Maurizia Tovo, Lead Social Development Specialist, World Bank

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Transcript Maurizia Tovo, Lead Social Development Specialist, World Bank

CHILD BEGGARS IN DAKAR
CONTEXT
 The perception that there are increasing numbers of child
beggars on the streets of Dakar
 Begging is detrimental to the physical and mental
development of a child
 Government engagement in the fight against begging by
children
2
OBJECTIVES OF THE
STUDY
• Establish a solid information base through a quantitative and
qualitative study
• Assess the dimensions of the phenomenon
• Analyse child beggars’ characteristics and life conditions
• Propose strategic options to accelerate and strengthen
national efforts against child begging
3
ORGANIZATION OF THE
STUDY
 Technical Team: UCW Rome, FAFO, ENEA,
and 3 NGOs (Avenir de l’Enfant, ENDA GRAF
et Samusocial)
 Steering Committee : Government, Civil
Society, Partners (legitimacy, technical support,
supervision– from questionnaire development to
report validation)
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THE METHODOLOGY OF THE STUDY: CHILD
BEGGARS IN DAKAR
The target group: Child beggars in Dakar
Children in the
streets
Children
from the
streets
Handicapped
children
Child
beggars
Children living
with their families
Talibés
Children with
disableded adults
5
THE METHODOLOGY OF THE STUDY: CHILD
BEGGARS IN DAKAR
Obstacles to data collection:
• Few child beggars compared to overall population (would require
an enormously large sample to find enough subjects)
• Child beggars move around (risk of counting the same child more
than once)
• Child beggars may hide
 Child beggars constitute a ‘scarce’ and ‘difficult to
access’ population
6
Two sampling methods
 Capture-recapture (CR):
To measure the size of the population.
 Respondent-driven sampling (RDS):
To obtain data on the characteristics of the
population.
THE METHODOLOGY OF THE STUDY: CHILD
BEGGARS IN DAKAR
CAPTURE-RECAPTURE (CR)
The CR methodology allows for an estimatate of
population size where an exhaustive census is
impossible
Example: fish in a lake
 You throw a fishing net into a lake, catch fish, and mark
them before letting them go
 Re-catching : you throw the net back in and observe
how many fish are already marked and how many are
not marked
8
Data collection:
THE METHODOLOGY OF THE STUDY: CHILD
CAPTURE-RECAPTUREBEGGARS
cont’d IN DAKAR
4 hypotheses:

The study population is closed;

Each person has a non-zero chance of being
captured;

People already surveyed can be identified
precisely; and

Having been caught does not have any
correlation
with the probably of being recaught.
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CR method
Prepare two separate lists: Capture I and Capture II
 Count the number of persons in each list
 Count the number of persons appearing in both lists
 Population size estimates aer based on the figures obtained
Capture I Recap(Marking)
ture
Capture II
(RDS)
Capture
Make an exhaustive census of all child
beggars found at specific gathering sites
The list of sites is put together with help
from specialized NGOs
Number of children counted – CAPTURE I
Respondent Driven Sampling (RDS)
 Snow ball sampling to identify populations
hidden or difficult to access
 Double motivation for respondents
Reward for being surveyed : 1 packet of cookies
Reward for recruiting other respondents : 2 cans of
sardines
RECAPTURE
Question asked:
« Have you already been asked questions or
were you put on a list last week?».
If the answer is yes, the child is
considered « recaptured ».
RECAPTURE
Percentage of recaptured children
Estimate total population of child
beggars
(Petersons method)
N=Estimated Number

M=Child beggars counted in Capture I

C= Child beggars counted in Capture II

R= Recaptured children
(
M

1
)(
C

1
)
ˆN 
1
R 1
Estimated child beggar population in greater
Dakar
Questions
 Have all sites where children beg been
properly identified (and surveyed)?
If the process were to continue (more
waves of CR) would the estimates
change?
Results
There are about 8000 child beggars in
Dakar
 Almost 90% are Koranic students (talibés)
 Almost all are boys (98%)
 Almost half were born abroad (Guinea and
Guinea Bissau)
 Being an orphan has very little impact on the
probability of being a beggar (the proportion of
child beggars that are orphans is very low)
CHARACTERISTICS OF CHILD
BEGGARS
Ethnic origin constitutes a distinctive element among child
beggars
Soninké
Other child beggars
Koran disciples
Mandingue
Bambara
Peuhl
0
10
20
30
40
50
60
70
80
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CHARACTERISTICS OF CHILD
BEGGARS
 Child beggars are very young.
35
30
25
20
15
10
5
0
2 à 5 ans
6 à 8 ans
9 à 11 ans
12 à 14 ans 15 à 17 ans
K or ani c di sci pl es
2 à 5 ans
6 à 8 ans
9 à 11 ans
12 à 14 ans 15 à 17 ans
Ot her chi l d beggar s
2 à 5 ans
6 à 8 ans
9 à 11 ans
12 à 14 ans 15 à 17 ans
A l l chi l d beggar s
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LIFE CONDITIONS OF CHILD BEGGARS
Begging is a full-time ‘job’
 The children dedicate an average of six hours per day to
begging.
 The children are in the streets every day of the week.
10
9
8
8
5
6
6
8
6
5
8
5
0
2 to 5 years
6 to 8 years
9 to 11 years
Koran disciples
12 to 14 years 15 to 17 years
Not Koran disciples
The children that
aren’t Koranic
students spend, on
average, more time
begging than
Koranic students
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LIFE CONDITIONS OF CHILD BEGGARS
Revenues of child beggars
 97% of child beggars earn less than 1000 Francs CFA
per day (1.50 Euros)
 Child beggars who are not Koranic students earn more
than those who are
1000
900
800
726
700
600
500
411
444
400
300
200
100
0
Non Koran disciples
Koran disciples
Revenue
Average
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CONSEQUENCES OF CHILD BEGGING
Education of child beggars
School enrollment of child beggars by type of school (%)
 No child beggar goes
Child beggars
that aren’t
Koran students
Child beggars
that are
Koran
students
Average
Koranic
school
21
100
91
Fraco-arabic
school
1
0
0
Formal school
0
0
0
None
78
0
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to a formal school
 All of the child beggars
that are Koran students
go to Koranic school
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