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Business Demography Indicators for the euro area

Business Demography Indicators for the euro area. Heinz Dieden European Central Bank – DG Statistics. OECD Structural Business Statistics Expert Meeting 10-11 May 2007, Paris. 1. Introduction. Why ECB interest in statistics on enterprise demography?

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Business Demography Indicators for the euro area

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  1. Business Demography Indicatorsfor the euro area Heinz Dieden European Central Bank – DG Statistics OECD Structural Business Statistics Expert Meeting10-11 May 2007, Paris

  2. 1 Introduction Why ECB interest in statistics on enterprise demography? • Dynamics of economic branch (e.g. IT industries) • Employmenteffects • Climate ofentrepreneurship • Competitionamong economies • Short-term and structural analysis • NO euro area dataavailable for this purpose

  3. 2 Initiative of the WGGES Working Group on General Economic Statistics • ECB and all EU National Central Banks (NCBs) • Co-ordination with Eurostat 2005: work on5 business demography indicators • Eurostat definition as targets: • Enterprisebirthsof which:real births • Enterprise deathsof which:bankruptcies • Stockof enterprises • Breakdown forNACE A6 categories

  4. 3 Results from the stocktaking (1) Euro area country coverage rates 1) Includes stock data for Italy on bankruptcies, the country coverage excluding Italy is 78.5%.

  5. 4 Results from the stocktaking (1I) • Timeliness (for larger countries) • Quarterly data: 1-3 months • Annual data: 2-6 months • Sources • Administrative register or statistical business register maintained by the NSI • For IT and AT: chambers of commerce •  Therefore data meet national quality standards and are validated for publication

  6. 5 Results from the stocktaking (III) – Euro area

  7. Quarterly enterprise births (annual percentage changes) 6

  8. 7 Conclusions (I) Two datasets – two approaches Eurostat • Legal framework • Harmonised methodology and data • No euro area data yet; annual frequency; timeliness WGGES/ECB • Available national data (often non-harmonised) • Annual and quarterly data • Higher timeliness

  9. 8 Conclusions (II) Based on national, non-harmonised data: • First euro areaestimates for some indicators • Enterprise births:annual and quarterly • Bankruptcies:annual • Stock of enterprises:annual First euro area aggregatesare encouraging and are aunique dataset

  10. 9 Conclusions (III) • Eurostat data and WGGES datacomplement each otherin many aspects: • Timeliness • Frequency • Availability • Where available, harmonised Eurostat data is usedplus WGGES data • Euro area breakdowns according toNACE A6not yet possible

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