university of nairobi school of computing & informatics ict sector performance review 2009/10...
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University of Nairobi
School of Computing & Informatics
ICT Sector Performance Review 2009/10
Prof. Timothy M. Waema
Research ICT Africa Kenya Team Leader
16 November, 2010
Agenda
1. Research ICT Africa (RIA) and ICT research
2. Access and usage demand survey (2007)
3. ICT sector performance review 2009/10 (supply-side)
4. Regulatory environment perception survey
5. Research challenges
6. Challenges & policy recommendations
1. RIA and ICT research RIA Network is one of the research networks
originally started with funds from IDRC Network has grown from 2004 and now consists
of 18 African countries Purpose of RIA research is:
to create a rich evidence base of the ICT sector developments in selected African countries to enable comparison of policy outcomes in different countries against national strategies and sector performance influence ICT policy
Kenya team consists of 1. Prof. Timothy M. Waema 4. Prof. Meoli Kashorda 2. Ms Margaret Nyambura 5. Dr. Monica Kerrets- 3. Dr. Catherine Adeya Makau
2. Access and usage demand survey
Methodology Use of NASSEP IV sampling frame KNBS Sample 1461 HHs
Major urban – 584 (40%) Other urban – 439 (30%) Rural - 438 (30%)
HH selection Uniform sample of 24 HHs in each cluster 1st HH randomly selected in each cluster Next HH systematically determined (last HH + interval) Provision for replacements for vacant, demolished or
households whose occupants were not available after a maximum of three call-backs
Respondents selection Head of HH or next most senior member of HH
Data collection using PDA & analysis by SPSS
Key findings
HHs with computer & Internet
E-mail presence
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
K enya S outhA fric a
R wanda Uganda E thiopia Tanz ania
major urban
Other urban
R ural
Reasons for not using Internet
0
10
20
30
40
50
60
70
80
90
lac k of loc allanguagec ontent
I do notknow muc h
about how tous e the
Internet
there is nointeres tingc ontent for
me
c os t ofac c es s
the Internetis very s low
I do notalways haveac c es s to a
c omputerwith Internetc onnec tion
lac k of time other
Internet tariffs – 20 hrs/month
050
100150200250300350400450
Total Internet pric e(US $)
Total Internet pric e perc apita
Monthly Internet expenditure
51.32
41.0333.68
23.96 18.80 12.40 12.120.00
10.0020.0030.0040.0050.0060.00
3. ICT sector performance review 2009/10
Methodology Review of documents, e.g. CCK
publications Review of websites of operators, CCK,
etc. Telephone interviews with selected
persons
Key findings
Summary of telephony services Fixed telephone services
Connections been declining since end of monopoly
Slight growth in 2009 due revitalisation of Telkom Kenya following its privatization in 2007
Phenomenal growth of mobile services eaten into this market
Fixed wireless telephone services Not been growing much Expected to grow with migration to the
Unified Licensing Framework
Mobile telephone services Phenomenal growth (51.2% penetration by
June 2010) Growth can be attributed to:
the competitive effects resulting from the increased number of mobile operators
increased mobile coverage aggressive marketing through increased offers and
promotions, esp. availability of low denomination calling cards
increased affordability of handsets Increased infrastructure sharing among the
mobile phone operators Safaricom shares towers with Zain and Orange
through reciprocal arrangements Essar Telecom Kenya (Yu) also shares Zain’s
towers and base stations
Interconnection rates fixed to mobile phones (USD) (2009/10)
Mobile termination rates in US cents (Sep 2010)
2.140000105
2.730000019
3.49000001
5.610000134
5.820000172
5.900000095
7
7.019999981
7.489999771
7.53000021
8.069999695
8.489999771
8.649999619
9.430000305
11.64999962
11.69999981
16
0 5 10 15 20
Senegal
Ghana
Tunisia
Rwanda
Tanzania
Uganda
Botswana
South Africa
Cameroon
Internet users Have been growing slowly, with phenomenal
growth 2009/2010 2.90m June 2008 3.65m June 2009 (9.5% penetration) 7.83m June 2010 (20% penetration)
Growth in 2009/2010 largely due to: entry of mobile operators aggressive rollout of data services by mobile
operators, esp. Safaricom increased access to social networking sites through
mobile phones that has become popular among the youth in the country
Internet penetration figures of other countries: 33.4% Mo 28.9% Nig 20% Ke 10.8% SA 9.6% Ug 5.3% Gh 4.1% Rw 1.6% Tz 0.5% Et
Commercial broadband bandwidth cost (Feb 2010)
Guaranteed bandwidth (Kbps)
CCK Avg Sep 2009
Op 1 Feb 2010
New as % of old tariff
Op 2 Feb 2010
New as % of old tariff
256 38,625 12,500 32.4 12,000 31.1
512 72,276 23,000 31.8 24,000 33.2
1024 282,102
<$3,500
48,000
$600
17.0 48,000
$600
17.0
Note: Retail prices have been slow in coming down!!
