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| 1 |
ID:
113936
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| Publication |
2012.
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| Summary/Abstract |
Although several existing studies examine the economic impact of transnational terrorism by referring to its potential to reduce foreign direct investment (FDI), they overlook possible differences in the effects of business-related and non-business-related terrorism. We argue that the former type of terror negatively affects FDI since it damages multinationals' buildings, destroys their products, kills their employees, and causes a rise in insurance premiums. The latter type of terror, however, does not induce the same ramifications and should thus have little or less influence on a country's FDI. In order to examine the effects of these two different types of transnational terrorism, we employ three different statistical techniques using data gleaned from the International Terrorism: Attributes of Terrorist Events (ITERATE) dataset. A cross-sectional, time-series data analysis of 123 developing countries during the period from 1980 to 2008 reveals that transnational terrorism that harms multinational businesses contributes to a decrease of foreign investment but transnational terrorism that afflicts non-business-related targets is statistically irrelevant. This implies that when countries implement counterterrorism measures that are directly intended to mitigate the impact of business-related terrorist activities, they are likely to attract more foreign capital and should therefore realize a greater degree of economic development.
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| 2 |
ID:
137787
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| Summary/Abstract |
One of the goals of peacekeeping operations is limiting the amount of violence that takes place during a civil war. However, peacekeeping forces cannot occupy every part of a country that is engulfed in a civil conflict. This raises the question as to where peacekeeping forces decide to go once they are deployed to a civil war-torn country. In this article, we contribute to the burgeoning research that examines peacekeeping at the microlevel by attempting to determine whether peacekeeping operations go to those areas that are in most need of their help. Utilizing geocoded data from the UCDP GED and PKOLED projects, we use spatial analysis techniques to create kernel density estimates of civil war violence and peacekeeping operations at site-specific locations. We then use these newly generated variables in a variety of regression models to determine whether the location of civil war battles influences the location of peacekeepers. The analysis confirms our expectations in that the location of violence significantly predicts the location of peacekeeping operations, but only after these operations have been in a civil war-torn country for a considerable length of time. Contrary to our expectations, however, peacekeeping operations do not seem more adept at identifying and responding to government and rebel violence relative to attacks against civilians
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