Science and technology

Key indicators

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  • Table: 33-10-0827-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0828-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0829-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Articles and reports: 22-20-00012024002
    Description: This article explores trends in patent applications made by Canadian-resident businesses for advanced technologies from 2001 to 2019, drawing on Eurostat's aggregation of high-tech patents. Approximately one-third of applications fall under high-tech categories, the bulk of which were associated with Communication, Computer, and Automated business equipment technologies. While these fields saw growth until 2012, a subsequent decline occurred, notably in Computer and Electronic Product Manufacturing. Biotechnology, Semiconductors, and Lasers showed limited dynamism, while aviation technology applications surged by nearly twentyfold over the period.
    Release date: 2024-05-21

  • Articles and reports: 18-001-X2024003
    Description: This study compares the Government of Canada’s direct and indirect measures to support R&D, as captured by business innovation and growth support (BIGS) programs and the Scientific Research and Experimental Development (SR&ED) tax incentive program. BIGS and SR&ED are two central instruments that the Canadian government uses to stimulate R&D expenditures in the business sector.
    Release date: 2024-05-17

  • Classification: 89-26-0004
    Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).
    Release date: 2024-04-30

  • Table: 27-10-0367-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises that used specific types of advanced or emerging technologies, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Advanced technologies include material handling, supply chain or logistics technologies; design or information control technologies; processing or fabrication technologies; clean technologies; security or advanced authentication systems; business intelligence technologies; and other types of advanced technologies. Emerging technologies include nanotechnology, biotechnology, geomatics or geospatial technologies, artificial intelligence (AI), integrated Internet of Things (IoT) systems, blockchain technologies, and other types of emerging technologies.

    Release date: 2024-04-30

  • Table: 27-10-0368-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises that did not adopt or use advanced technologies for specific reasons, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for not adopting or using advanced technologies include not convinced of economic benefit; difficulty in obtaining financing; high cost of advanced technologies; investment not necessary for continuing operations; lack of technical skills required to support this type of investment; organizational culture too inflexible; decisions made by parent, affiliates or subsidiary businesses; lack of technical support or services (from consultants or vendors); lack of information regarding advanced technology; difficulty in integrating new advanced technologies with existing systems, standards and processes; other reasons for not adopting or using advanced technologies; and adoption or use of advanced technologies not applicable to this business’s activities.

    Release date: 2024-04-30

  • Table: 27-10-0369-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description: Percentage of enterprises where the use of clean technologies was related to environmental protection, sustainable resource management or adapted goods, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Environmental protection includes air and environment protection or remediation; waste management, reduction or recycling; and water or wastewater treatment. Sustainable resource management includes alternative fuels; non-emitting energy supply; bio-products; smart grid; energy storage; energy management and efficiency improvements; water management or recycling; agriculture, aquaculture, forestry or biodiversity improvements; and sustainable mining. Adapted goods include energy-efficient transportation, energy-efficient equipment or appliances, and advanced or lightweight materials.
    Release date: 2024-04-30

  • Table: 33-10-0153-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises for which specific long-term strategies were the most important, by North American Industry Classification System (NAICS) code and enterprise size, over the next five years. The most important long-term strategies include main focus on good or service positioning, main focus on low-price and cost leadership, and good or service positioning and low-price and cost leadership are equally important.

    Release date: 2024-04-30
Data (494)

Data (494) (20 to 30 of 494 results)

Analysis (532)

Analysis (532) (60 to 70 of 532 results)

  • Stats in brief: 11-001-X2016356942
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2016-12-21

  • Articles and reports: 11F0019M2016386
    Description:

    This paper asks whether research and development (R&D) drives the level of competitiveness required to successfully enter export markets and whether, in turn, participation in export markets increases R&D expenditures. Canadian non-exporters that subsequently entered export markets in the first decade of the 2000s are found to be not only larger and more productive, as has been reported for previous decades, but also more likely to have invested in R&D. Both extramural R&D expenditures (purchased from domestic and foreign suppliers) and intramural R&D expenditures (performed in-house) increase the ability of firms to penetrate export markets. Exporting also has a significant impact on subsequent R&D expenditures; exporters are more likely to start investing in R&D. Firms that began exporting increased the intensity of extramural R&D expenditures in the year in which exporting occurred.

    Release date: 2016-11-28

  • Articles and reports: 75-006-X201600114643
    Description:

    This article provides information on women aged 25 to 64 in natural and applied science occupations in Canada (i.e. scientific occupations), using data from the 1991 and 2001 censuses and the 2011 National Household Survey (NHS). The employment conditions of men and women in these occupations are also examined, based on data from the Labour Force Survey (LFS).

