Back to top

International trade in goods - trade by enterprise characteristics (TEC) (ext_tec)

DownloadPrint

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Hellenic Statistical Authority

Need help? Contact the Eurostat user support

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 enterprises 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. Mandatory datasets 1 to 6 are available for Greece:

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) 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. enterprises.

3. Trade by partner country and activity — Trade by partner country shows how many enterprises 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. It shows the number of countries from which goods are imported from or exported to.

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 in goods. It shows the number of enterprises trading within only one flow (exports or imports) or in both flows and the trade value these enterprises account for.

5 January 2021

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.

The population of TEC data derives from Intrastat and Extrastat legal units.

 

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

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.

 

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.

  • Legal persons in the framework of Intra EU Trade system.
  • Legal persons submitting custom declaration in a Member State in the framework of extra-EU Trade, on condition that the customs procedure has statistical relevance.
  • Legal unit  was used as statistical unit for TEC data . The relevant TEC data based on the statistical unit ‘enterprise’ will be compiled for the next reference year, given that the information on the connection between legal units and enterprises has been recently incorporated in the Statistical Business Register. It has to be noted that for the vast majority of units (above 97%) the following equation holds: 1 legal unit = 1 enterprise.

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 statistical 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 Statistical Business Register; and
  • Trade carried out by private individuals.

Greece.

All regions of Greece are covered. The statistical territory of Greece coincides with their customs territory as defined in Article 3 of Regulation (EEC) No. 2913/92 of 12 October 1992 establishing the Community Customs Code, as amended.

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.

See item 13.1 ‘Accuracy - overall’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.

TEC data disseminated at national level

  • Trade value in thousands of euros
  • Number of enterprises
  • Number of employees in units

TEC data disseminated by Eurostat

  • Trade value in thousands of euros
  • Number of enterprises

1) Upload annual ITGS data to tables designed for TEC data;

2) Update TEC variables (NACE Rev. 2, employees, etc.);

3) Production of TEC tables;

4) Impose confidentiality rules;

5) Validations process according to Eurostat relevant rules.

 

More specifically, the procedure for the compilation of statistics on trade by enterprise characteristics (TEC) is described as follows:

The trade value of each trader is linked with in the ITGS Register and the statistical business register.

A number of tables (datasets) according to the data requirements are generated. The reference population 8 is used in all TEC tables:

0. Reference populations

1. Trade by activity sector and type of trader

2. Trade by activity sector and enterprise size class

3. Concentration of trade by activity

4. Trade by partner countries and activity

5. Trade by number of partner countries and activity

6. Trade by commodity and activity

 

The breakdown variables used in the production of the Tables are:

 

Flow: imports and exports

 

Activity sector: The requested data on TEC have to be made available according to NACE Rev. 2 classification. Three different levels of breakdowns are used:

1. Aggregated breakdown in tables 3, 4 and 5:

  • Industry (B to E)
  • Trade (G)
  • (A,F, H to U)

2. Normal breakdown in tables 1, 2 and 6:

  • Division level for sections C (10 to 33) and G (45 to 47)
  • Section level for sections A, B, D, E, F, H, J, K, L, M, N
  • Other for activities I and O to U
  • Unknown
  • Total

 

Enterprise size class: measured in numbers of employees. For the purpose of TEC, the following allocation is used:

  • 0 to 9 employees
  • 10 to 49 employees
  • 50 to 249 employees
  • 250 or more employees
  • Unknown (_U)
  • Total (_T)

 

Concentration of trade: expressed in terms of trade value concentrated in a few top enterprises. ‘Top enterprises’ are the largest enterprises measured in terms of trade value. The following allocation is used:

  • Top 5 enterprises (T5)
  • Top 10 enterprises (T10)
  • Top 20 enterprises (T20)
  • Top 50 enterprises (T50)
  • Top 100 enterprises (T100)
  • Top 500 enterprises (T500)
  • Top 1000 enterprises (T1000)
  • Total (_T)

 

Partner: The requested data on TEC is broken down into a) Total trade (WORLD), b) Intra-EU trade (INT_EU) and c) Extra-EU trade (EXT_EU).

 

Number of partner countries: The number of partner countries is calculated by counting first the number of individual partner countries of each enterprise. The enterprises with the same number of partner countries are then summed up to form the following first seven classes:

  • 1 partner country
  • 2 partner countries
  • 3 to 5 partner countries
  • 6 to 9 partner countries
  • 10 to 14 partner countries
  • 15 to 19 partner countries
  • 20 or more partner countries
  • Unknown (_U)
  • Total (_T)

 

Commodity: The requested data on TEC have to be made available according to the Classification of Products by Activity in the European Economic Activity (CPA 2008).The following breakdowns is used:

  • CPA divisions for section C (divisions 10 to 32);
  • Section level for the products of sections A, B, D and E;
  • Other for rest of the products (_O);
  • Unknown (_U) for the products which are not classified at CN8 level. These include also estimates of trade below the exemption threshold;
  • Total (_T).

 

Type of trader: Legal Untis are broken down according to their trade activity into traders who have only export activities, traders who have only import activities and traders who have trade activities in both flows.

  • Exporter only (EXP)
  • Importer only (IMP)
  • Two-way trader (TWT)

Three other categories are derived:

  • All importers (IMP + TWT)
  • All exporters (EXP + TWT)
  • All trading enterprises (EXP + IMP + TWT)

 

Compilation instruction in Table 1: the categorisation of traders has to be based on the total trade (partner world), taking into account all data sources. Every enterprise can be categorised to only one class (EXP or IMP or TWT). After categorisation, it is included in the counting of number of enterprises and contribution to the trade value by flow and partner.

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 statistical business registers.

Trade in goods data are collected on the basis of:

  • a census for the intra-EU trade, the census units being the traders whose annual trade value is above the national Intrastat exemption threshold and who are then liable to submit an Intrastat declaration; and
  • administrative forms, the customs declarations, for the extra-EU trade.

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 but those estimates are not part of TEC data.

The national statistical 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 statistical business registers, and in some countries VAT thresholds for registration apply.

Statistics by enterprise characteristics are updated once a year with a new reference year. Historical data are exceptionally revised.

See item 14.1 ‘Timeliness’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.

See item 15.1 ‘Comparability - geographical’ of the related metadata ‘ext_tec_sims - International trade in goods – trade by enterprise characteristics (TEC)’.

Revised international trade in goods statistics as regards the time series 2010-2018 and the period from January – April 2019 was disseminated in July 2019. The main reason that led to this revision was the implementation of the principle of economic ownership for imports/arrivals and exports/dispatches of ships and aircrafts in line with the provisions of the EU Regulations 96/2010 and 113/2010. The TEC data for the reference years 2010-2017 will be revised and disseminated accordingly.