Measuring and benchmarking technical efficiency of public hospitals in Tianjin, China: A bootstrap-data envelopment analysis approach

Inquiry (United States)

Volumn 52, Issue , 2015, Pages

  Li, Hao ^a   Dong, Siping ^b  

^a WUHAN UNIVERSITY   (China)

^b National Institute of Hospital Administration   (China)

Author keywords

Benchmarking; Bootstrap DEA; Health services provision; Methodology; Technical efficiency

Indexed keywords

BOOTSTRAPPING; CHINA; CONSENSUS DEVELOPMENT; DECISION MAKING; HOSPITAL; HUMAN; PRODUCTIVITY; QUALITY CONTROL; MEDICAL TECHNOLOGY; ORGANIZATION AND MANAGEMENT; PUBLIC HOSPITAL; STANDARDS; STATISTICS AND NUMERICAL DATA;

BENCHMARKING; BIOMEDICAL TECHNOLOGY; CHINA; EFFICIENCY, ORGANIZATIONAL; HOSPITALS, PUBLIC; HUMANS;

EID: 84982719093     PISSN: 00469580     EISSN: 19457243     Source Type: Journal    
DOI: 10.1177/0046958015605487     Document Type: Article

References (17)

1. Dong SP, Zuo YL, Tao HB, et al. Study on DEA-based Chinese hospital efficiency and applied indicators. Chinese Health Policy Res. 2014;7(12):40-45. (In Chinese)
2. Li H, Dong SP, Liu TF. Relative efficiency and productivity: a preliminary exploration of public hospitals in Beijing, China. BMC Health Serv Res. 2014;14:158. doi:10.1186/1472-6963-14-158.
3. Ng YC. The productive efficiency of Chinese hospitals. China Econ Rev. 2011;22(3):428-439.
4. Yang J, Zeng W. The trade-offs between efficiency and quality in the hospital production: some evidence from Shenzhen, China. China Econ Rev. 2014;31(4):166-184.
5. Daraio C, Simar L. Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications. New York: Springer; 2007.
6. Simar L, Wilson PW. Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Manage Sci. 1998;44(1):49-61.
7. Simar L, Wilson PW. A general methodology for bootstrapping in non-parametric frontier models. J Appl Stat. 2000;27(6):779-802.
8. Nuti S, Daraio C, Speroni C, Vainieri M. Relationships between technical efficiency and the quality and costs of health care in Italy. Int J Qual Health C. 2011;23:324-330.
9. Efron B. Bootstrap: another look at the Jackknife. Ann Stat. 1979;7(1):1-26.
10. Nuti S, Bonini A, Murante AM, Vainieri M. Performance assessment in the maternity pathway in Tuscany region. Health Serv Manage Res. 2009;22(3):115-121.
11. Wilson PW. FEAR 1.0: a software package for frontier efficiency analysis with R. Socio Econ Plan Sci. 2008;42(4):247-254.
12. Farrel MJ. The measurement of productive efficiency. J Roy Stat Soc. 1957;120(3):253-281.
13. Shephard RW. The Theory of Cost and Production Functions. Princeton: Princeton University Press; 1970.
14. O'neill L, Rauner M, Heidenberger K, et al. A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socioecon Plann Sci. 2008;42(3):158-189.
15. Brown P, Vainieri M, Bonini A, Nuti S, Calnan M. What might the English NHS learn about quality from Tuscany? Moving from financial and bureaucratic incentives towards "social" drivers. Soc Pubic Policy Rev. 2012;6(2):130-146.
16. Li H, Barsanti S, Bonini A. Building China's municipal healthcare performance evaluation system: a Tuscan perspective. Int J Qual Health C. 2012;24(04):403-410.
17. Fried HO, Lovell CAK, Schmidt SS, Yaisawarng S. Accounting for environmental effects and statistical noise in data envelopment analysis. J Prod Anal. 2002;17(1-2):157-174.