convergence
convergence
convergence
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Picard<br />
prohibited, taxed, or regulated. Indirect impacts include effects that are more diffuse or difficult<br />
to quantify (for example, erosion of the social fabric and the role of the state). We therefore<br />
decided to focus on crime-related effects for which means of quantification exist and that<br />
probably integrate at least some part of the intangible costs. Using the results of studies on the<br />
economic cost of drug abuse, we inferred that each dollar spent on the illicit drugs generates<br />
an overall cost of crime of slightly more than $1.50. As we do not dispose of equivalent studies<br />
for other illegal markets, we conjectured that this cost of crime over market size ratio could<br />
be applied to other markets. When estimates on market size exist, we can therefore estimate<br />
their indirect impact using this cost of crime ratio.<br />
Measuring direct impacts requires making a number of assumptions regarding economic<br />
valuation of the harm, although in most cases we can rely on studies and data sets to support<br />
them. The method is applied to the five illegal markets studied at the beginning of the chapter,<br />
and also for conflict resources although a global estimate was not provided. Going through<br />
the calculations illustrated the various choices that need to be made on the data sources, as<br />
well as the assumptions that are necessary, especially when data are lacking and must be supplemented<br />
by data on a different region or a different illegal market. Furthermore, the data<br />
and statistics that were fed into the model count themselves on multiple data sources and<br />
assumptions, which in most cases were selected for their scientific legitimacy or because they<br />
were coming from the organizations that have the best access to field data. The outcome is an<br />
estimated impact on the order of more than $1.5 trillion per year. While this number does<br />
not claim precision and relies on spelled-out assumptions, it should be taken as suggestive of<br />
the order of magnitude of the impacts. Another observation is that the total market size of the<br />
five studied illegal markets used in the application of the model is a bit less than $300 billion.<br />
This is five times less than the estimated impacts, indicating that, indeed, the effects of illicit<br />
markets matter more than their size.<br />
Acknowledgments<br />
The author would like to acknowledge that much of the intellectual input and stimulus for<br />
this chapter comes from discussions held at the World Economic Forum Global Agenda<br />
Council on Illicit Trade. Special thanks to Mariya Polner, Sandeep Chawla, Richard Danziger,<br />
Helena Leurent, and the editors for reading and providing extremely useful feedback<br />
on earlier versions.<br />
Notes<br />
1 Whack-a-mole is an arcade game in which moles pop up from their holes at random, and the aim of the game<br />
is to force the individual moles back into their holes by hitting them directly on the head with a mallet; no matter<br />
how adept the player is at whacking the moles, they keep reappearing. The image of a “Whack-a-mole problem” is<br />
used when enforcement actions seem to have no lasting impact in addressing the problem. See, for example, Illicit<br />
Tobacco: Various Schemes Are Used to Evade Taxes and Fee, U.S. GAO Report GAO-11-313 (March 2011), available<br />
at .<br />
2 Bruce Schneier, “The Global Illicit Economy,” Schneier on Security blog, September 8, 2009, available at<br />
.<br />
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