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03/23/03
Facts
While we should
concern on the war in Iraq, let’s not forget to fight
our own war: The war against corruption and poverty.
According to the recent report by
Transparency International, Indonesia remains the
most corrupt country in the East Asian Pacific region
and is rank number 7 as the most corrupt country in
the world after Bangladesh, Nigeria, Paraguay,
Madagascar, Angola and Kenya. The ranking is based on
Corruption Perception Index (CPI) designed by TI which
relates to perceptions of the degree of corruption as
seen by business people, academics and risk analysts,
and ranges between 10 (highly clean) and 0 (highly
corrupt). CPI score for Indonesia is 1.9, only 0.7
point higher than the lowest score (See table 3).
The ranking tells us
little about the size of corruption. If we compare to
the Gross Domestic Product, the CPI ranking gives us a
better picture that Indonesia is the most corrupt
country on earth (table 1). It is widely believed,
according to the statement by the Chairman of National
Development Planning Agency, Kwik Kian Gie and the
late Professor Sumitro, that about 30% of the
government budget is corrupted. Suppose we use this
number to approximate the total amount of funds that
has been corrupted in Indonesia during the last 25
years prior to 1999. The results are listed in table 2
and it shows a staggering amount of $150 billions!
This is very close to the current total of our
national debts (public plus private debts).
Suppose we assume
that the percentage of the government budget corrupted
is between 20% to 40% then the total amount of funds
that has been corrupted during the period of 1975 to
1999 is between $100 to $200 billions. So far, there
has been a limited studies conducted to estimate the
total amount of funds corrupted in the country. But,
whatever it might be, it is likely to be in that
range.
Corruption,
unfortunately, is everywhere, but as the number
suggests, corruption in Indonesia is too much to
comprehend. It is safe to say that it is the major
culprit that has brought the nation down.
The manifestations of
corruption creep up in all aspects of government and
society. There is big corruption in a big arena, like
Bank scandals, Pertamina scandal and
multimillion-dollar-government projects. There is
small corruption in a small arena, like a police
officer that accepts a bribe to forget about a traffic
violation. Any type of corruption, no matter how big
or small, is a blow to national economy and
development.
Next: What
should we do?
Related articles:
Did corruption contribute to the
economic crisis?
Corruption: common places and
its implications
Table 1. The most corrupted countries in the world.
|
Country |
Worst rank by CPI |
