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Organized by the United Nations Economic and Social Commission for
Expert Group Meeting on the Role of ICT in Socio – Economic Development
Organized by the United Nations Economic and Social Commission for West Asia (UN-ESCWA), 9 – 10 April 2013, Beirut, Lebanon
ICT Indicators in Sudan: Trends and Impacts on Socio – Economic Development, 1975 - 2009
Dr. Mutasim Ahmed Abdelmawla
Associate Professor, Department of Economics, Faculty of Economics and
Rural Development, Gezira University, Box 20, Medani, Sudan.
[email protected] , [email protected]
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Sequence of the Presentation
Introduction
Some ICT Indicators in the Arab Countries
ICT and Socio – Economic Development in Sudan:
Trends, Correlates and Causality Recommendations
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1. Introduction:
- Information and Communications Technology (ICT) refers to
telecommunications, computers and software, storage, and audio-visual
systems that enable users to access, store, transmit, and manipulate
information.
- The importance of ICT stems from the fact that it saves time, reduces effort
exerted in work, reduces the cost of production, enhances productivity, and
increases income earned.
- Some disadvantages of ICT include:
1. Increasing unemployment rates since technology replaces labour.
2. Diffusion of moral crimes if used unwisely.
3. Reduces social interaction and hence might lead to isolation.
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2. Some ICT Indicators in the Arab Countries (ACs):
2.1 Scientific and Technical Journal Articles Published Per Million People: The
Case of Arab Countries (ACs), 1996-2005
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Source:. Based on Data Collected from the Statistical, Economic and Social Research and Training Centre for Islamic Countries (SESRIC).
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2.2 Lorenz Curve and Gini Coefficient for Scientific and Technical Journal
Articles Published Per Million People: The Case of ACs, 1996-2005
* Gini Coefficient = 0.578
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2.3 Hirsch (H) Index of the Scientific and Technical Journal Articles
Published: The Case of ACs (1996–2005)
The H-index is suggested by Hirsch (2005) to quantify the scientific
productivity of scientists. The index is calculated based on the distribution of
citations received by a given researcher's publications.
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2.4 Lorenz Curve and Gini Coefficient for H-Index of the Scientific and
Technical Journal Articles Published: The Case of ACs (1996–2005)
Source:. Based on Data Collected from the Statistical, Economic and Social Research
and Training Centre for Islamic Countries (SESRIC).
* Gini Coefficient = 0.361
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2.5 Internet Users per 100 People in ACs, (2000-2010)
Internet Users per 100 People in ACs, 2000
8Gini Coefficient = 0.708
Internet Users per 100 People in ACs, 2010
Gini Coefficient = 0.388
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- During the period (2000-2010), inequality in internet users in the ACs was
decreasing at (6%) per annum.
2.6 Internet Users per 100 People in ACs: Average Growth Rate, (%), (2000-2010)
Gini Coefficient = 0.201
3. ICT and Socio – Economic Development in Sudan: Trends, Correlates and
Causality:
3.1 Descriptive Statistics for Some ICT Indicators in Sudan (1975-2011)
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Indicator/ Period Average
Standard
Deviation
(SD)
Coefficient
of Variation
(C.V)
Telephone Lines per 100 People, 1975-2011 0.65 0.66 1.02
Mobile cellular subscriptions per 100 people, 1996-2011 12.82 18.22 1.42
Internet Users per 100 people, 1997-2010 3.86 5.00 1.30
Research and Development Expenditure (% of GDP), 1999-2005 0.39 0.09 0.23
Source: Own Calculations based on Data Collected from the World Bank: WDI, 2012.
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3.2 Telephone Lines per 100 People in Sudan before and after Liberalization
Policies:
Telephone Lines per 100 People in Sudan, 1975-1991 Telephone Lines per 100 People in Sudan, 1992-2011
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3.3 Mobile cellular subscriptions (per 100 people) in Sudan, 1996-2011
* Estimated Trend equation is significant at 0.05 level, estimated trend coefficient
= 0.420, R2 = 0.38 * Ordinary Least Squares (OLS) Period Average Growth Rate = 52.2%
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3.4 Research and Development Expenditure in Sudan (% of GDP), 1999-2005
* Expenditure on Research and Development as % of GDP is declining at a rate
of 10% per annum (using growth rate between two end points).
