'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data).
The sectoral approach:
The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE) at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries.
Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level.
The sectoral approach is used for all indicators except data on high-tech trade and patents.
Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors in Annex 2 and 3.
Within the sectoral approach, a second classification was created, named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities.
The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions in Annex 7 and 8.
The product approach:
The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC).
The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. For more details, see definition of high-tech products in Annex 4 and 5.
High-tech patents:
High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition).
Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents in Annex 6.
The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments.
Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
Statistics on high-tech industry and knowledge-intensive services' domain uses various other domains and sources of Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS).
Below, the main concepts are explained by data type/data source. For more details, please refer to methodologies of the specific data source.
Not all national tables are necessarily available at regional level. To consult the list of available regional datasets, please consult the Annex 9.
1) Venture capital investments (VCI)
Data on Venture Capital Investments are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). The data are aggregated according to stage of development of venture capital. Because of the significant changes in the methodology of EVCA survey and consequent modifications in the structure of stages of development, the new VCI collection had to be added to include revised data from 2007 onwards.
For more information regarding methodologies, see the Venture Capital investment metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables HTEC_VCI_STAGE1 and HTEC_VCI_STAGE2.
2) High-tech trade (COMEXT)
High-technology trade data are compiled according to the product approach. The products classified high-tech depending on their R&D intensity (R&D expenditure/total sales) are aggregated into 8 high-tech groups on the basis of the Standard International Trade Classification (SITC). The definition in use presents the data according to SITC Rev.4. The definition by SITC Rev.3 is no more operational as the collection of data by SITC Rev.3 came to an end in 2006. For more details, see the aggregation list of high-tech products in Annex 4 and 5.
All high-tech trade data are extracted from the COMEXT database - Eurostat's database of official statistics on EU external trade and trade between EU Member States.
COMEXT database contains data on the import/export of goods of the EU Member States, Candidate Countries and EFTA. This database is administrated by Eurostat. The data are originally collected according to CN (Combined Nomenclature). The CN corresponds to the Harmonised Coding System (HS) which is a multipurpose international product nomenclature widely approved and used for example by the United Nations statistics on trade. Both CN and HS can be converted into SITC by the mean of correspondence tables.
Notice that high-tech exports include re-exported imports. That means some countries might show large figures due to that a large number of goods pass through the country and is counted as both imports and exports.
The following indicators on trade of high-tech products are calculated for the EU member states:
·Intra high-tech trade in million Euro
·Extra high-tech trade in million Euro
·Total high-tech trade in million Euro
·High-tech trade as a percentage of total
The indicator exports/ imports of high-tech products as a percentage of total is calculated as share of exports/imports of high-technology products from a country (entity) in total exports/imports from this country (entity).
In the case the EU, the total trade includes only extra-EU trade (i.e. they exclude intra-EU trade). This makes it possible to consider the EU as an entity and compare it with other countries. Nevertheless, figures for the individual EU Member States include intra-EU trade.
For more information regarding methodologies, see External trade statistics metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: HTEC_TRD_TOT4, HTEC_TRD_GROUP4 and HTEC_SI_EXP4.
3) Economic/employment statistics on high-tech industries and knowledge-intensive services (SBS)Data come from Structural Business Statistics (SBS) and are aggregated according to the sectoral approach at NACE Rev. 1.1 and NACE Rev.2 at 2-digit level.
For more information regarding methodologies, see the SBS metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: HTEC_ECO_ENT, HTEC_ECO_ENT2, HTEC_ECO_SBS, HTEC_ECO_SBS2, HTEC_EMP_SBS and HTEC_EMP_SBS2.
4) Employment in high-tech (LFS)
Data come from EU Labour force survey (LFS). Employed people are defined as persons aged 15 years and over who during the reference week performed work, even for just one hour a week, for pay, profit or family gain or were not at work but had a job or business from which they were temporarily absent because of, e.g., illness, holidays, industrial dispute and education and training. In high-tech statistics the population excludes anyone below the age of 15 or over the age of 74.
