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.
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
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.
The Business Register Regulation defines the link between the legal unit and the enterprise. The same regulation also establishes a link between the business registers and the registers of intra- and extra- EU trade operators through a common unit of reference, namely the legal unit. The enterprise is the statistical unit to be used, which means that trade data must be linked to characteristics available in the Business Register for the enterprise through the legal unit. In this way, trade data are connected with the characteristics of an enterprise and they can be reported in terms of the economic activity and number of employees of the whole enterprise concerned.
3.6. Statistical population
The statistical population should comprise all the enterprises involved in intra- and extra-EU trade flows. However, in practice, the linkage between the Trade Register and the Business Register is not systematically straightforward as there may be more complicated linkages or the linkage may not always provide expected outcomes. This relates in particular to the following cases:
Intra-annual business demography changes;
Large and complex businesses;
Incomplete business register data; and
VAT-groups.
The reference population used in the compilation of TEC datasets relates to traders who have reported trade transactions 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:
Adjustments for missing trade (trade below threshold and non-response in intra-EU trade; missing, delayed and incomplete records for extra-EU trade);
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
The Netherlands
3.8. Coverage - Time
From 2012 as reference year
3.9. Base period
Not applicable.
Trade value in thousands of euros
Number of enterprises
The reference period is the same as for monthly trade in goods statistics. It should be the calendar month of export respectively that of import of the goods. However, in practice the reference period is in general:
the calendar month during which the customs declaration is accepted by the national authorities for extra-EU trade; and
the calendar month during which VAT becomes chargeable on intra-EU acquisitions for intra-EU trade.
The reference years for which TEC data are disseminated result from the aggregation of monthly figures from January to December.
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
Statistics Netherlands Act
6.2. Institutional Mandate - data sharing
Not applicable.
7.1. Confidentiality - policy
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
As a general definition, data used by national and EU authorities for producing statistics are considered confidential if statistical units can be identified, either directly or indirectly, and information about individuals or businesses is disclosed as a result.
The Law on Statistics Netherlands of November 2003 stipulates in article 37 to 42a that data received from respondents should be kept confidential.
The general policy is that the privacy of respondents (households and companies) is guaranteed, since data shall solely be used for statistical purposes and only compiled data are published. In addition, the individual data are only available to persons charged with carrying out the duties of the Statistics Netherlands. Hence all new employees sign a confidentiality contract, which ensures that micro data remain confidential.
7.2. Confidentiality - data treatment
Confidential data is defined as ‘data which allow statistical units to be identified, either directly or indirectly, thereby disclosing individual information. To determine whether a statistical unit is identifiable, account shall be taken of all relevant means that might reasonably be used by a third party to identify the statistical unit’.
For TEC data, the principle of active confidentiality applies, which means that the National Statistical Authorities (NSA's) take the initiative to suppress the data whose dissemination by Eurostat would make it possible to identify an enterprise or a trader. The legal provisions (articles 13a (8) of Regulation (EC) No 1982/2004 and 15(9) of Regulation (EU) No 113/2010, respectively relating to the compilation of statistics on trade by enterprise characteristics for intra- and extra-EU) define only the principle to be applied. The application of confidentiality in practice is under the responsibility of the NSAs. Each NSA should establish the rules to define confidential data. This implies also that it is the reporting countries’ responsibility to mark their data as confidential before their transmission to the Commission (Eurostat).
Besides the legal provisions, the reporting country should follow a number of practical recommendations in order to ensure data disclosure with a minimum loss of information. These recommendations are listed below:
Confidential data should be clearly flagged (‘C’).
It should indicate whether the suppression concerns either the trade value or the number of enterprises or both variables.
Unintentional revealing of confidential data should be avoided by applying secondary confidentiality. Secondary confidentiality needs to be applied when there is only one confidential flag in a dataset and the related cell is under an aggregate. In this case, the cell marked as confidential can be revealed by simply subtracting the aggregate of the rest of the cells from the total.
The links between TEC datasets should be taken into account when defining confidential records. This means that a record referring to an activity sector which is marked as confidential in one dataset, e.g. Dataset 2 should also be marked as confidential in any related dataset, e.g. Dataset 6.
