Showing posts with label Africa. Show all posts
Showing posts with label Africa. Show all posts

1.4.18

Africa: Reliable Electricity and the Digital Economy

Many countries in Sub-Saharan Africa seek to diversify their economies with information and communications technologies (ICT), including expanding ICT as a sector and increasing its use in enterprises. One of the core ICT infrastructure elements is data centers. These facilities are a vital engine of the digital economy, storing data, hosting websites, and enabling cloud-based applications. Data centers are virtual data factories that make productive use of electricity, with measurable economic impact on gross domestic product, employment, and government tax revenue (Dutch Datacenter Association 2017). 
Data centers consume lots of electricity to power computer equipment and keep it cool. In 2011, Google reported that it used 260 megawatts of electric power for its data centers (Glanz 2011), which is greater than the 2014 installed capacity in 19 Sub-Saharan African countries (Trimble et al. 2016). Data centers require high levels of reliability to ensure a seamless, nonstop flow of data. Reliability is defined by industry standards, ranging from 99.67 percent availability with no more than 29 hours of interruption per year for tier 1 data centers, to 99.995 percent reliability with just 0.8 hour of interruption per year for the highest tier 4 centers. Most Sub-Saharan African nations would find it difficult to meet even tier 1 reliability. The standards also call for a guaranteed source of electrical backup that can power the center for at least half a day (Uptime Institute 2012). 
Lack of enterprise-grade reliability requirements for industry certification generally rules out the feasibility of large data centers in many Sub-Saharan African countries. Although virtually every country in the region has a data center, the centers are small, serving a narrow set of business and government users. Due to the region’s challenging environment for reliable and inexpensive electricity, most businesses host their data outside the region. This results in a large volume of data transmitted to overseas data centers, requiring significant amounts of international Internet bandwidth. Along with connectivity and storage costs, it takes a longer time to access overseas data centers, raising latency. Security is an issue, as increasing amounts of government, business, and personal information are transmitted abroad, with vague data protection. 
To build up its national data center industry and improve latency, Rwanda launched an initiative to repatriate 1,000 websites hosted abroad (RICTA 2015). An analysis of the program found that quality was improved for domestic users due to faster access to the sites (Internet Society 2017). Visitor engagement was high, with more page views and return visits due to the enhanced performance. The skills of web-hosting employees increased, due to technical requirements to manage additional websites. Although latency improved, it is still difficult to convince local businesses to place their websites in Rwanda, due to the lower price of hosting overseas. This is primarily because of the high cost of electricity for data centers in Rwanda. The government is contemplating subsidizing the cost of electricity for local data centers, to make local hosting more attractive, improve latency, and strengthen data sovereignty (Minges 2017). 
Despite concerns about reliability, there is growing interest in installing large data centers in the region to achieve better latency and reduce the cost of international bandwidth. In 2017, Microsoft, one of the world’s largest owners of data centers, announced it would build two data centers in South Africa, to support its cloud-based services. Notably, South Africa’s electricity supply is considered the second most reliable in the region after Mauritius (Afrobarometer 2016). The new data centers will have faster speeds compared with accessing cloud services in Europe or the United States; international connectivity costs will be reduced; and trust will be increased, as the centers will have to comply with South Africa’s data protection law (Marston 2017). Electricity reliability is critical for other countries in the region that want to develop their digital economies. 
Dutch DataCenter Association. 2017. The Economic Impact of Multi-Tenant Data Centers In the Netherlandshttps://www.vijfhart.nl/wp-content/uploads/2017/02/report_-_2017_-_economic_impact_dutch_data_centers.pdf
James Glanz. 2011. "Google Details, and Defends, Its Use of Electricity." The New York Times, 8 September. http://www.nytimes.com/2011/09/09/technology/google-details-and-defends-its-use-of-electricity.html
Trimble, Christopher Philip; Kojima, Masami; Perez Arroyo, Ines; Mohammadzadeh, Farah. 2016. Financial viability of electricity sectors in Sub-Saharan Africa: quasi-fiscal deficits and hidden costs. Policy Research Working Paper 7788. Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/182071470748085038/Financial-viability-of-electricity-sectors-in-Sub-Saharan-Africa-quasi-fiscal-deficits-and-hidden-costs
 Uptime Institute. 2012. Data Center Site Infrastructure Tier Standard: Topologyhttp://www.gpxglobal.net/wp-content/uploads/2012/10/TIERSTANDARD_Topology_120801.pdf
RICTA. 2015. "Growing The Rwandan Internet Content Hosted In Rwanda (1k Websites)." http://ricta.org.rw/IMG/pdf/1kwebsites_project_finalversion.pdf
Internet Society. 2017. The Benefits of Local Content Hosting: A Case Studyhttps://www.internetsociety.org/sites/default/files/ISOC_LocalContentRwanda_report_20170505_final.pdf
Michael Minges. 2017. Leveraging Investments in Broadband for National Development: The case of Rwanda and Senegal. New York: UN-OHRLLS. https://unohrlls.org/custom-content/uploads/2017/07/Leveraging-Investments-in-Broadband-for-National-Development-2017.pdf
Afrobarometer. 2016. Off-grid or ‘off-on’: Lack of access, unreliable electricity supply still plague majority of Africanshttp://afrobarometer.org/sites/default/files/publications/Dispatches/ab_r6_dispatchno75_electricity_in_africa_eng1.pdf
Robert Marston. 2017. "Microsoft’s data centre investment to boost SA cloud adoption." IT News Africa, 12 July. http://www.itnewsafrica.com/2017/07/microsofts-data-centre-investment-to-boost-sa-cloud-adoption/

