حدث خطأ. التفاصيل إخفاء
لديك صفحات غير محفوظة. استعادة إلغاء

كندا

  • Governor General:Julie Payette
  • رئيس الوزراء:Justin Pierre James Trudeau
  • العاصمة:Ottawa
  • اللغات:English (official) 58.7%, French (official) 22%, Punjabi 1.4%, Italian 1.3%, Spanish 1.3%, German 1.3%, Cantonese 1.2%, Tagalog 1.2%, Arabic 1.1%, other 10.5% (2011 est.)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:36,708,083 (2017)
  • المساحة ، كم مربع:9,093,510 (2017)
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:45,032 (2017)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:1,653.0 (2017)
  • مؤشر GINI:34 (2013)
  • تصنيف سهولة ممارسة الأعمال:18 (2017)
All datasets:  A B C F G H I M O P R S U W
  • A
    • حزيران 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 حزيران, 2019
      تحديد مجموعة بيانات
      The OECD's ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on Research and Development (R&D) expenditures by industry and was developed to provide analysts with comprehensive data on business R&D expenditures. The ANBERD database incorporates a number of estimations that build upon and extend national submissions of business enterprise R&D data by industry (main activity/industry orientation). The current version of the ANBERD database presents OECD countries' and selected non-member economies' business expenditure on R&D since 1987, broken down across 100 manufacturing and service industry groups. The reported data follow the International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and are expressed in national currencies as well as in US dollars at Purchasing Power Parity (PPP), both at current and constant prices.   Main activity and industry orientation: The 2015 Frascati Manual practice is to report BERD on an enterprise basis. The main economic activity of an enterprise is usually defined as that which accounts for most of its economic outputs; this may be identified directly from sales or indirectly proxied (such as by numbers of personnel devoted to different activities). This determines the industry in which the enterprise, and any BERD it carries out, is classified. As such, all BERD of a diversified enterprise (i.e. one with multiple lines of business) is allocated to the same industry, that of its main activity. This enables, as far as possible, the alignment and compatability of BERD data with other economic statistics (e.g. value added broken down by industry). In addition, the Frascati Manual also recommends reporting BERD by industry orientation, whereby the statistical unit’s R&D is distributed across the various lines of business to which it relates. In a few countries, hybrid approaches are followed and reported as main activity data. As an example, some countries primarily follow the main activity approach but redistribute the R&D of large diversified firms across the economic activities to which it relates. This can affect interpretation of the data and resulting statistics. There are also important differences between countries in the treatment of R&D undertaken by firms in the service sector but closely associated (though not necessarily contractually) with manufacturing firms. Industrial research institutes, largely funded by the manufacturing industries they serve, are the most frequent examples. With the implementation of the 2015 Frascati Manual, such hybrid data will be phased out in favour of a strict main activity approach. Countries still reporting hybrid data are flagged in the ANBERD country notes.
  • B
    • آب 2018
      المصدر: Statistics Canada
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      This table contains 20475 series, with data for years 2014 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...) North American Industry Classification System (NAICS) (75 items: Total all industries; Agriculture, forestry, fishing and hunting; Agriculture (except aquaculture) and support activities for crop production and animal production; Forestry, logging and support activities for forestry; ...) Country of control (3 items: Total country of control; Canada; Foreign) Research and development characteristics (7 items: Total in-house research and development expenditures; Total current in-house research and development expenditures in Canada; Total capital in-house research and development expenditures in Canada; Total in-house research and development personnel; ...).
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 12 حزيران, 2017
      تحديد مجموعة بيانات
      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.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تموز, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 حزيران, 2017
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 05 آذار, 2019
      تحديد مجموعة بيانات
      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.
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 09 حزيران, 2017
      تحديد مجموعة بيانات
      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.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 نيسان, 2019
      تحديد مجموعة بيانات
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 حزيران, 2017
      تحديد مجموعة بيانات
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 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.
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 21 حزيران, 2017
      تحديد مجموعة بيانات
      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.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 نيسان, 2019
      تحديد مجموعة بيانات
  • C
    • كانون الأول 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 03 كانون الأول, 2018
      تحديد مجموعة بيانات
      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.   
