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In this power point presentation, Eitan Felner, consultant for the UNDP, at the Cairo Workshop on Assessing Governance in Sectors, looks at synergies between Human Rights and empirically-based socio-eocnomic analysis.
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A rights-based approach to delivering on the MDGs
Governance Workshop
Cairo
June 2009
Eitan FelnerIndependent Consultant
Purpose of Presentation
1
Synergy between Human Rights and empirically-based Socioeconomic Analysis
Assessing governance-relatedissues on MDGs
2
High deprivation and inequality In HD outcomes
Gov’t public policies
Root causes Lack of political will
Progress on MDGs…
Like a Tango Dance
Deprivations and Disparities in MDGs
“Most countries are off track to meet most MDGs”World Bank, Global Monitoring Report 2008
“Many countries with good average performance on the Goals contain population groups — and sometimes entire areas — being left behind.
UNDP, Human Development Report 2003
GOVERNANCE
Good Governance: A crucial element for attaining the MDGs
Primary Education
Maternal health
End Poverty & hunger
Gender Equality
Child Health
Combat HIV/AIDS
Environmental Sustainability
Global Partnership
MDGs
The role of human rights in governance assessments of MDGs
Normative Foundations Universal legal obligations
Moral language of our times
Source of Political legitimacy
Basic challenge to make governments accountable for insufficient progress in MDGs
Deprivations and disparities in progress in MDGs are result of multiple reasons, only some of which can be attributed to government actions or inactions
“Health” […] is influenced by a range of factors – including health-related behaviour, prenatal factors, early childhood, social status, support, living conditions, education, health services, nutrition, and stress.”
WHO and UNFPA, National-level monitoring of the Achievement of universal access to reproductive health, 2008
Focus of human rights approach: avoidable deprivations
Calls attention to the fact that widespread deprivations and disparities are all too often not inevitable
Rather: frequently generated, perpetuated or exacerbated by lack of political will of governments
What is needed…
Simple tools to assess to what extent deprivations, disparities
and lack of progress in MDGs can be traced back to failures of
government policy
3-step Methodological framework
#1 Identifying deprivations and disparities
#2 Identifying inadequacy of policy efforts to address obstacles to MDGs
#3 (OPTIONAL) Structural causes behind inadequacy of policy efforts
Pattern of Massive Deprivation
Step #1 - Identifying deprivations and disparities in MDGs
Niger (1998)
Chad (2004)
Bangladesh (2004)
0
20
40
60
80
100
Quintille 1(lowest)
Quintille 2 Quintille 3 Quintille 4 Quintille 5(highest)
WHO 2008, based on data from Gwatkin et al, 2007
A pattern of Marginalization
Step #1 - Identifying deprivations and disparities in MDGs (continued)
WHO 2008, based on data from Gwatkin et al, 2007
Nigaragua (2001)
Colombia (2005)
Turkey (1998)
0
20
40
60
80
100
Quintille 1(lowest)
Quintille 2 Quintille 3 Quintille 4 Quintille 5(highest)
Step #2 -Identifying inadequacy of policy efforts to address determinants
A. Sector related policies
Demand Factors
Insufficient availability
Poor Quality
Inadequate Programs to tackle obstacles in use of
services
Unaffordabilityof services
Culturally Inappropriate
Unfair Distribution
Insufficient Coverage
Underfunded Programs
Resource allocation
Supply Factors
Inadequate Provision of services
Step #2 -Identifying inadequacy of policy efforts to address determinants(continued)
B. Non-sector related policies
Unequal Physical
accessibility
Underfunding of nutritional
Programs
Fiscal Policies
Inadequate Programs to tackle obstacles in use of
services
Poverty Reduction Strategies
Land Reform
Policies addressing underlying
determinants
Supply Factors
Factors
Step #2 -Identifying inadequacy of policy efforts to address determinants(illustration)
High incidence of girls out of primary school
Parents refusal to send girls to
school
Parents can’t afford school fees
Cultural belief and practices
Teachers are often absent
Government’s responsibility
School too far away
Gov’t forbids girls to attend
school
Poor quality of teaching
SupplyDemandFactors outsidesector
Inequity between regions in allocation of resources for MDG programs
Insufficient resources for MDGs (in education, health, nutrition, etc)
Corruption
Elite Capture
Ethnic Discrimination
Political Clientelism
Women’s lack of access to basic social services
Discriminatory beliefs and traditional
practices condones or promoted by government
Step #3 – Structural causes behind inadequacy of government efforts
Addressing unequal power relations
“The overly technocratic nature of the MDGs and closely associated institutions has been questioned. The MDG project places great emphasis on the mobilization of financial resources and technical solutions, but less on transforming power relations that are partly responsible for current levels of poverty in developing, and developed, countries.”
