IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i4p2354-d752636.html
   My bibliography  Save this article

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China

Author

Listed:
  • Jiansheng Wu

    (Peking University (Shenzhen) Laboratory for Urban Future, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
    Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Jiayi Fu

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Hongliang Wang

    (School of Public Administration, Inner Mongolia University, Hohhot 010070, China)

  • Yuhao Zhao

    (Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Tengyun Yi

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

Abstract

Previous Studies, such as the evaluation of the supply of and demand for regional medical resources and carrying capacity assessments, require further development. This paper aims to evaluate the carrying capacity and spatial distribution of medical resources in Shenzhen from the perspective of supply and demand, and to conduct a time-series variation of the coupling coordination degree from 1986 to 2019. The two-step floating catchment area method was employed to quantify the carrying capacity and coupling coordination degree method and spatial autocorrelation analysis were applied to analyze spatial distribution between supply and demand. The results were as follows. (1) The carrying capacity index in more than 50% of the districts was classified as low-grade. The percentage of regions with good grades was 8.27%. The regions with a high carrying capacity were distributed in the central and southeastern areas. (2) The coupling coordination continued to rise, increasing from 0.03397 in 1986 to 0.33627 in 2019. (3) The level of supply and demand for medical resources in Shenzhen increased from 1986 to 2019, and the highest degree of compatibility between the supply and the population size was largely concentrated in the western and eastern regions. This research can provide a theoretical reference for Shenzhen to rationally plan medical resources and improve the carrying capacity of medical resources.

Suggested Citation

  • Jiansheng Wu & Jiayi Fu & Hongliang Wang & Yuhao Zhao & Tengyun Yi, 2022. "Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China," IJERPH, MDPI, vol. 19(4), pages 1-22, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2354-:d:752636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/4/2354/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/4/2354/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Wei Hu & Lin Li & Mo Su, 2019. "Spatial Inequity of Multi-Level Healthcare Services in a Rapid Expanding Immigrant City of China: A Case Study of Shenzhen," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    3. Baró, Francesc & Gómez-Baggethun, Erik & Haase, Dagmar, 2017. "Ecosystem service bundles along the urban-rural gradient: Insights for landscape planning and management," Ecosystem Services, Elsevier, vol. 24(C), pages 147-159.
    4. Kanuganti, Shalini & Sarkar, Ashoke Kumar & Singh, Ajit Pratap, 2016. "Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method," Journal of Transport Geography, Elsevier, vol. 56(C), pages 45-52.
    5. Qiang Yao & Chaojie Liu & Ju Sun, 2020. "Inequality in Health Services for Internal Migrants in China: A National Cross-Sectional Study on the Role of Fund Location of Social Health Insurance," IJERPH, MDPI, vol. 17(17), pages 1-22, August.
    6. Lei Zhu & Shuang Zhong & Wei Tu & Jing Zheng & Shenjing He & Junzhe Bao & Cunrui Huang, 2019. "Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China," IJERPH, MDPI, vol. 16(2), pages 1-15, January.
    7. Zhou, Mei & Zhao, Shaoyang & Fu, Mingwei, 2021. "Supply-induced demand for medical services under price regulation: Evidence from hospital expansion in China," China Economic Review, Elsevier, vol. 68(C).
    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. Jinling Sui & Tao Lin & Guoqin Zhang & Hong Ye & Meixia Lin & Hongkai Geng & Yukui Zhang, 2023. "Equity and Driving Factors of Medical Service Supply–Demand Balance for the Elderly in Rapidly Urbanized Communities Based on Big Data Analysis—A Case Study of Xiamen City," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Yijie Zhang & Mingli Zhang & Haiju Hu & Xiaolong He, 2022. "Spatio-Temporal Characteristics of the Supply and Demand Coupling Coordination of Elderly Care Service Resources in China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    3. Xiu-Fu Tian & Run-Ze Wu, 2022. "Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    4. Jumadi Jumadi & Vidya N. Fikriyah & Hamim Z. Hadibasyir & Muhammad I. T. Sunariya & Kuswaji D. Priyono & Noor A. Setiyadi & Steve J. Carver & Paul D. Norman & Nick S. Malleson & Arif Rohman & Aynaz Lo, 2022. "Spatiotemporal Accessibility of COVID-19 Healthcare Facilities in Jakarta, Indonesia," Sustainability, MDPI, vol. 14(21), pages 1-14, November.