  • F
  • G
    • تموز 2018
      المصدر: Global Innovation Index
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آب, 2018
      تحديد مجموعة بيانات
      The Global Innovation Index (GII) provides detailed metrics about the innovation performance of 126 countries which represent 90.8% of the world’s population and 96.3% of global GDP. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.   The GII 2018 marks the 11th edition of the GII, and the beginning of its second decade providing data and insights gathered from tracking innovation across the globe. This year’s edition, is dedicated to the theme of Energizing the World with Innovation. It analyses the energy innovation landscape of the next decade and identifies possible breakthroughs in fields such as energy production, storage, distribution, and consumption. It also looks at how breakthrough innovation occurs at the grassroots level and describes how small-scale renewable systems are on the rise.
    • كانون الأول 2018
      المصدر: Knowledge4All
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation.   Note-Full Version can be checked here: https://knoema.com/WLDKALLGKI2018Dec/global-knowledge-index The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).
    • كانون الأول 2018
      المصدر: Knowledge4All
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: Knowledge4All,United Nations Development Programme & Mohammed Bin Rashid Al Maktoum Knowledge Foundation. The GKI is a partnership initiative between the United Nations Development Programme (UNDP) and Mohammed Bin Rashid Al Maktoum Knowledge Foundation (MBRF), it was first announced during the Knowledge Summit in 2016. The Global Knowledge Index (GKI) is the index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The Global Knowledge Index (GKI) is the only index that measures knowledge on the global level, it highlights the strategic role of knowledge and the importance of developing objective and scientific tools to measure and evaluate it. The GKI aims at measuring knowledge as a broad concept that is intricately related to all aspects of modern human life, in a systematic approach that builds on solid conceptual and methodological principles. The GKI is composed of six sectoral indices: 1) Pre - university education 2) Technical vocational education and training(TVET) 3) Higher education 4) Research, development and innovation(RDI) 5) Information and communications technology (ICT) 6) Economy in addition to a seventh supporting index on the General Enabling Environment. All values are normalized to a scale from 0 (worst) to 100 (best).   The Pre-University Education sector plays a central role in building the knowledge capital that represents the first input in preparing young people to acquire and produce knowledge. Pre-university education equips youth with scientific knowledge, as well as creative skills and capacities, to access lifelong learning opportunities. This sector is therefore key, as it constitutes the first basis for other sectors to build upon. It is composed of two pillars: knowledge capital and educational enabling environment. The Technical Vocational Education and Training (TVET) sector represents the main connection between education and the labour market and provides educated young people with opportunities for professional integration. It contributes to the provision of high-skilled labour and the development of conducive working environments. It is composed of two pillars: formation and professional training and features of the labour market. The Higher Education sector is of high importance, as it is an active component in educating youth, developing their qualifications, and expanding their knowledge and skills, which results in the improvement of a country’s productivity and competitiveness in global markets. It is also considered among the most important factors that directly contribute to the advancement of scientific research and technological development. It is composed of two pillars: higher education inputs and higher education outputs and quality. Research, Development, and Innovation (RDI) contribute to increasing knowledge at the national and regional levels. RDI, which serves as a driver for economic growth and sustainable development in both developed and developing countries, is mainly based on the production of new or improved goods, services, production processes, and organizational models. RDI is closely linked to other sectors as it provides essential inputs to the entire system. It is composed of three pillars: research and development, innovation in production, and social innovation. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. Information and Communications Technology (ICT) plays an essential role in supporting the advancement of knowledge across all sectors. Advancements in knowledge-intensive production have become closely linked to the provision of advanced technology, especially as the Internet has increased the opportunities available to acquire knowledge. Therefore, it is essential for countries to employ indicators that quantify their levels of ICT development for the benefit of stakeholders in their societies. It is composed of two pillars: ICT inputs and ICT outputs. The Knowledge Economy is the main driver of sustainable development, wealth creation, and job creation in various economic fields, across the industrial, agricultural, and service sectors. Unlike the traditional concept of economic resource analysis and availability, a knowledge economy is primarily based on providing economic resources, particularly human resources, with knowledge tools, including digital and technological knowledge assets, as well as innovative and creative skills. It is composed of three pillars: knowledge competitiveness, economic openness, and financing and value added. The General Enabling Environment was added to support the 6 sectoral indices, as these sectors do not operate in isolation from their surroundings, but rather in a space governed by a range of contextual factors – political, socioeconomic, health-related, and environmental. It is composed of three pillars: political and institutional, socio-economic, and health and environment.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      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.
