Statistics Explained

Archive:High-tech statistics

Data from February 2015. Most recent data: Further Eurostat information, Main tables and Database.

This article analyses data on high-technology or 'high-tech' sectors in the European Union (EU) and in some EFTA and candidate countries. Creating, exploiting and commercialising new technologies is essential in the global race for competitiveness and high-tech sectors and enterprises are key drivers of economic growth, productivity, and generally a source of high value-added and well-paid employment.

High-tech is defined in Eurostat's statistics according to three different approaches:

  • the sector approach looks at the high-tech manufacturing sector, the medium high-tech manufacturing sector, and the high-tech knowledge-intensive service sector, focusing on employment and economic indicators;
  • the product approach considers whether a product is high-tech or not and examines trade in high-tech products;
  • the patent approach distinguishes high-tech patents from others and also defines what biotechnology patents are.

Main statistical findings

Table 1: Economic statistics on high-tech sectors, EU-28, 2012
Source: Eurostat (htec_eco_sbs2)
Table 2: Statistics on employment in high-tech sectors, EU-28 and selected countries, 2013
Source: Eurostat (htec_emp_nat2)
Figure 1: High-tech exports by high-technology group of products, EU-28 and selected countries, 2013
Source: Eurostat (htec_trd_group4)
Figure 2 - Regional disparities in employment in high-tech sectors as a percentage of total employment (NUTS 2 level), 2013 (1)(2)
Source: Eurostat (htec_emp_reg2)

Economic statistics on high-tech

In 2012, the European Union had almost 46 000 enterprises in high-tech manufacturing (Table 1). High-tech manufacturers were most numerous in Germany, the United Kingdom, Italy and the Czech Republic, all together accounting for around 53 % of the high-tech sector in the EU-28. The United Kingdom displayed the greatest number of enterprises in the high-tech knowledge-intensive services sector (156 511), followed by France and Italy.

An interesting picture emerges when considering turnover and value added in high-tech manufacturing: Germany led the series in 2012, with totals more than twice as high as in the countries with comparable numbers of high-tech manufacturers. Germany's turnover rounded to EUR 113 billion in high-tech manufacturing, ahead of France (EUR 70 billion) and Italy (EUR 47 billion). The value added was distributed in 2012 in a similar way, with the highest contribution of Germany close to EUR 39 billion, followed by France and the United Kingdom (EUR 20 billion and EUR 18 billion, respectively). The turnover value figures were higher for high-tech KIS sector comparing to high-tech manufacturing in all the countries for which data are available except for the Czech Republic, Estonia, Hungary and Slovakia. Knowledge intensive services sector generated the production value at least three times higher than high-tech manufacturing sectors in the United Kingdom, Portugal, Lithuania, Croatia, Spain, Romania and the Netherlands.

Employment in high-tech

In 2013, almost 34 million people were employed in the manufacturing sector in the EU-28, representing 15.5 % of the total employment. Out of these 34 million workers, 2.4 million were employed in high-tech manufacturing, which corresponded to 1.1 % of total employment. High-tech KIS sector in 2013 was more than double that of high-tech manufacturing and accounted for 2.8 % of total employment.

The shares of both manufacturing and services in the high-technology sectors in total employment varied considerably from one country to another in 2013. High-tech manufacturing shares ranged from 0.3 % in Turkey and the Former Yugoslav Republic of Macedonia, to 2.5% in Switzerland and Hungary, 2.6% in Malta and 3.0 % in Ireland. Discrepancies in terms of the proportion of high-tech KIS in total employment were also observed across countries. In 2013, the biggest share of more than 4 % was recorded in Sweden, Ireland, Finland and Iceland, and the lowest of below 2 % was found in Turkey, the Former Yugoslav Republic of Macedonia and Romania (see Table 2).

At the EU-28 level, over the 2008–2013 period, the average annual growth rate (AAGR) for the employed persons in high-tech sectors was negative. The number of employed persons in manufacturing sector decreased by roughly 2.4% a year; during the same period, the high-tech manufacturing recorded a slower fall of 1.5 % a year (on average).This decrease in employment can be partially explained by the economical crisis in 2010 affecting numerous European countries. The impact of the crisis was also observed in the services sector which recorded only a slight growth of 0.4 % a year from 2008 to 2013. At the same time, the high-technology KIS showed a certain resistance to the crisis and recorded a rise in the number of jobs at the level of 1.1 % on average per year from 2008 to 2013. Some important differences emerge when comparing the employment change among countries with significant growth on the one hand, and equally significant decline on the other. Twenty one out of thirty-three observed countries registered a fall in the employment in high-tech manufacturing in the 2008–2013 period, with the biggest fall of 29.3 % recorded in the Former Yugoslav Republic of Macedonia, followed by a fall of 8.8 % in the Netherlands and 8.0 % in Finland. Growth in high-tech manufacturing was observed in the following five countries: Romania (6.8 %), Turkey (6.4 %), Malta (4.6 %), the Czech Republic (3.3 %), and Germany (1.8 %). The loss in high-tech KIS was more much moderate. Only five countries registered a decline, with the biggest job loss reported in the Netherlands (-2.5 %) and Cyprus (-2.3 %). The best performing countries in terms of the growth of the employment in high-tech KIS were Turkey (13.4 %), the Former Yugoslav Republic of Macedonia (5.4 %), Estonia and Luxembourg (5.2 %).