Published in: World Bank Group. 2018. Africa's Pulse, No. 17, April 2018. Washington, DC: World Bank.  https://www.openknowledge.worldbank.org/handle/10986/29667

20.9.17

Leapfrogging : The Key to Africa's Development?

The potential for accelerated,
sustained, and inclusive growth often have
been driven by innovation and widespread technology
adoption. Accelerated growth can be achieved by leapfrogging, i.e., a large boost in infrastructure development. ICT, specifically mobile technologies, is one area where the region has leapfrogged. Although fixed telephone networks have been around since the early 1900s, access was always limited in Sub-Saharan Africa, at less than 2 percent of the population. Once the first mobile networks launched in Sub-Saharan Africa in 1989, they grew rapidly. The gap between Sub-Saharan Africa and the rest of the world dropped from 99 percent in 1989 to 23 percent by 2015. This report has a chapter on ICT with more detailed examples of leapfrogging as well as recommendations for how to create an enabling environment for encouraging leapfrogging.
https://openknowledge.worldbank.org/handle/10986/28440

1.7.17

Leveraging Investments in Broadband for National Development: The case of Rwanda and Senegal

In order to have in-depth understanding on the level of investment in broadband and its application, UN-OHRLLS commissioned two studies in Africa: Rwanda and Senegal. The case studies document how the selected LDCs are leveraging investment in broadband to contribute towards the achievement of sustainable development.
The selection of Rwanda and Senegal as study areas was determined by the following: evidence of an upward trend in broadband penetration; clear strategies and concrete implementation; and, examples of outcomes because of investing in broadband. The selection criteria also took into consideration geographical coverage with Rwanda an East African landlocked nation and Senegal a sea facing West African country.
https://unohrlls.org/custom-content/uploads/2017/07/Leveraging-Investments-in-Broadband-for-National-Development-2017.pdf
See presentation at: http://unohrlls.org/custom-content/uploads/2017/03/LDC-BB-1Mar2017-Reduced-1.pdf

11.12.15

SMS in Sub-Saharan Africa 2014

While SMS is declining in most developed markets due to competition from Internet-based messaging applications, the picture is more nuanced in Sub-Saharan Africa. In some countries, growth has been explosive, in others it has been flat and in a few, usage is declining. Tanzania is the region's SMS superstar with the highest volume of SMS (34 billion sent) and the highest number of text messages sent per subscriber per month (96) in 2014. 92% of Tanzanian cellphone owners use SMS, the 2nd highest proportion in the region among countries for which such statistics are available. Growth has also been solid in Kenya. It is interesting that texting growth continues given that newer subscribers tend to be more marginal and not intensive SMS users. SMS has been in decline in two of the region's more sophisticated mobile markets, Mauritius and South Africa, no doubt due to rising smartphone penetration and alternative messaging applications.  In some countries, the SMS market is stagnant. Nigeria is a good example where despite regulatory interventions by the Nigerian Communications Commission (NCC) to lower SMS prices, the market is flat with barely over 1 billion texts sent in 2013. NCC reduced the SMS termination rate to N1.02 (0.64US¢) in 2009 and established an off-net price cap of N4 (2.5 US¢) in 2013. It seems to have had little impact where on average a mobile subscriber sends just 1 text per month even though Nigeria has relatively low retail prices and 80% of mobile users claim to text. Substitutes for texting are likely prevalent in Nigeria; according to Facebook there were 12 million Nigerians using their mobile phone to access the social network in December 2015, the largest market in the region. 

