This document summarizes a study on multidimensional child poverty in 6 districts in Papua, Indonesia. The study used data from the Multiple Indicator Cluster Surveys to identify characteristics of poor children based on indicators like access to water, sanitation, health, education, shelter, and information. It found high levels of deprivation across districts, especially in rural areas. Jayawijaya district had the highest rates of deprivation. Children from the poorest households faced much higher rates of deprivation across all indicators. The study recommends incorporating multidimensional child poverty measures into development policies and strategies in Papua to expand access to services, strengthen social protection programs, and address the challenges of geography.
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Multidimensional Child Poverty in Papua
1. Multidimensional Child Poverty
in Papua: Empirical Evidence
from 6 Districts
Erlangga Agustino Landiyanto
UNICEF Papua Office, Indonesia
Child Poverty and Social Protection Conference
10–11 September 2013
2. Rationale: Why Did We Observe
Child Poverty in Papua
? Childhood poverty is one of root causes of adulthood poverty.
? Poverty is multi-faceted and multi-dimensional and denies children
on their fundamental human rights.
? A high level of poverty and real observable challenge exist in
accessing public services in Papua.
? Limited user friendly data existed to inform government policy to
protect the poor and poorest children in Papua.
3. Research Objectives
? Identify and apply methods to better measure child
poverty in Papua
? Identify the characteristics of poor children based on
multiple indicators cluster survey (MICS) in the Tanah
Papua context.
? To provide policy recommendations with appropriate
strategies to reduce child poverty and protect the poorest
children in Tanah Papua from specific dimensions of child
poverty
5. Dimensions for Child Poverty
(Gordon et al, 2003)
? Severe Water Deprivation: Children who only has access to surface water
? Severe Deprivation of Sanitation Facilities: Children who had no access to
a toilet
? Severe health Deprivation: Children had not been immunized against any
diseases
? Severe Education Deprivation: Children aged between 7 and 18 who never
been to school (%)
? Severe Shelter Deprivation: Children in dwellings more than five person
per-room (%)
? Severe Information Deprivation: children aged between 3 and 18 with no
access to radio or television and communication (%)
8. Correlation among Child Poverty Indicators
(Children)
Water Sanitation Health Edu Shelter Info
Water 1
Sanitation .312** 1
Health .285** .262** 1
Education .246** .230** .b 1
Shelter .037** .103** .025 .073** 1
Information .296** .405** .272** .259** .129** 1
9. Deprivation Headcount of Individual
Indicators of Children (%)
Water Sanitation Health Edu Shelter Info
Merauke 12.3 7.4 3.7 2.6 10.7 11.5
Kaimana 6.8 29.6 19.1 2.9 5.8 12.4
Manokwari 3.3 20.3 17.3 2.2 5.1 10
Jayawijaya 38.7 58.1 34.9 16.2 8.8 45.5
Sorong 3.6 9.4 8.3 1.8 5.8 12
Biak 4.2 11.1 7.4 2.1 7.6 12.7
Urban 1 7.5 9.7 1.3 6.2 3.1
Rural 14.9 27.1 16.9 5.4 7.8 21.9
Total 10.5 20.9 14.5 4.1 7.3 16
10. Correlation among Child Poverty Indicators
(Households with Children)
Water Sanitation Health Edu Shelter Info
Water 1
Sanitation .348** 1
Health .287** .335** 1
Education .246** .252** .c 1
Shelter .034* .084** -.015 .084** 1
Information .303** .438** .336** .264** .110** 1
11. Deprivation Headcount of Individual Indicators
of Households (that have children)
with Poor Children (%)
Water Sanitation Health Edu Shelter Info
Merauke 10.1 5.2 2 2.9 6.3 9.3
Kaimana 6.6 27.3 11.2 3.2 4.2 11.6
Manokwari 3.2 19.4 9.2 2.9 2.8 9.2
Jayawijaya 40.0 60.9 20.4 15 6.1 42.9
Sorong 2.4 6.5 3.7 2.2 3.4 7.8
Biak 3.5 10.4 5.4 2.6 5.2 11.9
Urban 0.7 6.9 5.8 1.7 4 3
Rural 14.5 25.7 9.1 5.8 4.9 19.6
Total 10.1 19.7 8.1 4.5 4.6 14.4
16. Recommendation (1)
? Methodology
– Regards social capital, customs and culture in future research
– Identify additional non-monetary dimension that fit to Papua context.
– Integrating special protection dimensions.
– Combine monetary and non-monetary analysis (should be supported
with data availability)
? Development Strategy and Planning
– Inclusion of child poverty on poverty reduction strategic paper
– Integrated child poverty reduction on government planning document
17. Recommendation (2)
? Budgeting and Social Investment
– Improve the effectiveness of utilization of budget for health and
education
– Scaling up and improving BOSDA
– Provincial BOK
– Public private partnership for improving communication and
information
? Universal Access to Public Services
– Expanding the availability of health and education service
– Overcome distance problem
18. Recommendation (3)
? Social Protection
– Adjusting Raskin into strengthening local food
– Supplementary of BSM
– Papuan Health Cards
– Improving CCT to fit the local context