Assessing Mechanisms to Hold Corporations Accountable for Severe Labor Exploitation
Leveraging time-series stock price data, court records, and corporate ownership network data, the Human Trafficking Data Lab is examining the repercussions of Brazil’s Dirty List for implicated companies.
Traditionally, in the fight against human trafficking, naming-and-shaming can be a useful tactic in deterring illegal labor exploitation. These “dirty lists” publicly document companies found using forced labor and, in Brazil’s context, enforce credit and other country-level sanctions, not to mention foreign trade repercussions. Our focus extends beyond just understanding the impact: we are also delving into corporate strategies that aim to circumvent the financial ramifications imposed by such lists.
Location: Brazil (nationwide)
Funder
Stanford King Center on Global Development