UN Office of the High Commissioner for Human Rights, Claiming the MDGs: A Human Rights Approach
“Inequity in education is linked to wider disparities in the distribution of power, wealth and opportunity. And it is perpetuated by policies that either tolerate or actively exacerbate an unfair distribution of life chances – policies that fuel the transmission of poverty across generations.”
UNESCO, Education For All Report 2009
Some illustrations
Richest 20%
Poorest 20%
0
10
20
30
40
50
60
70
80
90
100
1
Poverty’s grip keeps children out of school
Determinants of MDGs-relateddeprivations and inequalities Inadequacy of policy efforts
to address determinants
Structural causes behindinadequacy of
government efforts
Primary school net attendance ratio in Developing countries, richest and poorestQuintile, 2000/2006 (percentage)
UN – The Millenium Development Goals Report 2008
73Zimbabwe
43.7Zambia
75.3Uganda
33.9Nigeria
47.6Kenya
45.4Cameroon
Could not pay School
Country
Reasons for dropping out of primary school, selected African countries, various years (percentage)
Demographic and Health Surveys
Public expenditure on education – skewed against the poor
Determinants of MDGs-relateddeprivations and inequalities Inadequacy of policy efforts
to address determinants
Structural causes behindinadequacy of
government efforts
Gap in public spending on education between richest and poorest quintile selected developing countries, various years (%)
0102030405060708090
100
Armenia Cote d'Ivoire Ecuador Ghana Guinea Kazakhistan Madagascar Malaw i Morocco Nepal Nicaragua Pakistan Peru Tanzania Vietnam
Poorest Quintile Richest Quintile
World Bank, World Development Report 2000/2001
Why is so little spend on educating the Poor? Elite capture
Determinants of MDGs-relateddeprivations and inequalities
Inadequacy of policy effortsto address determinants
Structural causes behindinadequacy of
government efforts
“The underlying cause of unequal public spending is the patron-client relationship—between the affluent elite and the government—that prevails in many countries.
Economic power and the wealth associated with it enable the affluent to buy favourable policies from politicians. In contrast, the poor lack the resources with which to lobby and they are less organized...They are, therefore, in many cases unable to influence the government in their favour.”
Tony Addison et al, ‘Why is so Little Spent on Educating the Poor?” 2001
“The ruling elites found it convenient to perpetuate low literacy rates. The lower the proportion of literate people, the lower the probability that the ruling elite could be replaced”
Ishrat Husain, Pakistan: The Economy of an Elitist State
A rights-based approach to delivering on the MDGs
Governance Workshop
Cairo
June 2009
Eitan FelnerIndependent Consultant
End of Presentation
The Right to Education in Guatemala
Education for All Development Index (EDI) and GDP pc, LAC 2005
0.8
0.82
0.84
0.86
0.88
0.9
0.92
0.94
0.96
0.98
1
2000 4000 6000 8000 10000 12000
GDP per capita, PPP (constant 2005 international $)
Educ
atio
n fo
r All
Dev
elop
men
t Ind
ex
Source: WDI 2008 and UNESCO EFA Global Monitoring Report 2008
NicaraguaGuatemala
HondurasEl Salvador
Paraguay
Bolivia
Dominican Rep.
