Shadow Economies and Corruption All Over the World - Index of - IZA
Shadow Economies and Corruption All Over the World - Index of - IZA
Shadow Economies and Corruption All Over the World - Index of - IZA
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5 Summary <strong>and</strong> Conclusions<br />
There have been many obstacles to overcome to measure <strong>the</strong> size <strong>of</strong> <strong>the</strong> shadow economy, to<br />
analyze its consequences on <strong>the</strong> <strong>of</strong>ficial economy <strong>and</strong> <strong>the</strong> interaction between corruption <strong>and</strong><br />
<strong>the</strong> shadow economy, but as this paper shows some progress has been made. I provided<br />
estimates <strong>of</strong> <strong>the</strong> size <strong>of</strong> <strong>the</strong> shadow economies for 145 countries for three periods <strong>of</strong> time<br />
(1999/2000, 2001/2002 <strong>and</strong> 2002/2003) using <strong>the</strong> DYMIMIC <strong>and</strong> <strong>the</strong> currency dem<strong>and</strong><br />
approach. Coming back to <strong>the</strong> question in <strong>the</strong> headline <strong>of</strong> this paper, some (new)<br />
knowledge/insights are gained with respect to <strong>the</strong> size <strong>and</strong> development <strong>of</strong> <strong>the</strong> shadow<br />
economy <strong>of</strong> developing, transition, highly developed OECD, Pacific Isl<strong>and</strong>s <strong>and</strong> Communist<br />
countries, 30) <strong>and</strong> to <strong>the</strong> relationship between <strong>the</strong> shadow economy <strong>and</strong> corruption leading to<br />
five conclusions:<br />
The first conclusion from <strong>the</strong>se results is that for all countries investigated <strong>the</strong> shadow<br />
economy has reached a remarkably large size; <strong>the</strong> summarized results are shown in table 5.1.<br />
Table 5.1: Average Size <strong>of</strong> <strong>the</strong> <strong>Shadow</strong> Economy for Developing, Transition <strong>and</strong> OECD-<br />
Countries in % <strong>of</strong> <strong>of</strong>ficial GDP<br />
Average Size <strong>of</strong> <strong>the</strong> <strong>Shadow</strong> Economy – Value added in % <strong>of</strong><br />
<strong>of</strong>ficial GDP using DYMIMIC <strong>and</strong> Currency Dem<strong>and</strong><br />
Countries/Year<br />
method (Number <strong>of</strong> Countries)<br />
Mostly developing countries: 1999/2000 2000/2001 2002/2003<br />
Africa 41.3<br />
(37)<br />
Central <strong>and</strong> South America 41.1<br />
(21)<br />
Asia 28.5<br />
(28)<br />
Transition countries<br />
38.1<br />
(25)<br />
Highly developed OECD<br />
Countries<br />
16.8<br />
(21)<br />
South Pacific Isl<strong>and</strong>s 31.7<br />
(10)<br />
Communist Countries 19.8<br />
(3)<br />
Unweighted Average over 145<br />
Countries<br />
Source: Own calculations.<br />
42.3<br />
(37)<br />
42.1<br />
(21)<br />
29.5<br />
(28)<br />
39.1<br />
(25)<br />
16.7<br />
(21)<br />
32.6<br />
(10)<br />
21.1<br />
(3)<br />
43.2<br />
(37)<br />
43.4<br />
(21)<br />
30.4<br />
(28)<br />
40.1<br />
(25)<br />
16.3<br />
(21)<br />
33.4<br />
(10)<br />
22.3<br />
(3)<br />
33.6 34.5 35.2<br />
30) In <strong>the</strong> appendix some critical discussion <strong>of</strong> <strong>the</strong>se two methods is given, <strong>the</strong>y have well known weaknesses,<br />
compare also Pedersen (2003).<br />
34