Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
National and Regional Accounts and Short Term Statistics
1.3. Contact name
Restricted from publication
1.4. Contact person function
Restricted from publication
1.5. Contact mail address
filip.spagnoli@nbb.be
1.6. Contact email address
Restricted from publication
1.7. Contact phone number
Restricted from publication
1.8. Contact fax number
Restricted from publication
26 September 2023
2.1. Metadata last certified
27 September 2024
2.2. Metadata last posted
27 September 2024
2.3. Metadata last update
31 August 2024
3.1. Data description
The main objective of the trade in goods statistics by enterprise characteristics (TEC) is to bridge two major statistical domains which have traditionally been compiled and used separately, business statistics and international trade in goods statistics (ITGS). Specifically, this new domain was created to answer questions such as:
What kind of businesses are behind the trade flows of goods?
What is the contribution of a particular activity sector to trade?
What is the share of small and medium-sized enterprises to total trade?
What is the share of enterprises that trade with a certain partner country and the amount of trade value they account for?
For this purpose, the trade in goods between countries is broken down by economic activity, size-class of enterprises, trade concentration, geographical diversification and products traded. The new information is used to carry out more sophisticated kinds of analysis, e.g. to evaluate the role of European companies in the context of globalisation or to assess the impact of international trade in goods on employment, production and value added, essential in a globalised world where economies are increasingly interconnected.
Available datasets
TEC data are grouped into ten datasets, each one focusing on a specific aspect:
Trade by activity sector and enterprise size class — Trade by activity sector and employment size class shows the contributions of economic activities and size classes (measured in terms of number of employees until 2021 and in term of number of employees and self-employed from 2022 reference year) to total trade. This allows the impact of international trade on employment to be analysed and the importance of small and medium-size enterprises (SMEs) to be estimated;
Concentration of trade by activity — International trade being typically dominated by a few businesses, this indicator shows the share of the total trade accounted for by the top 5, 10, 20, etc. companies;
Trade by partner country and activity — Trade by partner country shows how many companies were trading with certain partner countries or country zones, and the value they accounted for. This indicator enables the most typical export or import markets to be identified;
Trade by number of partner countries and activity — Trade by number of partner countries shows how geographically diversified the export markets are. For imports, it shows the number of countries from which goods are imported;
Trade by commodity and activity — Trade by commodity and activity sector allocates the trade of each commodity to the activity of the trading enterprise. This indicator shows which sectors were involved in the trading of each product group;
Trade by type of trader — This indicator provides information on how traders are involved in international trade. It shows the number of companies trading within only one flow or in both flows and the trade value these companies account for;
Trade by type of ownership — The type of ownership is referring to the concept of control and to affiliation of an enterprise. It indicates whether an enterprise is domestically or foreign controlled and, if domestically controlled, whether it has affiliates abroad or not. This indicator can be used to analyse the impact of globalisation on international trade and to estimate the importance of multinational companies for trade;
Trade by export intensity — Export intensity categorises enterprises according to the importance of foreign markets in their sales. It refers to the share of exports in total turnover;
Trade by activity sector — In comparison with trade by activity and enterprise size class (first dataset), this indicator provides more details on the activity sector (2- or 3-digit level) but does not contain information about the enterprise size;
Trade by partner country and size class — This indicator aims to give insights into the internationalisation of small- and medium sized enterprises. It complements indicator 3 on trade by partner country and activity by applying the same detailed breakdown of partner countries but categorising enterprises by size class instead of activity sector.
TEC data disseminated at national level
In addition to the 10 datasets described above, a dataset including the reference population is also available.
3.2. Classification system
Classification of economic activities
Economic activities are classified according to the ‘statistical classification of economic activities in the European Community’ (NACE Rev. 2). NACE Rev. 2 is based on the fourth revision of the United Nations’ International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4). Within the international trade in goods statistics, the NACE classification refers to the economic activity of enterprises that are active in international trade in goods.
Product classification
As the TEC domain aims to categorise trade flows according to economic activities, product classifications which are based on the industrial origin of the goods are more suitable for analysis than classifications based on material of goods. For this reason, the Classification of Products by Activity (CPA) is used as the product classification in TEC. CPA is a European version of the United Nations’ Central Product Classification (CPC), but arranged so that each product heading is assignable to a single heading of the European activity classification, the NACE Rev. 2. CPA version 2008 is used for TEC data relating to the reference years 2012-2015. CPA version 2.1 is used since 2016 as reference year.
