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The efficiency of provincial government health care expenditure after China’s new health care reform

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  • Xuesong Guo
  • Jun Zhang
  • Zhiwei Xu
  • Xin Cong
  • Zhenli Zhu

Abstract

Objective: We aim to estimate the total factor productivity and analyze factors related to the Chinese government’s health care expenditure in each of its provinces after its implementation of new health care reform in the period after 2009. Materials and methods: We use the Malmquist DEA model to measure efficiency and apply the Tobit regression to explore factors that influence the efficiency of government health care expenditure. Data are taken from the China statistics yearbook (2004–2020). Results: We find that the average TFP of China’s 31 provincial health care expenditure was lower than 1 in the period 2009–2019. We note that the average TFP was much higher after new health care reform was implemented, and note this in the eastern, central and western regions. But per capita GDP, population density and new health care reform implementation are found to have a statistically significant impact on the technical efficiency of the provincial government’s health care expenditure (P

Suggested Citation

  • Xuesong Guo & Jun Zhang & Zhiwei Xu & Xin Cong & Zhenli Zhu, 2021. "The efficiency of provincial government health care expenditure after China’s new health care reform," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-16, October.
    • Handle: RePEc:plo:pone00:0258274
    DOI: 10.1371/journal.pone.0258274
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    References listed on IDEAS

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    1. Sepideh Abolghasem & Mehdi Toloo & Santiago Amézquita, 2019. "Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems," Health Care Management Science, Springer, vol. 22(3), pages 512-533, September.
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    Cited by:

    1. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Yusi Cheng & Xuejie Bai & Yung‐Ho Chiu, 2023. "Performance evaluation for health‐care sectors using a dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2237-2253, June.
    3. Wei Jiang & Yadong Wang, 2023. "Asymmetric Effects of Human Health Capital on Economic Growth in China: An Empirical Investigation Based on the NARDL Model," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    4. 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.
    5. Zhou, Jie & Jamaani, Fouad, 2023. "Electricity production, government effectiveness eco-innovation, and public health: Novel findings in the context of sustainability policies," Utilities Policy, Elsevier, vol. 81(C).

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