Multinational enterprise groups in EuroGroups Register (EGR) - experimental statistics (egr)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: State Data Agency (Statistics Lithuania)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

State Data Agency (Statistics Lithuania)

1.2. Contact organisation unit

Business Statistics Harmonization division

1.5. Contact mail address

Gedimino Ave. 29, 01500 Vilnius, Lithuania


2. Metadata update Top
2.1. Metadata last certified 29/03/2024
2.2. Metadata last posted 29/03/2024
2.3. Metadata last update 29/03/2024


3. Statistical presentation Top
3.1. Data description

The EuroGroups register (EGR) is the statistical business register of Eurostat and the EU Member States and European Free Trade Association (EFTA) countries for multinational enterprise groups. The purpose of the EGR is to offer to statistical users a tool for coordinating frame population, to derive consistent statistical output with an improved quality in measuring global activities of European enterprises part of multinational enterprise groups.

The EGR produces data in yearly cycles and covers microdata on the groups and their enterprises and legal units. The EGR aims to register all multinational enterprise groups that have enterprises in EU Member States or EFTA countries, including European and non-European groups.

The Member States, EFTA countries and Eurostat exchange data on multinational enterprise groups and on the units belonging to those groups for the purposes of the European framework for statistical business registers to ensure the quality of the multinational enterprise group’s information in the Union.

The EGR brings together microdata on multinational enterprise groups from the EU and the EFTA countries' national statistical institutes, in line with the requirements of the Regulation (EU) No 2152/2019, and from a commercial data source for data outside the EU and EFTA.

3.2. Classification system

Classification systems and main code lists used in the EGR are as follows:

  • Statistical classification of economic activities in the European Community (NACE Rev. 2);
  • European System of Accounts (ESA 2010);
  • List of 2-digit country codes (ISO 3166-1);
  • List of legal forms of the legal units;
  • Currency codes (ISO 4217).
3.3. Coverage - sector

The coverage of the data transmitted to the EGR is defined in the Regulation (EU) 2019/2152 on European business statistics.

For the purposes of the European framework for statistical business registers, the following economic activities are considered:

  • any activity comprising the offer of goods and services on a given market;
  • non-market services contributing to the GDP;
  • direct and indirect holdings of active legal units.

Holding assets and/or liabilities are also considered an economic activity.

3.4. Statistical concepts and definitions

Global group head

The global group head (GGH) of an enterprise group is the parent legal unit that is not controlled either directly or indirectly by any other legal unit. The subsidiary legal units of a subsidiary legal unit are considered to be subsidiaries of the parent legal unit.

Global decision centre

The global decision centre (GDC) of an enterprise group is the unit where the enterprise group level’s strategic decisions are taken. A group may have several decision-making centres or several units dedicated to a particular internal function, for example accounting or human resources. However, the decisions about the group are made only in the GDC. The GDC may be the GGH or another legal unit under the GGH.

Ultimate Controlling Institutional unit

The ultimate controlling institutional unit (UCI) of a foreign affiliate means the institutional unit higher up a foreign affiliate’s chain of control that is not controlled by another institutional unit.

 

3.5. Statistical unit

The statistical units maintained in the EGR are defined in accordance with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community.

The EGR frame contains the following units: Legal units, Enterprises and Multinational enterprise groups.

Legal units include:

- legal persons whose existence is recognized by law independently of the individuals or institutions which may own them or are members of them,

- natural persons who are engaged in an economic activity in their own right.

The legal unit always forms, either by itself or sometimes in combination with other legal units, the legal basis for the statistical unit known as the 'enterprise'.

Enterprise

The enterprise is the smallest combination of legal units that is an organizational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources. An enterprise carries out one or more activities at one or more locations. An enterprise may be a sole legal unit.

Multinational enterprise group

A multinational enterprise group is an enterprise group that has at least two enterprises or legal units located in different countries.  In business statistics also term ‘global enterprise group’ is used.

3.6. Statistical population

The data transmitted to the EGR during the cycle is made of the following datasets.

 

The data set with information on all incorporated resident legal units for the EGR Identification Service.

ISRLE file including the full population of resident legal units is sent to EGR for identification.

