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Disability and Poverty in LMICs:
Some Evidence and lessons learned
Jean-Francois Trani, Parul Bakhshi,
Washington University in St Louis
Lessons from a Decade’s Research on Poverty:
Innovation, Engagement and Impact
Pretoria, March 16-18th 2016
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Outline
2
• Introduction
• Methodology: multiple disability studies in
Afghanistan, India, Morocco, Nepal, Sierra Leone,
Sudan, Tunisia
• Main findings
• Concluding remarks
2
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Introduction
Kabul, Afghanistan, SCA Rehabilitation Center, 2011
33
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Capability approach and Disability
4
Introduction Methods Findings Concluding remarks
• Disability is lack of capabilities: poor conversion factors and
lack of agency
• Persons with disabilities are deprived of agency, facing
deprivation resulting from a double handicap: an earnings
handicap and a conversion handicap
• The conversion handicap refers to the extra needs and costs of
living with a disability in a given environment
• Looks at the impact of disability on the family and community
• Promotes the understanding that the poverty of persons with
disabilities comprises social exclusion and disempowerment,
not just lack of material resources.
4
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Hypothesis: Barriers to the realisation of people with
disabilities’ aspirations
5
• Are People with Disabilities facing barriers that hinder their
participation in social and economic life ?
• In Low and Middle Income Countries, is there wider exclusion
from basic capabilities: health, education, employment,
security, food and shelter, sanitation, social and political life?
• The frustrations and distress that comes with the experience
of exclusion has a toll on the mental health of persons with
disabilities, increases anxiety and reduces self esteem
• Facing inequalities and injustice, persons with disabilities see
their aspirations to a good life shuttered
Introduction Methods Findings Concluding remarks
5
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Research questions
6
• Are they higher barriers and inequalities faced by
persons with disabilities and are they persistent in all
these countries
=> Measure the gap in economic and social opportunities
and circumstances between disabled and non-disabled
persons at individual and household level
• What are the consequences of these inequalities on the
quality of life and aspirations of persons with
disabilities?
Introduction Methods Findings Concluding remarks
6
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Examining data collected over a decade in LMICS
7
• Analysis of data from large-scale surveys on poverty &
vulnerability in Low and Middle Income Countries
(LMICs) and in Conflict settings
• Afghanistan 2005 and 2013: Handicap International-
UNOPS-Swiss & French Cooperation / Swedish
Committee for Afghanistan- SIDA,
• Darfur, Sudan 2008: UNICEF
• Sierra Leone, 2009: Leonard Cheshire Disability
• New, Delhi India 2011: DFID
• Nepal, 2011: DFID
• Morocco and Tunisia (2014): Handicap International
Introduction Methods Findings Concluding remarks
7
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Collecting primary data to construct a picture of disability
and capabilities
8
• Questions about socio-economic family background
• Screening for disability (DSQ34)
• Questionnaires to measure:
 individual conversion factors (characteristics),
 functionings: what people do and choose to be
 existing opportunities and barriers to achieve wellbeing in a given context
considering various domains of capabilities
 norms and values, prejudice and social exclusion
• Looking at access to services, employment, income and assets,
livelihoods, self-perception, social status and social exclusion process
• Prepared by and completed with qualitative work (FGDs…) for
cultural validity
Introduction Methods Findings Concluding remarks
8
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Multidimensional poverty in Afghanistan: dimensions &
Cut offs
9
Dimension Deprived if… (1st Cut-off)
1. Health status (source of water)
Well in residence/ compound/plot; covered well; open well and
kariz; spring; river/stream; pond/lake; still water; rain water;
tanker/truck;other
2. Love and care Lacks mother's care
3. Family assets Less than 6 assets
4. Food security Often not enough food
5. Social inclusion
At least one incident of mistreatment, no participation in ceremony
and engaged or married
6. Education No education
7. Freedom from exploitation
and leisure activities
