Financial Capability and Sociodemographic Factors among Survivors of Human Trafficking

J Evid Inf Soc Work. 2018 Mar-Apr;15(2):122-135. doi: 10.1080/23761407.2017.1419154. Epub 2017 Dec 26.

Abstract

Improving the economic well-being of the girls and women is a key to reducing re-trafficking and in providing stability that survivors can use to rebuild their lives. The study looks at how various sociodemographic traits affected the financial capability of n = 144 women and girls who received intervention at a residential care facility in Ghana, West Africa. Three domain of financial capability are assessed in this, i.e., financial risk, financial planning, and financial saving. A scaled likelihood ratio test (chi-square difference test) was used to evaluate the significance of each direct covariate effect(%). Each of the overall goodness-of-fit indices suggested that the initial CFA model fit the data well, χ2(19, N = 144) = 31.45, p = 0.04, RMSEA = 0.067 (90% CI: 0.017-0.108), TLI = 0.923, CFI = 0.948. Older women reported lower levels of financial savings than younger women. We found that women with secondary school education or higher reported significantly higher financial risk than women with less education. Women with children reported lower levels of financial saving than women without children. Married women indicated significantly more financial saving than single women. There was a significant negative effect of time spent in trafficking conditions on financial saving, indicating the highest average level of financial savings at intervention and decreased thereafter. Programs and policies in resource-scarce contexts that aim to assist trafficking survivors must go beyond providing psychosocial counseling and focus also on economic development opportunities.

Keywords: Human trafficking; economic stability; financial capability; sociodemographic traits; women.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Educational Status
  • Female
  • Ghana
  • Human Trafficking / statistics & numerical data*
  • Humans
  • Socioeconomic Factors*
  • Survivors / statistics & numerical data*
  • Young Adult