Measuring the performance of police forces in Taiwan using data envelopment analysis
Tai-Hsi Wu,
Ming-Shiun Chen and
Jin-Yii Yeh
Evaluation and Program Planning, 2010, vol. 33, issue 3, 246-254
Abstract:
Recently, the National Police Agency of Taiwan has begun to measure performance levels for police forces across the entire island. The performance benchmarks resulting from this strategy have become the basis for allocation of government funding and other scarce resources. In this work, data envelopment analysis (DEA) was used to construct a scalar measure of efficiency for all police precincts. Further analyses on the effect of degree of urbanization and possible weight restrictions on the outputs upon the efficiency scores of each decision making unit (DMU) were conducted. In addition, a three-stage DEA model was applied to explicitly incorporate environmental factors into the DEA model. The results show that the external environmental factors specified in this study may have some effects on the efficiency scores of each district, albeit not statistically significant. Most decision making units are technically efficient; the average technical efficiency of all DMUs was as high as 98.46% when external environmental factors were accounted for.
Keywords: Performance; measuring; Data; envelopment; analysis; Police; efficiency (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0149-7189(09)00087-1
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:epplan:v:33:y:2010:i:3:p:246-254
Access Statistics for this article
Evaluation and Program Planning is currently edited by Jonathan A. Morell
More articles in Evaluation and Program Planning from Elsevier
Bibliographic data for series maintained by Catherine Liu ().