In general, prices would seem to stimulate usage. In Kenya it costs just 1.1 US¢ to send a text for those not on a plan. In Tanzania, an SMS data plan gives 10 texts a day for 9.1 US¢. Familiarity with other popular text-type applications may make users comfortable with SMS. This appears to be the case in Kenya and Tanzania where there is high mobile money use. 

Click to enlarge
Some 130 billion SMS were sent by Sub-Saharan African mobile subscribers in 2014, generating estimated revenues of US$ 1.7 billion for the region's mobile operators.

The universality of SMS—it works on the most basic phone—makes it an attractive platform for social and economic development interventions. Take health where ta number of SMS-based applications have been developed in the region. Examples include:
  • In Kenya, weekly text SMS were sent to AIDS patients to remind them to take their antiretroviral drugs. Those who received the text messages had significantly higher rates of taking the drugs than those who did not receive them. *
  • In the Zambia, the free U-Report SMS service targeting youth offers information on HIV/AIDS and STDs (left). It had some 41,000 users by February 2014. Some two thirds have contacted counsellors through SMS, generating an average of four requests per user. On average, each of the three counsellors fields 80 SMS requests every day.**
  • In Senegal, mobile subscribers can send an SMS to a special number to receive a message listing open pharmacies in the vicinity.  ***
* Lester et al. 2010. “Effects of a Mobile Phone Short
Message Service on Antiretroviral Treatment Adherence in
Kenya (WelTel Kenya1): A Randomised Trial.” The Lancet. http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(10)61997-6/abstract
** UNICEF. 2014. Zambia U-report, Revolutionizing HIV Response among Adolescents and Young People through SMShttp://newsletter.childrenandaids.org/zambia-u-report-revolutionizing-hiv-response-among-adolescents-and-young-people-through-sms/
*** Sen Santé Pharmacie, une solution innovante d’accès aux pharmacies de garde par SMShttp://healthcare.orange.com/a-la-une/a-la-une/2014/Sen-Sante-Pharmacie-une-solution-innovante-d-acces-aux-pharmacies-de-garde-par-SMS

Also see: SMS texting is helping solve Africa’s health infrastructure problem, http://qz.com/502706/sms-texting-is-helping-solve-africas-health-infrastructure-problem/
Pew, Cell Phones in Africa: Communications Lifelinehttp://www.pewglobal.org/2015/04/15/cell-phones-in-africa-communication-lifeline/

14.11.15

Cellphones rapidly shrinking digital divide in Africa

The growing availability of household surveys and census data in Africa is uncovering the true nature of phone access across the continent. This demand side data offers a more realistic snapshot than the subscription-based data that is typically used to highlight cellphone access. Drawing on the survey data, it emerges that seven in ten Sub-Saharan African households had a mobile phone in 2014. This is a massive increase from a decade earlier when only around one in five homes had a cellphone.


A number of African countries even have a higher level of mobile household penetration than North America where rates were 85 and 89 in Canada and the United States in 2013.  In many more African nations, over 90% of urban households have a telephone suggesting that the barriers to connecting the remaining households are more about lack of electricity and cellphone coverage rather than affordability.

Sub-Saharan Africa, Households with mobile phone (%), 2014 or latest

Latest

Year

South Africa

96

2014

Morocco

94

2014

Senegal

94

2014

Tunisia

93

2012

Mauritius

92

2014

Gabon

92

2012

Gambia

91

2013

Algeria

91

2012

Egypt

90

2014

Cape Verde

89

2014

Namibia

89

2013

Botswana

87

2013

Burkina Faso

86

2014

Ghana

85

2014

Congo

82

2012

Côte d'Ivoire

81

2012

Mauritania

77

2013

Nigeria

75

2013

Mali

74

2013

Togo

74

2014

Comoros

73

2012

Benin

72

2012

Uganda

68

2014

Cameroon

67

2011

Equatorial Guinea

67

2011

Zambia

66

2014

Chad

66

2013

Guinea

65

2012

Liberia

65

2013

Zimbabwe

62

2011

Tanzania

61

2012

Djibouti

60

2012

Rwanda

56

2013

Sierra Leone

55

2013

Angola

52

2011

Niger

50

2012

Malawi

49

2014

Congo, D.R.

39

2014

Mozambique

34

2011

Burundi

32

2012

Madagascar

25

2013

Ethiopia

25

2011

Source: ictDATA.org adapted from national household surveys.