• ISSN(P) : 2708-2474
  • ISSN(E) : 2708-2482
  • ISSN(L) : 2708-2474

Article

 

Evidential Analysis of Terrorism and I-VEO Knowledge Matrix in the Context of Security as Pure Public Good: The case of Pakistan from 1990 to 2010

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Abstract

The case of Pakistan has presented if security provision is a pure public good in the light of the I-VEO Knowledge Matrix hypotheses. Evidential analysis of the data from 1990 to 2010 from the Global Terrorism Database (GTD) suggests that terrorism incidents are not reduced with the increase of public expenditure on defence, and instead, more fatalities and injuries are witnessed during the years. The analysis is based in isolation to terrorist attacks, defence expenditure and relating hypotheses of Influential Violent Extremists Organization Knowledge Matrix (I- VEO Knowledge Matrix) and counterterrorism operations, at ceteris paribus. The I-VEO Knowledge Matrix shows there is a lack of a comprehensive set of strategy based on the collection of relevant hypotheses more productive than the existing and likely less effective counterterrorism strategies to ensure security provision as a pure public good in the case of Pakistan

Authors

1-Aziz Ahmed
Lecturer, Department of Economics, Faculty of Management Sciences, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Balochistan, Pakistan.

2-Nagina Gul
Assistant Professor, Department of Economics, Faculty of Management Sciences, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Balochistan, Pakistan.

3-Hussan Ara Magsi
Assistant Professor, Department of Political Science, University of Balochistan, Quetta, Balochistan, Pakistan.

Keywords

Pure Public Good, I-VEO Knowledge Matrix, Incidents

DOI Number

10.31703/gmsr.2021(VI-I).06

DOI Link

http://dx.doi.org/10.31703/gmsr.2021(VI-I).06

Page Nos

62-73

Volume & Issue

VI - I


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Published: Mar 2021

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