The efficiency measurement of Indian police stations using data envelopment analysis

Anjali Sonkariya and Shiv Prasad Yadav

International Journal of Process Management and Benchmarking, 2026, vol. 22, issue 3, 289-306

Abstract: Data envelopment analysis (DEA) is a non-parametric technique used to measure the relative efficiencies of decision-making units (DMUs) that produce multiple outputs using multiple inputs. Police stations are the central pillar of society which provides security to the citizens. The present study seeks to evaluate the performance efficiency of police stations in India (states and union territories) using DEA. It suggests how inefficient DMUs can be made efficient and perform better by following the benchmarking DMUs. Data is collected from the website of the Bureau of Police Research and Development (BPRD), Goverment of India. The OTE, PTE and SE scores, RTS and peer set results are obtained using the CCR and BCC models. Based on the obtained OTE scores, the ranking of police stations is done. Super efficiency ranking by Andersen-Petersen model and Jack-Knifing analysis is presented. The categorisation of inefficient DMUs, robustness of efficient DMUs are discussed with the help of peer count. Finally, essential suggestions are provided for inefficient DMUs to become efficient.

Keywords: data envelopment analysis; DEA; decision making units; Jack-Knifing analysis; police efficiency; ranking of units; super efficiency. (search for similar items in EconPapers)
Date: 2026
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