GDP in 2001(US$ billion - constant 1995) |
|
Bangladesh |
1 |
51.43
|
|
Nigeria |
2 |
33.47
|
|
Paraguay |
3 |
9.30
|
|
Madagascar |
4 |
4.07
|
|
Angola |
5 |
7.10
|
|
Kenya |
6 |
9.98
|
|
Indonesia |
7 |
216.18
|
|
Source: GDP: World
Development Indicator, World Bank ; CPI:
Transparency International |
Table 2. The Indonesian government expenditures,
1975-1999
| |
Expenditures (Current US$ - billions) |
30% of expenditures |
|
1975 |
6.25 |
1.87 |
|
1976 |
8.13 |
2.44 |
|
1977 |
8.93 |
2.68 |
|
1978 |
11.02 |
3.31 |
|
1979 |
11.69 |
3.51 |
|
1980 |
17.27 |
5.18 |
|
1981 |
22.55 |
6.76 |
|
1982 |
20.51 |
6.15 |
|
1983 |
17.99 |
5.40 |
|
1984 |
16.38 |
4.91 |
|
1985 |
18.70 |
5.61 |
|
1986 |
19.37 |
5.81 |
|
1987 |
15.85 |
4.76 |
|
1988 |
17.02 |
5.11 |
|
1989 |
18.39 |
5.52 |
|
1990 |
21.01 |
6.30 |
|
1991 |
21.19 |
6.36 |
|
1992 |
25.72 |
7.71 |
|
1993 |
26.34 |
7.90 |
|
1994 |
28.63 |
8.59 |
|
1995 |
29.67 |
8.90 |
|
1996 |
33.29 |
9.99 |
|
1997 |
38.80 |
11.64 |
|
1998 |
17.39 |
5.22 |
|
1999 |
28.45 |
8.53 |
| |
|
|
| |
500.53 |
150.16 |
|
Source: GDP: World Development Indicator, World
Bank |
Table 3. Corruption Perception Index 2002 Scores
|
|
|
Country |
Country |
CPI 2002 |
High-low Range |
|
Rank |
score |
|
1 |
Finland |
9.7 |
8.9 - 10.0 |
|
2 |
Denmark |
9.5 |
8.9 - 9.9 |
|
New Zealand |
9.5 |
8.9 - 9.6 |
|
4 |
Iceland |
9.4 |
8.8 - 10.0 |
|
5 |
Singapore |
9.3 |
8.9 - 9.6 |
|
Sweden |
9.3 |
8.9 - 9.6 |
|
7 |
Canada |
9 |
8.7 - 9.3 |
|
Luxembourg |
9 |
8.5 - 9.9 |
|
Netherlands |
9 |
8.5 - 9.3 |
|
10 |
United Kingdom |
8.7 |
7.8 - 9.4 |
|
11 |
Australia |
8.6 |
6.1 - 9.3 |
|
12 |
Norway |
8.5 |
6.9 - 9.3 |
|
Switzerland |
8.5 |
6.8 - 9.4 |
|
14 |
Hong Kong |
8.2 |
6.6 - 9.4 |
|
15 |
Austria |
7.8 |
7.2 - 8.7 |
|
16 |
USA |
7.7 |
5.5 - 8.7 |
|
17 |
Chile |
7.5 |
5.6 - 8.8 |
|
18 |
Germany |
7.3 |
5.0 - 8.1 |
|
Israel |
7.3 |
5.2 - 8.0 |
|
20 |
Belgium |
7.1 |
5.5 - 8.7 |
|
Japan |
7.1 |
5.5 - 7.9 |
|
Spain |
7.1 |
5.2 - 8.9 |
|
23 |
Ireland |
6.9 |
5.5 - 8.1 |
|
24 |
Botswana |
6.4 |
5.3 - 8.9 |
|
25 |
France |
6.3 |
4.8 - 7.8 |
|
Portugal |
6.3 |
5.5 - 8.0 |
|
27 |
Slovenia |
6 |
4.7 - 8.9 |
|
28 |
Namibia |
5.7 |
3.6 - 8.9 |
|
29 |
Estonia |
5.6 |
5.2 - 6.6 |
|
Taiwan |
5.6 |
3.9 - 6.6 |
|
31 |
Italy |
5.2 |
3.4 - 7.2 |
|
32 |
Uruguay |
5.1 |
4.2 - 6.1 |
|
33 |
Hungary |
4.9 |
4.0 - 5.6 |
|
Malaysia |
4.9 |
3.6 - 5.7 |
|
Trinidad & Tobago |
4.9 |
3.6 - 6.9 |
|
36 |
Belarus |
4.8 |
3.3 - 5.8 |
|
Lithuania |
4.8 |
3.4 - 7.6 |
|
South Africa |
4.8 |
3.9 - 5.5 |
|
Tunisia |
4.8 |
3.6 - 5.6 |
|
40 |
Costa Rica |
4.5 |
3.6 - 5.9 |
|
Jordan |
4.5 |
3.6 - 5.2 |
|
Mauritius |
4.5 |
3.5 - 5.5 |
|
South Korea |
4.5 |
2.1 - 7.1 |
|
44 |
Greece |
4.2 |
3.7 - 5.5 |
|
45 |
Brazil |
4 |
3.4 - 4.8 |
|
Bulgaria |
4 |
3.3 - 5.7 |
|
Jamaica |
4 |
3.6 - 4.3 |