In 2013, in the EU-28, women accounted for 29.6 % of the employment in manufacturing and this share reached 38.0 % in high-tech manufacturing. However, in 2013, even if in general the shares of women were higher in high-tech manufacturing than in manufacturing, only five countries reported shares higher for women in high-tech manufacturing (above 50 % of all the employed): Portugal, Estonia, Bulgaria, Poland and the Czech Republic.

In contrast, the high-tech KIS sector, as compared to the total services sector, showed lower shares of women in all countries with the EU-28 average of 30.7 % in high-tech KIS and 54.3 % in services in 2013. Moreover, none of the countries reached the gender balance in high-tech KIS in 2013: lowest share was recorded in the Netherlands (21.6 %), the Czech Republic (22.6 %) and Slovakia (24.1 %). On the other hand, women were relatively strongly represented in Romania (39.3 %), Lithuania (40.0 %) and Bulgaria (41.3 %). Specificities of the economic activities included in the aggregate: Computer programming, Scientific research and development, Telecommunication, and corresponding occupations seem to remain more alluring for males than females.

Trade in high-tech products

Trade in high-tech products refers to the import and export of products identified as being of high-technology. The high-tech products are divided in 9 groups: ‘Aerospace’, ‘Armament’, ‘Chemistry’, ‘Computer-office machines’, ‘Electrical machinery’, ‘Electronics-telecommunications’, ‘Non-electrical machinery’, ‘Pharmacy’, ‘Scientific instruments’. On the EU-28 level, the export value of high-tech products represented 15.3 % of all exports value in 2013. The two groups of products, i.e. ‘Electronics – telecommunication’ and ‘Aerospace’, accounted together for 46.6 % of the high-tech exports worldwide (Figure 1). ‘Scientific instruments’, ‘Computer – office machines’ and ‘Pharmacy’ jointly represented two fifths of global high-tech exports. By contrast, ‘Chemistry, ‘Non-electrical machinery’, ‘Electrical machinery’ and ‘Armament’ summed up to a mere 12.3 % of total high-tech exports.

In terms of total exports value within the EU-28, Germany was the leading exporter of high-tech products in 2013, followed by the Netherlands, France, the United Kingdom and Belgium. For the aforementioned countries except the United Kingdom, a positive high-tech trade balance was noted as well.

In 2013, the half of observed countries recorded an increase in high-tech exports compared to 2012.

High-tech employment at regional level

At the EU-28 level, in 2013, the high-tech sectors (high-tech manufacturing and high-tech KIS) represented 3.9 % of the total employment with two-thirds of persons occupied in high-tech knowledge-intensive services and one-third occupied in high-tech manufacturing. Figure 2 shows the regional discrepancies in high-tech sectors (by NACE Rev. 2) as a share of total employment. This figure combines the national average for each country as well as the regions with the lowest and highest shares of employment in high-tech sectors.

The national averages and regional highest and lowest shares vary significantly from country to country.

With regard to national averages, 15 out of 33 observed countries registered values higher than the EU-28 average (3.9 %), with rates of more than 5.0 % in Ireland, Malta, Finland, Switzerland, Denmark and Hungary. On the other hand, the lowest national shares of high-tech sectors in total employment (of below 2.5 %) were registered in Greece, Portugal, Romania, Lithuania, the Former Yugoslav Republic of Macedonia and Turkey. It must be noted that 6 EU-28 countries (Estonia, Cyprus, Latvia, Lithuania, Luxembourg and Malta) and Iceland are classified only at country level, taking into account the regional data presented in Figure 2.

At regional level, high shares of employment in high-tech sectors are often observed in capital regions or regions situated close to capitals. Berkshire, Buckinghamshire and Oxfordshire (United Kingdom), situated in close proximity to London, stood out with 10.9 % of their labour force in high-tech sectors. The following regions rated similarly: Comunidad de Madrid (ES) with 9.6 %, Hovedstaden (DK) with 9.4 % and Praha (CZ) with 9.1 %. By contrast, the lowest shares of less than 1 % were registered in Aydin, Denizli, Mugla (TR), Sud-Vest Oltenia (RO) and Thessalia (EL). Turkey, Romania, Spain, Greece, Italy and the United Kingdom showed the biggest regional discrepancies when assessed by the ratio of the highest share to the lowest share. The lowest discrepancies in employment between regions were observed in Ireland, Slovenia, Croatia and Switzerland.

Data sources and availability

High-tech statistics uses various other domains and sources of Eurostat's official statistics (CIS, COMEXT, HRST, LFS, SBS, PATSTAT and R&D). The domain's coverage and availability is therefore dependent on these primary sources.

