World Bank Senior Economist Bob Rijkers discusses how matching customs declarations data can help detect illicit financial flows.
How we measure corruption shapes how we view and address the problem - but measuring corruption is also extraordinarily difficult and complex.
The Global Programme for Measuring Corruption ('GPMC') recently held a 'think-in' at their HQ in the International Anti-Corruption Academy, in Vienna, to examine one area that is particularly hard to measure – Illicit Financial Flows, or IFFs, and specifically the IFFs that arise from grand corruption.
The GPMC assembled a team of practitioners and academics to debate and discuss the topic over three days in Vienna.
In this podcast recorded at the 'think-in', Bob Rijkers, a Senior Economist at the World Bank, discusses a paper he co-authored about using using customs declarations data to detect IFFs.
Here is the link to his published paper on corruption in Madagascar customs: https://academic.oup.com/qje/article/138/1/575/6695012
The working paper version can be found here: https://documents1.worldbank.org/curated/en/726921634045778647/pdf/Corruption-in-Customs.pdf
The Tunisia research can be found here: https://www.sciencedirect.com/science/article/pii/S0304387816300608
The working paper can be found here: https://documents1.worldbank.org/curated/en/440461468173649062/pdf/WPS6810.pdf
If you enjoyed this conversation, and would like to listen to a round-up of the whole 'think-in' we have just the podcast for you.
In it, the co-organisers Liz David Barrett and Ken Okamura - discuss why they chose the topic, what they learnt from the 'think-in' and how it will inform future work.
If you would like to read an overview of the whole 'think-in' here’s our key insights brief published afterwards.
If you want to find out more about the programme, visit this link:
And if you have specific questions please feel free to email the team: email@example.com
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