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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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