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2018
      تحديد مجموعة بيانات
      Courtesy: National Science Foundation   1. R & D stands for Research, Development and Demonstration 2. Clean energy and other non-fossil fuel technologies include renewable (solar, wind, bio fuels, ocean energy, and hydro power), nuclear, hydrogen and fuel cells, CO2 capture and storage, other power and storage, and energy efficiency    
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تموز, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تموز, 2019
      تحديد مجموعة بيانات
      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 (2010 prices and PPPs).
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 05 تموز, 2019
      تحديد مجموعة بيانات
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 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).
  • H
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      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
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
      This database presents the 2018 edition of OECD time-series indicators of implied R&D tax subsidy rates for OECD member countries and five non-member economies (Brazil, People's Republic of China, Romania, Russian Federation, and South Africa) over the period 2000-2018, drawing on data collected in the OECD-NESTI R&D tax incentive surveys from 2007 to 2018. The 2018 edition of RDTAXSUB contains time-series estimates that are based on headline tax credit and allowance rates, by firm size and profitability scenario. Due to limited historical data availability, the estimates are not adjusted for provisions that bound the tax benefits received by firms (e.g. ceilings, thresholds). They therefore provide an upper bound for the marginal tax subsidy implied by R&D tax relief measures across countries over time. These estimates should not be confused with separate contemporary cross-sectional OECD estimates of marginal tax subsidy rates (OECD, 2018) that compute adjusted (weighted) tax credit/allowance rates for a number of countries based on available information on the proportion of eligible R&D subject to different marginal levels of relief (see 2017).The tax subsidy rate is defined as 1 minus the B-index, a measure of the before-tax income needed by a “representative” firm to break even on USD 1 of R&D outlays (Warda, 2001). As tax component of the user cost of R&D, the B-Index is is directly linked to measures of effective marginal tax rates. Measures of tax subsidy rates such as those based on the B-index provide a convenient proxy for examining the implications of tax relief provisions. These provide a synthetic representation of the generosity of a tax system from the perspective of a generic or model type of firm for the marginal unit of R&D expenditure. To provide a more accurate representation of different scenarios, B-indices are calculated for “representative” firms according to whether they can claim tax benefits against their tax liability in the reporting period (OECD, 2013). When credits or allowances are fully refundable, the B-index of a firm in such a position is identical to the profit scenario. Carry-forwards are modelled as discounted options to claim incentives in the future, assuming a constant annual probability of returning to profit of 50% and a nominal discount rate of 10%. For general and country-specific notes on the time-series estimates of implied marginal tax subsidy rates on R&D expenditures (based on the B-index), see http://www.oecd.org/sti/rd-tax-stats-bindex-notes.pdf.
    • تموز 2014
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 04 آب, 2014
      تحديد مجموعة بيانات
      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.
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    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 آذار, 2019
      تحديد مجموعة بيانات
      This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and seven non-member economies (Argentina, People's Republic of China, Romania, Russian Federation, Singapore, South Africa, Chinese Taipei) in the field of science and technology. These data include final or provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in 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 a co-ordinated collection. The sources for the other indicators include the OECD databases on Activities of Multinational Enterprises (AMNE), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). The R&D data used in this publication have been collected and presented in line with the standard OECD methodology for R&D statistics as laid out in the OECD "Frascati Manual". The 2002 edition of the manual has now been superseded by the 2015 edition. The revised guidelines and definitions are in the course of being implemented and are not expected to change the main indicators significantly although some terminology changes will occur. This edition of MSTI has been compiled in accordance with the 2002 Frascati Manual; these changes will be made in a coming edition as R&D surveys move to the new standard.   2018 values are estimated value.
  • O
    • حزيران 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 حزيران, 2019
      تحديد مجموعة بيانات
      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.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      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).
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 حزيران, 2017
      تحديد مجموعة بيانات
      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).
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  • R
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 نيسان, 2019
      تحديد مجموعة بيانات
      This database provides a set of indicators that reflect the level and structure of central government support for business R&D; in form of R&D; tax incentives and direct funding across OECD member countries and ten non-member economies (Argentina, Brazil, Bulgaria, Croatia, Cyprus, People's Republic of China, Romania, Russian Federation, and South Africa). This includes time-series indicators of tax expenditures for R&D;, based on the latest 2017 OECD data collection on tax incentive support for R&D; expenditures that was completed in July 2017. These estimates of the cost of R&D; tax relief have been combined with data on direct R&D; funding, as compiled by National Statistical Offices based on reports from firms, in order to provide a more complete picture of government efforts to promote business R&D.; The latest indicators and information on R&D; tax incentives also feature on the dedicated OECD website Measuring R&D; tax incentives.Tax expenditures are deviations from a benchmark tax system (OECD, 2010) and countries use different national benchmarks. Available estimates typically reflect the sum of foregone tax revenues – on an accruals basis – and refunds where applicable, with no or minimal adjustments for behavior effects. Some countries only report claims realised in a given year (cash basis), while others report losses to government on an accrual basis, excluding claims referring to earlier periods and including claims for current R&D; to be used in the future. For general and country-specific notes on the estimates of government tax relief for R&D; expenditures (GTARD), see http://www.oecd.org/sti/rd-tax-stats-gtard-notes.pdfThe sources for the other indicators (direct funding of BERD, BERD and GDP) include the OECD databases on Main Science and Technology Indicators and Eurostat R&D; statistics.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      These tables present research and development (R&D) personnel statistics for : - Total R&D personnel by sector of employment and field of science, in full-time equivalent on R&D; - Researchers by sex, sector of employment and field of science, in full-time equivant on R&D; - Researchers by sex, sector of employment and field of science, in headcounts. Sectors of employment are business enterprise, government, higher education, private non-profit and total. Breakdown by field of science includes natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Pallavi S
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      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).
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      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)
    • كانون الأول 2018
      المصدر: European Commission
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيار, 2019
      تحديد مجموعة بيانات
      Note: We have considered the financial years 2015/16, 2016/17 and 2017/18 have been considered as 2015, 2016 and 2017. R&D ranking of the world top 2500 companies
    • شباط 2019
      المصدر: UNESCO Institute for Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيار, 2019
      تحديد مجموعة بيانات
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 حزيران, 2019
      تحديد مجموعة بيانات
      Source: UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems and also in the management of the projects concerned (see also: 'Frascati Manual - Proposed standard practice for surveys on research and experimental development', paras. 302-305). The business enterprise sector includes: All firms, organisations and institutions whose primary activity is the market production of goods or services (other than higher education) for sale to the general public at an economically significant price; The private non-profit institutes mainly serving them. The government sector includes: All departments, offices and other bodies, which furnish but normally do not sell to the community those common services, other than higher education, which cannot otherwise be conveniently and economically provided and administer the state and the economic and social policy of the community. (Public enterprises are included in the business enterprise sector); Non-profit institutes (NPIs) controlled and mainly financed by government. The higher education sector includes all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of or administered by or associated with higher education establishments. The private non-profit sector includes: Non-market, private non-profit institutions serving households (i.e. the general public); Private individuals or households. .. - data not available Country: Canada Break in methodlogy (2000): Business enterprise sector`s collection methodology was changed. Country: Canada Change in definition (2000 - 2013): Government sector does not include all provinces and territories. Country: Canada Reference period (2000 - 2013): Fiscal years are used for government and higher education sector (April to March). Country: Canada Sector subtotals do not sum to “All sectors” category as there are researchers that work in industries other than the four select sectors listed in the table (Groupings refer to NOC 2011 and NAICS 2012 classifications.) Country: Kazakhstan Additional information (2000 - 2012): Data were formed on the basis of the "Report on the implementation of scientific and technical work" Country: Moldova, Republic of Change in definition (2001 - 2012): Data for researchers include only those who are directly involved in a research. Country: Moldova, Republic of Data exclude the territory of the Transnistria and municipality of Bender Country: Serbia Territorial change (1995 - 2013): The Statistical Office of the Republic of Serbia has no available data on the AP Kosovo and Metohija.
  • S
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2018
      تحديد مجموعة بيانات
      Courtesy: National Science Foundation
    • كانون الثاني 2016
      المصدر: Statistics Canada
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 أيلول, 2018
      تحديد مجموعة بيانات
      Sources of funds for expenditures on research and development (R&D) in the higher education sector, in dollars and as a percentage of total funding, Canada and provinces. This table is included in Section D: Postsecondary education: Research and Development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
  • U
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2018
      تحديد مجموعة بيانات
      Courtesy of the National Science Foundation
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 كانون الثاني, 2018
      تحديد مجموعة بيانات
      Courtesy of the National Science Foundation
    • شباط 2018
      المصدر: UNESCO Institute for Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تموز, 2018
      تحديد مجموعة بيانات
      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.
    • نيسان 2017
      المصدر: UNESCO Institute for Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 نيسان, 2017
      تحديد مجموعة بيانات
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2018
      تحديد مجموعة بيانات
      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   Courtesy: National Science Foundation
  • W