Country classification
Except for the cases listed below, the reporting and partner countries are classified according to the ‘Nomenclature of countries and territories for the external trade statistics of the Community and statistics of trade between Member States’, known as the ‘Geonomenclature’. An alpha-2 coding applies, which means that each country is identified with a two-letter alphabetical code. See the publication Geonomenclature applicable to European statistics on international trade in goods for more information. Exceptions: code CN_X_HK instead of CN for China (except Hong Kong); code UK instead of GB for United Kingdom; code EL instead of GR for Greece.
TEC data cover all activity sectors, from sections A to U of the NACE Rev. 2 classification.
3.4. Statistical concepts and definitions
Trade value
The value of traded goods is calculated at the national frontier, on a FOB basis (free on board) for exports and a CIF (cost, insurance, freight) basis for imports. Hence, only incidental expenses (freight, insurance) are included and they are incurred for:
exports in the part of the journey located on the territory of the country where the goods are exported from;
imports in the part of the journey located outside the territory of the country where the goods are imported to.
Number of enterprises
The number of enterprises consists of a count of the number of enterprises involved in trade during at least a part of the reference period. For intra-EU trade, VAT data are used to estimate the number of traders and trade value of the smallest traders which are exempted from Intrastat reporting. These traders account for a limited share of the trade value – at most 3 % of the total value of the intra-EU exports and 7 % of the total value of the intra-EU imports – but in terms of number of enterprises they consist of the majority.
Partner country
Trade flows are broken down by partner country.
For exports it is the country of destination of the goods. That is the last country to which it is known that, at the time of export, the goods are to be delivered;
For imports, the definition of the partner country differs between Intrastat and Extrastat. For extra-EU imports it is the country of origin of the goods; for intra-EU imports it is the country (EU Member State) of consignment of goods.
Product
The product is the outcome of economic activity and the generic term used for goods and services.
Product classifications are designed to categorise goods and services that have common characteristics. They provide the basis for preparing statistics on the production, consumption, international trade and distributive trade. However, the scope of TEC is limited to the trade in goods.
Economic activity
The economic activity consists in offering goods and services on a given market. An activity is characterised by an input of products, a production process and an output of products. In other words, an economic activity is said to take place when resources such as equipment, labour, manufacturing techniques, information networks or products are combined, leading to the creation of specific goods or services.
Classifications of economic activities are designed to categorise data that can be related to the unit of activity. They provide the basis for preparing statistics of output, the various inputs to the production process, capital formation and the financial transactions of such units. Economic activities are classified according to NACE, the classification used to classify economic entities (enterprises, local units and similar statistical units). Within the international trade statistics, the NACE classification refers to the economic activity of traders, i.e. enterprises that are active in international trade.
Number of employees and self employed persons
The number of employees refers to the number of those persons who work for an employer and who have a contract of employment and receive compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind. A worker is considered to be a wage or salary earner of a particular unit if he receives a wage or salary from the unit regardless of where the work is done (in or outside the production unit).
A self-employed person is the sole or joint owner of the unincorporated enterprise (one that has not been incorporated i.e. formed into a legal corporation) in which he/she works, unless they are also in paid employment which is their main activity (in that case, they are considered to be employees). Self-employed people also include:
unpaid family workers;
outworkers (who work outside the usual workplace, such as at home);
workers engaged in production done entirely for their own final use or own capital formation, either individually or collectively.
Until reference year 2021 only the number of employees was used to determine enterprise size classes.
The number of employees is a mandatory variable to be recorded in the business registers for each enterprise and local unit. According to the Business Register Regulation, the intention is to use the situation at the end of the year. However, as the end date approach is not harmonised the annual average can also be used as reference.
Type of traders
In the context of the TEC data, the type of trader specifies the type of trade activity of the enterprise. It indicates whether the enterprise is involved only in exports or only imports or trade in both flows.
The type of trader aims to describe the heterogeneity of enterprises according to their involvement in trade.
