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Bringing the Future into Focus
SNA and SEEA and Transforming Global and National Statistical Systems for
Monitoring SDG Indicators
Ivo Havinga, Assistant Director United Nations Statistics Division
Inter-Regional Workshop
Experience and Lessons Learned from ECOSOC National Voluntary Presentations
Kingston, Jamaica
Outline
1. Integration of Statistical Systems
From silos to a standards-based integrated approach
2. National Perspectives on Integration of Environmental-Economic Statistics
SNA and SEEA: The conceptual framework for integration
SNA and SEEA: Conceptual framework
SNA and SEEA: The statistical framework for producing high quality SDG
indicators
3. International Perspectives on Integration of Statistics
Methodological consistency for an integrated monitoring architecture
National ownership of SDG indicators and consolidation of reporting
4. Roadmap: Towards an standards-based integrated approach
1. Integration of Statistical Systems
From policy and statistical silos to integrated policy and statistical agenda
Policy: The SDGs represent important moves
towards an integrated policy agenda
Institutions: Need to develop common
integrated policy frameworks at both the national
and international level to support policy
Statistics requires integration of:
• National Statistical Systems for an
integrated information system to inform
sustainable development based on a
consistent conceptual framework
• Global Reporting Mechanisms to reduce
overlap and streamline international
reporting initiatives based on a consistent
conceptual framework
Indicators
based on Standards
Higher quality
International comparability
Comprehensive basis for (dis)aggregation
Statistical Standards
Aligned Definitions and Classifications
Improved capacity to compare and/or combine statistics from
different sectors
Basis for coherent and comprehensive data sets
6
Frameworks
to coherently
integrate
information:
Standards-based Integration
2. National Perspectives on Integrated Statistics
Multi-dimensional policy needs and integrated statistics
Policy Needs:
• Multi-dimensional decision making requires a better
understanding of interlinkages and trade-offs.
Statistical Response:
• Develop an integrated information system. At the national
level this requires:
1. A conceptual framework for integration (i.e. the SNA and
SEEA)
2. Institutional mechanisms for integration
3. Integration of statistical production process
9
SNA and SEEA: Conceptual Framework
2. “Harmonizing Basic Data”: Application of
statistical standards to reconcile divergent
methodologies
3. “Seeing the overall picture and how things fit
together in detail”: Organizing data into accounts for
‘systems level’ understanding of the environment
4. “Getting an Overview of the Picture”: Headline indicators
derived from SEEA-aligned Information for an indication of
developments in environmental issues
1. Fragmented Social, Environment
and Economic Data: Data collection
dispersed across agencies using
different methodologies
An international standard to measure the environment and it’s
relationship with the economy:
10
Economic
statistics
IT processes etc.
Dissemina-tion
Analysis
Processing
Surveys and Admin
sources
Registers and frames
Meta-Data and
Standards
Social statistic
s
IT processes etc.
Dissemina-tion
Analysis
Processing
Surveys and Admin
sources
Registers and frames
Meta-Data and
Standards
Environment
al statisti
cs IT processes
etc.
Dissemina-tion
Analysis
Processing
Surveys and Admin
sources
Registers and frames
Meta-Data and
Standards
SNA and SEEA Accounts
and Indicators
Data Integration
Data Processing
Data Collection
Economic
Statistics
Social
Statistics
Environme
ntal
Statistics
Statistical Infrastructure
Standards and Methods:
SNA and SEEA
Specialized
corporate
services
The SEEA and SNA contribute to a systems architecture made up of common
institutional and statistical structures to support statistical production processes
SNA and SEEA: Common Statistical Architecture
Economi
c
Environment
al
Sociocultur
al
Sector/
Industry
n
Sector/
industry 1
Total
Sectors by land, water, energy, CC, SCP,
etc. and Industry by agriculture, industry,
services
DIM
EN
SIO
NS
OF
SU
STA
INA
BIL
ITY
in
mo
neta
ry a
nd
ph
ysic
al
term
s
SCALE
OF
ANALYSI
S
Regiona
l
Nationa
l
Local
National Statistical Information System:
a Cube
Economi
c
Environment
al
Sociocultur
al
Visitors Non-
visitors
Total
Regiona
l
Nationa
l
Local
ACTIVITES OF
PERSONS
DIM
EN
SIO
NS
OF
SU
STA
INA
BIL
ITY
SCALE
OF
ANALYSI
S
An Example: National Tourism Information
System - a Slice of the Cube
Economi
c
Environment
al
Sociocultur
al
Science Policy Statistics
Regiona
l
Nationa
l
Local
Interface
DIM
EN
SIO
NS
OF
SU
STA
INA
BIL
ITY
SCALE
OF
ANALYSI
S
Policy, Science and Statistics
Interface
National Adaption of Statistical Information System
Completing the National Information System
Statistical Frameworks and Indicator Frameworks are distinct but complementary
• Statistical Frameworks (i.e. SNA and SEEA):
> Guide the whole statistical production process through a
systems approach to collecting, process and disseminate
• Standard definitions, classifications and related methods for compiling
statistics
• Lends rigor to the calculation of indicators without suggesting any in
particular
• Value proposition is ensuring indicators are defined and compiled in a
methodologically coherent way, through an efficient production process
• Indicator Frameworks (e.g. SDG indicators): Provide
organizing principles to facilitate the choice of indicators for
different thematic aspects of sustainable development
3. International Perspectives on Integration of Statistics
Integrated Architecture of SDGs: Methodological Consistency
• Architecture of integrated global, (sub-)national, and thematic
monitoring requires methodological consistency across
themes and levels of monitoring.
