An exploration of spatial differences and influencing factors of migrant attainment in Chinese cities

Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health.

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Inequality and Influencing Factors of Spatial Accessibility of Medical Facilities in Rural Areas of China: A Case Study of Henan Province

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16101833 ◽

2019 ◽

Vol 16 (10) ◽

pp. 1833 ◽

Cited By ~ 4

Author(s):

Shirui Liu ◽

Yaochen Qin ◽

Yanan Xu

Keyword(s):

Influencing Factors ◽

Rural Areas ◽

Henan Province ◽

Spatial Accessibility ◽

Medical Services ◽

Basic Unit ◽

Mountainous Areas ◽

Geographically Weighted Regression Model ◽

Medical Facilities ◽

Spatial Differences

The equalization of medical services has received increasing attention, and improving the accessibility of medical facilities in rural areas is key for the realization of fairness with regard to medical services. This study studies the rural areas of Henan Province, China, and uses unincorporated villages as the basic unit. The spatial pattern of accessibility in rural areas was comprehensively analyzed via geographic information system spatial analysis and coefficient of variation. The spatial heterogeneity of relevant influencing factors was assessed by using the geographically weighted regression model. The results show that: (1) The distance cost of medical treatment in rural areas is normally distributed, and most areas are within a range of 2–6 km. (2) The accessibility in rural areas has clear spatial differences, is significantly affected by terrain, and shows characteristics of significant spatial agglomeration. The eastern and central regions have good spatial accessibility, while the western regions have poor spatial accessibility. Furthermore, regions with poor accessibility are mainly located in mountainous areas. (3) The spatial equilibrium of accessibility follows a pattern of gradual deterioration from east to west. The better accessibility-unbalanced type is mostly located in the center of Henan Province, while the poor accessibility-unbalanced type is concentrated in mountainous areas. (4) The area, elevation, residential density, and per capita industrial output are positively correlated with spatial accessibility, while road network density and population density are negatively correlated.

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Is Urban Sprawl Decoupled from the Quality of Economic Growth? Evidence from Chinese Cities

Sustainability ◽

10.3390/su12010218 ◽

2019 ◽

Vol 12 (1) ◽

pp. 218 ◽

Cited By ~ 1

Author(s):

Xinhai Lu ◽

Danling Chen ◽

Yue Wang

Keyword(s):

Economic Growth ◽

Urban Sprawl ◽

Urban Policy ◽

Urban Expansion ◽

National Level ◽

Policy Makers ◽

Chinese Cities ◽

Technological Efficiency ◽

Spatial Differences

This paper investigates how urban sprawl and the quality of economic growth interact and further studies the spatial-temporal decoupling characteristics of both. To achieve this, a framework was developed to better explain both the different dimensional effects urban sprawl exerts on the quality of economic growth and their reverse feedback relation. A sample of 285 Chinese cities (2003 to 2016) were analyzed, employing both a decoupling model and spatial correlation analysis. The findings indicated that urban sprawl and the quality of economic growth are related via scale, structure, technological efficiency, and technological progress effects. In practice, with increasing quality of economic growth, the urban sprawl index decreases at the national level. At prefecture-city level, the types of decoupling between urban sprawl and the quality of economic growth showed clear periodical and unbalanced characteristics. Furthermore, decoupling showed a significant agglomeration effect in Chinese cities, which is mainly mediated by the types High-High and Low-Low. This study provides a significant contribution to the relevant acknowledge system by providing a comprehensive theoretical framework toward an understanding of how urban expansion interacts with the quality of economic growth. Furthermore, their decoupling types and spatial differences that are critical for the urban sustainable development have been identified, thus providing several important insights for both academics and urban policy makers.

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