Incorporating demand constraints into piecewise frontier models of public service provision

Hong Ngoc Nguyen and O’Donnell, Christopher

Omega, 2024, vol. 128, issue C

Abstract: Evaluating the performance of public service providers is often complicated by the fact that they must choose input levels before demands for their services are known. We consider an even more complicated situation in which service providers have no opportunity to directly influence demands. This means that their predetermined inputs may be more than what is required to meet realised demands. In such cases, conventional measures of revenue efficiency will generally mis-classify rational and efficient managers as inefficient. We develop a more appropriate measure of revenue efficiency that accounts for exogenously-determined demands. We explain how data envelopment analysis (DEA) methods can be used to estimate our measure. The methodology is applied to hospital and health service networks in Queensland (Australia). We find that most of these networks were able to maximise the revenue they could obtain from their predetermined inputs.

Keywords: Data envelopment analysis; Technical efficiency; Allocative efficiency; Demand uncertainty; Hospitals (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.omega.2024.103117

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