DATA ENVELOPMENT ANALYSIS FOR ASSESSING
EFFICIENCY IN PUBLIC UTILITIES WITH A FOCUS
ON WATER AND SEWERAGE SERVICES

Amra Gadžo1ORCID logo, Benina Veledar2ORCID logo and Alma Osmanović Đaković3

1University of Tuzla
  Tuzla, Bosnia and Herzegovina
2University of Sarajevo
  Sarajevo, Bosnia and Herzegovina
3High School of Transport Tuzla
  Tuzla, Bosnia and Herzegovina

INDECS 22(4), 497-509, 2024
DOI 10.7906/indecs.22.4.8
Full text available in pdf pdf icon format.
 

Received: 6th February 2024.
Accepted: 6th August 2024.
Regular article

ABSTRACT

This article aims to demonstrate that the Data Envelopment Analysis method can be employed to evaluate the operational efficiency of public utility enterprises under state ownership or local government jurisdiction, such as cities and municipalities. These enterprises are tasked with delivering high-quality public services to citizens at affordable prices. Achieving this goal necessitates efficient management and judicious use of public resources. The research evaluated the efficiency of public water utility enterprises in the Federation of Bosnia and Herzegovina using the Data Envelopment Analysis method. Three indicators were used as inputs in the model: asset value, number of employees, and total expenses. The output indicator was total revenue, which reflects the number of users under relatively uniform service tariffs. The findings reveal that 92.31% of these public utilities exhibit technical efficiency levels above 90%. Additionally, 53.85% demonstrate 100% technical efficiency in input utilisation. The results highlight enterprises that inefficiently use assets incur above-average costs or employ more workers than necessary. The study concludes that the Data Envelopment Analysis model effectively identifies state-owned public utility enterprises that consume above-average resources to deliver the same scope and quality of services.

KEY WORDS
data envelopment analysis, resource efficiency measurement, public utility companies, public water supply and sanitation companies

CLASSIFICATION
JEL:M40, M48


This is the official web site of the Scientific Journal INDECS.
Questions, comments and suggestions please send to: indecs@indecs.eu
Last modified: 20 June 2016.