Tackling Rural Poverty - an international perspective

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Transcript Tackling Rural Poverty - an international perspective

REGIONAL WORKSHOP FOR THE
SOUTHERN AFRICAN DEVELOPMENT
COMMUNITY
Mainstreaming statistics and
sectors
by
Prof. Ben Kiregyera
AfDB Senior Consultant
14 October, 2013
Scope
1. National Strategy for the Development of
Statistics (NSDS)
2. Mainstreaming statistics
3. Mainstreaming sectors in NSDS
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1. The National Strategy for the
Development of Statistics (NSDS)
New benchmark in Statistical Planning
(Conceptualized in 2004)
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What is NSDS?
• Framework to strengthen statistical capacity
across the entire National Statistical System
National
(next slide)
strategy and • A medium-term framework for responding to
action plan
key user needs
• A robust, comprehensive and coherent
A catalyst
framework to:
for change &
• address statistical challenges
building
• mobilize & prioritise the use of
confidence
resources
through
• integrate statistics within national
ownership
policy & planning processes
• introduce & manage change (no
longer business as usual)
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Statistical value chain
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2. Integrate (mainstreaming)
statistics within national policy &
planning processes
What is being done
National
Development
Plan
Mainstreaming
National
Development
Plan
Statistics
Statistics
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3. Mainstreaming
sectors in NSDS
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Why mainstream sectors into the
NSDS?
•
a lot of development data are collected/compiled by
sectors (Agriculture, Health, Education, Labour, etc.)
(next slide)
•
sectoral issues and concerns not been given sufficient
attention in national statistics
•
statisticians from line ministries been largely isolated &
inadequately involved in discussion on capacity
building
•
sectoral component of NSS tends to be underresourced & is in need of more voice in sectors and in
NSS
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Monitoring Development
Level
Type of data
Inputs
- resources
Administrative
Process outputs
- procedures
Administrative
Program Outputs
- e.g. number of
clinics built
Administrative
Intermediate Outcome
- better access to
health services
Administrative/
surveys/
censuses
Final Outcome (Impact)
Surveys/
- improved health &
censuses
welfare (e.g. life expectancy)
Main Sources
Administrative
records
Administrative
records
Administrative
records
Administrative
records/ KNBS
KNBS
Challenges: improve and coordinate /combine data from different
sources
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Bottom-up (sectoral) approach to NSDS
NSDS
SPS
(Agric)
SPS
(Health)
SPS
(NSO)
SPS
(Edn. )
SPS - Sector Plan for Statistics



started in Uganda in 2006
since become to be regarded as “best practice”
AfDB & PARIS21 Guide on mainstreaming sectors
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Resulting NSDS will:

include a synthesis of Sector Statistics Plans
 buy-in by sectors
 ownership – one of prerequisites for effective
plan implementation
 Cross-cutting & emerging issues
“People support what they help to create”

promote policies that lead to greater harmonization
across sectors

lead to truly integrated National Statistical System
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Partially coordinated National Statistical System
Agriculture
etc
Health
NSO
Transport
Labour
Education
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Fully coordinated National Statistical System
Agriculture
etc
Health
SB
Transport
Labour
Education
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Assessment of state of sectoral data
Using Health Matrix Network Framework
Components
Scope
Resources
Policies; Financial resources; Human resources;
Communication; Coordination and leadership
Indicators
Minimum set of indicators & targets
Data sources
Types of data sources and standards
Data
management
Data definition; flow; quality; storage; linkage
Information
products
Users requirements; analysis; presentation
Dissemination
and use
Infrastructure; synthesis; packaging;
communication
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Component
Opportunities to coordinate
Agriculture
Education
Labour
Health
etc
Resources
Harmonize policies and budgets
Coordinate training/allocation of human resources
Build “communities of practice”
Rationalize the use of information technology
Indicators
Identify and standardize common indicators
Data sources
Synchronize surveys and routine data collection
Data
management
Link data dictionaries and warehouses
Build consistent data quality
Coordinate data transmission
Information
products
Analyze and present data across sectors
Synchronize reports for the same users
Dissemination
and use
Advocate with one voice
Coordinate evaluation across sectors
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Example of power of mainstreaming
NSDS in Uganda
Covers 22 sectors, 10 local governments
Before NSDS
After NSDS
Police Department
04 Statisticians
22 Statisticians
Ministry of Agriculture, Forestry & Fisheries
02 Statisticians
18 statisticians
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Thank You
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