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How do you measure the concept of poverty?
BRAC Experiences
Syed Masud Ahmed MBBS, PhD
BRAC Research and Evaluation Division
2
Discussion topics
Introduction
Setting the context: BRAC
BRAC’s concept of poverty
Measuring the concept of poverty
Summing up
3
Tubeculosis: Bangladesh Scenario(WHO estimates per 100,000
population, 2004)
Ranks 5th among world’s 22 high-burden disease (WHO)
Incidence of all TB cases: 221 Incidence of new smear+ve cases:
99 Prevalence of smear+ve cases: 188 TB mortality of all cases: 52 MDR among new cases of TB: 1.4%
4
BRAC
Indigenous NGO working with the twin objectives of
•Alleviation of poverty and
•Empowerment of the poor
http://www.brac.nethttp://www.bracresearch.org
5
BRAC”s TB Programme
Community based DOTS programme with CHWs at the nucleus
Partnership with GoB and NGOs Recipient of GFATM since July 2004 Coverage: 82 million (2/3rd of the
population) Average case detection rate: 44% (2004) Treatment success rate for new
sputum+ve cases: 89% (2003)
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• Cost-effectiveness of community health workers in tuberculosis control in Bangladesh.Bull World Health Organ. 2002;80(6):445-50.
• Success with the DOTS strategy.Lancet. 1999 Mar 20;353(9157):1003-4.
BRAC”s TB Programme
7
Relevance of poverty measurement in TB control
programme
Poor are more vulnerable Equity: ‘inverse care law’ Making DOTS pro-poor Income-erosion effect of illness Poverty reducing effect of TB
control programme
8
BRAC’s concept of poverty: “Lack of an enabling environment”
“Minimum” income and employmen
t
Entitlement to food & “safety
net”
Access to
housing
Institutional mechanism for savings
and credit
Enabling environment
Investible surplus
Power (to fight
exploitation)
Human rights and
their
enforcement
Access to appropriate technology
Gender equity
Access to health
care
Institutions of the poor
Access to education
Entitlement to assets (such as
land)
9
Dimensions of poverty measurement
Economic Lack of income or employment
Non-economic Lack of entitlement to basic
necessities of life
Poverty is increasingly seen as a multi-dimensional phenomenon
10
BRAC’s targeting criteria for identifying the poor households
Households possess ≤50 decimals of land
Sells manual labour for at least 100 days a year for subsistence Labour-selling HHs represent low SES
given their dependence on variable seasonal employment
11
Self-rated poverty status of HH
Respondent’s perception about the state of HH’s annual expenditure in relation to income during the referral period (say, past one year) Always deficit Occasional deficit No deficit
a valid indicator of HH stratification in rural Bangladesh, used by poverty researchers
12
Challenging the MC/MF paradigm
Empirical evidence (from BRAC’s own and other development practitioners) showed that micro-credit programmes failed to reach the ‘poorest of the poor’/’ultra-poor’ for various reasons
Heterogeneity of the poor Customized programme needed
for different sections of the poor
13
CFPR/TUP (Challenging the Frontiers of Poverty Reduction/Targeting the Ultra-Poor) Programme of BRAC
”To enable ultra-poor attain a level of sustainable development so that they can participate in and benefit from mainstream (including microcredit-based) development interventions”
Grants-based productive asset transfer
Subsistence allowance and skill-training
Health inputs to mitigate income-erosion effect of illnesses
14
How to target the ultra-poor households ?
Based on experiences of working with the poor/review of poverty literature and empirical evidence
Inclusion criteria
Exclusion criteria
15
Inclusion indicatorsIndicators Rationale
Land owned by household ≤ 10 decimals including homestead land
Landlessness and extreme poverty highly correlated, though not all landless are extreme poor
No adult working man in household
Absence of able bodied male labour power is an important characteristic of extreme poor households
School-going aged children working
Child labour is predominant in extreme poor households
Adult woman selling labour Adult woman selling labour is more prevalent in extreme poor households; signals desperation and motivation of the household
No productive assets Extreme poor households tend not to own any productive assets
16
Exclusion indicators
Indicators Rationale
Any member of the household has current NGO participation
Targeting those extreme poor who do not/cannot participate in existing NGO programme
Any member of the household receives benefit from GoB programmes
Targeting those extreme poor who do not/cannot participate in existing GoB programme
No physically able adult woman in household
This is a women-targeted enterprise programme
17
Poverty measured as shortfall in fulfillment of basic needs: Basic needs approach
Basic needs Food Clothing Shelter Health Education Social involvement
18
Basic needs approach: steps
Items representing various dimensions selected
Four items per dimension All items have three answers
3 for highest level 1 for lowest level
Total poverty score range: from 24 to 72 The higher the score, the poorer the HH
19
An example: lack of health
How frequently do the HH members on average suffer from illness or ill health?
In case of illness of the HH members, how often an allopathic doctor is contacted?
In case of diarrhoeal illnesses of the HH members, how frequently ORS is administered
How common it s to wash hands with soap after defaecation among the HH members?
Scoring:1=quite frequently/most of the time (more than half); 2=sometimes; 3=once in a while/never
20
Conclusion:
It’s possible to conceptualize poverty from non-economic dimension
Very simple, easy to use and valid indicators can be developed to measure the concept of poverty
Useful approach for targeting particular poverty group