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Technical and scale efficiency of provincial health systems in China: a bootstrapping data envelopment analysis
  1. Peipei Chai1,2,
  2. Yuhui Zhang2,
  3. Maigeng Zhou3,
  4. Shiwei Liu3,
  5. Yohannes Kinfu1,4
  1. 1 Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia
  2. 2 National Health Accounts and Policy Studies, China National Health Development Research Center, Beijing, China
  3. 3 National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
  4. 4 Department of Health Metrics Sciences, University of Washington, Seattle, Washington, USA
  1. Correspondence to Peipei Chai; peipei.chai{at}canberra.edu.au

Abstract

Objective With escalating health expenditures and increasing health needs, improving health system performance has become imperative in China and internationally. The objective of this study is to examine the efficiency of China’s health system and to understand the underlying causes of the variation in efficiency across provinces.

Setting A system-wide perspective is adopted, focusing on performance in maternal health, child health and non-communicable diseases (NCDs) in the 31 provinces of mainland China during 2015.

Methods Analyses were performed using bootstrapping data envelopment technique. Health outcomes were measured by infant survival rates, maternal survival rates and healthy life years calculated only considering NCDs. Health inputs were measured using health expenditure, and density of medical personnel and hospital beds. The model also examined the impact of environmental factors on health system efficiency.

Results Due to wide-spread scale inefficiency in the country, the average bias-corrected overall technical efficiency (OTE) was 0.8022 (95% CI values ranging from 0.7251 to 0.8492). Socioeconomic status, hospitalisation rate and share of out-of-pocket expenditures were significant determinants of OTE. Nearly 60% of the provinces operated at a decreasing return to scale, meaning that a gain in efficiency could be achieved only through downsizing the scale of operation.

Conclusions Given the pervasive nature of diminishing returns across provinces, health policy makers must explore the optimum operational scale which is people-centred and focused on prevention, rather than on treatment, of diseases. Moreover, due consideration should be afforded to social determinants of health and health financing arrangements to complement health-sector based reforms and meet the ambitious goals of the Healthy China 2030 Plan.

  • technical efficiency
  • health economics
  • health policy

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Contributors PC and YK conceived the study; PC contributed to the analysis and interpretation of the data; YZ, MZ and SL contributed to the data acquisition and provided statistical analysis support; and PC and YK drafted the article. All authors supplied critical revisions to the manuscript and gave final approval of the version to be published.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Map disclaimer The depiction of boundaries on the map(s) in this article do not imply the expression of any opinion whatsoever on the part of BMJ (or any member of its group) concerning the legal status of any country, territory, jurisdiction or area or of its authorities. The map(s) are provided without any warranty of any kind, either express or implied.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement No additional data are available.