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TEILDOKUMENT:
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Tables and diagrams
Table 1: Contributions to the European Development Fund and the proportion of delivery orders, proportions in %
Country |
Contributions 7th EDF |
Contributions 8th EDF |
Delivery Orders in 7th EDF |
Country |
Contributions 7th EDF |
Contributions 7th EDF |
Delivery Orders in 7th EDF |
Belgium |
3.96 |
3.78 |
5.18 |
Italy |
12.96 |
12.10 |
19.68 |
Denmark |
2.07 |
2.07 |
2.49 |
Luxembourg |
0.19 |
0.28 |
0.80 |
Germany |
25.96 |
22.54 |
9.51 |
Netherlands |
5.57 |
5.03 |
3.50 |
Finland |
|
1.43 |
|
Austria |
|
2.56 |
|
France |
24.37 |
23.45 |
18.51 |
Portugal |
0.88 |
0.94 |
2.67 |
Greece |
1.22 |
1.20 |
0.16 |
Sweden |
|
2.63 |
|
Great Britain |
16.37 |
12.25 |
12.34 |
Spain |
5.90 |
5.64 |
3.16 |
Ireland |
0.55 |
0.60 |
1.94 |
ACP States |
|
|
17.52 |
Source: Euro-CIDSE News Bulletin, June 1995: 19.
Table 2: A comparison of funds stemming from various in the Lomé Agreements, in billion ECU and %
|
Lomé I |
Lomé II |
Lomé III |
Lomé IV/1 |
Lomé IV/2 |
|
19751980 |
19801985 |
19851990 |
19901995 |
19952000 |
|
4th EDF |
5th EDF |
6th EDF |
7th EDF |
8th EDF |
|
total |
total |
% |
total |
% |
total |
% |
total |
% |
Conditional aid (12) |
2.057 |
2.986 |
54 |
4.860 |
57 |
7.995 |
67 |
9.592 |
65.6 |
1 Grants |
2.057 |
2.986 |
54 |
4.860 |
57 |
6.845 |
57 |
8.192 |
56.0 |
2 Structural Adjustment Loans |
|
|
|
|
|
1.150 |
10 |
1.400 |
9.6 |
Non-conditional aid (36) |
0.923 |
1.641 |
30 |
2.540 |
30 |
2.800 |
23 |
|
|
3 Special Loans |
0.446 |
0.518 |
9 |
0.600 |
7 |
|
|
|
|
4 Risk Capital |
0.097 |
0.284 |
5 |
0.600 |
7 |
0.820 |
7 |
1.000 |
6.8 |
5 STABEX |
0.380 |
0.557 |
10 |
0.925 |
11 |
1.500 |
12 |
1.800 |
12.3 |
6 SYSMIN |
|
0.282 |
5 |
0.415 |
5 |
0.480 |
4 |
0.575 |
3.9 |
7 EDF (16) |
2.980 |
4.627 |
84 |
7.400 |
87 |
10.800 |
90 |
12.967 |
88.7 |
8 EIB |
0.390 |
0.885 |
16 |
1.100 |
13 |
1.200 |
10 |
1.658 |
11.3 |
Total (78) |
3.457 |
5.512 |
100 |
8.500 |
100 |
12.000 |
100 |
14.625 |
100 |
Key: EDF = European Development Fund; EIB = European Investment Bank funds
Source: Commission 1992.
[page-number of print-ed.: 38]
Table 3: Regional distribution of EC/EU development aid, in %
|
1975/76 |
1980/81 |
1990/91 |
1993 |
Sub-Saharan Africa |
59.6 |
60.3 |
58.2 |
45.5 |
Near East/Middle East/North Africa |
12.3 |
11.7 |
19.6 |
25.6 |
Latin America and the Caribbean |
5.4 |
6.3 |
10.1 |
10.9 |
South Asia |
20.8 |
16.9 |
7.2 |
5.3 |
Other Asian Countries and Oceania |
1.9 |
4.8 |
4.9 |
4.6 |
Other LLDCs |
|
|
|
8.1 |
Source: OECD/DAC 1996.
