 Factors affecting police station efficiency: DEA in police logisticsZilla Sinuany-Stern and Doron Alper International Journal of Logistics Systems and Management, 2019, vol. 34, issue 1, 75-101 Abstract: This study identifies factors affecting police station performance in Israel. In the first stage, data envelopment analysis (DEA) was used to measure the relative efficiency of 60 police stations, based on two inputs and 16 outputs, including several logistic parameters. In the second stage, a cross-efficiency (CE) measure was then used to rank-scale police stations. We show that CE, which is calculated as the average of its evaluations using the weights of all stations, has a normal distribution. In the third stage, multiple regressions were performed to verify the effect of various logistic and environmental factors on CE efficiency (from the second stage). We found that one logistical factor, the number of vehicles of the population in a station's jurisdiction, was statistically significant. We show that the use of CE in the regression analysis offers a novel approach for dealing with stochastic DEA. Keywords: efficiency; logistics; data envelopment analysis; DEA; police; police performance; productivity; benchmark; linear programming; statistical inference; performance; regression analyses; Israel. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:34:y:2019:i:1:p:75-101 Access Statistics for this article More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.