 

The data set with information on foreign legal units for the EGR Identification Service.

ISNORLE file including the full population of foreign legal unit recorded in national statistical business register is sent to EGR for identification.

 

The data set with information on legal units.

LEU file including all resident legal unit belonging to a global enterprise group is sent to EGR for processing.

 

The data set with information on relationships of ownership and control.

REL file including all relationships between legal units is sent to EGR for processing:

  • two resident legal units
  • one resident and one foreign legal unit
  • two foreign legal units from non EU+EFTA countries.

Relationships in the REL are:

  • control relationships (>50%)
  • minority relationships (<50%)

 

The data set with information on enterprises.

ENT file including all enterprises made of legal unit sent in LEU files is sent to EGR for processing.

 

The Data set with information on links between enterprises and legal units.

LEL file including all links between enterprise (ENT) and legal units (LEU) is sent to EGR for processing.

 

The Data set with information on enterprise groups of which country is the GDC country for the EuroGroups Register.

GEG file including all groups data is sent to the EGR for processing.

 

The groups’ variables are updated after receiving the preliminary frame:

- Global decision center (GDC)

- Ultimate Controlling Institutional unit (UCI)

- Number of employees 

- Net turnover

3.7. Reference area

Whole world

3.8. Coverage - Time

The EGR frames are available from reference year 2008 onwards. NSI transmits data for the EGR production cycle since 2008 year.

3.9. Base period

Not applicable


4. Unit of measure Top

The economic variables on employment are recorded in absolute figures.

The net turnover for enterprises is recorded in EUR.

The net turnover and net total asset is recorded in millions in EUR.


5. Reference Period Top

The reference period for data sent to the EGR reflects the picture of 31 December of the given reference year.

Data transmitted to EGR during the EGR 2022 cycle includes data for the 2022 reference year. The identification, economic variables (number of employees, turnover and economic activity) refer to the 2022 reference year.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

The content of the national data sent to EGR is defined according the Regulation (EU) 2019/2152 on European business statistics.

Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020 is laying down the technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics.

6.2. Institutional Mandate - data sharing

The legal framework setting up the procedures for EGR data exchanges and access to confidential data for the purpose of the European framework for statistical business registers are defined in the Regulation (EU) 2019/2152 on European business statistics (Art.10). 


7. Confidentiality Top
7.1. Confidentiality - policy

European legislation:

The national legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly include:

  • In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality policy guidelines of Statistics Lithuania;
  • Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of Statistics Lithuania;
  • The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.
7.2. Confidentiality - data treatment

EGR data are stored by the Commission (Eurostat) and by the national statistical authorities (NSAs) in the EU Member States and EFTA countries in a secure area with restricted and controlled access.

The transmission of the EGR data is done in an encrypted form and by electronic means via the Commission (Eurostat) single entry point for exchange of confidential data EDAMIS (europa.eu).

Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure are defined according to the policy rules (see section 7.1).


8. Release policy Top
8.1. Release calendar

Not applicable.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

Not applicable.


9. Frequency of dissemination Top

Not applicable.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not applicable.

10.2. Dissemination format - Publications

Not applicable.

10.3. Dissemination format - online database

Not applicable.

10.4. Dissemination format - microdata access

The micro-data exchange of confidential data on multinational enterprise groups and on the statistical units belonging to those groups takes place, exclusively for statistical purposes, between EU Member States and EFTA countries and the European Commission (Eurostat).

Where such exchange of confidential data is carried out to ensure the quality of the multinational enterprise groups information in the Union and the exchange is explicitly authorised by the competent NSA which provides the data, national central banks may be party to the exchange of confidential data, exclusively for statistical purposes.

NSI exchanges information on multinational enterprise groups with:

Statistics Lithuania may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision.

Statistics Lithuania aiming to better satisfy the need for statistical information, provides users with opportunities to access open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, in the section Open Data.

10.5. Dissemination format - other

Not applicable.

10.6. Documentation on methodology
10.7. Quality management - documentation

Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.


11. Quality management Top
11.1. Quality assurance

Eurostat Data Quality Programme monitors the quality and compliance of the data transmitted by the countries to EGR using the instruments of the EBS quality framework.