Type of ownership
In the context of the TEC data, the type of ownership refers to the concept of control and to the affiliation of an enterprise. It indicates whether an enterprise is domestically or foreign controlled and if it is domestically controlled, whether it has affiliates abroad or not. In other words, the type of ownership refers to the delineation of enterprise groups and categorising them. In this context, the concept of control prevails as referred in article 3 (4) of the Business Register Regulation (EC) No 177/2008. This Regulation applies the European System of Accounts (ESA) definition for the control as set out in point 2.26 of Annex A to Regulation (EC) no 2223/96. The concept of control prevails also in the FATS Regulation and is defined as follows: "‘control’ shall mean the ability to determine the general policy of an enterprise by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders’ voting power or more than half of the shares". This definition is consistent with the ESA definition.
The type of ownership aims to describe the heterogeneity of enterprises according to their global status. A distinction of enterprises into domestically and foreign controlled enterprises has specific interest because of the important role of foreign affiliates. Furthermore, if domestically controlled enterprises with own affiliates abroad are further distinguished from all domestically controlled enterprises, the population all of multinational enterprises can be identified.
Exports intensity
The exports intensity refers to the share of exports of turnover (ratio between exports and turnover).
Exports intensity categorises enterprises according to the importance of foreign markets in their sales. The recent developments in the area of global value chains have raised a question on the heterogeneity of enterprises. It has been traditionally assumed that enterprises in the same activity sector are homogenous in terms of their productivity as well as in generating value-added and employment. However, this may not be a valid assumption any more in the globalised economy as productivity, value-added and employment may depend on the international orientation of enterprises, i.e. their involvement and position in the global value chains. Enterprises with high exports intensity are often also large-scale importers.
3.5. Statistical unit
The statistical unit is the enterprise.
3.6. Statistical population
The reference population comprises all traders involved in intra- and/or extra-EU flows.
The statistical population used in the compilation of TEC datasets relates to traders who have reported trade transactions (customs, VAT or intrastat) under a valid ID number and were successfully matched with the Business Register. This means that the enterprise characteristics reported in the TEC datasets refer only to a part of total trade. Are out of scope:
Trade carried out by non-resident traders as such traders cannot be associated to an enterprise via the national Business Register; and
Trade carried out by private individuals.
3.7. Reference area
Belgium.
3.8. Coverage - Time
TEC data disseminated by Eurostat
From 2012 as reference year.
TEC data disseminated at national level
From 2015 as reference year.
3.9. Base period
Not applicable.
TEC data disseminated by Eurostat
Trade value in thousands of euros;
Number of enterprises.
TEC data disseminated at national level
Number of enterprises in units / Statistical values in millions of euro.
The reference period for compilation of TEC data is annual.
6.1. Institutional Mandate - legal acts and other agreements
Legal acts and other agreements - EU level
General statistical legislation
Regulation (EC) No 223/2009 of the European Parliament and of the Council on European statistics.
International trade in goods statistics legislation:
Up to 31 December 2021, ITGS are based on the following regulations:
Intra-EU trade legislation:
Regulation (EC) No 638/2004 of the European Parliament and of the Council;
Implementing Commission Regulation (EC) No 1982/2004.
Extra-EU trade legislation:
Regulation (EC) No 471/2009 of the European Parliament and of the Council;
Implementing Commission Regulation (EC) No 92/2010;
Implementing Commission Regulation (EC) No 113/2010.
As of 1 January 2022, ITGS are based on the following regulations:
Regulation (EU) 2019/2152 of the European Parliament and of the Council of 27 November 2019;
Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020;
Commission Implementing Regulation (EU) 2021/1225 of 27 July 2021;
Commission Delegated Regulation (EU) 2021/1704 of 14 July 2021.
Business Registers legislation
Regulation (EC) No 177/2008 of the European Parliament and of the Council establishing a common framework for Business Registers for statistical purposes.
Implementing Commission Regulation (EC) No 192/2009;
Implementing Commission Regulation (EU) No 1097/2010.
All regulations relevant for the European statistics on international trade in goods can be consulted from the ‘Legislation’ page of the ‘International trade in goods’ section on Eurostat website. All legal texts are also accessible online on Eur-Lex.
Legal acts and other agreements - national level
General statistical legislation:
Law of 4 July 1962 (NL-FR) on public statistics (B.S. 20 July 1962).
