
6.
Regional
differences: Africa, Asia, Europe, USA |
 |
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Comparisons of internet costs between Asia, Europe and the USA,
allow us to identify the key differences between regions in terms
of internet costs:
- The cost of internet access is much lower in developed countries
than in developing countries. For example, the total cost of
internet access in Singapore (US$10.56 per month) is much lower
than the cost in Kiribati (US$143.73). this is due to lower
prices for leased lines, less need for international transit,
local peering, etc in developed countries.
- In Singapore, internet access is equivalent to 0.5% of monthly
GDP per capita. By contrast, in Kiribati, a group of 33 coral
atolls in the Pacific Ocean, internet access costs 3.38 times
the average monthly income. In relative terms therefore, it
is much more expensive for someone living in a developing country
to access the internet than in a developed country. If people
were prepared to spend as much as, say, 5% of their monthly
income on internet access, then it would be affordable only
in 11 out of 35 countries in the Asia Pacific region).
- Because of the need for direct international internet connections
between Tier 3 ISPs in developing countries and internet backbone
providers, wealth flows from the developed periphery to the
developed core.
- The affordability of Internet access
has a direct correlation with the level of Internet penetration1.
The table shows that the countries with the lowest cost Internet
access generally have the highest penetration. In Australia,
where 37% of people are Internet users, the cost of Internet
access is 1.1% of monthly income. In Papua New
Guinea where 0.98% of the population are Internet users, Internet
access costs 8 times the average monthly income.
- Obviously where there are disparities of wealth within countries,
the less well-off are less likely to use the internet. The
digital divide then finds expression along other economic (rural/urban)
and social (age, gender) axes.
- In addition to wealth, the digital divide is caused by three
factors: local call rates and leased lines rates are kept (artificially)
high in unliberalised markets; the structure of the internet
which forces ISPs in developing countries to connect to the
internet backbone through international links, and; the cost
of international bandwidth.
Table 1. Asia Pacific: Comparison of internet costs, income
and internet penetration ranked by cost of monthly internet access
|
Country |
ISP subscription
(per month in US$) |
Telephone
call charge (per month in US$) |
Total cost
of Internet access |
GDP per
capita (US$) |
GDP per
capita per month (US$) |
Cost of
Internet access as % of GDP per capita |
Internet
penetration (%) |
|
Singapore |
0 |
10.56 |
10.56 |
23137 |
1928.1 |
0.5 |
36.3 |
|
New Zealand |
11.74 |
0 |
11.74 |
13311 |
1109.3 |
1.1 |
28.57 |
|
Malaysia |
5.26 |
7.11 |
12.37 |
3869 |
322.4 |
3.8 |
27.31 |
|
Macau |
13.54 |
0 |
13.54 |
14078 |
1173.2 |
1.2 |
22.54 |
|
China |
9.78 |
4.35 |
14.13 |
834 |
69.5 |
20.3 |
2.56 |
|
India |
5.98 |
10.17 |
16.15 |
459 |
38.3 |
42.2 |
0.68 |
|
Australia |
15 |
3.42 |
