Project Details
Description
Illegal logging generates over US$50 billion in proceeds annually,
engenders mass deforestation, and incentivises human rights abuses. As
a result, frontline environmental defenders, states, and the international
law enforcement community, have used anti-money laundering
mechanisms over the past decade to target the transnational structures
that enable the extraction, movement, and conversion of illegal logs.
Despite this significant investment, research in the Asia-Pacific indicates
this is not changing the behaviour of illegal loggers or disrupting the flow of
illicit value.
Employing an abductive research design this study will investigate this
surprising finding emerging from practice. In line with abductive principals,
AML practitioners will be incorporated into the study at an early stage
using focus groups to formulate hypotheses that explain the above
surprising finding. Focus group results will be used to generate
explanatory hypotheses, complimented by the use of theoretical concepts
drawn from the nodal governance and security network literature. These
explanatory hypotheses will then be tested through diagnostic fieldwork
focusing on the network of stakeholders involved in both monitoring illegal
logging flows emerging out of Papua New Guinea and contributing to AML
mechanisms.
The results will be analysed using thematic and social network analysis. It
is expected that the findings will make a significant contribution to the
literature on environmental crime and security networks. In addition, the
findings will lead to diagnostic recommendations that can help support
future capacity building and strengthening of AML measures deployed in
the Asia Pacific to combat illegal logging.
| Status | Not started |
|---|---|
| Effective start/end date | 14/09/26 → 14/03/30 |
Funding
- Economic and Social Research Council (ESRC): £116,900.27
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.