At national level, the quality of the data sent to EGR is assured as follows: 

Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.

More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.

11.2. Quality management - assessment

Data quality is in line with the principles of accurancy and reliability, timeliness and punctuality, coherence and compatibility.

A quality assessment procedure includes:

  • automatic validation procedures to check coherence between statistical units and their variables,
  • data format and logical content of data
  • crosschecks with other sources and data from previous years


12. Relevance Top
12.1. Relevance - User Needs

The main users of statistical information are Statistical divisions, whose needs are satisfied without a breach of the confidentiality principle.

12.2. Relevance - User Satisfaction

Not available.

12.3. Completeness

All indicators established by the legislation and their components are published.


13. Accuracy Top
13.1. Accuracy - overall

The data is prepared on the basis of administrative sources. The quality of administrative data is ensured by searching for outliers, missing, duplicate values, analysing the results obtained and, if necessary, correcting the data.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

The EGR process refers to a reference year T and is run yearly over a period of 11 months, between May T+1 and March T+2.

14.2. Punctuality

Data is sent in accordance with an EGR cycle calendar. 


15. Coherence and comparability Top
15.1. Comparability - geographical

Statistical information is comparable across the EU.

15.2. Comparability - over time

Statistical information is fully comparable.

15.3. Coherence - cross domain

The definitions of the indicators are coherent with the definitions of corresponding indicators used in structural business statistics, except for the number of enterprises belonging to the global enterprise groups controlled by foreign enterprises. The survey on Lithuanian enterprises controlled by foreign entities also covers enterprises controlled by foreign natural persons.

15.4. Coherence - internal

Indicators are coherent.


16. Cost and Burden Top

Not available.


17. Data revision Top
17.1. Data revision - policy

Not applicable

17.2. Data revision - practice

Not applicable


18. Statistical processing Top
18.1. Source data

Main administrative data source for delineation of enterprise groups is the State Tax Inspectorate’s questionnaire FR0438 (Controlled units and controlling persons having rights and liabilities), the Information System of Legal Entities Participants (JADIS) of the SE Centre of Registers. Other data sources used: EuroGroups register, statistical data received from statistical surveys on enterprises controlled by Lithuanian entities abroad and Lithuanian enterprises controlled by foreign entities, Information Systems for Participants in Legal Units, Statistical Business Register, annual financial statements of enterprise group and other public data (mass media, Internet).

 

18.2. Frequency of data collection

National data sent to EGR annually.

18.3. Data collection

Data are obtained from administrative sources according to the agreements. Since December 2021, data from the State Tax Inspectorate’s Controlled units and controlling persons having rights and liabilities questionnaire have been obtained through the State Data Governance Information system link with the State Tax Inspectorate’s Oracle database, data format – tables and since March 2022 data of the Information System of Legal Entities Participants (JADIS) through the web service of the SE Centre of Registers, format – xml files. Data from statistical data sources are used to prepare indicators for enterprise groups.

18.4. Data validation

Statistical data are compared with the data of the previous periods; the differences are analysed. Questionable results are checked using statistical data sources and, if errors are detected, corrected.

18.5. Data compilation

Statistical indicator calculated by grouping and summing up primary data by type of enterprise group (all-resident enterprise group, multinational enterprise group domestically or foreign controlled) and the kind of economic activities.

Control links between legal units are determined and the operational hierarchical structure of the enterprise group with the global group head at the top is defined. The global group head is a legal unit which is not controlled directly or indirectly by any other legal unit. In order to identify a control link between legal units, two rules are applied:

  • a legal unit directly owns more than 50% of the voting rights of another legal unit;
  • a legal unit indirectly owns more than 50% of the voting rights of another legal, through subsidiaries.

Using the legal unit identification code, data of the legal units belonging to the enterprise group are retrieved from statistical data sources. Data are used to determine the enterprise group’s indicators.

The process of the preparation of statistical indicators is described in more detailed way in the Order of Management the Statistical Business Register (only in Lithuanian) approved by Order No. DĮ-255 of 10 November 2022 of the Director General of Statistics Lithuania.

18.6. Adjustment

Not applicable.


19. Comment Top

No comment.


Related metadata Top


Annexes Top