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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Eurostat, the statistical office of the European Union |
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1.2. Contact organisation unit | G5 - Trade in Goods |
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1.5. Contact mail address | L.2920 Luxembourg, LUXEMBOURG |
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2.1. Metadata last certified | 12/09/2023 | ||
2.2. Metadata last posted | 12/09/2023 | ||
2.3. Metadata last update | 12/09/2023 |
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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:
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. |
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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.
Statistical classifications can be accessed here. |
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3.3. Coverage - sector | |||
TEC data cover all activity sectors, from sections A to U of the NACE Rev. 2 classification. |
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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:
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.
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). 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. 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:
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. |
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3.5. Statistical unit | |||
The statistical unit shall be the enterprise. However the enterprise concept has not yet been implemented by all the reporting countries. When the enterprise concept has not yet been implemented, reporting countries use the legal unit as an approximation of the statistical unit. Legal unit and enterprise are defined as follows:
The Business Register Regulation 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 same regulation also defines the link between the legal unit and the enterprise. Via the legal unit, trade in goods data can then be linked to enterprise characteristics available in the Business Register such as the economic activity or the number of employees. |
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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:
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:
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3.7. Reference area | |||
Data are available for:
Note that until reference period 2021 only datasets 1 to 6 are provided by all the reporting countries. The country coverage was partial for datasets 7 to 10 as the information wass provided only on a voluntary basis. From 2022 reference period, all the 10 datasets became compulsory.
Computation of EU aggregates: The EU aggregate corresponds theoretically to the sum of the data published at Member State level. However, there is an exception, where some national data are confidential (and therefore unpublished) but could not be retrieved by deduction if taken into account for the compilation of the aggregate. In this case, the total value associated with the EU aggregate is the real one. It is greater than the sum of the published values per Member State, the discrepancy corresponding to the cumulative value of confidential data. Example: The national values reported by Member States A and B (respectively 100 for A and 200 for B) are confidential and therefore not published. The national values of the other Member States are all published, with an overall amount of 1000.
Incomplete EU aggregates are flagged as:
The EU aggregates have been compiled from reference year 2017 onwards. The EU composition differs according to the reference year:
Due to missing data for the United Kingdom, all EU aggregates relating to reference year 2019 have been estimated and therefore flagged with ‘E’. Due to missing data for Bulgaria, all EU aggregates relating to reference year 2021 have been estimated and therefore flagged with ‘E’.
Breakdown of EU aggregates by business and trade characteristics The computation of EU aggregate, as explained above, is done for each combination of information available in the TEC datasets, both at the total level and at the most detailed level (e.g. by activity and enterprise size). Additivity between total and detailed levels in business and trade characteristic is therefore not guaranteed. In other words, an EU aggregate at total level does not systematically correspond to the sum of EU aggregates at detailed level. The difference between the total and detailed levels is usually null or positive (i.e. higher total), but it can also be negative (i.e. lower total), although these cases are exceptional. |
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3.8. Coverage - Time | |||
Data availability per reference year See document TEC Quality indicators |
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3.9. Base period | |||
Not applicable. |
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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:
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6.1. Institutional Mandate - legal acts and other agreements | |||
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
Extra-EU trade legislation
As of 1 January 2022, ITGS are based on the following regulations
Business Registers legislation
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. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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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. |
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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 (NSAs) 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:
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8.1. Release calendar | |||
No release calendar as such but the practice to publish TEC data at country level once they have passed all the quality checks. If all the validation rules are met, this means within a few days after the data transmission by the reporting country to Eurostat. Note that this practice applies both for a new reference year and for revisions. |
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8.2. Release calendar access | |||
Not applicable. |
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8.3. Release policy - user access | |||