Unnecessary suppression should be avoided if the only record flagged ‘C’ is a minor fraction of the total trade or if it refers to an unknown class.
At Statistics Netherlands we meet all the criteria listed above by applying the p% rule in our Tau-Argus-tool following the instructions in the Compiler's Guide on treatment of confidential data.
8.1. Release calendar
TEC data are only 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.
8.2. Release calendar access
Not applicable.
8.3. Release policy - user access
TEC data are only disseminated by Eurostat. 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 by Eurostat once a year with a new reference year. Historical data are exceptionally revised.
10.1. Dissemination format - News release
No news release
10.2. Dissemination format - Publications
TEC data are only 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.
10.3. Dissemination format - online database
TEC data are only 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.
10.3.1. Data tables - consultations
Not available.
10.4. Dissemination format - microdata access
Not applicable
10.5. Dissemination format - other
Not applicable.
10.5.1. Metadata - consultations
Not available.
10.6. Documentation on methodology
TEC data are only disseminated by Eurostat. 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.
10.6.1. Metadata completeness - rate
100%
10.7. Quality management - documentation
TEC data are only disseminated by Eurostat. 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
Statistics Netherlands's mission is to publish reliable and coherent statistical information that meets society's needs. A prerequisite of this mission is that the quality of this statistical information is guaranteed, to which end Statistics Netherlands has set up a quality management system, based on the highest international standards. Statistics Netherlands's Quality Statement specifies the way in which these quality standards are met. It is available at this link.
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
TEC data are only disseminated by Eurostat. See item 12.1 ‘Relevance - User Needs’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
12.2. Relevance - User Satisfaction
TEC data are only disseminated by Eurostat. See item 12.2 ‘Relevance - User Satisfaction’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’ for more details.
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)’.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable.
15.2. Comparability - over time
In both 2012/2013 and 2014/2015 methodological changes have been made. These changes have had very little impact in terms of trade value, but they have impacted the number of enterprises reported in the TEC-data.
As a result of Croatia joining EU, the definition of intra- en extra-EU has changed in reference year 2013. Hence TEC-results for 2013 and after cannot be compared to those for earlier years.
Also, as a result of Brexit, the definition of intra- and extra-EU has changed in reference year 2020 . Hence TEC-results for 2020 and after cannot be compared to those for earlier years.
Note that in 2020, data on trade with UK were obtained from questionnaires for traders above the threshold, whereas in 2021, as a result of Brexit, these data were supplied by Customs for all traders (not just the ones above the threshold). This has increased the number of enterprises trading with the UK in 2021, but otherwise the data of 2021 is comparable to 2020.
In 2020, the use of information on type of control changed. This means that TEC-results on type of control for 2020 and after are not comparable to those for earlier years. It has enhanced the quality of this breakdown.
Some remarkable developments are observed in 2022 as compared to TEC 2021 data. There are several causes for these developments. First, trade values have gone up about 30%, which is the result of both an increase in trade volume and higher prices. Second, the link between trade data and business register. was improved As a result of this, TEC-results for 2022 and after cannot be compared to those for earlier years.
15.2.1. Length of comparable time series
As a result of the methodological changes, Croatia entering EU and Brexit comparable time series cover 1 year (2012), 2 years (2013-2014) , 5 years ( 2015-2019) , 2 years (2020-2021) and 1 year (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)’.
No additional burden for the respondents. The TEC tables took about 80 hours to produce when taking into account the collection from multiple sources of the data (business and trade registrations).
17.1. Data revision - policy
For the Netherlands, TEC data are not published nationally and their deadline is later than the publication of our final figures, so revisions are not foreseen.
17.2. Data revision - practice
We do not expect any major revisions in the near future.
17.2.1. Data revision - average size
Not applicable.
18.1. Source data
Customs declarations (Extrastat), a census among enterprises that trade above the national exemption threshold for the corresponding year (Intrastat) and linkages to the general business register.
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.
Note that missing data (exempted intra-EU traders, missing Intrastat declarations) are estimated by the NSI 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
Intra-EU trade and Extra-EU trade
Most data is collected monthly, although some smaller enterprises are exempt from monthly data deliveries for reference years 2018-2021. They deliver their data annually.
