ABSTRACT
In this study, a cutting-edge methodology for measuring the performance of water utilities based on two-stage Data Envelopment Analysis (DEA) was applied to individual districts of a California-based water utility. A bootstrap technique involving the construction of confidence intervals was implemented to overcome the deterministic nature of conventional DEA, and a number of exogenous variables were incorporated into the model to help identify the factors affecting technical efficiency. Results indicated high overall performance achieved by the utility on average (92%). The number of connections and precipitation were found to be statistically significant exogenous variables, and both were determined to have a negative impact on efficiencies. The findings of this study are expected to be useful for guiding subsequent managerial improvement initiatives.
Disclosure statement
No potential conflict of interest was reported by the authors.