Technical efficiency of private sector hospitals in India using data envelopment analysis

• Published in: Benchmarking : an international journal 2018-11, Vol.25 (9), p.3570-3591
• Main Authors: Gandhi, Aradhana Vikas, Sharma, Dipasha
• Format: Article
• Language: English
• Subjects: Costs; Data analysis; Data envelopment analysis; Developing countries; Efficiency; Empirical analysis; Expenditures; Health care industry; Health care policy; Hospitals; Infrastructure; LDCs; Mathematical models; Operations research; Physicians; Population; Private sector; Productivity; Public sector; Regression analysis; Rural areas; Telemedicine
• ISSN: 1463-5771; 1758-4094
• DOI: 10.1108/BIJ-06-2017-0135

Purpose The purpose of this paper is to ascertain the performance of Indian hospitals in recent past and derive meaningful insights for policy makers and practicing managers in this area. Design/methodology/approach This paper analyses the technical efficiency of select Indian private hospitals using three related methodologies: data envelopment analysis (DEA), Malmquist Productivity Index (MPI) and Tobit regression. Two output variables (i.e. total income and profit after tax) and four input variables (i.e. cost of labour, net fixed assets, current assets and other operating expenses) were selected for the purpose of the study. Findings DEA analysis has shown that 14 out of 37 hospitals are found to be efficient under the Cooper and Rhodes model of DEA and 20 out of 37 hospitals are efficient under the Banker, Charles and Cooper model of DEA. The empirical results pertaining to MPI indicate an overall productivity progress in the private Indian hospital industry during the study period, which is largely due to technological advancement in the industry. Tobit regression demonstrates that chain affiliated, specialized and multi-city located hospitals exhibit a higher technical efficiency. Research limitations/implications This study has a limitation with reference to the unavailability of data on the input and output parameters of the model. The data related to the number of beds, number of doctors, number of nurses, etc., were not available for the period under consideration. Originality/value This study seems to be one of the few studies applying productivity and performance analysis using DEA, MPI and Tobit regression for the Indian private hospital industry.