Registers, micro-data linking and MNEs in business statistics
Sector: Residential • Location: Hungary
Source: EU Funding & Tenders Portal
The operation of Multi-national Enterprise Groups (MNEs) poses significant challenges in the production of both national and EU statistics. Double counted or missing entities threaten to distort NA and business statistics significantly. Therefore, the proper and harmonized handling of MNEs in the business registers is crucial for the production of comparable and reliable statistics. At this point
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The operation of Multi-national Enterprise Groups (MNEs) poses significant challenges in the production of both national and EU statistics. Double counted or missing entities threaten to distort NA and business statistics significantly. Therefore, the proper and harmonized handling of MNEs in the business registers is crucial for the production of comparable and reliable statistics. At this point the cooperative work of the EU member states, the experiences gathered while participating in a project like the present one (using the Interactive Profiling Tool) and the sharing of the experiences on the cooperation with the different statistical domains in the NSIs is considered to be mutually beneficial for the producers national and EU statistics. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
