Science and technology

Key indicators

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All (1,069) (0 to 10 of 1,069 results)

Data (494)

Data (494) (20 to 30 of 494 results)

  • 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

  • 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

  • Table: 33-10-0154-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises for which specific statements best described their strategic focus regarding goods or services (products), by North American Industry Classification System (NAICS) code and enterprise size, over the next five years. Statements that best described enterprises’ strategic focus regarding goods or services (products) include maintain sales of existing goods or services, expand the sales of existing goods or services, introduce new or significantly improved goods or services regularly, and don’t know.

    Release date: 2024-04-30

  • Table: 33-10-0158-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises that sold only goods, only services or both goods and services, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

    Release date: 2024-04-30

  • Table: 33-10-0159-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises that produced or manufactured any of the goods that they sold, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

    Release date: 2024-04-30

  • Table: 33-10-0166-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises that offered specific services to complement the sale of goods, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Complementary services include after-sales maintenance or repair, installation or implementation, training or technical support, after-sales condition monitoring or quality control, customization, distribution or transportation, leasing or rental agreements, and other services.

    Release date: 2024-04-30
Analysis (529)

Analysis (529) (40 to 50 of 529 results)

  • Stats in brief: 11-627-M2020072
    Description:

    This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.

    Release date: 2020-10-05

  • Articles and reports: 11F0019M2020015
    Description:

    Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.

    Release date: 2020-09-24

  • Stats in brief: 45-28-0001202000100033
    Description:

    Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.

    Release date: 2020-06-29

  • Stats in brief: 11-001-X202018122563
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-06-29

  • Articles and reports: 11F0019M2020011
    Description:

    The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.

    Release date: 2020-06-29

  • Stats in brief: 11-001-X202016122586
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-06-09

  • Articles and reports: 11F0019M2020009
    Description:

    The main objective of this paper is to determine whether the immigration status of the owner of a small or medium-sized enterprise (SME) affects the likelihood of a company implementing an innovation. This paper uses data from a survey of Canadian small and medium-sized enterprises (SMEs) in 2011, 2014 and 2017, and asks whether immigrant-owned SMEs were more likely to innovate during the three years prior to the survey than those owned by Canadian-born individuals.

    Release date: 2020-06-09

  • Stats in brief: 11-001-X202014722585
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-05-26

  • Articles and reports: 11F0019M2020008
    Description:

    Multinationals play an important role in the world economy because they are larger, innovate more, are more productive and pay higher wages compared with non-multinationals. Multinationals (i.e., firms that have established affiliates or subsidiaries in other countries) have played an increasingly important role in many economies. In Canada, multinationals accounted for only 0.8% of all enterprises in 2016, but they held 67% of all assets in the Canadian economy (Schaffter and Fortier-Labonté 2019). Given the importance of multinationals to the Canadian economy, it is essential for policy makers to understand the economic performance and productivity advantage of multinationals operating in Canada.

    To address policy-relevant research questions, a rich micro dataset covering all industries from 2000 to 2014 has been constructed for this study, using several administrative microdata files at Statistics Canada. This dataset is used to delve deeper into and estimate the productivity advantage of multinationals, including the selection and learning effects associated with multinationality. In addition, this study investigates whether and how research and development (R&D) investment contributes to the superior productivity performance of multinationals.

    Release date: 2020-05-26

  • Stats in brief: 11-001-X202001721943
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-17
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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