Special Session for the countries in Eastern Europe, Caucasus, Central Asia and South East Europe Geneva, 6 May 2014 UNSD Developing a Programme on Integrated.

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Presentation transcript:

Special Session for the countries in Eastern Europe, Caucasus, Central Asia and South East Europe Geneva, 6 May 2014 UNSD Developing a Programme on Integrated Statistics in support of the Implementation of the SNA and SEEA

Outline of Presentation  Introduction  2008 SNA implementation  Integrated statistics approach  Business model  Mechanisms to support implementation of an integrated statistics programme  Conclusions  Way forward

Introduction  Despite progress in a number of countries, many developing countries are long way from implementing the 2008 SNA and the introduction of SEEA  Lack of resources at the national level—along with inadequate statistics management and communication strategies—have hindered 2008 SNA implementation.  Addressing these issues require an integrated statistics approach.  Institutional arrangements at both the national and international levels are important for management of integrated economic statistics.

 International level Objective ▫Change over to the 2008 SNA; ▫improve scope, detail and quality of the national accounts and supporting economic statistics To identify the required actions for implementation Principles ▫strategic planning ▫coordination, monitoring and reporting ▫improving statistical systems Developing an implementation plan for the SNA

 International level - Operationalise 2008 SNA implementation ▫Strategic planning framework: NSDS as the strategic planning framework ▫Information structure: based on the integrated economic statistics approach (standards, statistical production process, institutional arrangements) and internationally agreed scope (MRDS) and compliance for the national accounts and supporting economic statistics ▫Modalities: Training and technical cooperation, publication of manuals and handbooks, research and advocacy ▫Stages of implementation: leading to the change over to the 2008 SNA. Review, Adaptation and Application. Developing an implementation plan for the SNA

 National level Identify the macro economic policy needs to determine the scope and detail of the NA that needs to be compiled To prepare for an assessment of the adequacy of the statistical production process to provide the required data for the compilation of the NA To identify the required actions for implementation To develop a statement of strategy Developing an implementation plan for the SNA

 Is an important documentation detailing steps and resources required to improve scope and detail of economic statistics with a view to producing timely, comparable national accounts statistics which fully meets the user needs as well as complies with the international standards.  Requires agreement by the national statistical system (data producer, provider and user), high political support and donor consultation  Basis for formulating a national implementation programme  Basis for actively seeking funding for implementation programmes from own sources and donors Statement of strategy

 Regulatory and institutional framework – strengthening the functioning of NSS, its programming, management and performance  Statistical infrastructure – strengthening of use of standards (2008 SNA), classifications (ISIC Rev 4), registers and frames, modernizing information management and information technology  Statistical operations – strengthening of data collection, compilation, dissemination and analysis Required actions 8

Integrated Statistics Approach  Development of an integrated approach encompasses: policy- use perspective, institutional and regulatory aspects, and operational and infrastructural aspects.  SNA and the SEEA as the overarching macroeconomic framework.  Based on Fundamental Principles of Official Statistics, country ownership based on national priorities, adopting results based management, and statistical capacity building.  Move away from a narrow functional view to a holistic view; and a move from ad hoc indicator approach to an approach where indicators are compiled from integrated set of statistics and macro accounts.

Benefits of an integrated statistics approach  A common statistical business architecture that governs the statistical production process over time and across countries;  Coherent statistics: covering business and household statistics, short term statistics, national accounts and international statistics;  Statistical production processes are cost effective, including their institutional arrangements and managements. Increased transparency.  The integration of the data collection procedures reduce response burden on respondents ; and  The opportunity to seek collaboration in the development and application of common methods and IT tools for data processing, documentation and exchange.

Business Model  Generic Statistical Business Process Model (GSBPM) to guide the development of work on integrated statistics.  Fully aligned with Generic Statistical Information Model (GSIM) and provides a basis for the implementation of the Common Statistical Production Architecture (CSPA).

Conclusions  There is a need to shift away from ad-hoc development of indicators and capacity development towards development of integrated information at the country level.  Systematic development of an agreed set of statistics based on internationally agreed macroeconomic and environmental-economic accounting framework can help achieve that goal.  Piloting in limited number of countries – operationalising integrated statistics approach in national capacity building programme in 2008 SNA implementation

Thank you