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Multidisciplinary Research Week 2013World Water Day: Water
Cooperation
‘Human Capital and Water: Assessing the direct relationship and the impact of urban dimensions’,
By Sylvia Szabo, Social Statistics & Demography, University of Southampton.
Human Capital and Water Assessing the direct relationship and the impact
of urban dimensions
Multi-disciplinary Research Week
Sylvia Szabo, Social Statistics & Demography([email protected])
Motivation
• Malthusian, neo-Malthusian & counter arguments (Ehrlich, Boserup, Simon, Cohen);
• Current state of access to safe drinking water;
• Emerging urban challenges and opportunities;
• Systematic regional, global studies limited
• Reliable household level data available (e.g. DHS).
The global water situation
• The target of halving the proportion of people without SDR was met;
• However challenges remain, in particular in SSA
Urbanization in developing countries• Globally 53% urban; projected to increase to 67% by 2050;
• Megacities, with population of at least 10 million growing rapidly. Currently, 23 megacities; projected to 37 by 2025;
• Urban growth, often uncontrolled and unplanned;
• Serious threats to public health, sanitation and environment
• Inequity and inequality in human development, with increasing migration of the poor
Urbanization impact• Overall urbanisation likely to have positive effect on
access to education and as such it stimulates human capital accumulation;
• However: growth of slums, poor access to water, poor sanitation and greater burden of disease make children more disadvantaged (education and health);
• Rapid urban growth both a challenge and an opportunity, can positively and/or negatively impact the association between human capital and water access.
Research hypothesesH1: There is a positive independent association between human capital and access to improved water sources.
H2: Level of urbanization influences the magnitude and direction of the association between human capital and water access.
H3: The magnitude of the association between human capital and access to water varies depending on countries’ level of development.
Macro-level HC- SDW association (LDCs vs. non-LDCs)
8
Afghanistan Angola
Bangladesh
BeninBurkina-Faso
Burundi
Cambodia
Central African Republic
Chad
Comoros
Democratic Republic of the Congo (DRC)
Djibouti
Ethiopia
Gambia
Guinea
Guinea Bissau
Haiti
Lesotho
Liberia
Madagascar
Malawi
Mali
MauritaniaMozambique
Myanmar
Nepal
Niger
Rwanda
Samoa
Sao Tome and Principle
Senegal
Sierra Leone
Sudan
Tanzania
Timor-Leste
Togo
Uganda
Yemen
Zambia
Albania
Algeria
Armenia
AustraliaAustriaBarbadosBelarus Belgium
Belize
Bolivia
Bosnia-Hercegovina
BotswanaBrazil
Bulgaria
Cameroon
Canada
Cape Verde
Chile
China
Colombia
Congo (Brazzaville)
Costa Rica
Cote d'Ivoire
Croatia
Cuba
Cyprus Czech RepublicDenmark
Dominican Republic
Ecuador
Egypt
El Salvador
EstoniaFijiFinlandFrance
Gabon
GeorgiaGermany
Ghana
Greece
Guatemala Guyana
Honduras
HungaryIceland
India
Indonesia
Iran
Iraq
IrelandIsraelItaly
Jamaica
Japan
JordanKazakhstan
Kenya
Kuwait
Kyrgyzstan
Laos
LatviaLebanon
Lithuania
LuxembourgMalaysiaMaldives
Malta
Marshall Islands
Mauritius
Mexico Moldova
Mongolia
Montenegro
Morocco
Namibia
Netherlands New Zealand
Nicaragua
Nigeria
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
ParaguayPeru
Philippines
PortugalQatarRepublic of Korea
Romania
Russian FederationSerbiaSingapore SlovakiaSlovenia
South Africa
Spain
Sri Lanka
Suriname
Swaziland
SwedenSwitzerland
Syria
Tajikistan
TFYR Macedonia
Thailand
Tonga
Trinidad and TobagoTunisia
Turkey U.S.AUkraineUnited Arab Emirates (UAE)Uruguay
Uzbekistan
Vietnam
Zimbabwe
2040
6080
100
Acc
ess
to im
prov
ed w
ater
sou
rce
2 4 6 8 10 12 14Mean years of schooling
LDC non-LDC
Association between education and access to improved water sources by level of development
Conceptual framework
• Motivated by the Sustainable Livelihoods Framework (inspired by works of Amartya Sen & Institute of Development Studies);
- Conceptual factors (vulnerability aspect) affect initial livelihood resources/capital (financial, human, social)
- Available capital Livelihood strategies & mitigating factors Livelihood outcomes
• Complemented by literature/policy sources in the area of world development (FAO, WB, WHO).
Conceptual framework
Data & methods• Database of 35 DHS countries (including 19 LDCs and 16 non-LDCs)
– More than half million cases (households)• Descriptive statistics and multilinear logistic regression
• Key variables:
– Safe/unsafe water (UN classification);– Human capital (mean years of education of hh members in
working ages);– Place of residence (urban/rural);– Contextual urban variables (urban growth, proportion of urban
population, urban population residing in slums).
Does human capital increase the odds to access water?
12
24
68
10P
redi
cted
odd
s
0 5 10 15Household education
Predicted odds of access to improved water source
Urban impact
13
24
68
1012
Pred
icte
d od
ds
rural urban
24
68
10
1.5 2 2.5 3 3.5 4 4.5 5
Urban growth (%)
24
68
1012
Pred
icte
d od
ds
15 25 35 45 55 65 75
Proportion urban (%)
05
1015
15 25 35 45 55 65 75
Urban population in slums (%)
Predicted odds of access to improved water source by urban dimensions
14
02
46
8
Pre
dict
ed o
dds
rural urban
05
1015
29 39 49 59 69Proportion urban (%)
05
1015
2025
Pre
dict
ed o
dds
2.51.5 2 3 3.5Urban growth (%)
010
2030
exp(
xb()
)
17 27 37 47 57Urban population in slums (%)
Predicted odds of access to improved water sources by urban dimensions (non-LDCs)
02
46
8
Pre
dict
ed o
dds
rural urban
05
1015
13 23 33 43
Proportion urban (%)
24
68
1012
Pre
dict
ed o
dds
2.8 3.2 3.6 4 4.4
Urban growth (%)
02
46
810
38 48 58 68 78
Urban population in slums (%)
Predicted odds of access to improved water sources by urban dimensions (LDCs)
Non-LDCs
LDCs
Conclusions & policy implications (1)• Human capital has a significant positive impact on access
to safe drinking water
– This impact is greater in the LDCs• Urbanisation has a significant mitigating impact on the
association between human capital and water access:
– Differentiated in non-LDCs (positive impact of urban growth and proportion urban)
– Negative in LDCs• HHs with female head of HH are more
likely to have access to SDW, in particular in LDCs.
15
Conclusions and policy implications (2)• Investments in human capital are crucial, in particular
in the LDCs;
• Sustained urbanisation and urban planning are indispensable in order for households to benefit from the positive impact of living in towns/cities;
• Overall infrastructure and HHs’ distance to water source is key;
• Gender differentials still exist, greater in LDCs - scale up investments in gender equality;
• Integrated approach & multistakeholder collaboration.
16
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World Water Day: Water CooperationMultidisciplinary Research Week 2013