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.

中文翻译：

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使用非参数线性规划测量水务绩效

摘要 在这项研究中，一种基于两阶段数据包络分析 (DEA) 的用于衡量供水设施绩效的尖端方法被应用于加利福尼亚州供水设施的各个地区。实施了涉及构建置信区间的引导技术，以克服传统 DEA 的确定性，并将许多外生变量纳入模型，以帮助确定影响技术效率的因素。结果表明，该实用程序平均实现了较高的整体性能 (92%)。发现连接数和降水量是统计上显着的外生变量，并且两者都被确定对效率有负面影响。