In line with the EU legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat’s website (see item 10 ‘Accessibility and clarity’) respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users. |
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Statistics by enterprise characteristics are updated once a year with a new reference year. Historical data are exceptionally revised. |
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10.1. Dissemination format - News release | |||
No news release |
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10.2. Dissemination format - Publications | |||
Statistics Explained is an official Eurostat website presenting all statistical topics in an easily understandable way. Together, the articles make up an encyclopaedia of European statistics, completed by a statistical glossary clarifying all terms used and numerous links to further information and the very latest data and metadata. One of the Statistics Explained articles relating to international trade in goods statistics is dedicated to TEC data. |
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10.3. Dissemination format - online database | |||
All TEC datasets can be accessed via the following channels:
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10.3.1. Data tables - consultations | |||
Not available. |
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10.4. Dissemination format - microdata access | |||
Not applicable. |
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10.5. Dissemination format - other | |||
Not applicable. |
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10.5.1. Metadata - consultations | |||
Not available. |
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10.6. Documentation on methodology | |||
European business statistics compilers’ manual for international trade in goods statistics – trade by enterprise characteristics — The main objective of this Guide is to provide a comprehensive overview of the compilation of indicators on trade in goods by enterprise characteristics (TEC). It aims to serve as a methodological handbook providing the necessary definitions, instructions and methodological guidance for the regular compilation of TEC statistics. |
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10.6.1. Metadata completeness - rate | |||
100% |
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10.7. Quality management - documentation | |||
Quality Report on European statistics on international trade in goods — This Report provides users with a tool to assess the quality of the international trade in goods statistics published by Eurostat. The data quality can be assessed against indicators covering the following components: relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability and coherence. |
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11.1. Quality assurance | |||
Quality reporting and assessment Both Intrastat and Extrastat basic acts (in force since 2009 for Intrastat and since 2010 for Extrastat) include standardised quality articles. These articles are in line with the ESS Quality definition, European Statistics Code of Practice and the Regulation of European Statistics. In particular, they require the Member States to provide Eurostat with annual quality reports within a fixed deadline. Since 2012, TEC data are covered by those reports which are used for quality and compliance assessments.The following TEC quality indicators are compiled for each reference year:
Data quality checks prior to any dissemination The prime responsibility for ensuring the data completeness and accuracy rests with the National Statistical Authorities. Further checks are carried out by Eurostat, essentially to ensure that the transmission of the requested data has been carried out satisfactorily, that datasets are complete, error-free, and there are no extreme values (outliers). |
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11.2. Quality management - assessment | |||
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. Therefore their quality primarily depends on the quality of these two data sources. It also depends on the methodology followed for the linkage between the Trade Register and the Business Register and the way the methodologically complex issues have been handled. |
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12.1. Relevance - User Needs | |||
Trade in goods data broken down by economic activity, size-class of enterprises, trade concentration, geographical diversification and products traded are 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. |
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12.2. Relevance - User Satisfaction | |||
No user survey on TEC data was carried out so far but direct feedback from main users like the Commission policy DGs indicates a good level of satisfaction as regards the data coverage and indicators available. The timeliness is however assessed as to be improved, which has been taken into account in new legal provisions currently in preparation. |
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12.3. Completeness | |||
International trade in goods statistics by enterprise characteristics are based on the EU legislation which is directly applicable in the EU Member States. In particular, the Intrastat and Extrastat regulations include a clear and precise list of all the TEC mandatory datasets to be provided by the Member States to Eurostat. All the mandatory datasets are provided by all the Member States. |
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12.3.1. Data completeness - rate | |||
See document TEC Quality indicators |
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13.1. Accuracy - overall | |||
The accuracy is tackled at national and European levels, by eliminating as much as possible the non-sampling errors. It should be noted that the accuracy of TEC data depends not only on the accuracy of trade in goods statistics but also on the quality of the trade and business registers. |
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13.2. Sampling error | |||
Not applicable. Neither the international trade in goods statistics, nor the business registers are affected by errors related to sample surveys. |
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13.2.1. Sampling error - indicators | |||
Not applicable. |
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13.3. Non-sampling error | |||
