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The Nature, Extent and Economic Impact of ... - Cardiff University

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<strong>The</strong> <strong>Nature</strong>, <strong>Extent</strong> <strong>and</strong> <strong>Economic</strong> <strong>Impact</strong> <strong>of</strong> Fraud in the UK<br />

EXECUTIVE SUMMARY<br />

This study was commissioned by the Association <strong>of</strong> Chief Police Officers’ <strong>Economic</strong> Crime Portfolio to<br />

meet the following objectives:<br />

5 to determine as accurately as possible — from existing published sources <strong>of</strong> information — the nature,<br />

extent, <strong>and</strong> cost <strong>of</strong> fraud to the public <strong>and</strong> private sectors;<br />

5 to assess critically the availability <strong>and</strong> quality <strong>of</strong> existing evidence on fraud; <strong>and</strong><br />

5 to recommend appropriate strategies to facilitate the comprehensive <strong>and</strong> consistent recording <strong>of</strong> data<br />

on fraud (i.e. strategies for future data capture).<br />

<strong>The</strong> study did not conduct original research to get a closer approximation to the ‘true cost <strong>of</strong> fraud’.<br />

Broad findings<br />

<strong>The</strong>re has not been the kind <strong>of</strong> centralised effort into estimating the extent <strong>of</strong> fraud that there has been<br />

into other areas <strong>of</strong> unreported <strong>and</strong> unrecorded crime: indeed it is not always obvious to victims<br />

themselves, or to outside observers, whether or not fraud has been committed. Nor has there been<br />

much effort in either private or public sectors to drill down into the social <strong>and</strong> economic costs <strong>of</strong> fraud.<br />

Nevertheless, substantial <strong>and</strong> varied data about many types <strong>of</strong> fraud in the UK are available. For each<br />

sector, this research sought to summarise data availability <strong>and</strong> deficiencies; the reasons underpinning data<br />

collection; data collection methods; <strong>and</strong> the known costs <strong>of</strong> fraud—divided into the direct (transfer) costs<br />

<strong>of</strong> the fraud, the costs <strong>of</strong> preventing fraud <strong>and</strong> the costs <strong>of</strong> responding to fraud after the event. Data on<br />

the costs <strong>of</strong> responding to fraud <strong>and</strong> <strong>of</strong> fraud prevention are particularly sparse, <strong>and</strong> for clarity, they have<br />

been kept disaggregated from fraud losses to victims.<br />

<strong>The</strong> studies reviewed in this research encompass global surveys (from which UK data can be drawn),<br />

national level surveys (both rolling <strong>and</strong> snapshots), through to national data collection exercises drawing<br />

on administrative data compiled by umbrella organisations, <strong>of</strong>ten focussing on particular types <strong>of</strong> fraud (as<br />

reflects their funding <strong>and</strong> member interests). Indeed, in the absence <strong>of</strong> a more systematic overview such<br />

as this (<strong>and</strong>, to a lesser extent, the NERA 2000 study that preceded it), something <strong>of</strong> a ‘free market’ in<br />

information about the cost <strong>of</strong> fraud has developed. <strong>The</strong> publicity given to the ever-higher ‘estimates’ <strong>of</strong><br />

fraud bears little relationship to the scientific rigour (or cost) <strong>of</strong> the studies themselves.<br />

In analysing the cost <strong>of</strong> fraud, the study adopted a conservative position based on the lower end <strong>of</strong><br />

estimation ranges. One consequence <strong>of</strong> that is that the aggregate cost figures in some sectors are lower<br />

than might be expected if better research were available. <strong>The</strong> data below are principally from 2005 or<br />

shortly before, but the lag in awareness <strong>of</strong> longer-term frauds (<strong>and</strong> the fact that some data such as<br />

income tax returns need to be filed only after the event) mean that some will date back years; <strong>and</strong><br />

whereas the private sector data are generally based on calendar years, the public sector typically uses<br />

financial years, making impossible their integration into annual snap-shots. <strong>The</strong> ‘health warning’ on these<br />

data is that because <strong>of</strong> uneven awareness <strong>and</strong> reporting, <strong>and</strong> the different approaches adopted in<br />

surveys/ studies, they may not reflect the ‘true’ distribution <strong>of</strong> fraud. Moreover, the extent <strong>and</strong> nature <strong>of</strong><br />

fraud are shaped by organisations’ business <strong>and</strong> service activities as well as by their culture, transparency<br />

<strong>and</strong> prevention efforts (plus <strong>of</strong>fender skills/energy).<br />

<strong>The</strong> minimum extent <strong>of</strong> the losses borne by victims in the private sector was judged to be<br />

as follows:<br />

1. For businesses in the financial service sector (i.e. banks, building societies, finance houses, insurance<br />

companies <strong>and</strong> their agents), some data are quite robust <strong>and</strong> some result from the administrative<br />

3

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