-
Home
-
European Projects
-
BLUE-Enterprise and Trade Statistics (BLUE-ETS)
BLUE-Enterprise and Trade Statistics
(BLUE-ETS)
Start date: Apr 1, 2010,
End date: Mar 31, 2013
PROJECT
FINISHED
BLUE-ETS is a project on official business statistics and, specifically, on one of EU NSIs key challenges; that is, providing high quality and robust statistical information, for better policy and socio-economic research, and to support the renewed Lisbon Strategy, while: (1) reducing the response burden; (2) simplifying and setting priorities; (3) cutting costs on enterprises, that stem from red-tape, over-regulation and duplications; (4) modernizing and re-engineering the methods for the production of statistics; (5) making data collection less burdensome and providing more information . Along with the principles of subsidiarity and proportionality, BLUE-ETS key aim is to support and contribute to the success of the EU Commission Communications MEETS Decision including Better Regulation for Growth and Jobs in the European Union; Action Programme for Reducing Administrative Burdens in the European Union; and the Reduction of the response burden, simplification and priority setting in the field of Community statistics. Accordingly, BLUE-ETS is expected to contribute to the success of the EU MEETS Decision. Accordingly, the project is tailored on MEETS objectives, especially to “better and more-cost-effective statistics”, by (1) Distilling and spreading “EU-wide” frontier knowledge, stemming from different EU NSIs’ lessons from experience, on how to address common issues, which would allow to share problems, which are akin and involve applying knowledge in both collecting, producing and making available business statistics to governments and the public at large; (2) Learning from each other as to how “chart best” a common strategy and a road to cost-effectively and successfully address the MEETS challenges, without repeating mistakes; (3) Converging towards a coherent, common or compatible, cost-effective and efficient “EU state of the art” or “best practice” in Business Statistics.