Child works more than two and a half hour/day
8. Crowded space More than three people per room
9. Personal autonomy Moderate difficulty to carry out ADL
10. Mobility Moderate difficulty to be mobile
Introduction Methods Findings Concluding remarks
9
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Multidimensional poverty in Afghanistan: children
10
0
0.1
0.2
0.3
0.4
0.5
1 2 3 4 5 6 7 8 9 10
Non-disabled
Disabled
Greater depth of poverty for disabled children whatever the cut off
Introduction Methods Findings Concluding remarks
10
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned 11
Greater depth of poverty for mentally disabled adults whatever the cut off
0.0
0.1
0.2
0.3
0.4
0.5
1 2 3 4 5 6 7 8 9 10 11 12 13 14
None/mild/moderate
Physical
Sensorial
Mental
Multidimensional poverty in Afghanistan: adults
Introduction Methods Findings Concluding remarks
11
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Multidimensional poverty in Darfur Sudan: children
12
Greater depth of poverty for disabled children whatever the cut off
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
0.400
1 2 3 4 5 6 7 8 9 10
Non disabled
Mildly disabled
Severely disabled
Introduction Methods Findings Concluding remarks
12
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Multidimensional poverty in Darfur Sudan: by gender
13
Greater depth of poverty for disabled girls whatever the cut off
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
0.400
1 2 3 4 5 6 7 8 9
Boys with disabilities
Girls with disabilities
Introduction Methods Findings Concluding remarks
13
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Afghanistan & India: Mental Illness, Stigma and Poverty
14
• Higher level and intensity of multiple deprivations are particularly
associated with mental disability in Afghanistan and with mental
illness in India
• Deprivation of employment and income are major contributors to
M0 in both studies
• Multidimensional poverty is associated with stigma attached to
disability and mental illness
• In turn, poverty erodes self-esteem and brings shame and
acceptance of discriminatory attitudes
Introduction Methods Findings Concluding remarks
14
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
India: Likelihood to be poor
15
• Higher risk to be multidimensional poor for persons with severe mental
illness (PSMI)
• Stigma is a moderating factor that increases likelihood to be poor
• This is even more the case for women PSMI and those from lower castes
Introduction Methods Findings Concluding remarks
15
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Afghanistan:
Access to healthcare
16
OR (95% CI) P value
Predictor variables
Level 1
Gender Female (ref: Male) 1.00 (0.74-1.35) 0.98
Age 0.99 (0.99-1.00) 0.03
Education (Ref: No formal education) 1.52 (1.05-2.20) 0.03
Ethnicity (Ref: Pashtun) Tajik
Minority
0.83 (0.531.30)
0.99 (0.62-1.58)
0.42
0.96
Type of disability Sensory
Mental and Associated (Ref: Physical)
0.88 (0.62-1.26)
0.81 (0.57-1.15)
0.49
0.24
Asset index 20%-80%
20% richest (Ref: 20% poorest)
1.78 (1.24-2.55)
2.60 (1.61-4.21)
0.001
<0.001
Working for monetary compensation
Working (Ref: Not working) 1.27 (0.89-1.82) 0.18
Cause of disability
Acquired after birth (Ref: By birth) 0.81 (0.61-1.09) 0.17
Year 2013 (Ref: 2005) 0.36 (0.21-0.64) <0.001
Level 2
Time to reach clinic 0.99 (0.99-1.00) 0.59
Village connectivity by a paved road (Ref:
Not connected) 1.23 (0.73-2.09) 0.44
Electricity in village (Ref: No) 1.47 (0.89-2.44) 0.13
District Center Distance 0.98 (0.94-1.01) 0.14
Distance to Road 1.12 (0.97-1.29) 0.11
Distance to Road*Year (ref: 2005) 0.74 (0.58-0.95) 0.02
AIC 1546.2
-LL -753.08
• No difference by gender, age,
cause/type of disability
• Educated people and those
from wealthier HH are more
likely to access healthcare
• Access is worse in 2013
compared to 2005 for persons
with disabilities
• Worse access in remote areas
in 2013 than in 2005.
Introduction Methods Findings Concluding remarks
16
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Afghanistan: Access to school
17
Level 1 at individual level
•Women with disabilities have 3 times less
chances of access;
•In 2013 all children with disabilities are 4.3
times less likely to access;
•Persons with mental/associated disability
are 2.3 times less likely to access school;
•PwD with known cause are 3.3 times more
likely to access school than when the cause
is unknown.
Level 2 at Village Level
•2.3 times more likely to go to school if there
is electricity in village.
•In 2013, villages poorly connected by
paved road are 5.9 times less likely to send
their cwd to school than those poorly
connected in 2005;
stigma and accessibility issue not
solved.