• The SEEA can be the methodological basis for this:
SNA and SEEA: Streamlined Reporting for SDGs • Methodological Consistency resulting from implementation of the SEEA
reduces reporting burden of national ministries/agencies:
• Single Data System to Inform Indicators
• Data Compiled Once for Many
Purposes
• Reduced need for countries to make
arduous data adjustments for
international reporting
Facilitates streamlined reporting process for
global SDG Indicators
• Consistent definitions, classifications
and spatial units at national and
international level allows for direct
transmission of information
Common Interface
National Statistical
System/Office
based on SEEA and SNA
MINISTRY 1 I MINISTRY 2 I MINISTRY 3
INTERNATIONAL AGENCIES’ REPORTING
INITIATIVES
4. Roadmap: Towards SNA and SEEA Implementation
Sector Strategies and
Plans Water
Health
Education
Economy
Fisheries
Forests
Energy
Biodiversity
Climate
Change
Oceans / Marine
Resources
Tourism
Rural Development Disaster
Reduction
Vision
National
Developmen
t Goals
National Economic Development Plan /
Planning and Budgetary Processes
A National Information System to Support
Integrated Planning and Budgetary Process
Supporting Evidence
Water Energy Economy
Climate
Change
Forests
Agriculture
Biodiversity Etc. Etc..
Sector statistics
Tourism
Integrated Information System
SNA and SEEA
Presenting integrated economic, environmental, and
social dimensions
Ocean/Marin
e resources Agriculture
Trade Fisheries 25
Stages of public financial management
Planning
(National and sectoral plan,
project identification,
evaluation and ranking
Budgeting with performance indicators –
financing and budgeting
Implementation – procurement and
monitoring of indicators
Auditing
Roadmap: Global Statistical Community
1. Reflecting the SNA and SEEA in the SDGs;
• Indicators are based on proposals by experts in given thematic areas
• Where relevant, existing monitoring mechanisms should work to align with
the Statistical Standards
• Where new mechanisms are being set up, they should be established in
alignment with the Statistical Standards
2. Reflecting the SNA and SEEA in the thematic indicator
sets;
• Further adoption of SNA and SEEA as underlying statistical framework to
support policy frameworks (e.g. SCP, Water, Biofin, Aichi targets, etc.)
• Common message and approach to in-country work
• Alignment of established reporting to Statistical Standards over time
Roadmap: National Implementation Two processes must take place in tandem to support:
1. National ownership of information for integrated decision
making and international reporting:
2. Alignment with International Statistical Standards and
implementation of the SNA and SEEA
Transition towards SNA and SEEA
approach
Transition towards national ownership
Generic Institutional Framework for National Information System
29
High Level Steering Committee on Sustainable
Development Members: Planning, Finance, Environment, NSO
Terms of Reference: Direct work of Technical Committee
- Link to policy priorities
- Integrate and advocate work plan with national and international work
- Coordinate proposals for funding; Allocate resources
Technical Committee Members: Planning, Finance, Environment, NSO, Geospatial, Parks, Natural Resources, Agriculture,
Foreign Affairs, Research Terms of Reference: Coordinate technical aspects of work
- Internalize activities into planning documents
Subject-matter working groups Land, Water, Energy, Agriculture, Biodiversity &
Ecosystems Terms of reference: Inventory, acquire and develop
data
- Design specific accounts, tables and indicators
- Coordinate with functional working groups to design
and manage information system
Functional working groups Policy: prioritize indicators and link to policy
Spatial: integrate spatial data, maintain standards
Data standards and dissemination: Lead design of
information system, maintain standards and
classifications, lead development of dissemination
outputs
Interactions among working groups along common statistical architecture
30
Subject Matter Groups:
1. Land, Water and Carbon
2. Biodiversity & Ecosystems
3. SEEA-CF
4. Policy Working Group
Functional Working Groups:
5. Spatial analysis
6. Data, standards and
dissemination
Priority
setting
Lead priority
setting
Contribute
selection of
priority
accounts and
indicators
Contribute
establishment
of data sharing
agreements
Design and
build
Recommend
indicators,
specify
requirements
Inventory data,
design
accounts,
specify
requirements
Lead design
and build of
information
system
Collection and
Processing
Ensure focus on
indicators,
Ensure
requirements
are met
Lead
collection and
processing of
data; monitor
data quality
Support
classification
and
organization
Analysis and
Dissemination
Review outputs;
Lead writing to
ensure policy
relevance
Lead
compilation
and analysis
of accounts;
create outputs
Support (create
maps, process
data)
Evaluation
Lead
evaluation
Review
process
Lead data
quality and
process
assessment
GSBPM stage Statistical Production Model
THANK YOU [email protected]