Table 4: Development aid payments of the EU 19901993, in million ECU
|
1990 |
1991 |
1992 |
1993 |
EDF* |
1,256 |
1,195 |
1,942 |
1,354 |
General Development aid budget |
953 |
2,228 |
2,037 |
2,529 |
Food Aid |
485 |
650 |
627 |
434 |
Asia and Latin America |
245 |
253 |
319 |
354 |
Mediterranean Third World Countries |
103 |
165 |
219 |
353 |
Humanitarian Aid |
20 |
116 |
121 |
341 |
Non-governmental organisations |
85 |
87 |
101 |
129 |
PHARE and TACIS** |
|
305 |
484 |
719 |
Other*** |
16 |
651 |
165 |
200 |
Total |
2,209 |
3,423 |
3,979 |
3,883 |
Note:
* The decline in EDF between 1992 and 1993, can be traced back to the drop in STABEX funds.
** PHARE (Poland and Hungary Assistance for Economic Restructuring) and TACIS (Technical Assistance to the Commonwealth of Independent States), are support measures aimed at rebuilding the former East Block.
*** Comprises funds for the reconstruction of countries damaged by the Gulf War (1991), among other purposes.
Source: Memorandum of the European Communities to the DAC 1993 and 1994.
[page-number of print-ed.: 39]
Table 5: STABEX transfers according to products,
in million ECU and %
|
1990 |
1991 |
Products |
Transfers |
Proportion in % |
Transfers |
Proportion in % |
Coffee and coffee products |
147.615 |
69.5 |
250.912 |
64.1 |
Cocoa and cocoa products |
43.382 |
20.4 |
68.935 |
17.6 |
Cotton wool |
0.347 |
0.2 |
27.722 |
7.1 |
Leather and skins |
0.543 |
0.3 |
13.568 |
3.5 |
Coconut |
2.239 |
1.1 |
5.371 |
1.4 |
Wood |
11.845 |
5.6 |
4.658 |
1.2 |
Calamaris |
N/A |
N/A |
4.087 |
1.0 |
Rubber |
N/A |
N/A |
3.468 |
0.9 |
Tea |
N/A |
N/A |
2.288 |
0.6 |
Vanilla |
0.807 |
0.4 |
1.637 |
0.4 |
Peanuts and peanut products |
2.326 |
1.1 |
0.695 |
0.2 |
Bananas |
1.504 |
0.7 |
1.030 |
0.3 |
Palm products |
0.656 |
0.3 |
0.545 |
0.1 |
Cloves |
0.655 |
0.3 |
0.615 |
0.2 |
Source: Commission 1993b; 1991c.
Table 6: SYSMIN payments 19801990, in million ECU and %
Country |
Products |
Million ECU |
% Share of total payments |
Zambia |
Copper/Cobalt |
83.0 |
24.4 |
Zaire |
Copper/Cobalt |
81.0 |
23.8 |
Guinea |
Aluminium |
35.0 |
10.3 |
Guyana |
Bauxite |
34.5 |
10.1 |
Botswana |
Nickel/Copper |
21.7 |
6.4 |
Papua New Guinea |
Bauxite/Copper |
21.0 |
6.2 |
Mauritania |
Iron Ore |
18.0 |
5.3 |
Togo |
Phosphate |
15.7 |
4.6 |
Senegal |
Phosphate |
15.0 |
4.4 |
Niger |
Gold/Coal |
12.5 |
3.7 |
Rwanda |
Tin |
2.8 |
0.8 |
Liberia |
Iron Ore |
0.05 |
0.0 | Source: Commission.
[page-number of print-ed.: 40]
Table 7: Industrial promotion within the EDF
|
4th EDF |
5th EDF |
Sub-Sector |
Million ECU |
% |
Million ECU |
% |
General |
41.6 |
9.8 |
151.6 |
20.0 |
Extraction industry |
18.9 |
4.5 |
206.0 |
27.3 |
Metal processing |
10.6 |
2.5 |
0.1 |
|
Chemical industry |
11.5 |
2.7 |
12.7 |
1.7 |
Processing industry |
104.1 |
24.6 |
76.9 |
10.2 |
Agricultural and food processing |
12.9 |
3.0 |
54.2 |
7.2 |
Energy projects |
168.7 |
39.8 |
241.3 |
32.0 |
Infrastructure and industrial projects |
6.8 |
1.6 |
10.0 |
1.3 |
Crafts and small-size industries |
6.8 |
1.6 |
10.0 |
1.3 |
Integrated projects |
45.7 |
10.8 |
|
|
Source: Commission and according to Parfitt 1992
Table 8: A Model to reduce funding through subsidy instruments
Funds for SYSMIN and STABEX (in million ECU) |
Reduction within a period of 5 years (in million ECU) |
|
Lomé I |
Lomé II |
Lomé III |
Lomé IV/1 |
Lomé IV/2 |
20002005 |
20052010 |
20102015 |
2015 |
STABEX |
380 |
557 |
925 |
1,500 |
1,800 |
600 |
600 |
600 |
0 |
Balance* |
|
|
|
|
|
1200 |
600 |
0 |
0 |
SYSMIN |
|
282 |
415 |
480 |
575 |
225 |
175 |
175 |
0 |
Balance* |
|
|
|
|
|
350 |
175 |
0 |
0 |
* Remaining amount of subsidisation by the end of the 5th year.
