Human trafficking and violence: Findings from the largest global dataset of trafficking survivors

Background: Human trafficking is a recognized human rights violation, and a public health and global development issue. Violence is often a hallmark of human trafficking. This study aims to describe documented cases of violence amongst persons identified as victims of trafficking, examine associated factors throughout the trafficking cycle and explore prevalence of abuse in different labour sectors. Methods and findings: The IOM Victim of Trafficking Database (VoTD) is the largest database on human trafficking worldwide. This database is actively used across all IOM regional and country missions as a standardized anti-trafficking case-management tool. This analysis utilized the cases of 10,369 trafficked victims in the VoTD who had information on violence. Results: The prevalence of reported violence during human trafficking included: 54% physical and/or sexual violence; 50% physical violence; and 15% sexual violence, with 25% of women reporting sexual violence. Experiences of physical and sexual violence amongst trafficked victims were significantly higher amongst women and girls (AOR 2.48 (CI: 2.01,3.06)), individuals in sexual exploitation (AOR 2.08 (CI: 1.22,3.54)) and those experiencing other forms of abuse and deprivation, such as threats (AOR 2.89 (CI: 2.10,3.98)) and forced use of alcohol and drugs (AOR 2.37 (CI: 1.08,5.21)). Abuse was significantly lower amongst individuals trafficked internationally (AOR 0.36 (CI: 0.19,0.68)) and those using forged documents (AOR 0.64 (CI: 0.44,0.93)). Violence was frequently associated with trafficking into manufacturing, agriculture and begging (> 55%). Conclusions: An analysis of the world's largest data set on trafficking victims indicates that violence is indeed prevalent and gendered. While these results show that trafficking-related violence is common, findings suggest there are patterns of violence, which highlights that post-trafficking services must address the specific support needs of different survivors

The Political Economy of Foreign Direct Investment and Foreign Aid in Sub-Saharan Africa: An Empirical Approach

Dataset used for our paper "The Political Economy of Foreign Direct Investment and Foreign Aid in Sub-Saharan Africa: An Empirical Approach". Abstract: Foreign financial flows to Sub-Saharan Africa have soared in the past decade, notably Foreign Direct Investment (FDI) and Official Development Assistance (ODA). The aim of this paper is to evaluate their impacts on the recipient economies' growth. To do so, a two-stage least square analysis is carried out on an unbalanced panel of 41 Sub-Saharan African countries observed from 1980 to 2012. The instrumental strategy is drawn from the political and economic relationships between donors and recipients. The identifying hypothesis is that certain characteristics of a country's main ODA donors, such as GDP per capita, can only affect growth in that country through ODA and FDI. FDI is found to have a positive and significant effect on GDP per capita growth, whereas ODA has no impact

The Political Economy of Foreign Direct Investment and Foreign Aid in Sub-Saharan Africa: An Empirical Approach

Dataset used for our paper "The Political Economy of Foreign Direct Investment and Foreign Aid in Sub-Saharan Africa: An Empirical Approach". Abstract: Foreign financial flows to Sub-Saharan Africa have soared in the past decade, notably Foreign Direct Investment (FDI) and Official Development Assistance (ODA). The aim of this paper is to evaluate their impacts on the recipient economies' growth. To do so, a two-stage least square analysis is carried out on an unbalanced panel of 41 Sub-Saharan African countries observed from 1980 to 2012. The instrumental strategy is drawn from the political and economic relationships between donors and recipients. The identifying hypothesis is that certain characteristics of a country's main ODA donors, such as GDP per capita, can only affect growth in that country through ODA and FDI. FDI is found to have a positive and significant effect on GDP per capita growth, whereas ODA has no impact.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV