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Ирландия

  • Население:4 612 719 (2014)
  • Площадь:68 890 (2014)
  • ВВП на душу населения:54 374 (2014)
  • ВВП, млрд. долл. США:251 (2014)
  • Индекс Джини:32,06 (2010)
  • Рейтинг Ease of Doing Business:17 (2015)
Все наборы данных:  B C E G H I K M O R S T U W
  • B
    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2015
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in this view of “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria)). The two tables that follow, “BERD by industry and source of funds” and “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 ноября, 2015
      Выбрать
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 апреля, 2016
      Выбрать
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by source of funds (business enterprise, government, other national funds, and funds from abroad). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and source of funds” and the one that follows, “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 апреля, 2016
      Выбрать
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2000 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by type of costs (current expenditure, capital expenditure). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and type of costs” and the preceding one “BERD by industry and source of funds” present data for only one of the criteria, depending on the country.
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2015
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      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector. Data include total business enterprise intramural expenditure on R&D by size class and source of funds.
    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2015
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      This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification.
  • C
    • Июнь 2012
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2014
      Выбрать
      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
  • E
  • G
    • Сентябрь 2015
      Источник: GII
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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      The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation and provide the tools that can assist in tailoring policies to promote long-term output growth, improved productivity, and job growth. The GII helps to create an environment in which innovation factors are continually evaluated. It provides a key tool and a rich database of detailed metrics for 141 economies this year, which represent 95.1% of the world’s population and 98.6% of global GDP.
    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 августа, 2015
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      This table presents data on Government appropriations or outlays for RD (GBAORD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge: RD financed from General University Funds (GUF), General advancement of knowledge: RD financed from sources other than GUF, Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GBAORD by SEO is greater than the sum of its chapters.
    • Январь 2016
      Источник: National Science Foundation
      Загружен: Knoema
      Дата обращения к источнику: 31 марта, 2016
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      1. RD & D stands for Research, Development and Demonstration2. Clean energy and other non-fossil fuel technologies include renewables (solar, wind, biofuels, ocean energy, and hydropower), nuclear, hydrogen and fuel cells, CO2 capture and storage, other power and storage, and energy efficiency 3.Data collected from table 6-54 to 6-64
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      This table presents the relative shares of the different sources of funds in R&D. More specifically the indicators provided are percentage of GERD (Gross domestic expenditure on R&D) financed respectively by industry, government, the higher education and the private non profit sector. The fifth source of funds shown, which also make the breakdown complete, is GERD financed from abroad. R&D is an activity where there are significant transfers of resources between units, organisations, sectors and countries. The importance of the source of funding has been recognized in one of the Barcelona targets of the Lisbon agenda where it is said that the appropriate split for R&D is 1/3 financed by public funds and 2/3 by private.
    • Апрель 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 06 октября, 2015
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      This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2016
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      Unit of measure used Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents data on Gross domestic expenditure on R&D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GERD by SEO is greater than the sum of its chapters.
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 01 сентября, 2015
      Выбрать
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table contains research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from abroad - including funds from enterprises and other funds from abroad).
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 апреля, 2016
      Выбрать
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of costs (current expenditures: labour costs, other current costs; and capital expenditures: land and buildings, and instruments and equipment).
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 апреля, 2016
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      The research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications (Frascati Manual, 2002 edition, § 63 ). The GDP used in denominator of the MIP indicator comes from the ESA 2010 transmission programme.
  • H
    • Январь 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 03 февраля, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
      Выбрать
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
  • I
    • Май 2014
      Источник: European Commission
      Загружен: Knoema
      Дата обращения к источнику: 21 мая, 2014
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      The Innovation Union Scoreboard 2014 gives a comparative assessment of the innovation performance of the EU27 Member States and the relative strengths and weaknesses of their research and innovation systems. It monitors innovation trends across the EU27 Member States, as well as Croatia, Iceland, the Former Yugoslav Republic of Macedonia, Norway, Serbia, Switzerland and Turkey. The overall ambition of the Innovation Union Scoreboard is to inform policy discussions at national and EU level, by tracking progress in innovation performance within and outside the EU over time. The measurement framework used in the Innovation Union Scoreboard distinguishes between 3 main types of indicators and 8 innovation dimensions, capturing in total 25 different indicators. The Enablers capture the main drivers of innovation performance external to the firm and cover 3 innovation dimensions: Human resources, Open, excellent and attractive research systems as well as Finance and support. Firm activities capture the innovation efforts at the level of the firm, grouped in 3 innovation dimensions: Firm investments, Linkages & entrepreneurship and Intellectual assets. Outputs cover the effects of firms’ innovation activities in 2 innovation dimensions: Innovators and Economic effects. The following datapoints are taken from the IUS 2013 (Indicator - Measure - Year):1.1.1 New doctorate graduates - Normalised scores - 2012;1.1.1 New doctorate graduates - Raw values - 2003;1.1.2 Population completed tertiary education - Raw values - 2001-2004;1.1.3 Youth with upper secondary level education - Raw values - 2001-2004;1.2.1 International scientific co-publications - Raw values - 2002-2004;1.2.2 Scientific publications among top 10% most cited - Normalised scores - 2010-2012;1.2.3 Non-EU doctorate students - Normalised scores - 2012;1.3.1 Public R&D expenditure - Raw values - 2001-2004;2.1.1 Business R&D expenditure - Raw values - 2001-2004;2.1.2 Non-R&D innovation expenditure - Normalised scores - 2012;2.2.1 SMEs innovating in-house - Normalised scores - 2012;2.2.2 Innovative SMEs collaborating with others - Normalised scores - 2012;2.2.3 Public-private co-publications - Normalised scores - 2012;2.3.1 PCT patent applications - Normalised scores - 2012;2.3.1 PCT patent applications - Raw values - 2001-2003;2.3.2 PCT patent applications in societal challenges - Normalised scores - 2011-2012;2.3.2 PCT patent applications in societal challenges - Raw values - 2001-2002;2.3.3 Community trademarks - Raw values - 2001-2004;2.3.4 Community designs - Raw values - 2004;3.1.1 SMEs introducing product or process innovations - Normalised scores - 2012;3.1.2 SMEs introducing marketing/organisational innovations - Normalised scores - 2012;3.2.2 Medium and high-tech product exports - Raw values - 2002-2004;3.2.3 Knowledge-intensive services exports - Normalised scores - 2012;3.2.4 Sales of new to market and new to firm innovations - Normalised scores - 2012;3.2.5 Licence and patent revenues from abroad - Raw values - 2004.
    • Март 2016
      Источник: United Nations Educational, Scientific and Cultural Organization, Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 23 марта, 2016
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    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
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      The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
  • K
    • Июнь 2012
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
      Выбрать
      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
  • M
    • Январь 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 марта, 2016
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      This database, published twice a year, provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD Member countries and selected non-member economies in the field of Science and Technology as available from 1981 onwards. It includes final or provisional results as well as forecasts established by government authorities. Indicators cover resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of the joint OECD/Eurostat international data collection on resources devoted to R&D. The sources for the other indicators include the OECD databases on Activities of Foreign Affiliates (AFA), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). YEARS COVERED: 1981 onward. COUNTRIES COVERED: Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. NON-MEMBER ECONOMIES: Argentina, China, Romania, Russian Federation, Singapore, South Africa and Chinese Taipei.
    • Июль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2015
      Выбрать
      This database, published twice a year, provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD Member countries and selected non-member economies in the field of Science and Technology as available from 1981 onwards. It includes final or provisional results as well as forecasts established by government authorities. Indicators cover resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of the joint OECD/Eurostat international data collection on resources devoted to R&D. The sources for the other indicators include the OECD databases on Activities of Foreign Affiliates (AFA), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). YEARS COVERED: 1981 onward. COUNTRIES COVERED: Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. NON-MEMBER ECONOMIES: Argentina, China, Romania, Russian Federation, Singapore, South Africa and Chinese Taipei.
  • O
    • Август 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2015
      Выбрать
      This table contains statistics on research and development (R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and type of costs (current expenditures, capital expenditures).
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 19 апреля, 2016
      Выбрать
      This table contains statistics on research and development ( R&D) expenditure performed in the higher education and private non-profit sectors by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities) and source of funds (direct government, public general university funds, higher education, private non-profit, business enterprise, and funds from abroad). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • Июнь 2012
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 04 августа, 2014
      Выбрать
      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
  • R
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 16 апреля, 2016
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      The objective of these data is to provide information for benchmarking and monitoring developments in ICT sector. ICT sector statistics is used largely in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) via the Digital Agenda Scoreboard to monitor progress of the European digital economy according to the objectives set out in the Digital Agenda for Europe, a Europe 2020 Initiative. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. ICT sector indicators are compiled using the secondary statistical analysis. This approach has a virtue of ensuring cost-efficient and high-quality data collection. At the same time, this approach has limited options for designing new indicators, as well as for control over data quality and over data release timing. Data from the Structural Business Statistics (SBS), National Accounts (NA) and Research and Development (R&D) Statistics sections of the Eurostat database are used. For this reason, Metadata guidelines on SBS, on NA and on R&D Statistics are applicable to the data that has been extracted from the respective primary statistics sources. Representation ICT sector statistics contains five indicators in the country/year dimensions, which are updated on an annual basis: (1) Share of the ICT sector in GDP (2) Share of the ICT sector personnel in total employment (3) Growth of the ICT sector value added (4) Share of the ICT sector in the R&D expenditure of businesses (5) Share of the ICT sector in R&D personnel In tables (1)-(3), data for NACE economic activity codes is grouped into three aggregates:ICT sector - total,ICT manufacturingICT Services. Tables (4) and (5) report disaggregated NACE economic activities. Definition ICT sector, ICT manufacturing and ICT services are defined according to the OECD official definition (see OECD, 2011 for details). The 2002 OECD definition in terms of NACE Rev. 1.1 is used on data prior to 2009, while the 2006 OECD definition in terms of NACE Rev. 2 is applied to the data from 2009 onwards. Since the impact of the break in series related to the revision of NACE is minimised due to the compatibility between the two OECD ICT sector definitions, data for each of the indicators (1)-(3) is presented in respective single tables, and not in separate tables for each revision of NACE (as it is done in the source SBS and NA data). Data for the indicators (4) and (5) is based on the NACE Rev. 2 codes of economic activity, with the data for the years prior to 2009 being recalculated using the official correspondence tables between NACE Rev. 2 and NAVE Rev. 1.1. Time coverage Data covers all years starting from 2000 until the latest year available. Following the approach set by the source primary statistics data files, the publication year is calculated as (t+1), with t being the reference year. Data for the indicators (1)-(5) are updated yearly from 2008 until the latest year available (as opposed to simply adding one additional year) to incorporate the latest revisions made on the source data (SBS, NA and R&D statistics). Data prior to 2008 is left unchanged following the approach used in the source data domains.
    • Январь 2016
      Источник: National Science Foundation
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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      Data collected from table 4-16,4-18
    • Февраль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 августа, 2015
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      This table contains research and development (R&D) expenditure statistics on current domestic R&D and gross domestic R&D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&D within each sector (basic research, applied research, experimental development, non-specified, and total activity).Unit of measure used - Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2016
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      These tables contain research and development (RD) personnel statistics. Number of RD personnel is provided in both headcounts and full-time equivalent on RD by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by occupation (researchers, technicians and other support staff).
    • Апрель 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 21 апреля, 2016
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      This table presents research and development (R&D) personnel statistics. Number of R&D personnel is provided in headcounts and/or full-time equivalent on R&D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by formal qualification (university and other diplomas by ISCED classification). Unit of measure used - Headcounts and/or Full-time equivalent on R&D (FTE)
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications. R&D expenditures include all expenditures for R&D performed within the business enterprise sector (BERD) on the national territory during a given period, regardless of the source of funds. R&D expenditure in BERD are shown as a percentage of GDP (R&D intensity).
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      R&D personnel include all persons employed directly on R&D, plus persons supplying direct services to R&D, such as managers, administrative staff and office staff. The measure shown in this table is total R&D personnel in full time equivalents as a percentage of the economic active population. Please note that the calculation of the measure in this table has changed from being based on head count to full time equivalents from January 2010. The measure based on head count is still available in Eurostat public data bases, table: Total R&D personnel and researchers by sectors of performance, as % of total labour force and total employment, and by sex (rd_p_perslf)
    • Апрель 2016
      Источник: United Nations Educational, Scientific and Cultural Organization, Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 01 апреля, 2016
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    • Январь 2015
      Источник: United Nations Economic Commission for Europe
      Загружен: Knoema
      Дата обращения к источнику: 20 октября, 2015
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  • S
    • Январь 2016
      Источник: National Science Foundation
      Загружен: Knoema
      Дата обращения к источнику: 05 апреля, 2016
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      Data collected from table 5-55 to 5-57
    • Март 2016
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 марта, 2016
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      The OECD Science, Technology and Industry Outlook reviews key trends in STI policies and performance in OECD countries and major emerging economies. It is published every two years and draws on a unique international policy survey conducted by the OECD - with more than 45 countries involved in 2014 - and the latest OECD work on STI policy analysis and measurement. Following an overview of the recent STI global landscape, key current policy issues are discussed across a series of thematic policy profiles. Country profiles report the STI performance of individual countries and the most recent national policy developments.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      This domain provides users with data concerning Government Budget Appropriations or Outlays on R&D (GBAORD). GBAORD data are measuring government support to research and development (R&D) activities, or, in other words, how much priority Governments place on the public funding of R&D. GBAORD data are built up using the guidelines laid out in the Proposed standard practice for surveys of research and experimental development - Frascati Manual, OECD, 2002 . GBAORD data are broken down by:   - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budgets (NABS 2007) - .   - Funding mode into: project funding and institutional funding (non-mandatory data). Part of GBAORD, which is allocated to transnational cooperation in R&D, is further broken down into three specific categories: transnational public R&D performers; Europe-wide transnational public R&D programmes and bilateral or multilateral public R&D programmes established between Member State governments or with EFTA and candidate countries. Besides in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_ HAB_KP05), Percentage of GDP (PC_GDP), Percentage of total GBAORD (PC_GBA - for the breakdowns by socio-economic objectives and by funding mode), Percentage of total transnationally coordinated R&D (PC_TOT - for the breakdown by category), Percentage of government expenditure (PC_GEXP). The periodicity of the GBAORD data is annual. Data are collected corresponding to the two legally established deadlines:   - June data collection: Preliminary GBAORD data are provided to Eurostat 6 months after the end of the calendar year (June). This data are targeted to be disseminated in Eurobase in September.   - December data collection: Final GBAORD data are provided to Eurostat 12 months after the end of the calendar year (December). This data are targeted to be disseminated in Eurobase in the following February. GBAORD data are available for following countries and country groups:   - All EU Member States, Iceland, Norway, Switzerland,  Turkey, the Russian Federation, Japan, the United States and South Korea.   - Country groups: EU28, EU15 and EA18.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems, and in the management of the projects concerned. FTE (Full-time equivalent) corresponds to one year's work by one person (for example, a person who devotes 40 % of his time to R&D) is counted as 0.4 FTE. The share of women researchers among total researchers in FTE in all sectors of performance is shown.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems, and in the management of the projects concerned. The share of women researchers among total researchers in head count in all institutional sectors is shown.
    • Июль 2014
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2014
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    • Январь 2010
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 05 августа, 2014
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      TAN Indicators are compiled to respond to the needs of analysts and researchers interested in measuring economic performance and structural changes. They also complement the OECD publications, Science Technology and Industry Scoreboard and Economic Globalisation Indicators.In this edition, STAN Indicators consist of 35 measures related to the production and employment structure, the labour productivity and labour costs, the investment, the business research and development expenditures and the international trade performance.The underlying measures used for calculations are:- Values of exports and imports of goods, at current prices from STAN Bilateral Trade Database- Production, intermediate consumption, value added, labour compensation, gross fixed capital formation, at current prices from STAN Database for Structural Analysis- Value added volumes and employment from STAN Database for Structural Analysis- Research & Development expenditures, at current prices from STAN R&D Expenditure in IndustryMost of STAN Indicators are presented for all OECD countries and a certain number of zones (i.e. country groups) such as the G7, the EUs, etc.The composition of these groups varies according to the indicators in order to optimise the industry and period coverage.Country groups are not based on weighted averages.STAN Indicators cover the period 1970-2008, although the time-coverage may vary considerably across countries /zones and indicators. Indicators are provided for a wide range of economic activities (according to an ISIC Rev.3 based hierarchy) compatible with the list in the underlying STAN Database.
    • Июль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 ноября, 2015
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    • Июль 2015
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2015
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      The Analytical Business Enterprise Research and Development (ANBERD) database presents annual data on R&D expenditures by industry and was developed to provide analysts with comprehensive data on industrial R&D expenditures that address the problems of international comparability and breaks in the time series of official business enterprise R&D data. The ANBERD database includes a number of estimations and is published under the responsibility of the Secretary General of the OECD as it does not represent Member countries’ official submissions of business enterprise R&D data. The current version of the ANBERD database presents industrial R&D expenditure data broken down in up to 100 manufacturing and services sectors for OECD countries and selected non-member economies from 1987 onwards. For the first time, the reported data are in ISIC Revision 4 and are expressed in national currencies as well as in PPP US dollars, both at current and constant prices. The ANBERD data are updated continuously on a rolling basis and additional countries will be included in the coming months as they become available.
    • Июнь 2012
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 25 сентября, 2014
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      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.
  • T
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 апреля, 2016
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      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 апреля, 2016
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      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 02 апреля, 2016
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      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 22 апреля, 2016
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      20.1. Source data
    • Март 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 17 апреля, 2016
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    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems, and in the management of the projects concerned. FTE (Full-time equivalent) corresponds to one year's work by one person (for example, a person who devotes 40 % of his time to R&D is counted as 0.4 FTE.
    • Апрель 2016
      Источник: Eurostat
      Загружен: Knoema
      Дата обращения к источнику: 23 апреля, 2016
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      Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems, and in the management of the projects concerned. Head count (HC) data measure the total number of researchers who are mainly or partly employed on R&D.
  • U
    • Январь 2016
      Источник: National Science Foundation
      Загружен: Knoema
      Дата обращения к источнику: 31 марта, 2016
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      Data collected from table 5-25 to 5-54, 5-58
    • Август 2014
      Источник: United Nations Educational, Scientific and Cultural Organization, Institute for Statistics
      Загружен: Knoema
      Дата обращения к источнику: 01 сентября, 2014
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      The UNESCO Institute for Statistics (UIS) is the statistical office of UNESCO and is the UN depository for global statistics in the fields of education, science and technology, culture and communication. The UIS was established in 1999. It was created to improve UNESCO’s statistical programme and to develop and deliver the timely, accurate and policy-relevant statistics needed in today’s increasingly complex and rapidly changing social, political and economic environments. The UIS is based in Montreal, Canada. The dataset contains over 1,000 types of indicators and raw data on education, literacy, science and technology, culture and communication. The UIS collects the data for more than 200 countries and territories from Member States and international organizations.
    • Январь 2016
      Источник: National Science Foundation
      Загружен: Knoema
      Дата обращения к источнику: 31 марта, 2016
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      1. USPTO:- U.S. Patent and Trademark Office 2. IPC:- International Patent Classification 3. Patents are fractionally allocated among regions/countries/economies based on the proportion of residences of all named inventors 4. The EU includes 28 member countries and China includes Hong Kong. 5. Patents are classified under the World Intellectual Property Organization (WIPO) classification of patents 6.Data collected from table 6-36 to 6-50, 6-65 to 6-79
  • W
    • Апрель 2016
      Источник: World Bank
      Загружен: Knoema
      Дата обращения к источнику: 14 апреля, 2016
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.