2. 2
Contextual Factors
& Initial Conditions
{IWRM}
Policy (mix)
Institutions
Water Law
Organizations
Process
Integration/Coordination
Decentralization
Participation
WRM
IWRM
Water resources
endowment/distribution/level
of development
Level of economic
development Nation/RB
Political factors (Democracy
National/local levels,
Decentralization, Governance)
Social/cultural factors (local
experience with self
governance and service
provision)
etc
Mohamed Ait Kadi – Zaragoza 0708
3. Improved Water: Total (Urban Rural)
UNICEF and WHO. 2012. Progress on drinking water and sanitation: 2012 update.
Available at: http://www.wssinfo.org/fileadmin/user_upload/resources/JMP-report-2012-en.pdf Accessed on 28 Jan 2013.
4. Some Good News!
Childhood mortality rates are declining the
rate of decline is accelerating.
Across 21 regions of the world, rates of
neonatal, post-neonatal, and childhood
mortality are declining, and there is evidence
of accelerating declines from 2000 to 2010
compared with 1990 to 2000 (including Sub-
Saharan Africa).
Rajaratnam et al. (2010). “Neonatal, post-neonatal, childhood, and under-5 mortality
for 187 countries, 1970–2010: a systematic analysis of progress towards
Millennium Development Goal 4.” The Lancet. May 24.
6. WASH-related Mortality– China, India, Brazil,
Nigeria (1950-2050)
0.25
0.20
0.15
0.10
0.05
0.00
1950
1960
1970
1980
1990
2000
2010
2020
2030
2040
2050
WSH Mortality Rate (%)
Year
China
India
Brazil
Nigeria
7. Emerging Threshold Countries in SSA
Source: Radalet 2010
o 17 emerging countries: dramatic
changes in economic growth,
poverty reduction, and political
accountability since the mid-1990s.
o Avg. annual GDP growth of 3.2%,
between 1996 and 2008 (all 17
emerging countries)
o 6 threshold countries: considerable
but less dramatic change
9. High Mortality
High Mortality
Stagnant Moderate decline
o Highest WASH mortality rates, both
at baseline and in projections
o Stagnant progress in reducing
WASH mortality in some counties
(mostly fragile and oil states)
o Moderate decline in other
countries (mostly threshold and
emerging economies)
10. Moderate Mortality,
Insufficient Decline (Little Progress)
o Moderate WASH mortality rates,
for the Sub-Saharan Africa region
o Progress is insufficient to achieve
South Asian levels of WASH
mortality by 2050
Moderate Mortality;
Insufficient Decline
11. Moderate Mortality,
Sufficient Decline (Good Progress)
o Moderate WASH mortality rates,
for the Sub-Saharan Africa region
o Progress is sufficient to achieve
South Asian levels of WASH
mortality by 2050.
o Mostly threshold and emerging
economies
Moderate Mortality;
Sufficient Decline
12. Low Mortality
o Historically low WASH mortality
rates, comparable to South Asia
o By 2050, WASH mortality projected
to be near zero
Low Mortality
18. WASH Mortality Categories:
Representative Countries
Moderate Mortality;
Insufficient Decline
High Mortality
Low Mortality
High Mortality
Stagnant
Democratic Rep.
of Congo
Moderate decline
Ethiopia
Moderate Mortality;
Sufficient Decline
Nigeria
Kenya South Africa
19. WASH Mortality Categories
Moderate Mortality;
Insufficient Decline
High Mortality
Low Mortality
High Mortality
Stagnant
Burundi
Central African Rep.
Chad
DRC
Guinea Bissau
Niger
Somalia
Moderate decline
Angola
Burkina Faso
Ethiopia
Liberia
Mali
Sierra Leone
Moderate Mortality;
Sufficient Decline
Benin
Cameroon
Comoros
Congo
Cote d'Ivoire
Ghana
Guinea
Madagascar
Malawi
Mauritania
Mozambique
Nigeria
Rwanda
Sudan
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Botswana
Equatorial
Guinea
Eritrea
Gambia
Kenya
Lesotho
Namibia
Senegal
Swaziland
Cape Verde
Gabon
Mauritius
Seychelles
South Africa
25. Model Overview
Collect secondary data
Assemble country-level data sets and estimate empirical relationships
using regression analysis
Coverage with water
sanitation services
WASH-related
mortality
Other control
variables
Assess associations with
WASH-related mortality rates
Assess associations with piped
and improved water and
sanitation coverage
Adjust coverage estimates for
piped water + sewer
Simulate outcomes (1990-2050)
WASH-related
mortality rates
Piped service + improved
water coverage
Calculate WASH-related
deaths (1990-2050)
Calculate WTP to avoid
mortality (1990-2050)
Sensitivity analyses
on model
parameters