Introduction Methods Findings Concluding remarks
OR (95% CI) P value
Predictor Variables
Level 1
Gender
Female (ref: Male) 0.32 (0.19-0.54) <0.0001
Age 0.97 (0.95-1.00) 0.11
Ethnicity (Ref: Pashtun)
Tajik
Minority
0.90 (0.47-1.70)
1.03 (0.54-1.95)
0.74
0.93
Type of disability (Ref: Physical)
Sensory
Mental and Associated
0.44(0.22-0.84)
0.43 (0.22-0.80)
0.01
0.01
Asset index (Ref: 20%-80%)
20% poorest
20% richest
2.18 (1.05-4.56)
5.92 (2.57-13.63)
0.04
<0.0001
Cause of disability (Ref: Unknown cause)
Known cause 3.27 (1.92-5.56) <0.0001
Year (Ref: 2005)
2013 0.23 (0.08-0.67) 0.01
Level 2
Village connec vity by a paved road (Ref: No)
Yes 1.87 (0.76-4.58) 0.17
Electricity in village (Ref: No)
Yes 2.27 (1.22-4.27) 0.01
District Center Distance 0.99 (0.93-1.07) 0.94
Distance to Road 0.87 (0.72-1.05) 0.16
Village connec vity by a paved road*Year (Ref: 2005) 0.17 (0.04-0.74) 0.02
District Center Distance*Year (ref: 2005) 1.05 (0.96-1.15) 0.26
AIC 611
-LL -287.51
17
18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned
Concluding remarks
18
• Negative effect of disability on outcomes linked with various important elements
of wellbeing in all countries: unemployment, access to health, education and
poverty
• in line with WHR: Major disabilities have lasting influences on well-being
• Growing body of research in LMICs showing existence of barriers for persons
with disabilities that are deprived of jobs and other economic opportunities
and experience higher poverty and lower quality of life compared to the rest
of the population.
• Stigma translates in reduced opportunities is a major impediment to flourishing:
low self esteem & aspirations=> issue for public policies
• In such a context, what are the possibilities to enhance persons with disabilities’
“capacity to aspire” and capabilities? (Appadurai, 2004)
Introduction Methods Findings Concluding remarks
18

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4 Disability and Poverty in LMICs, Jean Francois Trani & Parul Bakhshi

  • 1. Disability and Poverty in LMICs: Some Evidence and lessons learned Jean-Francois Trani, Parul Bakhshi, Washington University in St Louis Lessons from a Decade’s Research on Poverty: Innovation, Engagement and Impact Pretoria, March 16-18th 2016
  • 2. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Outline 2 • Introduction • Methodology: multiple disability studies in Afghanistan, India, Morocco, Nepal, Sierra Leone, Sudan, Tunisia • Main findings • Concluding remarks 2
  • 3. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Introduction Kabul, Afghanistan, SCA Rehabilitation Center, 2011 33
  • 4. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Capability approach and Disability 4 Introduction Methods Findings Concluding remarks • Disability is lack of capabilities: poor conversion factors and lack of agency • Persons with disabilities are deprived of agency, facing deprivation resulting from a double handicap: an earnings handicap and a conversion handicap • The conversion handicap refers to the extra needs and costs of living with a disability in a given environment • Looks at the impact of disability on the family and community • Promotes the understanding that the poverty of persons with disabilities comprises social exclusion and disempowerment, not just lack of material resources. 4
  • 5. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Hypothesis: Barriers to the realisation of people with disabilities’ aspirations 5 • Are People with Disabilities facing barriers that hinder their participation in social and economic life ? • In Low and Middle Income Countries, is there wider exclusion from basic capabilities: health, education, employment, security, food and shelter, sanitation, social and political life? • The frustrations and distress that comes with the experience of exclusion has a toll on the mental health of persons with disabilities, increases anxiety and reduces self esteem • Facing inequalities and injustice, persons with disabilities see their aspirations to a good life shuttered Introduction Methods Findings Concluding remarks 5
  • 6. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Research questions 6 • Are they higher barriers and inequalities faced by persons with disabilities and are they persistent in all these countries => Measure the gap in economic and social opportunities and circumstances between disabled and non-disabled persons at individual and household level • What are the consequences of these inequalities on the quality of life and aspirations of persons with disabilities? Introduction Methods Findings Concluding remarks 6
  • 7. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Examining data collected over a decade in LMICS 7 • Analysis of data from large-scale surveys on poverty & vulnerability in Low and Middle Income Countries (LMICs) and in Conflict settings • Afghanistan 2005 and 2013: Handicap International- UNOPS-Swiss & French Cooperation / Swedish Committee for Afghanistan- SIDA, • Darfur, Sudan 2008: UNICEF • Sierra Leone, 2009: Leonard Cheshire Disability • New, Delhi India 2011: DFID • Nepal, 2011: DFID • Morocco and Tunisia (2014): Handicap International Introduction Methods Findings Concluding remarks 7
