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An environment-adjusted evaluation of local police e ectiveness: evidence from a conditional Data Envelopment Analysis approach

Author

Listed:
  • Verschelde, Marijn

    (Universiteit Gent)

  • Rogge, Nicky

    (Hogeschool-Universiteit Brussel (HUB))

Abstract

Hard data alone are not sufficient to evaluate local police effectiveness in the new age of community policing. Citizens can provide useful feedback regarding strengths and weaknesses of police operations. However, citizen satisfaction indicators typically fail to accurately convey the multidimensional nature of local policing and account for characteristics that are non-controllable for the local police departments. To construct a measure of perceived effectiveness of community oriented police corpses that accounts for both multidimensional aspects of local policing and exogenous in uences, this paper proposes the use of a multivariate conditional, robust order-m version of a non-parametric Data Envelopment Analysis approach with no inputs. We show the potentiality of the method by constructing and analyzing effectiveness indicators of local police corpses in Belgium. The findings suggest that perceived police effectiveness is significantly conditioned by the demographic and socioeconomic environment.

Suggested Citation

  • Verschelde, Marijn & Rogge, Nicky, 2012. "An environment-adjusted evaluation of local police e ectiveness: evidence from a conditional Data Envelopment Analysis approach," Working Papers 2012/09, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    • Handle: RePEc:hub:wpecon:201209
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    Citations

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    Cited by:

    1. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    2. Benito, Bernardino & Martínez-Córdoba, Pedro-José & Guillamón, María-Dolores, 2021. "Measurement and determinants of efficiency in the municipal police service," Evaluation and Program Planning, Elsevier, vol. 85(C).
    3. Eni Dardha & Nicky Rogge, 2020. "How's Life in Your Region? Measuring Regional Material Living Conditions, Quality of Life and Subjective Well-Being in OECD Countries Using a Robust, Conditional Benefit-of-the-Doubt Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1015-1073, October.
    4. Geri L. Dimas & Malak El Khalkhali & Alex Bender & Kayse Lee Maass & Renata A. Konrad & Jeffrey S. Blom & Joe Zhu & Andrew C. Trapp, 2023. "Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis," Interfaces, INFORMS, vol. 53(6), pages 408-424, November.
    5. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
    6. Polemis, Michael L. & Tzeremes, Nickolaos G., 2019. "Competitive conditions and sectors’ productive efficiency: A conditional non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1104-1118.

    More about this item

    Keywords

    Local police effectiveness; Citizen survey; Data envelopment analysis; Conditional efficiency;
    All these keywords.

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