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Item 2.4 OECD 2006 Draft Report Comparative Data Table

Item 2.4 OECD 2006 Draft Report Comparative Data Table. Purposes: to calculate initial estimates to stimulate debate at the international level to undertake a practical assessment of the difficulties involved Compiled during April/July 2006 (refer to pages 2 and 3 of the Room Document).

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Item 2.4 OECD 2006 Draft Report Comparative Data Table

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  1. Item 2.4OECD 2006 Draft ReportComparative Data Table • Purposes: • to calculate initial estimates • to stimulate debate at the international level • to undertake a practical assessment of the difficulties involved • Compiled during April/July 2006 (refer to pages 2 and 3 of the Room Document)

  2. Overview of Procedure • UK Creative industries and the Canadian FCS provided the starting point for the categories • Expressed in multiple industry standards • Data extracted from (or supplied by) official data sources • Tables referred to national agencies for comment and approval

  3. Selection of categories • Comparison of existing published frameworks(UNESCO FCS, Canadian FCS, Eurostat LEG, UK DET and Creative Industries, Australian ACLC) • Most frameworks use a 2-dimensional matrix (refer to pages 4 and 5 of the Room Document) • Available data tended to be concentrated at the creation/production end of the chain

  4. Selection of categories • Practicality dictated use of a pragmatic approach • 1-dimensional approach very similar to the UK DCMS “creative industries” frame

  5. Bridging the Classifications • Started from the UK SIC • Two way process: • UK SIC→NACE→ISIC→NAICS • NAICS→ISIC→NACE→UK SIC • Published concordance tables were used • Followed by a stand-alone review of and comparison with entire NACE, ISIC and NAICS

  6. Filling the grid • Official national sources were used in all cases • For Australia Canada and UK, published national statistical data were used • For France, data were supplied by the DEP (Ministry of Culture and Communications) • For USA, raw data were downloaded from the Census Bureau website and table entries were entirely constructed by OECD

  7. Adjustments • Allocation factors were required for classes which contained both cultural and non-cultural components • Applied those developed for and by the UK DCMS • In several cases only “gross output” type measures were available • Value added/Production ratios applied • These were derived from parallel sources and were not always available at the full level of detail

  8. Advice sought • Data tables dispatched to national statistical agencies • Comments and more recent data incorporated

  9. Findings • “The devil is in the detail” • Very real problems with cross-continent comparability • Lack of published value added measures at the level of detail required • Best done by countries? • Which demands an acceptable, well-defined framework at the broadest international level • And systematised collection of data at the national level to the appropriate level of detail

  10. Finally • Culture, even narrowly defined, accounts for 3 per cent GDP • It can reach 5+ per cent • Culture is a significant part of the economy

  11. Questionnaire on Culture Statistics Practices • Replies received from: • AUS, AUT, CAN CZE, FIN, FRA, DEU, HUN, IRL, JPN, MEX, NLD, NZL, POL, PRT, ESP, SWE, CHE, TUR, UKM (refer to page 7 of the Room Document) • Synthesis paper will be circulated before the end of the year and original responses put on the meeting website

  12. Questionnaire: to summarise • Countries with an integrated culture statistics programme: • CAN, FIN, LUX, MEX, NZL, PRT, TUR • DNK, IRL are at the planning stage • Countries with a culture statistics framework: • AUS, AUT, CAN, FIN, HUN, LUX, MEX, NLD, NZL, PRT, ESP, CHE, UKM • Countries considering a Culture Satellite Account: • FIN, MEX • NZL already has a partial account

  13. Thanks…… • To the national contacts • And Barry Haydon of ABS

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