Amended by:
Law of 1 August 1985 (B.S. 6 August 1985);
Law of 21 December 1994 (B.S. 23 December 1994);
Law of 2 January 2001 (B.S. 03 January 2001 - 2nd edition);
Law of 2 August 2002 (B.S. 29 August 2002);
Law of 22 March 2006 (B.S. 21 April 2006 - 02 May 2006 errata);
Law of 22 December 2008 (B.S. 29 December 2008);
Law of 6 May 2009 (B.S. 19 May 2009);
Law of 18 december 2015 (B.S. 29 December 2015);
Law of 26 June 2000 concerning the introduction of the Euro in the legislation concerning matters on art. 78 of the Constitution (B.S. 29 July 2000);
Royal Decree of 10 September 2009 (NL-FR) concerning the period and the modality of payment of the administrative fine in application of Art. 21octies of the Law of 4 July 1962 on public statistics. (B.S. 18 September 2009).
Specific legislation relating to Intrastat:
Royal Decree of 9 January 2005 (NL-FR) establishing monthly statistics relating to the trading of goods between Belgium and the other EC Member States (B.S. 26 January 2005).
Amended by:
Royal Decree of 11 January 2006 (B.S. 30 January 2006);
Royal Decree of 21 February 2010 (B.S. 26 February 2010);
Royal Decree of 10 October 2014 (B.S. 23 October 2014).
Royal Decree of 8 February 1995 (NL-FR) appointing certain persons to investigate and find infringements relating to the statistics referred to in Article 108(f) of the Law of 21 December 1994 containing social and miscellaneous provisions (B.S. 14 March 1995).
Amended by:
Royal Decree of 26 December 1998 (B.S. 10 February 1999);
Royal Decree of 19 October 2009 (B.S. 04 November 2009).
6.2. Institutional Mandate - data sharing
Not applicable.
7.1. Confidentiality - policy
Application of active confidentiality meaning that the NCB takes the initiative to suppress the data without informing the trade operator concerned.
7.2. Confidentiality - data treatment
Minimum 2 reporting entities, none of them could exceed 80% of the total value of the reported data.
8.1. Release calendar
TEC data disseminated by Eurostat
See item 8.1 ‘Release calendar’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
TEC data disseminated at national level
The TEC is published on NBB.Stat annually in August (T+20 months).
8.2. Release calendar access
Not applicable.
8.3. Release policy - user access
See item 8.3 ‘Release policy - user access’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
Statistics by enterprise characteristics are updated once a year with a new reference year. Historical data are exceptionally revised.
10.1. Dissemination format - News release
TEC data disseminated by Eurostat
See item 10.1 ‘Dissemination format - News release’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
TEC data disseminated at national level
Not applicable.
10.2. Dissemination format - Publications
TEC data disseminated by Eurostat
See item 10.2 ‘Dissemination format - Publications’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
TEC data disseminated at national level
Not applicable.
10.3. Dissemination format - online database
TEC data disseminated by Eurostat
See item 10.3 ‘Dissemination format - online database’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
See item 10.6 ‘Documentation on methodology’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
See item 10.7 ‘Quality management - documentation’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
11.1. Quality assurance
See item 11.1 ‘Quality assurance’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
11.2. Quality management - assessment
See item 11.2 ‘Quality management - assessment’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
12.1. Relevance - User Needs
See item 12.1 ‘Relevance - User Needs’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
12.2. Relevance - User Satisfaction
See item 12.2 ‘Relevance - User Satisfaction' of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
12.3. Completeness
See item 12.3 ‘Completeness’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
See item 15.1 ‘Comparability - geographical’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
Break in 2021 for trade with partner UK due to Brexit.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable.
15.2. Comparability - over time
Comparable for period 2018-2022.
Since 2021 data, there is a large increase in pharmaceuticals products as a result of trade in COVID vaccins.
15.2.1. Length of comparable time series
2018-2022.
15.3. Coherence - cross domain
See item 15.3 ‘Coherence - cross domain’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
15.3.1. Coherence - sub annual and annual statistics
Not applicable.
15.3.2. Coherence - National Accounts
Not applicable.
15.4. Coherence - internal
See item 15.4 ‘Coherence - internal’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
Extra burden on respondent
None. TEC data is about linking of micro data already collected or available.
Production costs
0.1 man-year.
Extra burden on production costs due to secondary confidentiality requirements.
17.1. Data revision - policy
No revision policy
17.2. Data revision - practice
Data set is not revised except for exceptional reasons.
17.2.1. Data revision - average size
Not applicable.