The accuracy of TEC data is primarily impacted by issues in the collection and compilation of detailed trade in goods statistics (e.g. thresholds, non-response, delayed declarations, estimated trade value) as well as in the management of the trade and business registers (e.g. invalid ID number in the Trade Register, missing activity sector in the Business Register). Issues may also occur in the linkage between the Trade Register and the Business Register. Although the general principles on data linking are clear and straight-forward, there are several methodologically complex issues which need to be addressed more carefully, like business demographic changes, problematic linkages caused by complex business structures, missing or estimated data and non-established traders. |
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13.3.1. Coverage error | |||
Not applicable. |
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13.3.1.1. Over-coverage - rate | |||
Not applicable. |
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13.3.1.2. Common units - proportion | |||
Not applicable. |
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13.3.2. Measurement error | |||
Not applicable. |
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13.3.3. Non response error | |||
See concepts 13.3.3.1 and 13.3.3.2. |
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13.3.3.1. Unit non-response - rate | |||
See document TEC Quality indicators |
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13.3.3.2. Item non-response - rate | |||
See document TEC Quality indicators |
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13.3.4. Processing error | |||
Not applicable. |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | |||
Up to reference period 2021: Annual data by enterprise characteristics shall be provided by the reporting countries to Eurostat no later than 18 months after the end of the reference year. This means that data relating to the reference year Y (e.g. 2020) shall be provided by 30 June Y+2 (e.g. June 2022). The transmitted data are usually disseminated by Eurostat with a time lag of a couple of months. From reference period 2022: Annual data by enterprise characteristics shall be provided by the reporting countries to Eurostat no later than 12 months after the end of the reference year. This means that data relating to the reference year Y (e.g. 2022) shall be provided by 31 December Y+1 (e.g. December 20223. The transmitted data are usually disseminated by Eurostat with a time lag of a couple of months. |
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14.1.1. Time lag - first result | |||
See document TEC Quality indicators |
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14.1.2. Time lag - final result | |||
Not applicable. |
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14.2. Punctuality | |||
Nearly all EU Member States are currently able to meet the legal transmission deadline. This deadline is also generally met by the EFTA and enlargement countries providing TEC data. |
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14.2.1. Punctuality - delivery and publication | |||
See document TEC Quality indicators |
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15.1. Comparability - geographical | |||
From a methodological point of view, the comparability across countries is ensured by the implementation of the concepts and definitions set up by the EU legislation and by the application of the complementary guidelines provided by the European business statistics compilers’ manual for international trade in goods statistics – trade by enterprise characteristics. However in practice, not all the requirements have been fully implemented by all countries, which lower the level of geographical comparability. One of the main issues is the definition of the statistical unit. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable. |
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15.2. Comparability - over time | |||
Changes due to definitions, classifications, coverage or methods will have an impact on the continuity of the time series. No methodological change occurred in recent years. The only change relates to the definition of the intra- versus extra-EU areas following Croatia's adhesion to the EU in 2013 and the United Kingdom withdrawal in 2020.
Estimates for missing trade data compiled by reporting countries and impact on TEC data TEC data are compiled by linking detailed trade in goods statistics with business characteristics available in the national business register. This linking is based on the identification of the legal unit operating the trade transaction. Any transaction for which the legal unit cannot be identified (or can be identified but for which no business characteristic is available) is out of the scope of the TEC datasets. There are several cases where the legal unit (i.e. the trader) is not necessarily identified in detailed statistics but the most problematic one relates to the estimates compiled to compensate for missing data:
While considered as negligible in extra-EU trade data, the share of estimates in intra-EU trade data can be significant. For detailed statistics to be provided to Eurostat, the minimum requirement is met if missing data are globally estimated with a breakdown by partner country and commodity code at chapter level of the Combined Nomenclature (CN2 code). However estimates can only be included in TEC data if compiled at trader level, making thus possible the linking with the business register. In addition, it should be noted that the compilation of TEC data by commodity according to the CPA (Classification of Products by Activity in the European Economic Activity) is not possible if estimates are only available at CN2 level. Similarly TEC data by partner country requires that estimates are compiled for each trader with a partner country allocation. When done, this partner country allocation is usually based on fiscal information. The compilation and processing of estimates diverge across countries, resulting in different degree of accuracy of the TEC data. In addition, changes in the way estimates are processed lead to breaks in time series, especially in terms of number of enterprises. For more details on the national practices and explanations on breaks in time series, please consult the national metadata.
