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Towards an Integrated Economic Statistics Program : The Experience of Hong Kong, China

Towards an Integrated Economic Statistics Program : The Experience of Hong Kong, China. International Workshop on Economic Census 26 – 29 July 2005 Beijing, China. Frederick W.H. Ho Commissioner for Census & Statistics Hong Kong, China. Contents.

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Towards an Integrated Economic Statistics Program : The Experience of Hong Kong, China

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  1. Towards an Integrated Economic Statistics Program : The Experience of Hong Kong, China International Workshop on Economic Census 26 – 29 July 2005 Beijing, China Frederick W.H. Ho Commissioner for Census & Statistics Hong Kong, China

  2. Contents • Purposes/uses of an Integrated Economic Statistics Program (IESP) • Components of an IESP • Features of an IESP • Achieving an IESP

  3. Purposes/Uses of an Integrated Economic Statistics Program • 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

  4. Purposes/Uses of an Integrated Economic Statistics Program • Macro-level policy formulation and decision • Identifying and consolidating key industries • Developing strategic arrangements with partner economies • Assisting new industries

  5. Purposes/Uses of an Integrated Economic Statistics Program • Determining sectoral development • Developing strategies for developments in specific economic sectors • Sectoral productivity studies

  6. Purposes/Uses of an Integrated Economic Statistics Program • Business studies • Profitable lines of business • Appropriate mix of products • Optimun level of operation • Benechmaking • Firm level productivity studies • Marketing strategies • Investment decisions

  7. Purposes/Uses of an Integrated Economic Statistics Program • 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)

  8. Purposes/Uses of an Integrated Economic Statistics Program • For the Statistical Authority: facilitating coherence of statistical development • Users’ needs better met overall • More efficient use of statistical resources

  9. Components of an IESP • Trade Statistics System • Based on trade declarations and cargo manifests submitted to Customs Authority • Value, volume, prices • Origin and destination of goods

  10. Components of an IESP • 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

  11. Components of an IESP • Economic census/survey program • Annual economic censuses/surveys • Sub-annual economic surveys • Co-ordinated approach in the development of annual and sub-annual economic surveys

  12. Components of an IESP • 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

  13. Components of an IESP • Closely associated programs • Labour Statistics Program • Population and Demographic Statistics Program

  14. Features of an IESP • Basic design • Component systems operated in accordance with recommendations of International Organizations • Definitions • Harmonization of definitions where standardization cannot be achieved

  15. Features of an IESP • 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)

  16. Features of an IESP • Data Sources • Administrative records • Economic censuses/surveys • Geographical demarcations • Enabling the building block approach where different demarcations are desired by different user groups

  17. Features of an IESP • 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

  18. Achieving an IESP • Well co-ordinated statistical institutions • Good communication with potential users and raw data suppliers

  19. Achieving an IESP • Close communication with International Orgainzations • Understanding and adopting current standards • Contributing to the establishment and evolution of standards

  20. Achieving an IESP • 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

  21. Achieving an IESP • 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

  22. Thank You

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