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INFORMATION ECONOMY REPORT
2010
ICTs, Enterprises and Poverty Alleviation
Presentation in
[VENUE], 14 October 2010
David Souter
UNCTAD Consultant
EMBARGOEMBARGO
The contents the Report must not be quoted or summarized in the print,
broadcast or electronic media before 14 October 2010 17:00 GMT.
Reducing poverty a major challenge
• 1.4 billion people live on
less than $1.25 per day
• Most poor are in Asia
• Sub-saharan Africa has
highest poverty rates
• MDG1: Eradicate
extreme poverty and
hunger
• 17/10: International Day
for the Eradication of
Poverty
Distribution of poverty, 2005
People living on less than $1.25 (PPP) a day (millions)
Source: UNCTAD, based on data from PovcalNet of the World
Bank.
Technology should be better leveraged
in meeting the MDGs
New technology-based solutions that did not
exist when the Goals were endorsed can and
should be leveraged to allow for rapid scaling
up. The most important of these technologies
involve use of mobile telephones, broadband
Internet, and other information and
communications technologies.
”
“
Source: Report of the Secretary-General, 12 February 2010, A/64/665.
Informational dimension of poverty
• Poor people often lack access to vital information,
for example about:
– market price information
– income-earning opportunities
– weather forecasts
– what pesticides and fertilizers to use
– health
– disaster risk reduction
• Lack of information greater vulnerability
Focus of the IER 2010
• Trends in affordable access to different ICTs
• Direct use of ICTs in enterprises
– Different industries
– Subsistence-based and growth-oriented enterprises
– Value chain stages
• Direct involvement of the poor in the ICT
producing sector
– as workers or entrepreneurs
– ICT manufacturing
– ICT and IT-enabled services
– Large/medium vs. small/micro enterprises
Mobile revolution is reaching the LDCs
bringing interactive connectivity for the first time
Source: ITU World Telecommunication/ICT Indicators database.
Penetration of selected ICTs in Least Developed Countries, 2000-2009
(per 100 inhabitants)
Some unfinished business remains
Half of rural population in LDCs lack access to mobile signal
Source: ITU.
New applications and services emerging
• Voice-based services
– helplines, agro-messages
• SMS services
– Election monitoring (Ghana)
– Earthquake relief (Haiti)
• Mobile money services
– E.g. M-PESA, M-Paisa, Wizzit, GCash
• Mobile micro insurance (Kilimo Salama, Kenya)
• Rural health applications
More mobiles than bank accounts in
LDCs
Source: Data from ITU and CGAP.
Mobile subscriptions and bank accounts per 100 inhabitants, selected LDCs, 2009
Affordability is key
South Asian model attractive to low-income mobile users
Source: Idea, MTN, Orascom, Portugal Telecom and Zain operating reports.
Average revenue per mobile user, selected LDCs and India, 2009
(U.S. dollars)
Attractive features for low-
income users:
- Long period for inactivity
- Per-second charging
- Nationwide tariffs
- Low denomination
recharge
- “Friends and family”
Exploit the diversity of ICTs
• ICTs
– Mobile telephony
– Fixed telephony
– Personal computers
– Internet
– Broadband
– Radio
• Different features
– Costs
– Skills requirements
– Power needs
– Functionality
– Access
Each technology has its pros and cons to meet
different user needs
Opportunities for combined solutions
ICTs in enterprises can help the poor
Preliminary evidence across sectors and countries
• Cases cited in report
– Dairy farmers in Bhutan
– Grain traders in Niger
– Fishermen in India and
Ghana
– Women weavers in Nigeria
– M-Paisa in Afghanistan
– Micro-enterprises in Mumbai
– Handicraft in Viet Nam
– And more…
• Most important effects
– Reduced information search
and transactions costs
– Improved communications
within supply chains with
benefits for individual
enterprises and improvements
in overall market efficiency
• Preference for mobiles
– Affordable access
– Easy to use
– Two-way communication
– Serve basic needs
The poor and the ICT producing sector
Some find new livelihoods in changing ICT landscape
• Cases cited in report
– Sellers of airtime in
Bangladesh, Ghana, Uganda
– SIM card sales in the Gambia
– Mobile entrepreneurs in
Venezuela
– ICT micro-enterprises in
urban slum in Mumbai
– ICT manufacturing in China
– Social outsourcing in India
– And more…
• Key findings
– Micro-enterprises have large
involvement of poor; exposed to
risk and volatility
– ICT manufacturing
concentrated; but significant
effects in China
– High skill requirements a barrier
in case of outsourcing, but
second-order effects
– “Social outsourcing˝ new
development tool?
– More attention needed to e-
waste problem
Ecosystem for policies to reduce poverty
via ICTs and Enterprises
Source: UNCTAD and Emdon.
The Policy Challenge
How to bring more benefits to the poor from ICTs in enterprises
1. Expand mobile coverage in places with no mobile signal
2. Make services affordable – learn from South Asia
3. Focus more on ICT adoption at low levels of economic
activity and sophistication, incl. for subsistence enterprises
4. Make interventions more demand-driven – needs of
enterprises differ by size, industry, location and skills
5. Assign greater role to mobile solutions in policy
interventions
6. Work in partnership with development partners, private
sector and civil society
7. Feature ICTs in poverty reduction strategies and UN
Development Assistance Frameworks (UNDAFs)
The policy challenge is to take full advantage of
the significant improvements in connectivity in
ways that bring benefits to the poor. This task is far
from complete.
”
“
Source: IER 2010 Preface
Thank you!