4. Regulatory environment perception survey
23
Background What?
A perception survey of the Telecom Regulatory Environment (TRE) in Kenya from 57 industry experts from 3 balanced sectors: Operators, consultants, CSO/public sector/researchers
When? Jul-Aug 2009 (before i/connection determination #2)
Why? Gather perceptions of the telecom regulatory and
policy environment in the country Gauge the strengths and weaknesses of the
environment Use the results to influence changes in the ICT policy
and regulatory environment in Kenya Benchmark with other African countries Results ca be used as a tool for investors to assess
regulatory risk in a country
24
Data collection Assessment of three sectors:
Fixed services, Mobile services, ISP/VAS services
For each of the 3 sectors, assessment of 7 dimensions:
1. Market entry
2. Allocation of scarce resources
3. Interconnection
4. Regulation of anti-competitive practices
5. Universal service obligation
6. Tariff regulation
7. Quality of Service
For each dimension, rating the quality of the regulatory environment on a scale
1 = highly ineffective to 5 = highly effective
Key findings
Mobile services
VANS/ISP services
Regulation of interconnectionRegulation of Interconnection
-2 -1 0 1 2
Mozambique
Tanzania
Cameroon
Senegal
Namibia
Kenya
South Africa
Regulation of anti-competitive practices
Regulation of anti-competitive practices
-2 -1 0 1 2
Botswana
Tanzania
Tunisia
Kenya
Uganda
Benin
South Africa
Quality of servicesQuality of Services
-2 -1 0 1 2
Ivory Coast
Tanzania
Cameroon
Senegal
Uganda
Kenya
South Africa
Average satisfaction rate
5. Research challenges Difficult to obtain some of the data, esp.
Financial data - investment and revenue Most sector-oriented data not available Limited information in operators websites
Some don’t publish the tariffs on the web Email contacts don’t work - except customer service
email whose directed queries were rarely answered Offers and promotions that made it challenging
to establish the actual tariffs CCK information often differed from the
operator data While respondents promised to respond to the
online regulatory review, most did not
6. Challenges & policy recommendations
Challenge Policy recommendation Timing
1. National ICT policy not in tune with current realities
Update the existing ICT policy through stakeholder participation
June 2011
2. Regulations not supported by key stakeholders
Review regulations with support of key stakeholders
March 2011
3. High retail cost of broadband
Institute a regulatory mechanism(s) to bring down retail broadband tariffs
March 2011
Challenge Policy recommendation
Timing
4. ICT is not real sectors, e.g. cannot obtain aggregated socio-economic data on ICT employment, GDP contrib., products, etc.)
MoIC and KNBS to engage in a process that will create a single ICT/ITES sector and mainstream it into the national planning and operational frameworks (e.g. KNBS can collect data on ICT/ITES as a sector like all sectors)
Dec 2011
Challenge Policy recommendation
Timing
5. No institution has explicit mandate over ICT sector data
Give legal mandate over ICT data to one of the existing institutions
June 2011
6. ICT sector data is not accurate & up-to-date
Body to regularly collect and provide accurate data on ICT sector, collaborating with KNBS
Conti-nuous
7. Independence and power of the regulator
Strengthen CCK to be a more independent & powerful converged regulator
?