Evaluating Gains From Mergers In A Non-Parametric Public Good Model Of Police Services
AbstractThe merger of police services in the UK has been suggested on the grounds that efficiency improvements will be possible. This paper applies a public good model of the police service to evaluate the potential efficiency gains from mergers of police services in England and Wales. It uses a non-parametric method suggested by Bogetoft and Wang (2005) . We construct a dataset that reflects the public good nature of police service and allows for the exogenous imposition by government on the level of police service budgets. Our main finding is that English and Welsh police service mergers could lead to increases in police staff resource efficiencies between 10 per cent and 70 per cent. Hence, we confirm the government's decision to merge English and Welsh police services. Copyright � 2008 The Authors Journal compilation � CIRIEC 2008.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Annals of Public and Cooperative Economics.
Volume (Year): 79 (2008)
Issue (Month): 1 (03)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=1370-4788
Other versions of this item:
- Richard Simper & Tom Weyman-Jones, 2006. "Evaluating Gains from Mergers in a Non-Parametric Public Good Model of Police Services," Discussion Paper Series, Department of Economics, Loughborough University 2006_9, Department of Economics, Loughborough University, revised Mar 2006.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
- L30 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - General
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- Hall, Maximilian J.B. & Liu, Wenbin B. & Simper, Richard & Zhou, Zhongbao, 2013. "The economic efficiency of rehabilitative management in young offender institutions in England and Wales," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 47(1), pages 38-49.
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