[page-number of print-ed.: 41]
Table 9: Urban population development in Africa 19502020
Year |
Region |
Total population (in thousands) |
Urban population (in thousands) |
Urban proportion (in %) |
1950 |
East |
64.984 |
3.405 |
5,2 |
Central |
26.316 |
3.747 |
14,2 |
North |
51.798 |
12.667 |
25,0 |
Southern |
15.736 |
5.972 |
37,9 |
West |
63.150 |
6.457 |
10,2 |
Africa |
221.984 |
32.248 |
14,5 |
1990 |
East |
232.243 |
42.860 |
18,4 |
Central |
81.933 |
26.458 |
32,2 |
North |
159.245 |
62.695 |
39,3 |
Southern |
45.972 |
22.465 |
48,8 |
West |
227.426 |
62.962 |
27,6 |
Africa |
746.819 |
217.440 |
29,1 |
2025 |
East |
542.536 |
254.138 |
46,8 |
Central |
192.342 |
122.328 |
63,6 |
North |
274.390 |
181.981 |
66,3 |
Southern |
80.133 |
59.123 |
73,7 |
West |
507.455 |
294.165 |
57,9 |
Africa |
1.596.856 |
911.735 |
57,1 |
Source: UN World Urbanization Prospects 1990; Tarver 1994.
[page-number of print-ed.: 42]
Table 10: Population increase in urban agglomerations,which have grown from 50,000 adults since independence to 1 million inhabitants
|
|
|
Estimated Population in thousand |
Country (independence) |
Urban agglomeration |
[a] at independence |
[b] in 1990 |
[c] in the year 2000 |
[a]:[c] in % |
1 |
Angola (1975) |
Luanda |
669 |
1,717 |
2,866 |
428 |
2 |
Cameroon (1960) |
Douala |
150 |
1,200 |
.. |
.. |
3 |
The Ivory Coast (1960) |
Abidjan |
180 |
2,168 |
3,530 |
1961 |
4 |
Ethiopia |
Addis Abeba |
401 |
1,890 |
3,126 |
780 |
5 |
Ghana (1957) |
Accra |
350 |
1,100 |
1,496 |
427 |
6 |
Guinea (1958) |
Conakry |
100 |
1,296 |
2,255 |
2255 |
7 |
Kenya (1963) |
Nairobi |
275 |
1,503 |
2,722 |
990 |
8 |
Mozambique (1975) |
Maputo |
532 |
1,588 |
3,139 |
590 |
9 |
Nigeria (1960) |
Ibadan |
570 |
1,326 |
1,954 |
343 |
10 |
Nigeria (1960) |
Lagos |
763 |
7,706 |
12,890 |
1689 |
11 |
Senegal (1960) |
Dakar |
366 |
1,492 |
2,284 |
624 |
12 |
South Africa (1910) |
Cape Town |
174 |
2,400 |
3,100 |
1782 |
13 |
South Africa (1910) |
Durban |
90 |
2,600 |
4,100 |
4556 |
14 |
South Africa (1910) |
Pretoria |
80 |
1,600 |
2,550 |
3188 |
15 |
South Africa (1910) |
Witwatersrand* |
450 |
5,000 |
6,700 |
1489 |
16 |
Tanzania (1961) |
Dar es. Salaam |
180 |
1,657 |
3,127 |
1737 |
17 |
Zaire (1960) |
Kinshasa |
451 |
3,505 |
5,520 |
1224 |
18 |
Zambia (1964) |
Copperbelt |
500 |
1,650 |
.. |
.. |
19 |
Zambia (1964) |
Lusaka |
150 |
1,020 |
1,800 |
1200 |
20 |
Zimbabwe (1980) |
Harare |
590 |
1,000 |
1530 |
259 |
|
|
* today Guateng |
7,021 |
43,418 |
64,689 |
921 |
Source: UN World Urbanisation Prospects 1990; Tarver 1994.
