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The economic efficiency of rehabilitative management in young offender institutions in England and Wales

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  • Hall, Maximilian J.B.
  • Liu, Wenbin B.
  • Simper, Richard
  • Zhou, Zhongbao

Abstract

In the light of the UK Government's call for efficiency savings across all departments, including the Criminal Justice System, this paper attempts to shed some light on how cost savings can best be secured in the running of Young Offender Institutions (YOIs) in England and Wales. It does this by identifying ‘best practice’ YOIs using recently-developed Data Envelopment Analysis that caters for both good and undesirable outputs (such as assaults and testing positive for illicit drugs by inmates), thereby allowing policymakers to deliver cost savings through the spread of management techniques adopted by benchmark YOIs. The study also analyses the size-efficiency relationship for YOIs in England and Wales and finds that, although the smallest institutions are typically the most efficient, the size-efficiency relationship is quite complex. This calls into question the Government's wisdom of building ‘titan’ prisons in England and Wales which, perversely, might decrease the efficiency of rehabilitating young offenders.

Suggested Citation

  • 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, vol. 47(1), pages 38-49.
    • Handle: RePEc:eee:soceps:v:47:y:2013:i:1:p:38-49
    DOI: 10.1016/j.seps.2012.10.002
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    1. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    4. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    5. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    6. Leigh M. Drake & Richard Simper, 2005. "The Measurement Of Police Force Efficiency: An Assessment Of U.K. Home Office Policy," Contemporary Economic Policy, Western Economic Association International, vol. 23(4), pages 465-482, October.
    7. Marques, Rui & Simões, Pedro, 2009. "How far are Portuguese prisons inefficient? A non-parametric approach," MPRA Paper 19565, University Library of Munich, Germany.
    8. Richard SIMPER & Thomas WEYMAN‐JONES, 2008. "Evaluating Gains From Mergers In A Non‐Parametric Public Good Model Of Police Services," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(1), pages 3-33, March.
    9. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    10. Kenneth Avio, 1998. "The Economics of Prisons," European Journal of Law and Economics, Springer, vol. 6(2), pages 143-175, September.
    11. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
    12. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    13. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2011. "An alternative to the weighted score card approach to measuring performance: An analysis of English and Welsh probation boards," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 184-193, December.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Bayer, Patrick & Pozen, David E, 2005. "The Effectiveness of Juvenile Correctional Facilities: Public versus Private Management," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 549-589, October.
    16. Drake, Leigh M. & Simper, Richard, 2005. "Police Efficiency in Offences Cleared: An Analysis of English "Basic Command Units"," International Review of Law and Economics, Elsevier, vol. 25(2), pages 186-208, June.
    17. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    18. Thanassoulis, Emmanuel, 1995. "Assessing police forces in England and Wales using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 87(3), pages 641-657, December.
    19. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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    Cited by:

    1. Rogge, Nicky & Simper, Richard & Verschelde, Marijn & Hall, Maximilian, 2015. "An analysis of managerialism and performance in English and Welsh male prisons," European Journal of Operational Research, Elsevier, vol. 241(1), pages 224-235.
    2. Hennebel, Veerle & Simper, Richard & Verschelde, Marijn, 2017. "Is there a prison size dilemma? An empirical analysis of output-specific economies of scale," European Journal of Operational Research, Elsevier, vol. 262(1), pages 306-321.

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    More about this item

    Keywords

    Data envelopment analysis; Young offender institutions; Efficiency; Prisons;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

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