18.42 |
19987 |
1665.6 |
1.1 |
37.13 |
|
Tonga |
18.87 |
0 |
18.87 |
1504 |
125.3 |
15.1 |
2.83 |
|
Nepal |
13.34 |
6 |
19.34 |
239 |
19.9 |
97.1 |
0.26 |
|
Philippines |
19.42 |
0 |
19.42 |
977 |
81.4 |
23.9 |
2.55 |
|
Pakistan |
9.69 |
10.17 |
19.86 |
427 |
35.6 |
55.8 |
0.35 |
|
Sri Lanka |
5.59 |
14.77 |
20.36 |
882 |
73.5 |
27.7 |
0.8 |
|
Brunei Darussalam |
22.19 |
0 |
22.19 |
13175 |
1097.9 |
2.0 |
1.04 |
|
Hong Kong SAR |
17.69 |
4.62 |
22.31 |
24136 |
2011.3 |
1.1 |
38.48 |
|
Indonesia |
11.45 |
11.4 |
22.85 |
738 |
61.5 |
37.2 |
1.91 |
|
Vietnam |
15.89 |
7.21 |
23.1 |
393 |
32.8 |
70.5 |
1.24 |
|
Korea |
23.24 |
0 |
23.24 |
10036 |
836.3 |
2.8 |
52.1 |
|
Thailand |
5.4 |
20.3 |
25.7 |
2018 |
168.2 |
15.3 |
5.77 |
|
Bangladesh |
12.9 |
18.28 |
31.18 |
351 |
29.3 |
106.6 |
0.19 |
|
Guam |
35 |
0 |
35 |
22086 |
1840.5 |
1.9 |
30.53 |
|
Fiji |
38.75 |
1.58 |
40.33 |
1788 |
149.0 |
27.1 |
1.82 |
|
Lao PDR |
33 |
9.05 |
42.05 |
325 |
27.1 |
155.3 |
0.18 |
|
Japan |
42.07 |
0 |
42.07 |
37544 |
3128.7 |
1.3 |
43.93 |
|
Bhutan |
30.73 |
12.71 |
43.44 |
715 |
59.6 |
72.9 |
0.43 |
|
Taiwan |
47.08 |
0 |
47.08 |
13819 |
1151.6 |
4.1 |
34.9 |
|
Samoa |
29.09 |
20.69 |
49.78 |
1330 |
110.8 |
44.9 |
1.67 |
|
Papua New Guinea |
25.96 |
26.55 |
52.51 |
78 |
6.5 |
807.8 |
0.94 |
|
Iran |
40.39 |
12.93 |
53.32 |
5181 |
431.8 |
12.3 |
1.55 |
|
Maldives |
65.36 |
0 |
65.36 |
1978 |
164.8 |
39.7 |
3.64 |
|
Vanuatu |
75.7 |
0 |
75.7 |
1148 |
95.7 |
79.1 |
2.73 |
|
French Polynesia |
24.75 |
57.37 |
82.12 |
16834 |
1402.8 |
5.9 |
6.76 |
|
New Caledonia |
29.89 |
53.8 |
83.69 |
14250 |
1187.5 |
7.0 |
11.35 |
|
Cambodia |
67.4 |
18 |
85.4 |
257 |
21.4 |
398.8 |
0.07 |
|
Solomon Islands |
119.34 |
0 |
119.34 |
579 |
48.3 |
247.3 |
0.46 |
|
Kiribati |
140.93 |
2.8 |
143.73 |
509 |
42.4 |
338.9 |
2.32 |
Source: ITU, “Asia Pacific Telecommunication Indicators”, 2002.
Wealth is probably the most important feature of regional differences. In a
league table, the Americas and Europe would appear at the top, followed by
Asia, with Africa at the bottom of the league. Obviously there are wide disparities
of wealth within regions, and these can be identified by looking at 60 selected
countries in Table 2 below. However, there are a number of other factors that
affect internet take-up.
These include:
• The degree to which markets are liberalised. For example, Ethiopia’s
low level of internet users can in part be explained by the fact that its telecom
and internet delivery is entirely state-controlled.
• The slow rate of roll-out in particular countries faced with particular
geographical challenges: for example the GDP per capita in Haiti and Nigeria
is similar but the rate of internet penetration in the former is 0.36% as against
0.09% in Nigeria. Haiti is a relatively small island whereas Nigeria is a big
country.
• Even in countries with policies designed to promote internet use,
the outcomes can be very different. In South Korea there is 52.1% internet
penetration (comparable to US and European levels) whereas in Singapore
it is only 36.3%, even though the latter has a higher GDP per capita. The
difference may partly be explained by differences in political culture.