The sectoral approach is an aggregation of manufacturing industries according to technological intensity (R&D expenditure/value added) and it is based on the Statistical classification of economic activities in the European Community (NACE) at 2-digit level for compiling aggregates related to high-technology, medium high-technology, medium low-technology and low-technology. 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.

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 separate tables depending on data availability.

The product approach was created to complement the sectoral approach. 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 product approach is used for data on high-tech trade.

Due to the revision of SITC from SITC Rev. 3 to SITC Rev. 4, the definition of high-tech products has also changed in 2011. The data in this article are according to SITC Rev. 4.

Context

In the context of economic globalisation, technology is a key factor in enhancing growth and competitiveness in business. High technology industries are those expanding most strongly in international trade and their dynamism helps to improve performance in other sectors. Investment in research, development, innovation and skills constitutes a key policy are for the EU as there are essential elements to economic growth and to the development of a knowledge-based economy.

Since the Lisbon council in 2000 through the Barcelona initiative and in the Europe 2020 strategy, the research, development, science and technology have been acknowledged as factors of the growing competitiveness, better and well-paid jobs, greater social cohesion and smart, sustainable and inclusive economy. The goals identified for the first time in the Lisbon strategy and re-defined in Europe 2020 strategy created a need to measure their progression and achievements.

The production and development of community statistics on science and technology are governed by Decision 1608/2003/CE of the European Parliament and of the Council of 22 July 2003. This document clearly highlights the need for comparable data on research and development, technological innovation, and science and technology. The aim is to create an EU information system on science, technology and innovation in order to support and monitor the various EU policies implemented in this respect.

In 2004, the Commission adopted the regulation (CE) No 753/2004 to the Decision setting down the framework for the standards, definitions and classifications used in the production of community statistics on science and technology.

In order to take into account the developments in the area of statistics on science and technology, as well as requests for new and more detailed and frequent statistics, new implementing measures were laid down in 2012, the regulation (EU) No 995/2012.

The framework related to statistics on high-technology industries and knowledge-based services consist principally on exploiting existing national and international data sources more effectively (also within the European statistical system). This work also comprises the identification and classification of activities and products, the measurement of economic performance of these activities and their contribution to performance of the economy as a whole.

Launched in 2010, the Europe 2020 strategy sets out a vision of Europe's social market economy for the 21st century and puts forward three priorities that go together and reinforce each other:

  • Smart growth: developing an economy based on knowledge and innovation;
  • Sustainable growth: promoting a more resource efficient, greener and more competitive economy;
  • Inclusive growth: fostering a high-employment economy, delivering social and geographical cohesion.

The European Commission has also defined seven flagship initiatives to create progress under the Europe 2020 strategy. One of these is the ‘Innovation Union’, supporting ‘Smart growth’. The Innovation Union initiative improves the framework for research and innovation in the EU. Over thirty actions points were published on 6 October 2010. For example, the Innovation Union prioritises a gender balance in research careers in the European Research Area framework. It recommends that Member States fully take gender and dual career considerations into account in their national R&D strategies.

Moreover, the Commission Communication published on October 2010 - 'Regional Policy contributing to smart growth in Europe 2020' - shows how EU regional funding is essential to achieve growth, by targeting investment in innovation in all regions. A key plank of this is to encourage national and regional governments to design 'smart specialisation strategies' to help regions identify their best assets. Concentrating resources on a limited number of priorities will ensure a more effective use of public funds and help to lever in higher levels of private investment.

Following the request from the European Council, the Commission furthermore adopted on 13 September 2013 its Communications ̒'Measuring innovation output: towards a new indicator̕ . The indicator measures the extent to which ideas from innovative sectors are able to reach the market, providing better jobs and making Europe more competitive. It supports the benchmarking of national innovation policies and shows significant differences between EU countries. This indicator makes use of the several Eurostat’s STI statistics and concepts.

The strategy for Europe 2020 includes trade opening initiatives for ̒sectors of the future̕ and high-tech products and services are considered to be as such.

See also

Further Eurostat information

Publications

Main tables

High-tech industry and knowledge-intensive services (t_htec)

Database

High-tech industry and knowledge-intensive services (htec)
High-tech industries and knowledge-intensive services: economic statistics at national level (htec_eco)
High-tech industries and knowledge-intensive services: employment statistics at national and regional level (htec_emp)
Knowledge Intensive Activities (htec_kia)
High-tech industries and knowledge-intensive services: science and technology statistics at national and regional level (htec_sti)

Dedicated section

Methodology / Metadata

Other information

  • Decision 1608/2003 of 22 July 2003 concerning the production and development of Community statistics on science and technology (Legal text)
  • Commission Implementing Regulation (EU) No 995/2012 of 26 October 2012 laying down detailed rules for the implementation of Decision No 1608/2003/EC of the European Parliament and of the Council concerning the production and development of Community statistics on science and technology (Legal text)

External links