Transcript Slide 1

EUROGROUPS REGISTER
A register on Multinational Enterprise groups
Wiesbaden 22 April 2008
Content
 The EuroGroups Register (EGR)
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Background
Objectives
Benefits
Content
Process
 State of the art of the project
 Some reflections on the future
Wiesbaden 22 April 2008
Background
 Need for figures on impact of Multi National Enterprise
groups (MNE’s) on national economies.
 How to assure an accurate measurement?
 Worldwide statistical office or ways of working based on
sharing information provided by a headquarter of an
MNE?
 A register of MNE’s: an instrument for a better
measurement.
Wiesbaden 22 April 2008
Legal basis
 Regulation (No 177/2008) of the EP and the Council on
a business register for statistical purposes
 Follow up: implementing regulations on:
– Exchange of confidential data between Eurostat and
National Statistical Institutes, National Banks and ECB
– Measures related to data quality management
Wiesbaden 22 April 2008
Objectives of the EGR
 A unique platform to organise, coordinate and support of
data collection and production of statistics on
globalisation in Member States and Eurostat
 A unique facility for integration and sharing of data from
different sources
 Facility for taking coordinated decisions on survey
frames
 A basis to produce demographic statistics on MNE’s
Wiesbaden 22 April 2008
EGR: an efficient solution
Design based on integration of data from different
sources (private as well as public)
– At least 2 private sources
(using the same commercially successful concept: integrating data
from different sources complemented with own data quality
management)
– National statistical organisations as source
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EGR: an efficient solution
Cost efficient acquisition of commercial data by central
procurement
Cost efficient development and operation of technical
infrastructure for integrating data from several sources
A standardised data model reducing communication
costs with statistical organisations as well as MNE’s
Wiesbaden 22 April 2008
EGR: an effective solution
Survey frames can be co-ordinated by facilitating
decision procedures on the basis of the subsidiarity
principle.
For Inward and outward FATS:
Ultimate Controlling Institutional unit (UCI)
Wiesbaden 22 April 2008
An example: Carnival
 Carnival Corporation (USA) and Carnival plc (UK) function as a
single economic entity (= 1 MNE) through contractual agreements
between separate legal entities
 In database of private sources: 2 MNE’s
 In Germany: AIDA
– UK = country of UCI (according to BvD)
 In United Kingdom: Carnival plc (head) and subsidiaries: P&O
– UK = country of UCI (according to DnB). After UK investigation of public
sources: USA = country of UCI
Conclusion: without sharing information/decisions population frames
and FATS statistics will show over- and under coverage
Wiesbaden 22 April 2008
Content of the EGR
 World wide structure of MNE’s which operate in EU
– Control relationships
– Share holder information (10% or more)
 Main units
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Global enterprise group
National enterprise group
Enterprise (EU)
Legal units
 Main characteristics:
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Activity
Persons employed
Turnover
Balance sheet total
Country of UCI
Institutional sector
Wiesbaden 22 April 2008
Flow of information
INPUT
OUTPUT
EGR network
Data
from
NSI & NCB
By
By
Eurostat:
NSI/NCB:
from
Integrated
network of
Data
Data
Data on
enterprise
groups
Data quality
management
import,
Data
EU and
standardisation,
checking
national
transformation,
and
linking,
completion
integration
NSI
NCB
EuroGroups
Eurostat
Registers
ECB
commercial
providers
Data collection
19 December 2007
Standardisation
Linking
Integration
Data
checking
Compilation
of
population
frames
Use
of
population
frames
Time table
November 2008
December 2008
February 2009
April 2009
October 2009
Wiesbaden 22 April 2008
 Acquisition of commercial data on 5000 largest
enterprise groups (2 providers)
 Start with the EGR operations
 Start with the process of matching of the units in the
EGR with the units in the national registers
 Start with data quality management
 First population frame of MNE’s available according to
the situation end of 2008
Some reflections on the future
 Extending sharing register data on MNE’s with important
and ‘safe’ non-EU countries? (discussion platform:
Wiesbaden group).
 Relevancy and quality of statistics can be improved by
using ‘Business profiling’ for the top 500 MNE’s.
 The development of a reference database with data
from consolidated yearly accounts for the top 500 MNE’s
could support the national compilers to produce national
statistics which are mutually consistent.
Wiesbaden 22 April 2008