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EFFICIENCY DIFFERENCES AMONG LAW ENFORCING UNITS IN PUNJAB, PAKISTAN: Application of Data Envelopment Analysis

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  • Syed Hassan RAZA*
  • Bilal MEHMOOD**

Abstract

In recent years, all over the world, governments are much concerned about setting targets in order to achieve better efficiency of public goods. In Pakistan, the government of Punjab is also spending a major chunk of its yearly budget on the Punjab Police so that law and order situation can be controlled. The Punjab police is working in the province since 1861;now it is constituted under the Police Ordinance 2002. The main priority of police service is to provide security to its citizens. To check efficiency of the law enforcing agencies, particularly the police force. Unfortunately no study exist in this area for the province of Punjab, Pakistan. In the present study, efficiency of the Punjab police is evaluated at district level by incorporating multiple inputs and outputs with six years data set (from 2007 to 2012). Data Envelopment Analysis (DEA) is used to obtain efficiency of the Punjab Police at district level. In addition, the second stage DEA has provided district level targets and issues. The results of this study would help the researchers, policy makers, planners and the Government of Pakistan to device better police strategies, identify weak areas and improve performance of the police and set targets for inefficient units.

Suggested Citation

  • 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.
    • Handle: RePEc:pje:journl:article14sumii
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    References listed on IDEAS

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    Cited by:

    1. Asima Ihsan & Bilal Mehmood, 2016. "Relative Efficiencies of Public Parks in Three Cities of Punjab," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 9-24, January.

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