Measuring internet development in order to achieve better connectivity and resulting socio-economic development goals is a challenge and a necessity to ascertain progress made in terms of ICT sector development and socio-economic growth. Many intergovernmental, governments, non-profit and private organisations have sought to tackle the challenge through setting targets, defining indicators, and applying research methods to measure progress. Nevertheless, ambitious goals and targets relate mostly to the achievement or improvement of physical connectivity to ICT, while as more and more people get connected to the internet, the attainment of users' digital rights including capabilities and liberties will need to be measured as well and will need to be included in policy objectives on ICT development.
Measuring the complexity of the Internet: indexes and indicators
1. Measuring the complexity of the
Internet
Indexes and Indicators
@EnricoCalandro
Senior Researcher @RIAnetwork
#AISKenya - 30 May 2017
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2. Measuring Digital Gaps
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Why is it
important?
To monitor progress
towards meeting policy
objectives of affordable,
and good quality
access to the Internet
To inform evidence-
based regulation
Physical access
Supply-side issues:
Coverage, Price, QoS
Socio-economic
Demographic
factors
Education, gender,
income, age, skills
Capabilities
Political, Information,
Economic, Social,
Cultural
Rights
Privacy, Safety and
security
Freedom of expression
Inclusion/
Exclusion
4. Broadband introduces levels of complexity in policy,
regulation, business models and consumer choice
Broadband issues
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Supply side policies Demand side policies Digital rights
Investment/competition
Affordability of services/
devices
Internet governance
Core/access network
expansion - public/private
Government leadership/role
model - demand stimulation
Privacy/Surveillance
Reduction of infrastructure
costs
Regulation/ICT skills
development
Freedom of expression
Spectrum allocation and
assigment
Online local content, app, e-
gov services
Cybersecurity
Universal access and service
Consumer welfare/user
empowerment
Net neutrality
6. Problems
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‣ Data Gaps
‣ Uneven indicators/Uneven development
‣ Global indicators and indexes -> assumptions
from mature economies and democracies
‣ Access and use trajectories different ->
indicators are meaningless or difficult to gather
‣ Objective: understand/know underlying data
sources
8. OECD’s 40 calls/60 SMSs basket
8
Q42010
Q12011
Q22011
Q32011
Q42011
Q12012
Q22012
Q32012
Q42012
Q12013
Q22013
Q32013
Q42013
Q12014
27
31 33 34 35 34
37 38
41 39 38 40 42
1818,2 18,3 19,3 19,0 18,1 17,6 17,2 16,7 17,1 17,4 17,2 18,0 18,5
8,4
3,5 3,4 2,8 2,4 2,5 2,3 2,3 1,4 1,4 1,4 1,4 1,4 1,2 1,1
Cheapest in Africa in USD Cameroon basket price in USD
Cameroon rank
Ranking and cost of cheapest prepaid mobile product available in Cameroon and
Africa for OECD’s 40 calls/60 SMSs basket
Source: RAMP RIA
Q1 2014 MTN Cameroon and Orange
Cameroon introduced cheaper voice
products to the market, which positively
shifted their ranking on the mobile
voice index.
9. 9
Q42010
Q12011
Q22011
Q32011
Q42011
Q12012
Q22012
Q32012
Q42012
Q12013
Q22013
Q32013
Q42013
Q12014
27
30
32 32
35 36 36
30
33 34 33 33 32
2021,2 21,3 22,4 22,1 21,0 21,5 20,0
16,7 17,0 17,5 17,3 17,6 18,1
11,9
4,1 4,1 4,0 3,7 4,0 4,0 3,9 3,7 3,7 3,6 3,2 3,2 3,2 2,8
Cheapest dominant operator in Africa in USD
Cheapest dominant operator in Cameroon in USD
Cameroon dominant operator rank
Ranking and cost of cheapest prepaid mobile product from dominant operator
available in Cameroon and Africa for OECD’s 40 calls/60 SMSs basket
Source: RAMP RIA
OECD’s 40 calls/60 SMSs basket
10. 10
Kenya
Ghana
Tanzania
Nigeria
Rwanda
South Africa
Uganda
Mozambique
Cameroon
Ethiopia
Botswana
Namibia 25,3
21,5
21,1
21,0
15,8
13,8
13,7
11,9
11,0
6,2
5,8
4,7
BeMobile
Orange Botswana
MTN Cameroon
Tigo Rwanda
MTC
TN Mobile
Etisalat Nigeria
Mascom
MTN Nigeria
Ethio Telecom
Orange Cameroon
Glo Mobile Ghana
Airtel Nigeria
Glo Moblle Nigeria
Airtel Rwanda
Airtel Uganda
Telkom Mobile
Vodacom Mozambique
MTN Uganda
Smile Uganda
Airtel Kenya
Orange Uganda
Cell C
MTN South Africa
Vodacom South Africa
MTN Rwanda
Safaricom
Airtel Ghana
Vodafone Ghana
Smile Nigeria
Airtel Tanzania
Smile Tanzania
Vodacom Tanzania
Orange Kenya
MTN Ghana
Zantel
Tigo Ghana
Cliq (Expresso Telecom)
Yu Kenya 4,7
5,8
5,8
6,2
7,8
8,8
9,4
10,9
11,0
11,0
11,7
11,7
11,7
11,9
13,7
13,7
13,7
13,8
14,1
14,8
14,8
15,8
16,6
17,7
17,9
18,4
18,4
19,4
21,0
21,1
21,4
21,5
24,5
25,3
25,3
26,8
52,5
68,3
85,3
1GB Basket USD
Cheapest prepaid 1GB basket
for Q1 2014 (in USD)
Q1 2014 Price 1GB basket
in USD
Source: RAMP RIA
The monopoly
granted to
Viettel over 3G
infrastructure
and services
does not allow
the two other
operators,
MTN
Cameroon and
Orange
Cameroon, to
provide mobile
broadband
services.
11. 11
Cost of 1GB ADSL baskets at different speeds in USD
Country Operator
1GB up to
1 Mbps
1GB up to 4
Mbps
1GB up to
10 Mbps
1GB above
10 Mbps
Ethiopia Ethio Telecom 14,45 30,25 337,9
Mozambique TDM 21,59 91,1 136,91
Ghana Vodafone 26,89
Namibia
Telecom
Namibia
36,74 64,36 336,69
South Africa Telkom 37,68 37,68 68,53 86,18
Botswana BTC 46,97 61,81 119,63
Cameroon Camtel 62,81 1002,06
Tanzania TTCL 71,74
Kenya Orange 77,04 124,02
12. Very low internet use
12
Internet users in RIA countries, 2012 (%)
Source: RIA ICT access and use survey, 2012
13. Reasons for not using the internet
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Main reason for not having an internet connection
Source: RIA ICT access and use survey, 2012
14. ‣ In 2012, the new player Viettel obtains a monopoly
over 3G infrastructure to allow it to catch up with
its competitors in the broadband market
‣ Vittel failed to deploy the 3G infrastructure and
asked the Presidency for an extension of its
monopoly until 2016.
• The regulated monopoly created a regulatory barrier for the
development of fast and affordable broadband services.
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21. Conclusions
‣ The biggest problems are not defining
indicators . . .
• It is to create good quality indicators
• It is to collect them systematically
• It is to use them as evidence to influence positive policy
outcomes
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