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Economic Preconditions for Terrorism : = A Quantitative Examination of Per Captia Gross Domestic Product, The Gini Coefficient, and Unemployment Rates.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Economic Preconditions for Terrorism :/
Reminder of title:	A Quantitative Examination of Per Captia Gross Domestic Product, The Gini Coefficient, and Unemployment Rates.
Author:	Moy, Wesley R.
Description:	1 online resource (144 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.
Contained By:	Dissertation Abstracts International79-02A(E).
Subject:	Management. -
Online resource:	click for full text (PQDT)
ISBN:	9780355441468

Economic Preconditions for Terrorism : = A Quantitative Examination of Per Captia Gross Domestic Product, The Gini Coefficient, and Unemployment Rates.
Moy, Wesley R.

Economic Preconditions for Terrorism :A Quantitative Examination of Per Captia Gross Domestic Product, The Gini Coefficient, and Unemployment Rates. - 1 online resource (144 pages)

Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.

Thesis (D.B.A.)

Includes bibliographical references

An understanding of the root causes of terrorism is critical to locating business facilities overseas and managing international operations, yet little is known about the role of country-level economic conditions and the emergence of terrorism, particularly after 9/11. Understanding the causes of terrorism can inform decision making in the regions that affect personnel, facilities, supply chains, and customers. The purpose of this quantitative, correlational study was to examine the influence of income, income inequality, and unemployment as predictor variables on the emergence of terrorism at the national-level as the criterion variable. Rational choice and structural theory explain most types of terrorism at the individual, group, and country levels. Preconditions, structural aspects of a society that set the stage for the emergence of terrorism, and precipitants, triggers for the adoption of terrorism as a strategy by opposition groups, combine to explain the outbreak of terrorism. The study used an ex-post facto design with economic predictor variables obtained from the world Banks Economic Indicators database and compared with terrorism incidents at the country level from the University of Maryland's Global Terrorism Database for the years 2001 through 2015. The data were first subjected to an exploratory data analysis to create a basic understanding of the data and then examined using simple and multiple regression analyses that looked for linear and nonlinear relationships between the predictor and criterion variables. Testing was conducted for linear, logarithmic, inverse, quadratic, and cubic relationships. Using country-years as the unit of analysis, a statistically significant inverse relationship was found between income level and terrorism for the last two-thirds of the study period but not the entire period. From 2007 to 2015, higher levels of per capita gross domestic product were associated with less terrorism. No statistically significant relationships were found for income inequality and unemployment. The findings suggest that businesses should using caution in operations in low income countries, however, terrorism seems to be concentrated in about 20 identified countries rather than the entire developing world. More research is required on structural factors that may support the outbreak of terrorism including political, social, religious, and additional economic predictor variables.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355441468Subjects--Topical Terms:

558618
Management.
Index Terms--Genre/Form:

554714
Electronic books.

Economic Preconditions for Terrorism : = A Quantitative Examination of Per Captia Gross Domestic Product, The Gini Coefficient, and Unemployment Rates.
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520 $a An understanding of the root causes of terrorism is critical to locating business facilities overseas and managing international operations, yet little is known about the role of country-level economic conditions and the emergence of terrorism, particularly after 9/11. Understanding the causes of terrorism can inform decision making in the regions that affect personnel, facilities, supply chains, and customers. The purpose of this quantitative, correlational study was to examine the influence of income, income inequality, and unemployment as predictor variables on the emergence of terrorism at the national-level as the criterion variable. Rational choice and structural theory explain most types of terrorism at the individual, group, and country levels. Preconditions, structural aspects of a society that set the stage for the emergence of terrorism, and precipitants, triggers for the adoption of terrorism as a strategy by opposition groups, combine to explain the outbreak of terrorism. The study used an ex-post facto design with economic predictor variables obtained from the world Banks Economic Indicators database and compared with terrorism incidents at the country level from the University of Maryland's Global Terrorism Database for the years 2001 through 2015. The data were first subjected to an exploratory data analysis to create a basic understanding of the data and then examined using simple and multiple regression analyses that looked for linear and nonlinear relationships between the predictor and criterion variables. Testing was conducted for linear, logarithmic, inverse, quadratic, and cubic relationships. Using country-years as the unit of analysis, a statistically significant inverse relationship was found between income level and terrorism for the last two-thirds of the study period but not the entire period. From 2007 to 2015, higher levels of per capita gross domestic product were associated with less terrorism. No statistically significant relationships were found for income inequality and unemployment. The findings suggest that businesses should using caution in operations in low income countries, however, terrorism seems to be concentrated in about 20 identified countries rather than the entire developing world. More research is required on structural factors that may support the outbreak of terrorism including political, social, religious, and additional economic predictor variables.
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