    Release date: 2016-06-24

  • Articles and reports: 13-604-M2015078
    Description:

    The increased pace of globalization has brought about many changes in both the Canadian and world economies. One important change has been the increased prevalence of global value chains which sees production processes spread out around the globe, across vertically integrated multinationals or via arm’s length trade. This paper focuses on two types of global production arrangements, namely, the case of merchanting and of goods send abroad for processing, with the limiting case of factoryless goods producers. Using the results of the 2009 and 2012 Survey of Innovation and Business Strategy, this report aims to provide an indication of the degree and nature of outsourcing among Canadian firms, with respect to these global production arrangements.

    Release date: 2015-05-22

  • Journals and periodicals: 88-202-X
    Description:

    This on-line report summarizes research and development (R&D) activities performed and funded by Canadian business enterprises and industrial research institutes and associations. The data are used, for instance, to plan and evaluate R&D tax incentive programs, to provide indicators of the state of industrial innovation and to complement national aggregates for scientific R&D expenditures and personnel. Among the topics covered are current and capital expenditures on research and development, energy R&D expenditures by area of technology, R&D expenditures as a percentage of company revenues, sources of funds for intramural R&D, personnel engaged in R&D, and foreign payments made and received for technological services. Most historical tables are presented for the latest five years and disaggregated by 46 industrial groupings, size of R&D program, employment size, revenue size, country of control, and by province.

    Release date: 2015-04-27

  • Journals and periodicals: 88-204-X
    Description:

    This report provides statistical information of the federal government's activities in science and technology. It covers expenditures and person-years by type of science, performing sectors, provinces and federal departments and agencies. Technical notes, definitions, bibliography and subject index are included.

    Release date: 2014-06-06

  • Journals and periodicals: 11-402-X
    Geography: Canada
    Description:

    Presented in almanac style, the 2012 Canada Year Book contains more than 500 pages of tables, charts and succinct analytical articles on every major area of Statistics Canada's expertise. The Canada Year Book is the premier reference on the social and economic life of Canada and its citizens.

    Release date: 2012-12-24

  • Articles and reports: 12-001-X201200211753
    Description:

    Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

    Release date: 2012-12-19

  • Journals and periodicals: 88-001-X
    Description:

    This series, which consists of about six issues per year, presents a variety of science and technology statistics. Each issue concerns a different topic, for example: research and development expenditures and personnel in business enterprises, science and technology expenditures and personnel in the federal government or provincial governments; and estimates of higher education expenditures on research and development.

    Release date: 2012-09-20

  • Stats in brief: 88-001-X2012001
    Description:

    This publication reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge, for the provincial governments of: Newfoundland and Labrador, Prince Edward Island, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

    Release date: 2012-09-20
Reference (43)

Reference (43) (30 to 40 of 43 results)

  • Surveys and statistical programs – Documentation: 5096
    Description: This pilot survey will provide information about federal science expenditures towards developing countries by type of relevant activities in science and technologies and about obstacles and cooperative arrangements with foreign partners.

  • Surveys and statistical programs – Documentation: 5097
    Description: The statistical information collected by this survey is useful for better understanding the measurement of the effort invested by Canada in research and development directed toward developing countries. The data collected by this survey contribute to the federal research and development strategy and are covered in an agreement signed with the Office of the National Science Advisor.

  • Surveys and statistical programs – Documentation: 5109
    Description: Higher Education Research and Development (HERD) Estimates are funding based investments in sponsored research and development (R&D) expenditures in the higher education sector in Canada.

  • Surveys and statistical programs – Documentation: 5113
    Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.

  • Surveys and statistical programs – Documentation: 5140
    Description: Science, Innovation and Electronic Information Division is engaged in a joint project with Industry Canada to investigate the commercialization of innovation process in Canadian firms of small and medium size.

  • Surveys and statistical programs – Documentation: 5154
    Description: The objective of this survey is to better understand the issues and difficulties encountered by enterprises performing research and development (R&D) work, at low levels of expenditures.

  • Surveys and statistical programs – Documentation: 5171
    Description: Statistics Canada has undertaken this survey to provide statistical information on the strategic decisions, innovation activities and operational tactics used by Canadian enterprises. The survey also collects information on the involvement of enterprises in global value chains.

  • Surveys and statistical programs – Documentation: 5183
    Description: The survey of intellectual property management (SIPM) provides statistical information on the use and management of Intellectual Property (IP) by Canadian enterprises in selected industry groups.

  • Surveys and statistical programs – Documentation: 5188
    Description: Results from this survey will assist in the formulation of key intellectual property (IP) indicators for the federal government. The data collected will be used by federal science policy analysts.

  • Surveys and statistical programs – Documentation: 5193
    Description: Research and Development (R&D) personnel data are essential to assure the availability of pertinent statistical information to monitor science and technology (S&T) related activities in Canada and to support the development of science and technology policy.

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