, and self-rated impact of the epidemic on one's life were the factors influencing the anxiety score of rural residents in Hunan (P < 0.05).Conclusion: During the coronavirus disease 2019 epidemic, the detection rate of anxiety in rural residents in Hunan was higher than that of the general population in China. The relevant departments should pay attention to the mental health of rural residents and implement targeted mental health prevention and intervention measures during the epidemic situation.

scholarly journals Green Development Efficiency Measurement and Influencing Factors of the Paper Industry in the Yangtze River Economic Belt

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1286
Author(s):  
Yunbo Xiang ◽  
Shengyun Wang ◽  
Yong Zhang ◽  
Zhijun Dai
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Paper Industry ◽  
Hunan Province ◽  
Theil Index ◽  
The Yangtze River ◽  
Gravity Center ◽  
Positive Effects ◽  
Green Development

The paper industry is a traditional industry with extensive consumption of resources and energy and more pollutant discharge. This industry is closely related to production and life activities. Under the general requirement of “to step up conservation of the Yangtze River and stop its over development,” the paper industry in the Yangtze River Economic Belt should urgently undergo green transformation and development. Based on the undesirable slack-based measure model, spatial gravity center, Kernel density function, Theil index, and panel model, this study examines the green development efficiency and its influencing factors of the paper industry in the Yangtze River Economic Belt from 2001 to 2016. Results showed the following: (1) from 2001 to 2016, the green development efficiency of the paper industry in the Yangtze River Economic Belt had been steadily improved, but the overall efficiency value is not high, which has a great potential for improvement. The green development efficiency of the paper industry in the Yangtze River Economic Belt presents the regional differentiation law of gradient increasing in the upper, middle, and lower reaches. (2) According to the gravity center trajectory, the efficiency center of the green development of the paper industry in the Yangtze River Economic Belt is located in the middle reaches of Hunan Province and Hubei Province and moves to the southwest. This case indicates that the green development efficiency of the paper industry in provinces and cities in the southwest has been improved. (3) The regional differences in the green development efficiency of the paper industry in the Yangtze River Economic Belt show the characteristics of narrowing fluctuations. The regional differences are the primary sources of the difference in the green development efficiency of the paper industry. (4) The enterprise scale, science and technology investment, and industrial structure have significant positive effects on the green development efficiency of the paper industry in the Yangtze River Economic Belt. On the contrary, environmental regulation and foreign investment intensity have significant negative effects. However, the above factors have different effects on the green development efficiency of the paper industry in the upper, middle, and lower reaches of the Yangtze River Economic Belt.

Characterization and influencing factors of the pig movement network in Hunan Province, China

2021 ◽  
pp. 105396
Author(s):  
Fang Shi ◽  
Baoxu Huang ◽  
Chaojian Shen ◽  
Yan Liu ◽  
Xiaoxue Liu ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Hunan Province

scholarly journals Current Curative Expenditure of Respiratory Diseases and Its Influencing Factors，A Research Based on“System of Health Account 2011”

2020 ◽  
Author(s):  
Ling Li ◽  
Huan Zhan ◽  
Xin Wang ◽  
Liangrong Zhou
Keyword(s):  
Influencing Factors ◽  
Financial Distress ◽  
Respiratory Diseases ◽  
Insurance Coverage ◽  
Population Level ◽  
Health Insurance Coverage ◽  
Hunan Province ◽  
Factors Affecting ◽  
Multi Stage ◽  
Health Accounts

Abstract Background: Respiratory disease is now the leading cause of morbidity and mortality worldwide. They simultaneously impact public health at the population level and also cause great financial distress for families . Understanding the distribution of diseases and the Current Curative Expenditure (CCE) can provide a basis for policy decisions and interventions. This study analyzed the status of respiratory diseases spending using data from “System of Health Accounts 2011” (SHA 2011) to provide health policy advice to Hunan Province, China, and insights for other more developed areas in China. Methods: Data were collected by multi-stage stratified random sampling approach and the medical expenses of patients with respiratory diseases were calculated based on the SHA 2011, including the dimensions of institutional resource flow and service function. Regression analyses were conducted to identify influencing factors of hospitalization expenses. All analyses were conducted using software SPSS 25.0. Results: The CCE for Respiratory diseases in 2017 was 215.42 billion Chinese yuan (CNY), accounting for 15.94% of total expenditure on health in Hunan Province, China. Children aged 0-4 and elderly aged 60-69 spent the most on the treatment for such diseases. Length of stay, age, and institution level were the three most important factors affecting hospitalization expenses. Conclusions: The CCE of respiratory diseases is extremely high, with problems related to treatment efficiency and equity. It is essential to expand health insurance coverage, establish hierarchical medical system, and reduce curative expenditure.

Sign in / Sign up

Export Citation Format

Share Document