Towards an Integrated Economic
Statistics Program :
The Experience of Hong Kong, China
Frederick W.H. Ho
Commissioner for Census & Statistics
Hong Kong, China
International Workshop on Economic Census
26 – 29 July 2005
Beijing, China
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1.
Purposes/uses of an Integrated
Economic Statistics Program (IESP)
2.
Components of an IESP
3.
Features of an IESP
4.
Achieving an IESP
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Purposes/Uses of an Integrated
Economic Statistics Program
(a) Economic analysis
Enabling macro-economic and micro-economic analysis
Performance of the overall economy, the external sector, the domestic sector, the financial sector, the labour sector and prices
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Purposes/Uses of an Integrated
Economic Statistics Program
(b) Macro-level policy formulation and decision
Identifying and consolidating key industries
Developing strategic arrangements with partner economies
Assisting new industries
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Purposes/Uses of an Integrated
Economic Statistics Program
(c) Determining sectoral development
Developing strategies for developments in specific economic sectors
Sectoral productivity studies
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Purposes/Uses of an Integrated
Economic Statistics Program
(d) Business studies
Profitable lines of business
Appropriate mix of products
Optimun level of operation
Benechmaking
Firm level productivity studies
Marketing strategies
Investment decisions
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Purposes/Uses of an Integrated
Economic Statistics Program
(e) For the Statistical Authority: an aid to data quality control
Achieving consistency of statistics from different statistical systems/programs
Identifying data problems where inconsistencies exist (or appear to exist)
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Purposes/Uses of an Integrated
Economic Statistics Program
(f) For the Statistical Authority: facilitating coherence of statistical development
Users’ needs better met overall
More efficient use of statistical resources
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Components of an IESP
(a) Trade Statistics System
Based on trade declarations and cargo manifests submitted to
Customs Authority
Value, volume, prices
Origin and destination of goods
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Components of an IESP
(b) National accounts/BoP/Monetary statistics system
Banking and monetary statistics derived from administrative records
GDP/GNP/BoP statistical systems based on data from different economic surveys/statistical systems and other sources
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Components of an IESP
(c) Economic census/survey program
Annual economic censuses/surveys
Sub-annual economic surveys
Co-ordinated approach in the development of annual and subannual economic surveys
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Components of an IESP
(d) Prices
Consumer price indices from monthly Price
Survey
Producer price indices from Quarterly
Survey of Industrial Production and
Quarterly Survey of Services Industries
Import/export unit value indices and terms of trade from Trade Statistics System
GDP deflator from national accounts statistical system
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Components of an IESP
(e) Closely associated programs
Labour Statistics Program
Population and Demographic
Statistics Program
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Features of an IESP
(a) Basic design
Component systems operated in accordance with recommendations of International
Organizations
(b) Definitions
Harmonization of definitions where standardization cannot be achieved
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Features of an IESP
(c) Classifications
Common classification used as far as possible (e.g. Hong Kong
Standard Industrial Classification)
Statistics compiled based on alternative classifications to meet specific user needs (e.g. the electronics industry)
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Features of an IESP
(d) Data Sources
Administrative records
Economic censuses/surveys
(e) Geographical demarcations
Enabling the building block approach where different demarcations are desired by different user groups
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Features of an IESP
(f) Interlocking nature of component systems
Each system produces output data which may be used by both final data users and some other systems as input data
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Achieving an IESP
(a) Well co-ordinated statistical institutions
(b) Good communication with potential users and raw data suppliers
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Achieving an IESP
(c) Close communication with
International Orgainzations
Understanding and adopting current standards
Contributing to the establishment and evolution of standards
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Achieving an IESP
(d) Dual approach
Bottom-up approach : reconciling existing systems
Top-down approach : conceiving an ideal overall program and bringing down to earth a realistic blue-print which features a balanced program
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Achieving an IESP
(e) Priorities consideration
Constraints in financial resources and technical resources
Survey respondents’ burden
Don’t be over-ambitious : should consider the capacity of component systems carefully
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