The Information Economy Report 2010
can be downloaded free of charge at
www.unctad.org.

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IER report 2010 presented by Prof. Souter

  • 1. INFORMATION ECONOMY REPORT 2010 ICTs, Enterprises and Poverty Alleviation Presentation in [VENUE], 14 October 2010 David Souter UNCTAD Consultant EMBARGOEMBARGO The contents the Report must not be quoted or summarized in the print, broadcast or electronic media before 14 October 2010 17:00 GMT.
  • 2. Reducing poverty a major challenge • 1.4 billion people live on less than $1.25 per day • Most poor are in Asia • Sub-saharan Africa has highest poverty rates • MDG1: Eradicate extreme poverty and hunger • 17/10: International Day for the Eradication of Poverty Distribution of poverty, 2005 People living on less than $1.25 (PPP) a day (millions) Source: UNCTAD, based on data from PovcalNet of the World Bank.
  • 3. Technology should be better leveraged in meeting the MDGs New technology-based solutions that did not exist when the Goals were endorsed can and should be leveraged to allow for rapid scaling up. The most important of these technologies involve use of mobile telephones, broadband Internet, and other information and communications technologies. ” “ Source: Report of the Secretary-General, 12 February 2010, A/64/665.
  • 4. Informational dimension of poverty • Poor people often lack access to vital information, for example about: – market price information – income-earning opportunities – weather forecasts – what pesticides and fertilizers to use – health – disaster risk reduction • Lack of information greater vulnerability
  • 5. Focus of the IER 2010 • Trends in affordable access to different ICTs • Direct use of ICTs in enterprises – Different industries – Subsistence-based and growth-oriented enterprises – Value chain stages • Direct involvement of the poor in the ICT producing sector – as workers or entrepreneurs – ICT manufacturing – ICT and IT-enabled services – Large/medium vs. small/micro enterprises
  • 6. Mobile revolution is reaching the LDCs bringing interactive connectivity for the first time Source: ITU World Telecommunication/ICT Indicators database. Penetration of selected ICTs in Least Developed Countries, 2000-2009 (per 100 inhabitants)
  • 7. Some unfinished business remains Half of rural population in LDCs lack access to mobile signal Source: ITU.
  • 8. New applications and services emerging • Voice-based services – helplines, agro-messages • SMS services – Election monitoring (Ghana) – Earthquake relief (Haiti) • Mobile money services – E.g. M-PESA, M-Paisa, Wizzit, GCash • Mobile micro insurance (Kilimo Salama, Kenya) • Rural health applications
  • 9. More mobiles than bank accounts in LDCs Source: Data from ITU and CGAP. Mobile subscriptions and bank accounts per 100 inhabitants, selected LDCs, 2009
  • 10. Affordability is key South Asian model attractive to low-income mobile users Source: Idea, MTN, Orascom, Portugal Telecom and Zain operating reports. Average revenue per mobile user, selected LDCs and India, 2009 (U.S. dollars) Attractive features for low- income users: - Long period for inactivity - Per-second charging - Nationwide tariffs - Low denomination recharge - “Friends and family”
  • 11. Exploit the diversity of ICTs • ICTs – Mobile telephony – Fixed telephony – Personal computers – Internet – Broadband – Radio • Different features – Costs – Skills requirements – Power needs – Functionality – Access Each technology has its pros and cons to meet different user needs Opportunities for combined solutions
  • 12. ICTs in enterprises can help the poor Preliminary evidence across sectors and countries • Cases cited in report – Dairy farmers in Bhutan – Grain traders in Niger – Fishermen in India and Ghana – Women weavers in Nigeria – M-Paisa in Afghanistan – Micro-enterprises in Mumbai – Handicraft in Viet Nam – And more… • Most important effects – Reduced information search and transactions costs – Improved communications within supply chains with benefits for individual enterprises and improvements in overall market efficiency • Preference for mobiles – Affordable access – Easy to use – Two-way communication – Serve basic needs
  • 13. The poor and the ICT producing sector Some find new livelihoods in changing ICT landscape • Cases cited in report – Sellers of airtime in Bangladesh, Ghana, Uganda – SIM card sales in the Gambia – Mobile entrepreneurs in Venezuela – ICT micro-enterprises in urban slum in Mumbai – ICT manufacturing in China – Social outsourcing in India – And more… • Key findings – Micro-enterprises have large involvement of poor; exposed to risk and volatility – ICT manufacturing concentrated; but significant effects in China – High skill requirements a barrier in case of outsourcing, but second-order effects – “Social outsourcing˝ new development tool? – More attention needed to e- waste problem
  • 14. Ecosystem for policies to reduce poverty via ICTs and Enterprises Source: UNCTAD and Emdon.
  • 15. The Policy Challenge How to bring more benefits to the poor from ICTs in enterprises 1. Expand mobile coverage in places with no mobile signal 2. Make services affordable – learn from South Asia 3. Focus more on ICT adoption at low levels of economic activity and sophistication, incl. for subsistence enterprises 4. Make interventions more demand-driven – needs of enterprises differ by size, industry, location and skills 5. Assign greater role to mobile solutions in policy interventions 6. Work in partnership with development partners, private sector and civil society 7. Feature ICTs in poverty reduction strategies and UN Development Assistance Frameworks (UNDAFs)
  • 16. The policy challenge is to take full advantage of the significant improvements in connectivity in ways that bring benefits to the poor. This task is far from complete. ” “ Source: IER 2010 Preface
  • 17. Thank you! The Information Economy Report 2010 can be downloaded free of charge at www.unctad.org.