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3.5 Correlation between Social Globalization (Proxy for ICT) and Socio-
Economic Indicators in Sudan, 1975-2009
* Social Globalization in a component of the overall globalization Index
developed by KOF Swiss Economic Institute. Social globalization includes:
(a) Data on personal contact (Telephone Traffic, Transfers as % of GDP,
International Tourism, Foreign Population as % of total population, and
International letters per capita).
(b) Data on Information Flows (Internet Users per 1000 people, Television per
1000 people, and Trade in Newspapers as % of GDP).
(c) Data on Cultural Proximity (Number of McDonald's Restaurants per capita,
Number of IKEA per capita, and Trade in books as % of GDP).
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3.5.1 Person Correlation between Social Globalization and Educational Attainment:
3.5.2 Person Correlation between Social Globalization and Longevity:
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Period Correlation Coefficient P – Value (2 Tailed)
1975-1991 0.335 0.189
1992-2009 0.860 0.000
1975-2009 0.633 0.000
Period Correlation Coefficient P – Value (2 Tailed)
1975-1991 0.408 0.104
1992-2009 0.946 0.000
1975-2009 0.700 0.000
3.5.3 Person Correlation between Social Globalization and Per Capita GDP
(PPP):
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Period Correlation Coefficient P – Value (2 Tailed)
1975-1991 -0.537 0.016
1992-2009 0.937 0.000
1975-2009 0.812 0.000
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3.5.4 Trends in Longevity, Educational Attainment, Social Globalization and
GDP Per Capita (PPP) in Sudan before and after Liberalization Policies
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Trends in in GDP Per Capita (PPP), 1975-1991 Trends in in GDP Per Capita (PPP), 1992-2009
3.6 Causality between Social Globalization and Socio-Economic Indicators in
Sudan, 1975-2009:
3.6.1 Causality between Social Globalization (SG) and Educational Attainment
(EA):
* N: Number of lags
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EA = F (SG)
N F-Ratio P-Value The Result
1 4.95 0.033 Social Globalization causes Educational Attainment
2 0.662 0.524 Social Globalization does not cause Educational Attainment
SG = F (EA)
N F-Ratio P-Value The Result
1 2.67 0.113 Educational Attainment does not cause Social Globalization
2 2.49 0.101 Educational Attainment causes Social Globalization
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3.6.2 Causality between Social Globalization and Longevity (Proxy for Health
Status, H):
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H = F (SG)
N F-Ratio P-Value The Result
1 7.86 0.008 Social Globalization causes Longevity
2 3.15 0.058 Social Globalization causes Longevity
SG = F (H)
N F-Ratio P-Value The Result
1 2.18 0.150 Longevity does not cause Social Globalization
2 3.04 0.064 Longevity causes Social Globalization
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3.6.3 Causality between Social Globalization and Per Capita GDP (y), (PPP):
y = F (SG)
N F-Ratio P-Value The Result
1 0.077 0.783 Social Globalization does not cause GDP per capita
2 0.354 0.705 Social Globalization does not cause GDP per capita
SG = F (y)
N F-Ratio P-Value The Result
1 4.28 0.047 GDP per capita causes Social Globalization
2 2.02 0.151 GDP per capita does not cause Social Globalization
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4. Recommendations:
- Diffusion of ICT in all parts of the country in an equitable way.
- Wise use of ICT (for educational attainment, health, production purposes,
etc).
- Investing in human capital. Increasing public expenditure on research and
development is highly recommended.
- Encouraging the private sector to support scientific research.
- Investment in ICT production rather than focusing only on the use of ICT.
- Improving infrastructure in general and that related to ICT in particular.
- Technological cooperation with ACs and other regions should be encouraged
and supported.
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Thanks for Your Attention