The data are aggregated according to the sectoral approach at NACE level 2. Until reference year 2008 sectors were aggregated according NACE Rev. 1.1 (see list in Annex 2). In 2008 NACE Rev. 2 was implemented (see list in Annex 3) and the data by NACE Rev.2 aggregated in high-tech sectors were presented in separate tables.
For more information regarding methodologies, see the LFS metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: HTEC_EMP_NAT, HTEC_EMP_NISCO, HTEC_EMP_NISCED, HTEC_EMP_REG, HTEC_EMP_RISCO, HTEC_EMP_RISCED, HTEC_EMP_NAT2, HTEC_EMP_NISCO2, HTEC_EMP_NISCED2, HTEC_EMP_REG2, HTEC_EMP_RISCO2 and HTEC_EMP_RISCED2.
5) HRST in high-tech
These data concern stocks of Human Resources in Science and Technology (HRST) in high-tech. The data on stocks are obtained from the EU Labour Force Survey (LFS), based on yearly data. An HRST stock can be defined as "the number of people at a particular point in time who fulfils the conditions of the definition of HRST" (see HRST metadata under Related metadata section). For data quality reasons, the population excludes anyone below the age of 15 or over the age of 74 from the figures.
Data have been aggregated according to the sectoral approach at NACE 2-digit level. Until reference year 2008 sectors were aggregated according NACE Rev. 1.1 (see list in Annex 2) but from reference year 2008 sectors are aggregated according NACE Rev. 2 (see list in Annex 3).
For more information regarding methodologies, see the HRST metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: HRST_ST_NSEC, HRST_ST_NSECSEX, HRST_ST_RSEC, HRST_ST_NSEC2, HRST_ST_NSECSEX2 and HRST_ST_RSEC2.
6) R&D expenditure and personnel in high-tech (R&D)
These data concern R&D expenditure and R&D personnel in the business enterprise sector (BES) and more specifically in high-tech. R&D data are compiled in accordance to the guidelines laid down in the ‘Guidelines for collecting and reporting data on research and experimental development’ - Frascati Manual (FM), OECD, 2015. Data have been aggregated according to the sectoral approach at NACE Rev. 1.1 and NACE Rev.2 at 2-digit level.
For more information regarding methodologies, see the R&D metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: HTEC_STI_EXP, HTEC_STI_PERS, HTEC_STI_EXP2 and HTEC_STI_PERS2.
7) High-tech and biotechnology patent applications to the EPO/patents granted by the USPTO (PATENT)
These data concern high-tech and biotechnology patent applications to the European Patent Office - EPO and patents granted by the US Patent & Trademark Office - USPTO. High-tech patents are defined according to another approach (neither sectoral nor product approach). The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition (see aggregation list in Annex 5).
For more information regarding methodologies, see Patent application to the EPO metadata and Patents granted by the USPTO metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: PAT_EP_NTEC, PAT_US_NTEC, PAT_EP_NBIO, PAT_US_NBIO and PAT_EP_RTEC.
8) Community innovation survey in high-tech (CIS)
The Community Innovation Survey is a survey on innovation activities in enterprises. The survey is conducted currently every two years. The CIS is based on the Guidelines for collecting and interpreting innovation data - Oslo Manual, OECD – Eurostat 2005, which gives methodological guidelines and defines the innovation concepts. Data are aggregated according to the sectoral approach based on NACE Rev. 1.1 - 2 digit level in 4 CIS waves (CIS1ight, CIS3, CIS4, CIS5) and starting with CIS 2008, the data collection is based on NACE Rev. 2 - 2-digit level.
For more information regarding methodologies, see the CIS metadata under Related metadata section.
The above mentioned information concerns the Eurobase tables: INN_CISL, HTEC_CIS3, HTEC_CIS4, HTEC_CIS5 and HTEC_CIS6.
