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Measuring the performance of police forces in Taiwan using data envelopment analysis

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  • Wu, Tai-Hsi
  • Chen, Ming-Shiun
  • Yeh, Jin-Yii

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.

Suggested Citation

  • Wu, Tai-Hsi & Chen, Ming-Shiun & Yeh, Jin-Yii, 2010. "Measuring the performance of police forces in Taiwan using data envelopment analysis," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 246-254, August.
  • Handle: RePEc:eee:epplan:v:33:y:2010:i:3:p:246-254
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    References listed on IDEAS

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    2. Isabel-María García-Sánchez & Luis Rodríguez-Domínguez & Javier Parra-Domínguez, 2013. "Yearly evolution of police efficiency in Spain and explanatory factors," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 31-62, January.
    3. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    4. Liu, Zhongyi & Liu, Jingchen & Zhai, Xin & Wang, Guanying, 2019. "Police staffing and workload assignment in law enforcement using multi-server queueing models," European Journal of Operational Research, Elsevier, vol. 276(2), pages 614-625.
    5. Puneet Agarwal & Kyle Hunt & Jun Zhuang & Bijan Sarkar & Amitrajit Sarkar & Ramesh Sharma, 2021. "An exploratory analysis for performance assessment of state police forces in india: an eclectic approach," Operational Research, Springer, vol. 21(2), pages 1125-1151, June.
    6. 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).
    7. Surender Kumar & Sudesh Kumar, 2015. "Does modernization improve performance: evidence from Indian police," European Journal of Law and Economics, Springer, vol. 39(1), pages 57-77, February.
    8. Isabel García-Sánchez & Luis Rodríguez-Domínguez & Javier Parra Domínguez, 2013. "Evaluation of the efficacy and effectiveness of the Spanish security forces," European Journal of Law and Economics, Springer, vol. 36(1), pages 57-75, August.
    9. Syed Hassan RAZA* & Bilal MEHMOOD**, 2014. "EFFICIENCY DIFFERENCES AMONG LAW ENFORCING UNITS IN PUNJAB, PAKISTAN: Application of Data Envelopment Analysis," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(1), pages 17-37.
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