Business Register
Monthly
TEC data
Annual.
18.3. Data collection
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 (mainly in 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.
Business registration data is updated each month.
18.4. Data validation
All the checks mentioned below are also carried out by Statistics Netherlands. We also monitor the developments over time and look for explanations.
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.
Relevant data is collected from different sources such as Business registrations and Trade statistics. Subsequently data is standardised into the appropriate format and each of the required variables are calculated. The resulting tables are tested for confidentiality across different dimensions using Tau-Argus software and stored. The final tables are then produced and checked for validity and consistency.
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
26 September 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 Business Register Regulation defines the link between the legal unit and the enterprise. The same regulation also establishes a link between the business registers and the registers of intra- and extra- EU trade operators through a common unit of reference, namely the legal unit. The enterprise is the statistical unit to be used, which means that trade data must be linked to characteristics available in the Business Register for the enterprise through the legal unit. In this way, trade data are connected with the characteristics of an enterprise and they can be reported in terms of the economic activity and number of employees of the whole enterprise concerned.
The statistical population should comprise all the enterprises involved in intra- and extra-EU trade flows. However, in practice, the linkage between the Trade Register and the Business Register is not systematically straightforward as there may be more complicated linkages or the linkage may not always provide expected outcomes. This relates in particular to the following cases:
Intra-annual business demography changes;
Large and complex businesses;
Incomplete business register data; and
VAT-groups.
The reference population used in the compilation of TEC datasets relates to traders who have reported trade transactions 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:
Adjustments for missing trade (trade below threshold and non-response in intra-EU trade; missing, delayed and incomplete records for extra-EU trade);
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.
The Netherlands
The reference period is the same as for monthly trade in goods statistics. It should be the calendar month of export respectively that of import of the goods. However, in practice the reference period is in general:
the calendar month during which the customs declaration is accepted by the national authorities for extra-EU trade; and
the calendar month during which VAT becomes chargeable on intra-EU acquisitions for intra-EU trade.
The reference years for which TEC data are disseminated result from the aggregation of monthly figures from January to December.
See item 13.1 ‘Accuracy - overall’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.
Trade value in thousands of euros
Number of enterprises
Relevant data is collected from different sources such as Business registrations and Trade statistics. Subsequently data is standardised into the appropriate format and each of the required variables are calculated. The resulting tables are tested for confidentiality across different dimensions using Tau-Argus software and stored. The final tables are then produced and checked for validity and consistency.
Customs declarations (Extrastat), a census among enterprises that trade above the national exemption threshold for the corresponding year (Intrastat) and linkages to the general business register.
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.
Note that missing data (exempted intra-EU traders, missing Intrastat declarations) are estimated by the NSI 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 by Eurostat 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)’.
In both 2012/2013 and 2014/2015 methodological changes have been made. These changes have had very little impact in terms of trade value, but they have impacted the number of enterprises reported in the TEC-data.
As a result of Croatia joining EU, the definition of intra- en extra-EU has changed in reference year 2013. Hence TEC-results for 2013 and after cannot be compared to those for earlier years.
Also, as a result of Brexit, the definition of intra- and extra-EU has changed in reference year 2020 . Hence TEC-results for 2020 and after cannot be compared to those for earlier years.
Note that in 2020, data on trade with UK were obtained from questionnaires for traders above the threshold, whereas in 2021, as a result of Brexit, these data were supplied by Customs for all traders (not just the ones above the threshold). This has increased the number of enterprises trading with the UK in 2021, but otherwise the data of 2021 is comparable to 2020.
In 2020, the use of information on type of control changed. This means that TEC-results on type of control for 2020 and after are not comparable to those for earlier years. It has enhanced the quality of this breakdown.
Some remarkable developments are observed in 2022 as compared to TEC 2021 data. There are several causes for these developments. First, trade values have gone up about 30%, which is the result of both an increase in trade volume and higher prices. Second, the link between trade data and business register. was improved As a result of this, TEC-results for 2022 and after cannot be compared to those for earlier years.