|
Peru |
4 |
3.2 - 5.0 |
|
Poland |
4 |
2.6 - 5.5 |
|
50 |
Ghana |
3.9 |
2.7 - 5.9 |
|
51 |
Croatia |
3.8 |
3.6 - 4.0 |
|
52 |
Czech Republic |
3.7 |
2.6 - 5.5 |
|
Latvia |
3.7 |
3.5 - 3.9 |
|
Morocco |
3.7 |
1.7 - 5.5 |
|
Slovak Republic |
3.7 |
3.0 - 4.6 |
|
Sri Lanka |
3.7 |
3.3 - 4.3 |
|
57 |
Colombia |
3.6 |
2.6 - 4.6 |
|
Mexico |
3.6 |
2.5 - 4.9 |
|
59 |
China |
3.5 |
2.0 - 5.6 |
|
Dominican Rep. |
3.5 |
3.0 - 3.9 |
|
Ethiopia |
3.5 |
3.0 - 4.0 |
|
62 |
Egypt |
3.4 |
1.7 - 5.3 |
|
El Salvador |
3.4 |
2.0 - 4.2 |
|
64 |
Thailand |
3.2 |
1.5 - 4.1 |
|
Turkey |
3.2 |
1.9 - 4.6 |
|
66 |
Senegal |
3.1 |
1.7 - 5.5 |
|
67 |
Panama |
3 |
1.7 - 3.6 |
|
68 |
Malawi |
2.9 |
2.0 - 4.0 |
|
Uzbekistan |
2.9 |
2.0 - 4.1 |
|
70 |
Argentina |
2.8 |
1.7 - 3.8 |
|
71 |
Cote d’Ivoire |
2.7 |
2.0 - 3.4 |
|
Honduras |
2.7 |
2.0 - 3.4 |
|
India |
2.7 |
2.4 - 3.6 |
|
Russia |
2.7 |
1.5 - 5.0 |
|
Tanzania |
2.7 |
2.0 - 3.4 |
|
Zimbabwe |
2.7 |
2.0 - 3.3 |
|
77 |
Pakistan |
2.6 |
1.7 - 4.0 |
|
Philippines |
2.6 |
1.7 - 3.6 |
|
Romania |
2.6 |
1.7 - 3.6 |
|
Zambia |
2.6 |
2.0 - 3.2 |
|
81 |
Albania |
2.5 |
1.7 - 3.3 |
|
Guatemala |
2.5 |
1.7 - 3.5 |
|
Nicaragua |
2.5 |
1.7 - 3.4 |
|
Venezuela |
2.5 |
1.5 - 3.2 |
|
85 |
Georgia |
2.4 |
1.7 - 2.9 |
|
Ukraine |
2.4 |
1.7 - 3.8 |
|
Vietnam |
2.4 |
1.5 - 3.6 |
|
88 |
Kazakhstan |
2.3 |
1.7 - 3.9 |
|
89 |
Bolivia |
2.2 |
1.7 - 2.9 |
|
Cameroon |
2.2 |
1.7 - 3.2 |
|
Ecuador |
2.2 |
1.7 - 2.6 |
|
Haiti |
2.2 |
0.8 - 4.0 |
|
93 |
Moldova |
2.1 |
1.7 - 3.0 |
|
Uganda |
2.1 |
1.9 - 2.6 |
|
95 |
Azerbaijan |
2 |
1.7 - 2.4 |
|
96 |
Indonesia |
1.9 |
0.8 - 3.0 |
|
Kenya |
1.9 |
1.7 - 2.5 |
|
98 |
Angola |
1.7 |
1.6 - 2.0 |
|
Madagascar |
1.7 |
1.3 - 2.5 |
|
Paraguay |
1.7 |
1.5 - 2.0 |
|
101 |
Nigeria |
1.6 |
0.9 - 2.5 |
|
102 |
Bangladesh |
1.2 |
0.3 - 2.0 |
|
Explanatory notes |
|
|
|
A more detailed description of the CPI 2002
methodology is available at http://www.transparency.org/cpi/index.html#cpi
or at www.gwdg.de/~uwvw/2002.html |
|
|
|
A CPI 2002 Score |
|
relates to perceptions of the degree of
corruption as seen by business people, academics
and risk analysts, and ranges between 10 (highly
clean) and 0 (highly corrupt). |
|
|
|
A Surveys Used |
|
refers to the number of surveys that assessed a
country's performance. A total of 15 surveys
were used from nine independent institutions,
and at least three surveys were required for a
country to be included in the CPI. |
|
|
|
Standard Deviation |
|
indicates differences in the values of the
sources: the greater the standard deviation, the
greater the differences of perceptions of a
country among the sources. |
|
|
|
High-Low Range |
|
provides the highest and lowest values of the
different sources. |
|
|
|
|
|
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