This paper introduces an agent-based model to explore the existence of positive feedback loops related to illegal, unregulated, unreported (IUU) fishing; the use of forced labour; and the depletion of fish populations due to commercial fishing. The author hypothesizes the use of forced labour adversely impacts economic activity, provides incentive for illicit activity, and depletes the population of fish. Left unchecked, such a dynamic may lead to irreversible environmental impacts, exacerbate international tensions, and yield significant economic losses. The lack of reliable data on human trafficking and global fisheries makes statistical analysis extremely difficult. This model serves to consolidate several behavioral and impact assumptions into a single exploratory model in order to test these assumptions and establish a proof of concept to guide future research.
In 2016, a new study, funded by iPoint, was conducted in conjunction with Development International. 1,961 brands were evaluated against their disclosure compliance based on the law’s Risk Verification, Audit, Certification, Internal accountability...Read More
Sharing of information between financial institutions related to potential money laundering and human trafficking activities is essential in the fight against modern slavery. However, the laws covering personal data privacy, anti-money laundering, ...Read More
Using a unique data set based on factory audits of working conditions in over 800 of Nike's suppliers in 51 countries, this paper seeks to explore whether or not monitoring for compliance with corporate codes of conduct -- currently the principal wa...Read More
The ECPAT Summary Papers explore what we've learned over 30 years of working to protect children from sexual exploitation. The papers offer a stocktake of what has changed in the way the crimes are committed, how our understanding has developed, and...Read More
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