  • 8. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Collecting primary data to construct a picture of disability and capabilities 8 • Questions about socio-economic family background • Screening for disability (DSQ34) • Questionnaires to measure:  individual conversion factors (characteristics),  functionings: what people do and choose to be  existing opportunities and barriers to achieve wellbeing in a given context considering various domains of capabilities  norms and values, prejudice and social exclusion • Looking at access to services, employment, income and assets, livelihoods, self-perception, social status and social exclusion process • Prepared by and completed with qualitative work (FGDs…) for cultural validity Introduction Methods Findings Concluding remarks 8
  • 9. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Multidimensional poverty in Afghanistan: dimensions & Cut offs 9 Dimension Deprived if… (1st Cut-off) 1. Health status (source of water) Well in residence/ compound/plot; covered well; open well and kariz; spring; river/stream; pond/lake; still water; rain water; tanker/truck;other 2. Love and care Lacks mother's care 3. Family assets Less than 6 assets 4. Food security Often not enough food 5. Social inclusion At least one incident of mistreatment, no participation in ceremony and engaged or married 6. Education No education 7. Freedom from exploitation and leisure activities Child works more than two and a half hour/day 8. Crowded space More than three people per room 9. Personal autonomy Moderate difficulty to carry out ADL 10. Mobility Moderate difficulty to be mobile Introduction Methods Findings Concluding remarks 9
  • 10. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Multidimensional poverty in Afghanistan: children 10 0 0.1 0.2 0.3 0.4 0.5 1 2 3 4 5 6 7 8 9 10 Non-disabled Disabled Greater depth of poverty for disabled children whatever the cut off Introduction Methods Findings Concluding remarks 10
  • 11. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned 11 Greater depth of poverty for mentally disabled adults whatever the cut off 0.0 0.1 0.2 0.3 0.4 0.5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 None/mild/moderate Physical Sensorial Mental Multidimensional poverty in Afghanistan: adults Introduction Methods Findings Concluding remarks 11
  • 12. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Multidimensional poverty in Darfur Sudan: children 12 Greater depth of poverty for disabled children whatever the cut off 0.000 0.050 0.100 0.150 0.200 0.250 0.300 0.350 0.400 1 2 3 4 5 6 7 8 9 10 Non disabled Mildly disabled Severely disabled Introduction Methods Findings Concluding remarks 12
  • 13. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Multidimensional poverty in Darfur Sudan: by gender 13 Greater depth of poverty for disabled girls whatever the cut off 0.000 0.050 0.100 0.150 0.200 0.250 0.300 0.350 0.400 1 2 3 4 5 6 7 8 9 Boys with disabilities Girls with disabilities Introduction Methods Findings Concluding remarks 13
  • 14. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Afghanistan & India: Mental Illness, Stigma and Poverty 14 • Higher level and intensity of multiple deprivations are particularly associated with mental disability in Afghanistan and with mental illness in India • Deprivation of employment and income are major contributors to M0 in both studies • Multidimensional poverty is associated with stigma attached to disability and mental illness • In turn, poverty erodes self-esteem and brings shame and acceptance of discriminatory attitudes Introduction Methods Findings Concluding remarks 14
  • 15. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned India: Likelihood to be poor 15 • Higher risk to be multidimensional poor for persons with severe mental illness (PSMI) • Stigma is a moderating factor that increases likelihood to be poor • This is even more the case for women PSMI and those from lower castes Introduction Methods Findings Concluding remarks 15
