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Asia, which is home to around three-fifths of the world citizens,<br />

has only around 70 per cent of the level of e-government in<br />

Europe while the level of services in Africa barely squares off at<br />

40 per cent of those in Europe. Within any region, countries at the<br />

lower percentile of e-development do not fare well either. This is<br />

especially true of the lower income countries in both Asia and<br />

Africa. The 10 least e-ready countries in Asia have barely 37 per<br />

cent of the level of e-government in Europe while in Africa the<br />

figure is little more than 20 per cent [6]. Figure 1 below shows<br />

global trends over the last decade in regional progress towards egovernment.<br />

Figure 1: Advances in regional e-government development<br />

(Source: UN E-Government Survey, 2012)<br />

However, this scenario is not entirely hopeless. Within the last<br />

decade in particular, many developing countries especially in<br />

Africa and Asia, have increased their web presence, clearly<br />

utilizing the opportunity to leapfrog the development cycle<br />

through innovative adoption and deployment of ICTs. In Eastern<br />

Africa, for example, mobile money transfer has taken strong roots<br />

in Kenya and Uganda, and rapidly spreading across the continent<br />

[1]. The effects of these technologies on socio-economic<br />

development, gender empowerment, increased schooling rates and<br />

rising income levels have been the subject of many recent<br />

economic literature.<br />

In view of the important role that ICTs play in bridging the digital<br />

divide between countries and regions of the world, can the<br />

deployment of ICTs also bridge the digital divide within countries<br />

to the same extent thereby reducing economic disparities within<br />

the country? This paper addresses this question by examining the<br />

case of Nigeria, a West African nation, which aspires to become a<br />

top 20 economy by 2020. The telecommunications industry<br />

remains the fastest-growing sector in the country, recording<br />

34.38% growth in 2010 and 34.76% in 2011, rapidly transforming<br />

the business, economic and governance landscape across the<br />

country. The rest of the paper is structured as follows: in section<br />

2, a brief review of the methodology employed is presented, while<br />

section 3 discusses the country experiences of India and South<br />

Africa as case studies. In section 4, the Nigerian case is explored<br />

more in-depth with respect to ICT access and the nature of<br />

economic disparities in the country. Section 5 highlights some<br />

opportunities for e-governance to reduce the disparities, while key<br />

challenges to realizing this are presented in section 6. Section 7<br />

concludes the paper.<br />

185<br />

2. METHODOLOGY<br />

A review of two country cases studies – India and South Africa –<br />

is undertaken to examine what the experience of countries with<br />

similar large populations and economic conditions have been with<br />

respect to bridging the digital divide. This is supported by<br />

examining the latest available official data on ICT use and poverty<br />

distribution at sub-national level for the country to determine<br />

whether a relationship exists between access to ICTs and<br />

economic development. For this purpose, access to ICTs is<br />

measured by the percentage of persons who own or have access to<br />

personal computers, mobile phones and internet access.<br />

Economic development, on the other hand, is indicated by the<br />

relative poverty (percentage) rate. Given the strong correlation<br />

between access to internet, and access to personal computers<br />

(estimated at 0.83, or 83%), and the fact that the data series for the<br />

latter is more complete than the former “access to personal<br />

computers” is selected as the better indicator of ICT access, and<br />

hence the measure of the digital divide in Nigeria.<br />

Data is obtained from Nigeria’s National Bureau of Statistics<br />

(NBS) General Household Survey (2010/11) which produced data<br />

on ICT use in Nigeria, as well as the Harmonised Nigeria Living<br />

Standard Survey (2009/10) which produced data on relative<br />

poverty.<br />

3. COMPARATIVE COUNTRY CASE<br />

STUDIES<br />

In this section, we discuss the cases of India and South Africa:<br />

two countries that have undertaken considerable efforts to bridge<br />

the digital divide among sub-national entities and regions in their<br />

domains. India’s global leadership in the IT industry is wellacknowledged<br />

1 . The second most populous nation in the world,<br />

India ranked 125 th on the UN E-Government Development Index<br />

(EGDI) in 2012. India is one of the countries where<br />

telecommunication development activities have gained<br />

momentum in the past decade. Efforts have been made from both<br />

governmental and non-governmental platforms to enhance<br />

telecommunication infrastructure, provide modern technologies to<br />

serve all segments of India’s culturally-diverse society, and to<br />

transform the country into a IT powerhouse. However, the digital<br />

divide still remains significant between rural and urban India [7],<br />

[8]. While the major cities are even at par with some developed<br />

countries, rural areas in states like Eastern Bihar and Orissa are<br />

worse off than several least-developed countries. With respect to<br />

teledensity 2 for example, according to the Telecom Regulatory<br />

Authority of India (TRAI) while States like Delhi and Chennai<br />

have more phones than people (with >100% teledensity rate) the<br />

teledensity in States like Chhattisgarh and Jharkhand are as low as<br />

4.18% and 3.49% respectively. India has around half a million<br />

software developers and is second only to the US, but 300,000<br />

Indian villages do not have a phone connection, 26 per cent of the<br />

population lies below the poverty line and 35 per cent illiterate.<br />

There are only 5 PCs per 1000 people, 9 mobile lines per 1000<br />

and 37 fixed lines per 1000 people in India, which is extremely<br />

low when compared to China.<br />

1 This section relies on [4]<br />

2<br />

Number of landline telephones in use per 100 individuals living<br />

in an area.

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