9) Knowledge Intensive Activities (KIA)
The data in this sub-domain concern employment in Knowledge Intensive Activities (KIA) identified based on a level of tertiary educated persons in sectors of economic activity.
The data covering EU Member States, EFTA and candidate countries are extracted and compiled from EU-Labour Force Survey for the population aged 15-64, using annual average data. Two collections presenting KIA are available: one by NACE Rev.1.1 until reference year 2008, and the second by NACE Rev.2 starting with reference year 2008. Only time series by NACE Rev.2 is subject to annual updates.
The KIA collection by NACE Rev.2 contains as well the data for Japan and United States starting with 2008 reference year. Please note that for JP and US tabulated data public available have been extracted directly from JP Statistics Bureau and US Bureau of Labour Statistics websites. The source data in both countries are originally collected and presented according to the national classifications of sectors of economic activities. The KIA classification was constructed based on the correspondence tables rallying NACE Rev.2 with JSIC Rev.12 in Japan and US NAICS 2007 in United States.
The data source for Japan KIA indicator is the Japan Labour Force Survey (LFS). The data refer to the number of persons employed in economic sectors according to JSIC Rev.12 and aged 15-64 years old.
In the United States, the Current Population Survey (CPS) is the primary source of information for the labour force characteristics. Please note that in case of US data, the employment figures available refer to age group 16 years old and over and correspond to the US NAICS 2007 classification of economic activities.
It must be noted that among valid classifications of economic activities: EU - US and JP, a simple correspondence 1 - to - 1 is not always possible what might impact the values of the statistics shown.
In the high-tech domain, data have been aggregated according to the sectoral approach Knowledge Intensive Activities at NACE Rev. 1.1 - 2 digit level (see list in Annex 7) and NACE Rev. 2 - 2 digit level (see list in Annex 8).
The above mentioned information concerns the Eurobase tables: HTEC_KIA_EMP and HTEC_KIA_EMP2.
Dependent on the data source used:
·SBS and CIS – enterprises and local units
·Employment , HRST and KIA – individuals
·R&D – enterprises
·Patents - innovative activity within a country's borders that result in patent application to the EPO or in a patent granded by the USPTO
See metadata for the various primary sources under Related metadata section.
Dependent on the data sources used. See metadata for the various primary sources under Related metadata section.
European Union aggregates, EU Member States, Candidate Countries and EFTA countries. Other aggregates like United States and Japan depend on availability of data in the primary data sources.
Dependent on the data sources used. See metadata for the various primary sources under Related metadata section.
Statistics on high-tech come from various other domains and primary sources of Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS). Therefore, it is evident that if the data source contains errors, the corresponding high-tech data will not be accurate as well. In other words, the estimation of the accuracy of each high-tech sub-domains will be referred to each specific source used (see links under Related metadata section).
Data are expressed in various units depending on primary data source and target data collection and indicator:
- Trade, R&D expenditure: in Million €/ECU and as a % of total
- R&D personnel: in Head Count and Full-time Equivalent
- CIS: mainly in % of total
- Employment: in thousands of employees and % of total employment
- HRST: in thousands of persons and as a % of total labour force or % of total employment
- Patents: in number of units
Please see Annex 10 for details.
Dependent on the data sources used. See metadata for the various primary sources under Related metadata section.
The domain uses various other domains and sources of Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS). The source data links are found under Related metadata section.
Data are updated once or twice every year dependent on the periodicity of the data sources used.
Dependent on the data sources used. See metadata for the various primary sources under Related metadata section.
Dependent on the data sources used. See metadata for the various primary sources under Related metadata section.
Dependent on the data source used. For each source inconsistencies can occur, for example when data collected fluctuates because of changes in the way of collecting them. Eurostat identifies these changes by flagging the data as a "break in series". For details on these breaks in series, see the metadata of the data source used (see Related metadata section).
Comparability of regional data over time will be affected by breaks in the NUTS classification.