Identifying Input Excess and Output Shortfall in the Indian Health Systems Using Non-radial Slack Based Data Development Analysis

Tigga, Nutan Shashi, Sarkar, Pinak and Mor, Nachiket (2025) Identifying Input Excess and Output Shortfall in the Indian Health Systems Using Non-radial Slack Based Data Development Analysis. In: Advances in the Theory and Practice of Data Envelopment Analysis: Proceedings of the International Conference on Data Envelopment Analysis (DEA2024). Springer, pp. 336-349. ISBN 9783031981777

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Abstract

We analyse the efficiency of India’s health system by assessing input excesses and output shortfalls, specifically focusing on government health expenditure, health personnel, and public hospital against the infant survival rate as output. Using time-series data from 2014-15 to 2019-20 of 21 states, our non-radial, non-oriented, Slack-Based Measure Data Envelopment Analysis (DEA) model yields an average efficiency score of 84%, highlighting significant potential for improvement. Bihar showed efficiency despite resource constraints, while Himachal Pradesh remained inefficient. These findings suggest reallocating resources to health services in underperforming states and encourage collaboration with the private sector in states like Kerala and West Bengal, which have higher private expenditure. This study uniquely employs slack-based DEA to compare India’s health system during the specified period.

Item Type: Book Section
Keywords: Efficiency | government health expenditure | health system | Infant Survival Rate | Slack-based Measure Data Envelopment Analysis
Subjects: Social Sciences and humanities > Social Sciences > Social Sciences (General)
Social Sciences and humanities > Social Sciences > Health (Social sciences)
JGU School/Centre: Jindal School of Banking and Finance
Depositing User: Mr. Arjun Dinesh
Date Deposited: 01 Oct 2025 20:24
Last Modified: 01 Oct 2025 20:24
Official URL: https://doi.org/10.1007/978-3-031-98177-7_23
URI: https://pure.jgu.edu.in/id/eprint/10212

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