18.1. Source data
International trade in goods statistics by enterprise characteristics are derived from two data sources: the monthly detailed trade in goods data and data taken from the business registers.
Trade in goods data are collected on the basis of:
a census for the intra-EU trade, the census units being the traders whose annual trade value is above the national Intrastat exemption threshold and who are then liable to submit an Intrastat declaration; and
administrative forms, the customs declarations, for the extra-EU trade.
Missing data (exempted intra-EU traders, missing Intrastat declarations) are estimated in order to disseminate trade in goods data covering 100% of the trade.
The national business registers serve as the sources for the enterprise characteristics. No samples are drawn from the registers, but the full registers are processed.
18.2. Frequency of data collection
Intrastat: monthly;
Customs data: daily or monthly;
VAT data: monthly, quarterly, yearly;
Business register: yearly.
18.3. Data collection
Online surveys;
Declarations (for administrative data);
Collection of trade in goods data
For intra EU trade, any VAT-registered business that trades goods with other EU Member States is required to provide information on its transactions. The information is obtained directly by the national authority responsible for the collection of trade in goods statistics, using the various media available (in paper or electronic form). All businesses are legally required to provide information on their total sales and purchases to and from other EU countries on their VAT returns. The largest ones also submit Intrastat declarations on a monthly basis within a fixed deadline;
For the compilation of extra-EU trade statistics, the standard data source is the customs declaration submitted by businesses and, in some cases, by private individuals involved in an international transaction of goods with a non-EU country. The customs declaration may be in paper form the Single Administrative Document (SAD) but is most commonly in electronic format.
Collection of data for the Business Register
The maintenance of business registers is normally based on the effective use of various administrative and statistical data sources. The frequency of updating the business registers depends on the kind of unit, the variable considered, the size of the unit and the source generally used for the update. As a general rule, key characteristics such as economic/stratification variables should be updated annually. Characteristics which are considered to evolve rapidly or are regarded as key units by users should be updated more frequently. Examples include large and complex units and units classified to economic activities which are known to change frequently.
18.4. Data validation
Validation occurs at the primary data source level. For later data linking, micro data are deemed as validated.
TEC data disseminated by Eurostat have passed the following quality checks:
Intra-dataset checks: completeness of each dataset and uniqueness of the records, validity of the codes, validity of code combinations across the different dimensions, inter-record consistency checks;
Inter-dataset checks: consistency of trade values and numbers of enterprises related to similar combinations across the datasets;
Intra-domain check: check of the coherence between trade values published in TEC datasets and trade values coming from aggregated and detailed trade in goods data.
The operations performed to compile TEC is mainly to link the business register with the trade in goods database. A specific operation is done to allocate by characteristics the estimated part of intra EU trade (based on VAT).
18.5.1. Imputation - rate
No imputation made by Eurostat.
18.6. Adjustment
There are no specific adjustments made to the TEC data.
18.6.1. Seasonal adjustment
Not applicable.
All reference documents and relevant information on TEC data can be found on the Overview page of the ‘International trade in goods’ section on Eurostat website.
The main objective of the trade in goods statistics by enterprise characteristics (TEC) is to bridge two major statistical domains which have traditionally been compiled and used separately, business statistics and international trade in goods statistics (ITGS). Specifically, this new domain was created to answer questions such as:
What kind of businesses are behind the trade flows of goods?
What is the contribution of a particular activity sector to trade?
What is the share of small and medium-sized enterprises to total trade?
What is the share of enterprises that trade with a certain partner country and the amount of trade value they account for?
For this purpose, the trade in goods between countries is broken down by economic activity, size-class of enterprises, trade concentration, geographical diversification and products traded. The new information is used to carry out more sophisticated kinds of analysis, e.g. to evaluate the role of European companies in the context of globalisation or to assess the impact of international trade in goods on employment, production and value added, essential in a globalised world where economies are increasingly interconnected.