Table 2. Wealth and Internet users 2001 (60 selected countries), sorted by
region and ranked by Internet penetration.
|
Country |
GDP per
capita (US$) |
Internet
users
(‘000) |
Internet
penetration (%) |
|
|
|
Asia |
2,298 |
156,897.8 |
4.34 |
|
Korea |
10,036 |
24,380.0 |
52.1 |
|
Japan |
37,544 |
55,930.0 |
43.93 |
|
Hong Kong SAR |
24,136 |
2,601.3 |
38.48 |
|
Australia |
19,987 |
7,200.0 |
37.13 |
|
Singapore |
23,137 |
1,500.0 |
36.3 |
|
Taiwan |
13,819 |
7,820.0 |
34.9 |
|
New Zealand |
13,311 |
1,091.9 |
28.57 |
|
Thailand |
2,018 |
3,536.0 |
5.77 |
|
China |
834 |
33,700.0 |
2.56 |
|
Philippines |
977 |
2,000.0 |
2.55 |
|
Kiribati |
509 |
2.0 |
2.32 |
|
Indonesia |
738 |
4,000.0 |
1.91 |
|
Fiji |
1,788 |
15.0 |
1.82 |
|
Samoa |
1,330 |
3.0 |
1.67 |
|
Iran |
5,181 |
1,005.0 |
1.55 |
|
Vietnam |
393 |
1,009.5 |
1.24 |
|
Papua New Guinea |
78 |
50.0 |
0.94 |
|
Sri Lanka |
882 |
150.0 |
0.8 |
|
India |
459 |
7,000.0 |
0.68 |
|
Solomon Islands |
579 |
2.0 |
0.46 |
|
Pakistan |
427 |
500.0 |
0.35 |
|
|
|
Africa |
723 |
6,781.2 |
0.85 |
|
Mauritius |
3,771 |
158.0 |
13.25 |
|
South Africa |
2,542 |
3,068.0 |
7 |
|
Kenya |
338 |
500.0 |
1.59 |
|
Egypt |
1,528 |
600.0 |
0.93 |
|
Tanzania |
271 |
300.0 |
0.83 |
|
Cote d'Ivoire |
563 |
70.0 |
0.43 |
|
Cameroon |
615 |
45.0 |
0.29 |
|
Mali |
236 |
30.0 |
0.26 |
|
Zambia |
312 |
25.0 |
0.23 |
|
Ghana |
209 |
40.5 |
0.19 |
|
Burkina Faso |
200 |
19.0 |
0.16 |
|
Sierra Leone |
152 |
7.0 |
0.14 |
|
Nigeria |
434 |
115.0 |
0.09 |
|
Mozambique |
202 |
15.0 |
0.07 |
|
Ethiopia |
106 |
25.0 |
0.03 |
|
|
|
Americas |
15,323 |
182,942.3 |
21.81 |
|
United States |
35,843 |
142,823.0 |
50.14 |
|
Canada |
23,484 |
13,500.0 |
44.98 |
|
Chile |
4,314 |
3,102.2 |
20.14 |
|
Peru |
2,071 |
3,000.0 |
11.49 |
|
Argentina |
7,418 |
3,300.0 |
9.11 |
|
Venezuala |
5,017 |
1,264.7 |
5.13 |
|
Brazil |
2,922 |
8,000.0 |
4.65 |
|
Bolivia |
963 |
150.0 |
1.81 |
|
Guatemala |
1,757 |
200.0 |
1.71 |
|
Cuba |
1,518 |
120.0 |
1.06 |
|
Haiti |
423 |
30.0 |
0.36 |
|
|
|
Europe |
11,428 |
147,269.2 |
18.4 |
|
Iceland |
26,617 |
195.0 |
67.94 |
|
Norway |
37,116 |
2,700.0 |
59.62 |
|
Denmark |
30,146 |
2,900.0 |
54.03 |
|
Sweden |
23,546 |
4,600.0 |
51.62 |
|
UK |
23,694 |
24,000.0 |
39.95 |
|
Germany |
22,267 |
30,800.0 |
37.36 |
|
France |
21,737 |
15,653.0 |
26.37 |
|
Poland |
4,572 |
3,800.0 |
9.83 |
|
Bulgaria |
1,672 |
605.0 |
7.46 |
|
Latvia |
3,213 |
170.0 |
7.23 |
|
Belarus |
1,223 |
422.2 |
4.11 |
|
Russia |
1,709 |
4,300.0 |
2.93 |
Source: ITU
1 M Rao has devised a scheme for classifying
countries from the viewpoint of the Information Society at http://www.itu.int/osg/spu/
visions/developing/paper1.html

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