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Registers, MNEs and consistency in business statistics

Sector: Government • Location: France

Source: EU Funding & Tenders Portal

Project
Forthcoming

"Registers, MNEs and consistency in business statistics. European profiling is a partnership between European NSAs aiming at better understanding large Multi-National Enterprise Groups (MNEs) structures, economic organizations and at defining enterprises within these groups. European profiling increases the data quality of the largest and most important MNEs in national Statistical Business Regist

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Project Information

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The project “Registers, MNEs and consistency in business statistics” is an infrastructure initiative in the Government sector, located in France. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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forthcoming

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Description

Description

"Registers, MNEs and consistency in business statistics. European profiling is a partnership between European NSAs aiming at better understanding large Multi-National Enterprise Groups (MNEs) structures, economic organizations and at defining enterprises within these groups. European profiling increases the data quality of the largest and most important MNEs in national Statistical Business Registers and in the EuroGroups Register. In this respect, Insee applies to the present 2025 GA for area 1 ""European profiling on the structure of the Top tier MNE groups"" - Module 1.1 ""European profiling on the structure of the Top tier MNE groups (GDC and partner profiling)"", targeting the following objectives: - Strengthen and broaden the use of European profiling in Insee and relations with other NSAs when cross-border information is necessary ; - Ensure accurate understanding of the global economic structures which are present in France, as GDC or not ; - Develop cooperation with national clients, for example with national accounts or macroeconomic statistics and studies, in relation with MNEs impact on economy ; - Increase the quality of the French business register and consequently the EGR ; - Concerning relevant events of restructuring, strengthe statistical processes linking NSBR and EGR in the context of LCU objectives under a more sytematic approach of MNEs. "

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Source reliability

High

Data quality score

100%

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