Available datasets
TEC data are grouped into ten datasets, each one focusing on a specific aspect:
Trade by activity sector and enterprise size class — Trade by activity sector and employment size class shows the contributions of economic activities and size classes (measured in terms of number of employees until 2021 and in term of number of employees and self-employed from 2022 reference year) to total trade. This allows the impact of international trade on employment to be analysed and the importance of small and medium-size enterprises (SMEs) to be estimated;
Concentration of trade by activity — International trade being typically dominated by a few businesses, this indicator shows the share of the total trade accounted for by the top 5, 10, 20, etc. companies;
Trade by partner country and activity — Trade by partner country shows how many companies were trading with certain partner countries or country zones, and the value they accounted for. This indicator enables the most typical export or import markets to be identified;
Trade by number of partner countries and activity — Trade by number of partner countries shows how geographically diversified the export markets are. For imports, it shows the number of countries from which goods are imported;
Trade by commodity and activity — Trade by commodity and activity sector allocates the trade of each commodity to the activity of the trading enterprise. This indicator shows which sectors were involved in the trading of each product group;
Trade by type of trader — This indicator provides information on how traders are involved in international trade. It shows the number of companies trading within only one flow or in both flows and the trade value these companies account for;
Trade by type of ownership — The type of ownership is referring to the concept of control and to affiliation of an enterprise. It indicates whether an enterprise is domestically or foreign controlled and, if domestically controlled, whether it has affiliates abroad or not. This indicator can be used to analyse the impact of globalisation on international trade and to estimate the importance of multinational companies for trade;
Trade by export intensity — Export intensity categorises enterprises according to the importance of foreign markets in their sales. It refers to the share of exports in total turnover;
Trade by activity sector — In comparison with trade by activity and enterprise size class (first dataset), this indicator provides more details on the activity sector (2- or 3-digit level) but does not contain information about the enterprise size;
Trade by partner country and size class — This indicator aims to give insights into the internationalisation of small- and medium sized enterprises. It complements indicator 3 on trade by partner country and activity by applying the same detailed breakdown of partner countries but categorising enterprises by size class instead of activity sector.
TEC data disseminated at national level
In addition to the 10 datasets described above, a dataset including the reference population is also available.
31 August 2024
Trade value
The value of traded goods is calculated at the national frontier, on a FOB basis (free on board) for exports and a CIF (cost, insurance, freight) basis for imports. Hence, only incidental expenses (freight, insurance) are included and they are incurred for:
exports in the part of the journey located on the territory of the country where the goods are exported from;
imports in the part of the journey located outside the territory of the country where the goods are imported to.
Number of enterprises
The number of enterprises consists of a count of the number of enterprises involved in trade during at least a part of the reference period. For intra-EU trade, VAT data are used to estimate the number of traders and trade value of the smallest traders which are exempted from Intrastat reporting. These traders account for a limited share of the trade value – at most 3 % of the total value of the intra-EU exports and 7 % of the total value of the intra-EU imports – but in terms of number of enterprises they consist of the majority.
Partner country
Trade flows are broken down by partner country.
For exports it is the country of destination of the goods. That is the last country to which it is known that, at the time of export, the goods are to be delivered;
For imports, the definition of the partner country differs between Intrastat and Extrastat. For extra-EU imports it is the country of origin of the goods; for intra-EU imports it is the country (EU Member State) of consignment of goods.
Product
The product is the outcome of economic activity and the generic term used for goods and services.
Product classifications are designed to categorise goods and services that have common characteristics. They provide the basis for preparing statistics on the production, consumption, international trade and distributive trade. However, the scope of TEC is limited to the trade in goods.
Economic activity
The economic activity consists in offering goods and services on a given market. An activity is characterised by an input of products, a production process and an output of products. In other words, an economic activity is said to take place when resources such as equipment, labour, manufacturing techniques, information networks or products are combined, leading to the creation of specific goods or services.
Classifications of economic activities are designed to categorise data that can be related to the unit of activity. They provide the basis for preparing statistics of output, the various inputs to the production process, capital formation and the financial transactions of such units. Economic activities are classified according to NACE, the classification used to classify economic entities (enterprises, local units and similar statistical units). Within the international trade statistics, the NACE classification refers to the economic activity of traders, i.e. enterprises that are active in international trade.
Number of employees and self employed persons
The number of employees refers to the number of those persons who work for an employer and who have a contract of employment and receive compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind. A worker is considered to be a wage or salary earner of a particular unit if he receives a wage or salary from the unit regardless of where the work is done (in or outside the production unit).
A self-employed person is the sole or joint owner of the unincorporated enterprise (one that has not been incorporated i.e. formed into a legal corporation) in which he/she works, unless they are also in paid employment which is their main activity (in that case, they are considered to be employees). Self-employed people also include:
unpaid family workers;
outworkers (who work outside the usual workplace, such as at home);
workers engaged in production done entirely for their own final use or own capital formation, either individually or collectively.
