IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i22p8705-d449765.html
   My bibliography  Save this article

The Spatial Correlations of Health Resource Agglomeration Capacities and Their Influencing Factors: Evidence from China

Author

Listed:
  • Qingbin Guo

    (School of Economics, Hainan University, Haikou 570228, China)

  • Kang Luo

    (School of Economics & Management, Nanchang University, Nanchang 330031, China)

  • Ruodi Hu

    (School of Economics, Hainan University, Haikou 570228, China)

Abstract

We measured the health resource agglomeration capacities of 31 Chinese provinces (or municipalities) in 2004–2018 based on the entropy weight method. Using a modified spatial gravity model, we constructed and analyzed the spatial correlation network of these health resource agglomeration capacities and their influencing factors through social network analysis. We found that: (i) China’s health resource agglomeration capacity had a gradual strengthening trend, with capacity weakening from east to west (strongest in the eastern region, second strongest in the central region, and weakest in the western region). (ii) The spatial network of such capacities became more densely connected, and the network density and level (efficiency) showed an upward (downward) trend. (iii) In terms of centrality, the high-ranking provinces (or municipalities) were Beijing, Shanghai, Jiangsu, Zhejiang, Guangdong, Shandong, Hunan, Hubei, Fujian, Anhui, Jiangxi, and Tianjin, while the low-ranking were Tibet, Qinghai, Gansu, Ningxia, Inner Mongolia, Heilongjiang, Yunnan, Guizhou, Xinjiang, Hainan, Shaanxi, and Shanxi. (iv) Block 1 (eight provinces or municipalities), including Beijing, Tianjin, and Hebei, had a “net spillover” effect in the spatial network of health resource agglomeration capacities; Block 2, (seven provinces or municipalities), including Shanghai, Jiangsu, and Zhejiang, had a “bidirectional spillover” effect in the spatial network; Block 3 (seven provinces or municipalities), including Anhui, Hubei, and Hunan, had a “mediator” effect in the network; and Block 4, (nine provinces or municipalities), including Sichuan, Guizhou, and Tibet, had a “net beneficial” effect in the network. (v) The economic development, urbanization wage, and financial health expenditure levels, and population size had significant positive correlations with the spatial network of health resource agglomeration capacities. Policy recommendations to enhance the radiating role of health resources in core provinces (or municipalities), rationally allocate health resources, and transform ideas to support public health resource services were provided.

Suggested Citation

  • Qingbin Guo & Kang Luo & Ruodi Hu, 2020. "The Spatial Correlations of Health Resource Agglomeration Capacities and Their Influencing Factors: Evidence from China," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8705-:d:449765
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/22/8705/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/22/8705/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qingbin Guo & Kang Luo, 2019. "Concentration of Healthcare Resources in China: The Spatial–Temporal Evolution and Its Spatial Drivers," IJERPH, MDPI, vol. 16(23), pages 1-14, November.
    2. Wenhua Wang & Ekaterina (Katya) Loban & Emilie Dionne, 2019. "Public Hospitals in China: Is There a Variation in Patient Experience with Inpatient Care," IJERPH, MDPI, vol. 16(2), pages 1-12, January.
    3. Weon-Young Lee & Ian Shaw, 2014. "The Impact of Out-of-Pocket Payments on Health Care Inequity: The Case of National Health Insurance in South Korea," IJERPH, MDPI, vol. 11(7), pages 1-15, July.
    4. Teresa Romanillos & Roser Maneja & Diego Varga & Llorenç Badiella & Martí Boada, 2018. "Protected Natural Areas: In Sickness and in Health," IJERPH, MDPI, vol. 15(10), pages 1-19, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mingyue Wen & Liao Liao & Yilin Wang & Xunzhi Zhou, 2022. "Effects of Healthcare Policies and Reforms at the Primary Level in China: From the Evidence of Shenzhen Primary Care Reforms from 2018 to 2019," IJERPH, MDPI, vol. 19(4), pages 1-19, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William L. Rice & Sarah Y. Michels & Miranda Foster & Jon Graham & Peter Whitney & Jennifer M. Thomsen, 2023. "Exploring the Impacts of Protected Areas’ Attributes on Pediatric Health: The Case for Additional Research beyond Greenspace," Land, MDPI, vol. 12(8), pages 1-19, August.
    2. Jiae Shin & Dongwoo Ham & Hee Young Paik & Sangah Shin & Hyojee Joung, 2021. "Gender Differences in the Risk of Ischemic Heart Disease According to Healthcare Utilization and Medication Adherence among Newly Treated Korean Hypertensive Patients," IJERPH, MDPI, vol. 18(3), pages 1-13, January.
    3. Shelley White-Means & Darrell J. Gaskin & Ahmad Reshad Osmani, 2019. "Intervention and Public Policy Pathways to Achieve Health Care Equity," IJERPH, MDPI, vol. 16(14), pages 1-11, July.
    4. Carme Miralles-Guasch & Javier Dopico & Xavier Delclòs-Alió & Pablo Knobel & Oriol Marquet & Roser Maneja-Zaragoza & Jasper Schipperijn & Guillem Vich, 2019. "Natural Landscape, Infrastructure, and Health: The Physical Activity Implications of Urban Green Space Composition among the Elderly," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    5. Seung-Lai Yoo & Dae-Jung Kim & Seung-Mi Lee & Won-Gu Kang & Sang-Yoon Kim & Jong Hyuk Lee & Dong-Churl Suh, 2019. "Improving Patient Access to New Drugs in South Korea: Evaluation of the National Drug Formulary System," IJERPH, MDPI, vol. 16(2), pages 1-15, January.
    6. Mingyue Wen & Liao Liao & Yilin Wang & Xunzhi Zhou, 2022. "Effects of Healthcare Policies and Reforms at the Primary Level in China: From the Evidence of Shenzhen Primary Care Reforms from 2018 to 2019," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
    7. Chao Song & Yaode Wang & Xiu Yang & Yili Yang & Zhangying Tang & Xiuli Wang & Jay Pan, 2020. "Spatial and Temporal Impacts of Socioeconomic and Environmental Factors on Healthcare Resources: A County-Level Bayesian Local Spatiotemporal Regression Modeling Study of Hospital Beds in Southwest Ch," IJERPH, MDPI, vol. 17(16), pages 1-23, August.
    8. Saba Shaukat & Asmat ullah & Fasiha Nargis & Aqsa Iqbal & Umer Gulzar, 2022. "Socioeconomic and Demographic Determinants of Out-of-Pocket Healthcare Expenditures in Pakistan: A Provincial Comparative Analysis," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 189-195, September.
    9. Qingbin Guo & Kang Luo, 2019. "Concentration of Healthcare Resources in China: The Spatial–Temporal Evolution and Its Spatial Drivers," IJERPH, MDPI, vol. 16(23), pages 1-14, November.
    10. Jianqiang Xu & Juan Zheng & Lingzhong Xu & Hongtao Wu, 2021. "Equity of Health Services Utilisation and Expenditure among Urban and Rural Residents under Universal Health Coverage," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    11. Jian Chen & Hong Shi & Xin Wang & Yiduo Zhang & Zihan Zhang, 2022. "Effectiveness of China’s Protected Areas in Mitigating Human Activity Pressure," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    12. Watanabe,Yuichi, 2023. "Longitudinal analysis of income-related inequalities in health care under universal coverage in Korea," IDE Discussion Papers 909, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8705-:d:449765. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.