  • 16. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Afghanistan: Access to healthcare 16 OR (95% CI) P value Predictor variables Level 1 Gender Female (ref: Male) 1.00 (0.74-1.35) 0.98 Age 0.99 (0.99-1.00) 0.03 Education (Ref: No formal education) 1.52 (1.05-2.20) 0.03 Ethnicity (Ref: Pashtun) Tajik Minority 0.83 (0.531.30) 0.99 (0.62-1.58) 0.42 0.96 Type of disability Sensory Mental and Associated (Ref: Physical) 0.88 (0.62-1.26) 0.81 (0.57-1.15) 0.49 0.24 Asset index 20%-80% 20% richest (Ref: 20% poorest) 1.78 (1.24-2.55) 2.60 (1.61-4.21) 0.001 <0.001 Working for monetary compensation Working (Ref: Not working) 1.27 (0.89-1.82) 0.18 Cause of disability Acquired after birth (Ref: By birth) 0.81 (0.61-1.09) 0.17 Year 2013 (Ref: 2005) 0.36 (0.21-0.64) <0.001 Level 2 Time to reach clinic 0.99 (0.99-1.00) 0.59 Village connectivity by a paved road (Ref: Not connected) 1.23 (0.73-2.09) 0.44 Electricity in village (Ref: No) 1.47 (0.89-2.44) 0.13 District Center Distance 0.98 (0.94-1.01) 0.14 Distance to Road 1.12 (0.97-1.29) 0.11 Distance to Road*Year (ref: 2005) 0.74 (0.58-0.95) 0.02 AIC 1546.2 -LL -753.08 • No difference by gender, age, cause/type of disability • Educated people and those from wealthier HH are more likely to access healthcare • Access is worse in 2013 compared to 2005 for persons with disabilities • Worse access in remote areas in 2013 than in 2005. Introduction Methods Findings Concluding remarks 16
  • 17. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Afghanistan: Access to school 17 Level 1 at individual level •Women with disabilities have 3 times less chances of access; •In 2013 all children with disabilities are 4.3 times less likely to access; •Persons with mental/associated disability are 2.3 times less likely to access school; •PwD with known cause are 3.3 times more likely to access school than when the cause is unknown. Level 2 at Village Level •2.3 times more likely to go to school if there is electricity in village. •In 2013, villages poorly connected by paved road are 5.9 times less likely to send their cwd to school than those poorly connected in 2005; stigma and accessibility issue not solved. Introduction Methods Findings Concluding remarks OR (95% CI) P value Predictor Variables Level 1 Gender Female (ref: Male) 0.32 (0.19-0.54) <0.0001 Age 0.97 (0.95-1.00) 0.11 Ethnicity (Ref: Pashtun) Tajik Minority 0.90 (0.47-1.70) 1.03 (0.54-1.95) 0.74 0.93 Type of disability (Ref: Physical) Sensory Mental and Associated 0.44(0.22-0.84) 0.43 (0.22-0.80) 0.01 0.01 Asset index (Ref: 20%-80%) 20% poorest 20% richest 2.18 (1.05-4.56) 5.92 (2.57-13.63) 0.04 <0.0001 Cause of disability (Ref: Unknown cause) Known cause 3.27 (1.92-5.56) <0.0001 Year (Ref: 2005) 2013 0.23 (0.08-0.67) 0.01 Level 2 Village connec vity by a paved road (Ref: No) Yes 1.87 (0.76-4.58) 0.17 Electricity in village (Ref: No) Yes 2.27 (1.22-4.27) 0.01 District Center Distance 0.99 (0.93-1.07) 0.94 Distance to Road 0.87 (0.72-1.05) 0.16 Village connec vity by a paved road*Year (Ref: 2005) 0.17 (0.04-0.74) 0.02 District Center Distance*Year (ref: 2005) 1.05 (0.96-1.15) 0.26 AIC 611 -LL -287.51 17
  • 18. 18/03/16 – Disability and Poverty in LMICs: Some Evidence and lessons learned Concluding remarks 18 • Negative effect of disability on outcomes linked with various important elements of wellbeing in all countries: unemployment, access to health, education and poverty • in line with WHR: Major disabilities have lasting influences on well-being • Growing body of research in LMICs showing existence of barriers for persons with disabilities that are deprived of jobs and other economic opportunities and experience higher poverty and lower quality of life compared to the rest of the population. • Stigma translates in reduced opportunities is a major impediment to flourishing: low self esteem & aspirations=> issue for public policies • In such a context, what are the possibilities to enhance persons with disabilities’ “capacity to aspire” and capabilities? (Appadurai, 2004) Introduction Methods Findings Concluding remarks 18

Editor's Notes

  1. I will talk about this journey by focusing on the following First, I would like to establish a common understanding of ideas about vulnerability and development 2. Second, I would like to introduce the theoretical framework and the methods I used. I will define the CA framework and explain how to operationalize this framework. I will specifically elicit tools and methods I elaborated. 3. I will then provide some insight about how I tested the theory referring to a series of findings in the field investigating the nature of the relationship between capability and disability. In other words, how the framework has been put into practice through field research 4. How to translate these research findings into policy and practice has been a concern since I started my PhD research in Cameroon in 1994. 5. Finally, I will give 3 examples of future direction for my research
  2. Let us establish first some key terms that we will follow through the presentation.
  3. Disability is lack of capabilities: poor conversion factors and lack of agency Persons with disabilities are deprived of agency, facing deprivation resulting from a double handicap: an earnings handicap and a conversion handicap The conversion handicap refers to the extra needs and costs of living with a disability in a given environment Looks at the impact of disability on the family and community Promotes the understanding that the poverty of persons with disabilities comprises social exclusion and disempowerment, not just lack of material resources.
