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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

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  • Shirui Liu

    (College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Yaochen Qin

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Low Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Yanan Xu

    (College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

Abstract

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.

Suggested Citation

  • Shirui Liu & Yaochen Qin & Yanan Xu, 2019. "Inequality and Influencing Factors of Spatial Accessibility of Medical Facilities in Rural Areas of China: A Case Study of Henan Province," IJERPH, MDPI, vol. 16(10), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1833-:d:233741
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    References listed on IDEAS

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    1. Hui-Ching Wu & Ming-Hseng Tseng, 2018. "Evaluating Disparities in Elderly Community Care Resources: Using a Geographic Accessibility and Inequality Index," IJERPH, MDPI, vol. 15(7), pages 1-18, June.
    2. Jing Luo & Guangping Chen & Chang Li & Bingyan Xia & Xuan Sun & Siyun Chen, 2018. "Use of an E2SFCA Method to Measure and Analyse Spatial Accessibility to Medical Services for Elderly People in Wuhan, China," IJERPH, MDPI, vol. 15(7), pages 1-17, July.
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    Cited by:

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    2. Ying Liu & Han Gu & Yuyu Shi, 2022. "Spatial Accessibility Analysis of Medical Facilities Based on Public Transportation Networks," IJERPH, MDPI, vol. 19(23), pages 1-15, December.
    3. Jabrullah Ab Hamid & Muhamad Hanafiah Juni & Rosliza Abdul Manaf & Sharifah Norkhadijah Syed Ismail & Poh Ying Lim, 2023. "Spatial Accessibility of Primary Care in the Dual Public–Private Health System in Rural Areas, Malaysia," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    4. Huanhuan Zhu & Lin Pan & Yiji Li & Huiming Jin & Qian Wang & Xin Liu & Cong Wang & Peng Liao & Xinyang Jiang & Luo Li, 2021. "Spatial Accessibility Assessment of Prehospital EMS with a Focus on the Elderly Population: A Case Study in Ningbo, China," IJERPH, MDPI, vol. 18(19), pages 1-17, September.

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