Until reference year 2021 only the number of employees was used to determine enterprise size classes.
The number of employees is a mandatory variable to be recorded in the business registers for each enterprise and local unit. According to the Business Register Regulation, the intention is to use the situation at the end of the year. However, as the end date approach is not harmonised the annual average can also be used as reference.
Type of traders
In the context of the TEC data, the type of trader specifies the type of trade activity of the enterprise. It indicates whether the enterprise is involved only in exports or only imports or trade in both flows.
The type of trader aims to describe the heterogeneity of enterprises according to their involvement in trade.
Type of ownership
In the context of the TEC data, the type of ownership refers to the concept of control and to the affiliation of an enterprise. It indicates whether an enterprise is domestically or foreign controlled and if it is domestically controlled, whether it has affiliates abroad or not. In other words, the type of ownership refers to the delineation of enterprise groups and categorising them. In this context, the concept of control prevails as referred in article 3 (4) of the Business Register Regulation (EC) No 177/2008. This Regulation applies the European System of Accounts (ESA) definition for the control as set out in point 2.26 of Annex A to Regulation (EC) no 2223/96. The concept of control prevails also in the FATS Regulation and is defined as follows: "‘control’ shall mean the ability to determine the general policy of an enterprise by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders’ voting power or more than half of the shares". This definition is consistent with the ESA definition.
The type of ownership aims to describe the heterogeneity of enterprises according to their global status. A distinction of enterprises into domestically and foreign controlled enterprises has specific interest because of the important role of foreign affiliates. Furthermore, if domestically controlled enterprises with own affiliates abroad are further distinguished from all domestically controlled enterprises, the population all of multinational enterprises can be identified.
Exports intensity
The exports intensity refers to the share of exports of turnover (ratio between exports and turnover).
Exports intensity categorises enterprises according to the importance of foreign markets in their sales. The recent developments in the area of global value chains have raised a question on the heterogeneity of enterprises. It has been traditionally assumed that enterprises in the same activity sector are homogenous in terms of their productivity as well as in generating value-added and employment. However, this may not be a valid assumption any more in the globalised economy as productivity, value-added and employment may depend on the international orientation of enterprises, i.e. their involvement and position in the global value chains. Enterprises with high exports intensity are often also large-scale importers.
The statistical unit is the enterprise.
The reference population comprises all traders involved in intra- and/or extra-EU flows.
The statistical population used in the compilation of TEC datasets relates to traders who have reported trade transactions (customs, VAT or intrastat) under a valid ID number and were successfully matched with the Business Register. This means that the enterprise characteristics reported in the TEC datasets refer only to a part of total trade. Are out of scope:
Trade carried out by non-resident traders as such traders cannot be associated to an enterprise via the national Business Register; and
Trade carried out by private individuals.
Belgium.
The reference period for compilation of TEC data is annual.
See item 13.1 ‘Accuracy - overall’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
TEC data disseminated by Eurostat
Trade value in thousands of euros;
Number of enterprises.
TEC data disseminated at national level
Number of enterprises in units / Statistical values in millions of euro.
The operations performed to compile TEC is mainly to link the business register with the trade in goods database. A specific operation is done to allocate by characteristics the estimated part of intra EU trade (based on VAT).
International trade in goods statistics by enterprise characteristics are derived from two data sources: the monthly detailed trade in goods data and data taken from the business registers.
Trade in goods data are collected on the basis of:
a census for the intra-EU trade, the census units being the traders whose annual trade value is above the national Intrastat exemption threshold and who are then liable to submit an Intrastat declaration; and
administrative forms, the customs declarations, for the extra-EU trade.
Missing data (exempted intra-EU traders, missing Intrastat declarations) are estimated in order to disseminate trade in goods data covering 100% of the trade.
The national business registers serve as the sources for the enterprise characteristics. No samples are drawn from the registers, but the full registers are processed.
Statistics by enterprise characteristics are updated once a year with a new reference year. Historical data are exceptionally revised.
See item 14.1 ‘Timeliness’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
See item 15.1 ‘Comparability - geographical’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
Break in 2021 for trade with partner UK due to Brexit.
Comparable for period 2018-2022.
Since 2021 data, there is a large increase in pharmaceuticals products as a result of trade in COVID vaccins.