Colombia
Ecuador
Peru
Jamaica
Brazil
Panama
Uruguay
Venezuela
Mexico
Argentina
Chile
Determinants of MDGs-relateddeprivations and inequalities Inadequacy of policy efforts
to address determinants
Structural causes behindinadequacy of
government efforts
Secondary Net Enrollment Rate
2005
Primary Completion Rate 2005
Adult Literacy Rates*
100%LAC 98%
90 LAC 90%
80
70 Guatemala 74%LAC 69% Guatemala 69%
60 SS Africa 61%SS Africa 59%
50
40Guatemala 35.4%
30SS Africa 25.3%
20
10
0%Source: UNESCO Source: WDI Source: WDI*LAC and SS Africa: 2005. Guatemala: 2002
MethodComparing one country with different regionshelps flag underperformance
Determinants of MDGs-relateddeprivations and inequalities Inadequacy of policy efforts
to address determinants
Structural causes behindinadequacy of
government efforts
Exposing Chronic Underfunding and Insufficient Coverage of Aid Programs for Poor ChildrenFood Programme Money Spent Annually per Student and % of Underweight Children, LAC
0
5
10
15
20
25
30
35
40
45
50
10 20 30 40 50 60 70 80 90 100
Food programme US$ spent annually per student
% o
f pre
-prim
ary
and
prim
ary
stud
ents
und
erw
eigh
t
Guatemala
Honduras
Bolivia
Nicaragua
Colombia
Brazil
Panama
Argentina
Mexico
Costa Rica
Venezuela
Chile
Uruguay
Source: Barros 2005
PeruEcuador
MethodCross-country comparison of resource allocation for specific aid programs
Determinants of MDGs-relateddeprivations and inequalities Inadequacy of policy efforts
to address determinants
Structural causes behindinadequacy of
government efforts
Becas and Deserters per Municipality
0
500
1000
1500
2000
2500
3000
3500
San Ju
an Sac
atepe
quez
Los A
mates
Joya
baj
San Tom
as C
hichic
asten
ango
Palenc
ia
Tajumulc
o
Number of Deserters after 1st Gradeper Municipality, Girls 2006
Number of Becas per Municipality
Source: Mineduc statistics 2005 and 2006. "Initial Enrollment, girls, rural, all sectors, per grade"
MethodDistributional analysis of aid program to identify mismatch between needs and resource distribution
Inadequacy of policy efforts to address determinants –Comparing needs with resource allocation
Sources: ENCOVI 2006, Rubio and Salanic (2005) and UNDP Guatemala 2005
MethodComparing multiple data sets
Poverty IncidenceTeachers’ Reading
Test ScoresConcentration of
Indigenous PeopleDept. Poverty Dept. Score Dept. % Pop. IndigenousQuiché 81 Sacatepéquez 72.6 Totonicapán 98%Alta Verapaz 78.8 Guatemala 66.5 Sololá 96%Sololá 74.6 Chimaltenango 66 Alta Verapaz 93%Totonicapán 71.9 El Progreso 61.4 Quiché 89%Huehuetenango 71.3 Retalhuleu 60.5 Chimaltenango 79%Baja Verapaz 70.4 Petén 60.5 Huehuetenango 65%San Marcos 65.5 San Marcos 60.2 Baja Verapaz 59%Jalapa 61.2 Zacapa 59.9 Quetzaltenango 54%Chimaltenango 60.5 Jalapa 59.8 Suchitepéquez 52%Chiquimula 59.5 Chiquimula 59.3 Sacatepéquez 42%Santa Rosa 57.9 Escuintla 58.8 San Marcos 31%Petén 57 Suchitepéquez 57.4 Petén 31%Suchitepéquez 54.7 Quetzaltenango 56.8 Retalhuleu 23%Zacapa 53.9 Baja Verapaz 56.2 Jalapa 19%Retalhuleu 50.4 Jutiapa 55.6 Chiquimula 17%Jutiapa 47.3 Totonicapán 54.2 Guatemala 14%Quetzaltenango 44 Huehuetenango 53.5 Escuintla 7%El Progreso 41.8 Santa Rosa 52.5 Jutiapa 3%Escuintla 41.4 Sololá 51.4 Santa Rosa 3%Sacatepéquez 36.5 Quiché 51.2 El Progreso 1%Guatemala 16.3 Alta Verapaz 50.9 Zacapa 1%
Inadequacy of policy efforts to address determinants –Assessing whether marginalized children are being taught by the least qualified teachers
Analysing resource allocation for core obligations: UNDP social priority spending ratios
Government share of GDP
Public expenditure ratio
Basic social services share of GDP
Human expenditure ratio
Basic social services share of social spending
Social Priority ratio
Social services share of Government spending
Social Allocation ratio
Human expenditure ratio: The product of the previous three ratios: (PE/GDP)x(SS/PE)x(BSS/SS) The macroeconomic priority assigned to basic social services.
Source: UNDP 1991
Social priority spendingPublic expenditure ratio
0% 10% 20% 30% 40% 50%
Guatemala
Moroccoo
Lebanon
Zambia
Social allocation ratio
0% 10% 20% 30% 40% 50%
Social priority ratio
0% 10% 20% 30% 40% 50%
Human expenditure ratio
0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0%
Guatemala
Moroccoo
Lebanon
Zambia
Source: Harrington et al., ‘Financing basic social services’
Basic education expenditure ratio
Basic health expenditure ratio
Why human rights can help hold gov’taccountable?
Why human rights can help hold gov’taccountable?