  4. To introduce vulnerability, I need first to introduce the Human development perspective. The human development perspective was introduced by Mabub Hul Haq through the Human Development Reports since 1990 at the United Nations Development Program (UNDP). The first report is entitled: “Development with a human face” in reaction to Economic growth first strategy For the most part, increases in GDP do little to improve well-being for the most vulnerablemembers of society My work has been an ongoing dialogue around the question of human development and vulnerability. This dialogue started with the teaching of Professor Jean Luc Dubois who was the head of our research program in Cameroon looking at social change and innovation in the country. Prof Dubois and myself thought in the mid 1990s that vulnerability was a better concept to talk about those left out of the “trickle down” effect… My work has been going on within the Human Development and Capability association (HDCA) created in 2001 of which I have been an active member since 2003.
  5. So what is vulnerability? Example of girls’ education in LIC household: when a shock occurs (health problem), they will be the first to have to leave school, care for siblings or the elderly.
  6. So what is vulnerability? Example of girls’ education in LIC household: when a shock occurs (health problem), they will be the first to have to leave school, care for siblings or the elderly.
  7. So what is vulnerability? Example of girls’ education in LIC household: when a shock occurs (health problem), they will be the first to have to leave school, care for siblings or the elderly.
  8. Severely disabled children are deprived on one half of one dimension more than non-disabled children. Moreover, the difference increases for higher cutoff values: among the most deprived children, the severely disabled are worse off than the non-disabled
  9. Whatever the cutoff, girls are found to be more deprived than boys, but the difference is significant at 10% for cutoffs of one, three or six deprivations. On average boys were deprived in just 4.8 dimensions, whereas girls were deprived in 5.
  10. Multi-level Model (level 1 at individual level; level 2 at village level) hierarchical linear model. Level 1 Overall Women with disabilities have 3.125 times less chances of going to school. In 2005: In 2013: For all children with disabilities: 4.34 times Ethnicity has to effect on access to school in CwD. Persons with mental/associated disability are 2.33 times less likely to access school than persons with Physical disability. Richest are 5 times more likely to access school than the poorest 20%. PwD with known cause are 3.27 times more likely to access school than when the cause is unknown. Level 2 2.27 times more likely to go to school if there is electricity in village. In 2013, villages connected by paved road are 5.88 times less likely to send their cwd to school than those connected in 2005 (no efforts to fight stigma, physical accessibility more complex)
  11. The CA framework was introduced by Sen to theorize Human Development (1992,1999) Sen argues that equality should be defined and aimed at in terms of the capability each individual has to pursue and to achieve well-being, i.e. to pursue and enjoy states and objectives constitutive of her or his well-being. Within this space, Sen distinguishes functionings and capabilities. Functionings are defined as ‘beings and doings constitutive of a person’s being’, such as being adequately nourished, being in good health, being happy and having self-respect, or taking part in the life of the community (Sen, 1992: 39). Capabilities, on the other hand, are capabilities to function, and they represent a person’s freedoms to achieve valuable functionings. In other words, they represent various combinations of functionings (beings and doings) that the person can achieve. Capability is, thus, a set of vectors of functionings, reflecting the person’s freedom to lead one type of life or another. (Sen, 1992: 40) Capabilities amount to the substantive freedoms a person has, or the ‘real alternatives’ available to the person herself to achieve well-being. In that respect, capability is related to well-being both instrumentally, as a basis for judgements about the relative advantage a person has and her place in society, and intrinsically, since achieved well-being itself depends on the capability to function, and the exercise of choice has value of its own as part of our living (Sen, 1992: 41, 62). The possession of commodities is valuable only to the extent that it enables the person to do or be a range of things. A commodity is considered to have “characteristics.” For instance, for a person with a spinal cord injury, a wheelchair has the characteristic of providing transportation; it does not have such a characteristic for a person who can walk. Well-being is concerned with a person’s achievement: How “well” is his or her “being”? Well-being is therefore concerned with the functionings, what a person actually achieves being or doing. Advantage refers to the real opportunities facing a person, from which the person will have the freedom to choose. The person’s “capability set” is a set of functioning vectors from which the person has the freedom to choose.