Evaluating efficient public good provision: Theory and evidence from a generalised conditional efficiency model for public libraries
Provision of most public goods (e.g., health care, libraries, education, police, fire protection, utilities) can be characterised by a two-stage production process. In the first stage, basic inputs (e.g., labour and capital) are used to generate service potential (e.g., opening hours, materials), which is then, in the second stage, transformed into observed outputs (e.g., school outcomes, library circulation, crimes solved). As final outputs are also affected by demand-side factors, conflating both production stages likely leads to biased inferences about public productive (in)efficiency and its determinants. Hence, this paper uses a specially tailored, fully non-parametric efficiency model allowing for both outlying observations and heterogeneity to analyse efficient public good provision in stage one only. We employ a dataset comprising all 290 Flemish public libraries. Our findings suggest that ideological stance of the local government, wealth and density of the local population and source of library funding (i.e., local funding versus intergovernmental transfers) strongly affect library productive efficiency.
Year of publication: |
2010
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Authors: | De Witte, Kristof ; Geys, Benny |
Publisher: |
Berlin : Wissenschaftszentrum Berlin für Sozialforschung (WZB) |
Subject: | Public good provision | conditional efficiency | nonparametric estimation | libraries | local govenment |
Saved in:
freely available
Series: | WZB Discussion Paper ; SP II 2010-14 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 682405396 [GVK] hdl:10419/54594 [Handle] RePEc:zbw:wzbfff:SPII201014 [RePEc] |
Classification: | C14 - Semiparametric and Nonparametric Methods ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; I21 - Analysis of Education |
Source: |
Persistent link: https://www.econbiz.de/10010307687