[page-number of print-ed.: 43]
Table 11: Income distribution 19811992
Country |
Income proportion of the 40% poorest countries, in % |
Gini Coefficient* |
Population below the
poverty line in % |
Botswana |
9 |
|
51 |
The Ivory Coast |
13 |
0.55 |
28 |
Ghana |
19 |
0.44 |
42 |
Kenya |
10 |
0.77 |
52 |
Lesotho |
9 |
|
54 |
Madagascar |
|
0.80 |
|
Malawi |
|
0.36 |
82 |
Morocco |
23 |
|
31 |
Mauritania |
14 |
0.36 |
|
Mauritius |
|
|
12 |
Rwanda |
23 |
|
85 |
Zimbabwe |
10 |
|
|
Swaziland |
|
|
48 |
Tunisia |
16 |
0.40 |
18 |
* The gini coefficient is a measure of the (in)equality of income distribution within a society. The closer the value is to 1.0, the greater the inequality of distribution. Values of around 0.86 as is the case in Brazil or Madagascar with 0.8 , are an indication of great inequality. In the majority of development countries, the gini coefficient lies between 0.4 and 0.6. According to the data given in Table 11, income distribution in Tunisia is not as unequal as in the Ivory Coast.
Source: UNDP (1992 and 1993); World Bank (1992).
Table 12: Foreign direct investment in sub-Saharan Africa. Countries are ranked in order of their significance; average investments 19911993 are given in million US $
Country |
million US $ |
Country |
million US $ |
Country |
million US $ |
Nigeria |
780 |
Swaziland |
58 |
Seychelles |
22 |
Angola |
386 |
Gabon |
56 |
Ghana |
20 |
Zambia |
97 |
Botswana |
40 |
Guinea |
20 |
Namibia |
76 |
Equatorial Guinea |
28 |
Madagascar |
18 |
The Ivory Coast |
63 |
Mozambique |
26 |
Sierra Leone |
16 |
|
|
|
|
Mauritius |
14 |
Source: UNCTAD 1995.
[page-number of print-ed.: 44]
Table 13: Africas imports from industrial nations 19551991 (proportions in %)
Year |
Japan |
European Community |
Western Europe* |
USA |
1955 |
4 |
N/A |
87 |
8 |
1965 |
11 |
56 |
76 |
13 |
1975 |
15 |
68 |
74 |
11 |
1980 |
10 |
69 |
80 |
10 |
1985 |
8 |
67 |
79 |
13 |
1991 |
7 |
68 |
80 |
9 |
* European Community plus EFTA.
Source: UNCTAD, Monthly Bulletin, various editions.
Table 14: Africas exports (in billion US $) according to regions 19801993
|
1980 |
1988 |
1989 |
1990 |
1991 |
1992 |
1993 |
World |
94.9 |
51.8 |
56.3 |
66.5 |
70.0 |
70.1 |
69.4 |
EC |
43.9 |
29.8 |
31.8 |
39.2 |
40.2 |
40.8 |
40.7 |
USA |
29.7 |
7.6 |
9.4 |
12.3 |
12.9 |
12.7 |
12.5 |
Japan |
2.0 |
1.4 |
1,6 |
1.4 |
1.4 |
1.6 |
1.8 |
3rd Welt |
13.0 |
8.5 |
8.7 |
8.8 |
10.1 |
10.6 |
10.4 |
Source: UNCTAD, Monthly Bulletin, various editions.
[page-number of print-ed.: 45]
Diagram 1:
Flow of foreign direct investment to Africa(including North Africa), in billion US $
Source: according to UNCTAD 1995.
Diagram 2:
Flow of private capital to ACP states, in million ECU
Source: Huybrechts 1995: 40.
[page-number of print-ed.: 46]
Diagram 3:
Africas export structure 19801991
Source: UNCTAD, Monthly Bulletin, various editions.
© Friedrich Ebert Stiftung
| technical support | net edition
fes-library | April 2002 |