Trade with the United Kingdom Following Brexit, the UK became a non-EU country in 2020. Trade with UK is therefore classified under the extra-EU partner area from reference year 2020. However, in contrast with the other non-EU countries, data on trade with UK are not necessarily issued from customs declarations:
Data on trade with UK which have been compiled from statistical declarations are impacted by the issue with the estimates described in the previous section. This fully applies to reference year 2020 but also to the following years, although to a less extent, due to the trade with Northern Ireland. Break in series on trade with UK might be observed in 2020 and/or 2021 according to the reporting country. This is particularly true for series relating to the number of enterprises as changes in value terms might be less pronounced. For more details, please consult the national metadata. |
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15.2.1. Length of comparable time series | |||
See national metadata |
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15.3. Coherence - cross domain | |||
Apart from the TEC domain, information on trade flows can be found in the aggregated and detailed trade in goods statistics. The intra-domain checks carried out by Eurostat before any data dissemination ensure the coherence between the trade values published in TEC datasets and trade values coming from aggregated and detailed trade in goods statistics. |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable. |
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15.3.2. Coherence - National Accounts | |||
Not applicable. |
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15.4. Coherence - internal | |||
The internal coherence of the TEC datasets is ensured by the intra- and inter-dataset checks carried out by Eurostat before any TEC data dissemination. See item 18.4 ‘Data validation’ for more details.
Breakdown of EU aggregates by business and trade characteristics The computation of EU aggregate, as explained under concept 3.7, is done for each combination of information available in the TEC datasets, both at the total level and at the most detailed level (e.g. by activity and company size). Additivity between total and detailed levels in business and trade characteristic is therefore not guaranteed. In other words, an EU aggregate at total level does not systematically correspond to the sum of EU aggregates at detailed level. The difference between the total and detailed levels is usually null or positive (i.e. higher total), but it can also be negative (i.e. lower total), although these cases are exceptional. |
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TEC data are derived from information made available by two major statistical domains: the international trade in goods statistics and the business statistics. No specific data collection is then necessary, which means that the burden is null for the respondents, i.e. for the traders and businesses. The cost of TEC data only relates to the compilation step carried out by the National Statistical Authorities. |
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17.1. Data revision - policy | |||
As data are generally deemed to be final at the time of transmission to Eurostat, most reporting countries have no formal revision policy. However should any major revisions occur in the context of the compilation of monthly trade in goods statistics, these should be reflected in the TEC data, which should be revised accordingly, and re-transmitted to Eurostat. Eurostat accepts any data revisions insofar as they comply with all validation rules. |
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17.2. Data revision - practice | |||
Statistics by enterprise characteristics are only exceptionally revised by the countries. |
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17.2.1. Data revision - average size | |||
Not applicable. |
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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:
Note that missing data (exempted intra-EU traders, missing Intrastat declarations, incomplete or delayed customs declarations) are estimated by the National Statistical Authority in order to disseminate trade in goods data covering 100% of the trade but those estimates are not part of the TEC data. 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. Some differences in the coverage among the countries can occur. Different administrative sources depending on national law, as well as surveys, are used to update the business registers, and in some countries VAT thresholds for registration apply. |
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18.2. Frequency of data collection | |||
Annual |
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18.3. Data collection | |||
Collection of trade in goods data
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. |
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18.4. Data validation | |||
TEC data disseminated by Eurostat have passed the following quality checks:
See the section ‘Data validation’ of the European business statistics compilers’ manual for international trade in goods statistics – trade by enterprise characteristics for information on the main validation rules implemented. |
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18.5. Data compilation | |||
Not applicable |
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18.5.1. Imputation - rate | |||
No imputation made by Eurostat |
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18.6. Adjustment | |||
The trade in goods data used to compile the TEC data do not include adjustments for missing trade (trade below threshold and non-response in intra-EU trade; missing, delayed and incomplete records for extra-EU trade). There are no specific adjustments made to the TEC data. |
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18.6.1. Seasonal adjustment | |||
Not applicable. |
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All reference documents and relevant information on TEC data can be found on the ‘Focus on enterprise characteristics (TEC)’ page of the ‘International trade in goods’ section on Eurostat website. |
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