IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i5p1781-d330447.html
   My bibliography  Save this article

The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017

Author

Listed:
  • Kaili Zhong

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Lv Chen

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Sixiang Cheng

    (Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China)

  • Hongjun Chen

    (Department of Primary Health Care, Health Commission of Hunan Province, Changsha 410078, China)

  • Fei Long

    (Department of Primary Health Care, Health Commission of Hunan Province, Changsha 410078, China)

Abstract

This study aimed to estimate the efficiency and its influencing factors of Primary Health Care Institutions (PHCIs) in counties in Hunan Province, China, and put forward feasible suggestions for improving the efficiency of PHCIs in Hunan Province. We applied the Input-Oriented Data Envelopment Analysis (DEA) method and the Malmquist Index Model to estimate the efficiency of PHCIs in 86 counties in Hunan Province from 2009 to 2017. Then, the Tobit model was used to estimate the factors that influence the efficiency of PHCIs. Since the implementation of the new health-care reform in 2009, the number of health resources in PHCIs in Hunan Province has increased significantly, but most counties’ PHCIs remain inefficient. The efficiency of PHCIs is mainly affected by the total population, city level, the proportion of health technicians and the proportion of beds, but the changes in per capita GDP have not yet played a significant role in influencing efficiency. In the future, the efficiency of PHCIs should be improved by increasing medical technology skills and enthusiasm of health technicians and by improving the payment policies of medical insurance funds.

Suggested Citation

  • Kaili Zhong & Lv Chen & Sixiang Cheng & Hongjun Chen & Fei Long, 2020. "The Efficiency of Primary Health Care Institutions in the Counties of Hunan Province, China: Data from 2009 to 2017," IJERPH, MDPI, vol. 17(5), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1781-:d:330447
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/5/1781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/5/1781/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. Qian Liu & Bo Li & Muhammad Mohiuddin, 2018. "Prediction and Decomposition of Efficiency Differences in Chinese Provincial Community Health Services," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    6. Yinzi Jin & Beibei Yuan & Weiming Zhu & Yaoguang Zhang & Ling Xu & Qingyue Meng, 2019. "The interaction effect of health insurance reimbursement and health workforce on health care‐seeking behaviour in China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(3), pages 900-911, July.
    7. Linna, Miika & Nordblad, Anne & Koivu, Matti, 2003. "Technical and cost efficiency of oral health care provision in Finnish health centres," Social Science & Medicine, Elsevier, vol. 56(2), pages 343-353, January.
    8. Xinyu Zhang & Lin Zhao & Zhuang Cui & Yaogang Wang, 2015. "Study on Equity and Efficiency of Health Resources and Services Based on Key Indicators in China," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-15, December.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Huiwen Li & Beibei Yuan & Qingyue Meng & Ichiro Kawachi, 2019. "Contextual Factors Associated with Burnout among Chinese Primary Care Providers: A Multilevel Analysis," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
    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. Ayhan Aydın, 2022. "Benchmarking healthcare systems of OECD countries: A DEA - based Malmquist Productivity Index Approach," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(1), pages 25-40, June.

    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. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Pourmahmoud, Jafar & Bagheri, Narges, 2023. "Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Puertas, Rosa & Guaita-Martinez, José M. & Carracedo, Patricia & Ribeiro-Soriano, Domingo, 2022. "Analysis of European environmental policies: Improving decision making through eco-efficiency," Technology in Society, Elsevier, vol. 70(C).
    4. Kosycarz, Ewa & Dędys, Monika & Ekes, Maria & Wranik, Wiesława Dominika, 2023. "The effects of provider contract types and fiscal decentralization on the efficiency of the Polish hospital sector: A data envelopment analysis across 16 health regions," Health Policy, Elsevier, vol. 129(C).
    5. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    6. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    7. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    8. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    9. Alexander Cotte Poveda, 2012. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(3), pages 343-366, February.
    10. Don U.A. Galagedera & Piyadasa Edirisuriya, 2004. "Performance of Indian commercial banks (1995-2002): an application of data envelopment analysis and Malmquist productivity index," Finance 0408006, University Library of Munich, Germany.
    11. Ali Kabasakal & Aziz Kutlar & Murat Sarikaya, 2015. "Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 69-88, March.
    12. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    13. Chen, Xiang & Grifell-Tatjé, Emili & Fu, Tsu-Tan, 2023. "A profit difference decomposition model for measuring group performance: an application to Chinese and Taiwanese commercial banks," Omega, Elsevier, vol. 120(C).
    14. Muliaman Hadad & Maximilian Hall & Karligash Kenjegalieva & Wimboh Santoso & Richard Simper, 2011. "Banking efficiency and stock market performance: an analysis of listed Indonesian banks," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 1-20, July.
    15. Finn Førsund, 2013. "Weight restrictions in DEA: misplaced emphasis?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 271-283, December.
    16. Miguel SARMIENTOO & Andrés CEPEDA & Hernando MUTIS & Juan F. PÉREZ, 2013. "Nueva Evidencia sobre la Eficiencia de la Banca," Archivos de Economía 10705, Departamento Nacional de Planeación.
    17. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    18. Pastor, Jesus T. & Lovell, C.A. Knox & Aparicio, Juan, 2020. "Defining a new graph inefficiency measure for the proportional directional distance function and introducing a new Malmquist productivity index," European Journal of Operational Research, Elsevier, vol. 281(1), pages 222-230.
    19. Tumaniants, Karen A. (Туманянц, Карэн) & Sesina, Julia E. (Сесина, Юлия), 2017. "Social Expenditures of Russian Regions in Terms of “Input-Output” [Расходы На Социальную Политику Российских Регионов В Координатах «Затраты — Результат»]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 128-149, October.
    20. Annika Maren Schneider & Eva-Maria Oppel & Jonas Schreyögg, 2020. "Investigating the link between medical urgency and hospital efficiency – Insights from the German hospital market," Health Care Management Science, Springer, vol. 23(4), pages 649-660, December.

    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:5:p:1781-:d:330447. 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.