We employ interactive quantile regressions to assess conditional linkages between foreign aid, iron ore exports and terrorism from a panel of 78 developing countries for the period 1984-2008. The following main findings are established. First, it is primarily in the countries with the highest...

This inquiry assess es if terrorism sustains the capital flight trap and whether the relationship is affected b y varying the levels of governance and globalisation. The empirical evidence is based on interactive Generalised Method of Moments with data from 37 African countries for the period...

The study investigates whether development assistance can be used to crowd-out the negative effect of terrorism on international trade. The empirical evidence is based on a panel of 78 developing countries for the period 1984-2008 and Quantile Regressions. The following main findings are...

In this paper, we investigate the role of security officers, the police and armed service personnel in dampening the effect of terrorism externalities on tourist arrivals. The temporal and geographic scopes are respectively 2010-2015 and 163 countries. Four terrorism measurements are used. They...

In this study, we investigate the role of development assistance in reducing a hypothetically negative impact of terrorism on economic growth, using a panel of 78 developing nations with data for the period 1984-2008. The empirical evidence is based on interactive Quantile regressions. Domestic,...

This study assesses the comparative economics of governance in fighting terrorism in 53 African countries for period 1996-2012. Four terrorism variables are used, namely: domestic, transnational, unclear and total terrorism dynamics. Nine bundled and unbundled governance variables are employed,...

This study examines the effect of terrorism and peace on tourist destination arrivals using a panel of 163 countries with data for the period 2010 to 2015. The empirical evidence is based on Generalised Method of Moments and Negative Binomial (NB) regressions. Our best estimators are from NB...