    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. Shiju Liao & Jiayu Li & Liyin Shen & Yuzhe Wu & Haijun Bao, 2024. "Contributions to a Theoretical Framework for Evaluating the Supply–Demand Matching of Medical Care Facilities in Mega-Cities: Incorporating Location, Scale, and Quality Factors," Land, MDPI, vol. 13(10), pages 1-27, October.
    2. Wei Hu & Lin Li & Mo Su, 2019. "Spatial Inequity of Multi-Level Healthcare Services in a Rapid Expanding Immigrant City of China: A Case Study of Shenzhen," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    3. Balzan, Mario V & Caruana, Julio & Zammit, Annrica, 2018. "Assessing the capacity and flow of ecosystem services in multifunctional landscapes: Evidence of a rural-urban gradient in a Mediterranean small island state," Land Use Policy, Elsevier, vol. 75(C), pages 711-725.
    4. Chiara Cortinovis & Grazia Zulian & Davide Geneletti, 2018. "Assessing Nature-Based Recreation to Support Urban Green Infrastructure Planning in Trento (Italy)," Land, MDPI, vol. 7(4), pages 1-20, September.
    5. Xiaolu Yan & Xinyuan Li & Chenghao Liu & Jiawei Li & Jingqiu Zhong, 2022. "Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    6. Montoya, Daniel & Gaba, Sabrina & de Mazancourt, Claire & Bretagnolle, Vincent & Loreau, Michel, 2020. "Reconciling biodiversity conservation, food production and farmers’ demand in agricultural landscapes," Ecological Modelling, Elsevier, vol. 416(C).
    7. Li, Chuanyao & Wang, Junren, 2022. "A hierarchical two-step floating catchment area analysis for high-tier hospital accessibility in an urban agglomeration region," Journal of Transport Geography, Elsevier, vol. 102(C).
    8. Zhicheng Zheng & Haoming Xia & Shrinidhi Ambinakudige & Yaochen Qin & Yang Li & Zhixiang Xie & Lijun Zhang & Haibin Gu, 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    9. Berglihn, Elisabeth Cornelia & Gómez-Baggethun, Erik, 2021. "Ecosystem services from urban forests: The case of Oslomarka, Norway," Ecosystem Services, Elsevier, vol. 51(C).
    10. Tao, Zhuolin & Cheng, Yang & Du, Shishuai & Feng, Ling & Wang, Shaoshuai, 2020. "Accessibility to delivery care in Hubei Province, China," Social Science & Medicine, Elsevier, vol. 260(C).
    11. Jiayi Zhou & Kangning Xiong & Qi Wang & Jiuhan Tang & Li Lin, 2022. "A Review of Ecological Assets and Ecological Products Supply: Implications for the Karst Rocky Desertification Control," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    12. Wang, Tianyu & Wen, Ke & Gao, Qiuming & Sun, Ruochen, 2023. "Small money, big change: The distributional impact of differentiated doctor's visit fee on healthcare utilization," Social Science & Medicine, Elsevier, vol. 339(C).
    13. Rolf, Werner & Diehl, Katharina & Zasada, Ingo & Wiggering, Hubert, 2020. "Integrating farmland in urban green infrastructure planning. An evidence synthesis for informed policymaking," Land Use Policy, Elsevier, vol. 99(C).
    14. Lorilla, Roxanne Suzette & Poirazidis, Konstantinos & Detsis, Vassilis & Kalogirou, Stamatis & Chalkias, Christos, 2020. "Socio-ecological determinants of multiple ecosystem services on the Mediterranean landscapes of the Ionian Islands (Greece)," Ecological Modelling, Elsevier, vol. 422(C).
    15. Alessio Russo & Wing Tung Chan & Giuseppe T. Cirella, 2021. "Estimating Air Pollution Removal and Monetary Value for Urban Green Infrastructure Strategies Using Web-Based Applications," Land, MDPI, vol. 10(8), pages 1-17, July.
    16. Chenyuan Qin & Min Liu & Xin Guo & Jue Liu, 2022. "Human Resources in Primary Health-Care Institutions before and after the New Health-Care Reform in China from 2003 to 2019: An Interrupted Time Series Analysis," IJERPH, MDPI, vol. 19(10), pages 1-10, May.
    17. Murali, Ranjini & Suryawanshi, Kulbushansingh & Redpath, Stephen & Nagendra, Harini & Mishra, Charudutt, 2019. "Changing use of ecosystem services along a rural-urban continuum in the Indian Trans-Himalayas," Ecosystem Services, Elsevier, vol. 40(C).
    18. Mario V. Balzan & Renata Sadula & Laura Scalvenzi, 2020. "Assessing Ecosystem Services Supplied by Agroecosystems in Mediterranean Europe: A Literature Review," Land, MDPI, vol. 9(8), pages 1-21, July.
    19. Kan Wang & Jianjun Bai & Xing Dang, 2020. "Spatial Difference and Equity Analysis for Accessibility to Three-Level Medical Services Based on Actual Medical Behavior in Shaanxi, China," IJERPH, MDPI, vol. 18(1), pages 1-20, December.
    20. Yang Bai & Thomas O. Ochuodho & Jian Yang & Domena A. Agyeman, 2021. "Bundles and Hotspots of Multiple Ecosystem Services for Optimized Land Management in Kentucky, United States," Land, MDPI, vol. 10(1), pages 1-14, January.

    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:19:y:2022:i:4:p:2354-:d:752636. 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.