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  • Table: 27-10-0027-01
    Geography: Canada
    Frequency: Annual
    Description: Federal extramural expenditures on science and technology, by science and technology components, performing sector and major departments and agencies for Canada from 2000 to today.
    Release date: 2023-06-06

  • Table: 27-10-0028-01
    Geography: Canada
    Frequency: Annual
    Description: Federal personnel engaged in science and technological activities, by occupational category and major departments and agencies for Canada from 2000 to today.
    Release date: 2023-06-06

  • Table: 27-10-0029-01
    Geography: Canada
    Frequency: Annual
    Description: Federal personnel engaged in science and technological activities, by science and technology components and major departments and agencies for Canada from 2000 to today.
    Release date: 2023-06-06

  • Articles and reports: 11-621-M2023001
    Description: This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2020, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.
    Release date: 2023-01-30

  • Articles and reports: 11-637-X202200100009
    Description:

    As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2022 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.

    Release date: 2022-12-13

  • Articles and reports: 11-621-M2022002
    Description:

    This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2019, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.

    Release date: 2022-01-28

  • Table: 33-10-0207-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    Percentage of enterprises for which specific reasons for bringing engineering and research and development (R&D) services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to engineering and research and development (R&D) services.

    Release date: 2021-07-27

  • Articles and reports: 11-621-M2021003
    Description:

    This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2018, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.

    Release date: 2021-05-07

  • 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

  • Table: 37-10-0166-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    Description:

    The proportion who received research funding in the past 5 years among university professors, instructors, teachers, or researchers, postdoctoral fellows and doctorate students by funding type (federal and non-federal), region, employment status, STEM (science, technology, engineering and mathematics) and BHASE (business, humanities, health, arts, social science, education, legal studies, trades, services, natural resources and conservation) groupings and selected population characteristics.

    Release date: 2020-09-22
Data (80)

Data (80) (60 to 70 of 80 results)

Analysis (271)

Analysis (271) (10 to 20 of 271 results)

  • 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

  • Articles and reports: 18-001-X2017001
    Description:

    This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2015, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2017-12-22

  • Stats in brief: 11-001-X201704615423
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-02-15

  • Articles and reports: 11-626-X2016063
    Description:

    This Economic Insights article highlights notable changes in the pace and composition of industrial research and development (R&D) spending in Canada during the 2000-to-2013 period. The analysis is based on historical time series data that conclude with the publication of estimates for reference year 2013. New data on industrial R&D will be released in the coming months. These new survey results begin with estimates for reference year 2014 and reflect conceptual and methodological changes designed to enhance the scope and relevance of the program. Following the introduction of these changes, a study on the break in the time series will be conducted later in 2017. his article highlights trends in industrial R&D spending in advance of the upcoming release of the new data. The analysis underscores the extent to which support for higher R&D spending in more recent years has come from resource-based companies.

    Release date: 2017-02-15

  • 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

  • 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

  • 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
Reference (17)

Reference (17) (0 to 10 of 17 results)

  • 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

  • Notices and consultations: 88F0006X2010001
    Description:

    Summary of the technical workshop on Estimates of Research and Development in the Higher Education Sector (HERD), held in Ottawa on October 16, 2009. Data users and experts from universities and colleges, granting councils and provincial and federal government departments proposed general and detailed recommendations for the methodology applied in estimating the HERD.

    Release date: 2010-02-26

  • Surveys and statistical programs – Documentation: 4201
    Description: The Annual Survey of Research and Development in Canadian Industry collects research and development (R&D) expenditures and personnel data used to monitor science and technology related activities of businesses and industrial non-profit organizations in Canada.

  • Surveys and statistical programs – Documentation: 4204
    Description: The Annual Survey of Research and Development of Canadian Private Non-Profit Organizations produces useful statistical information to monitor science and technology activities in Canada and to support the development of science and technology policy.

  • Surveys and statistical programs – Documentation: 4205
    Description: This survey collects in-house and outsourced research and development expenditures on energy-related technology of businesses and industrial non-profit organizations in Canada.

  • Surveys and statistical programs – Documentation: 4206
    Description: This annual survey collected data in all areas of technology, by Canadian firms operating in the petroleum industries.

  • Surveys and statistical programs – Documentation: 4208
    Description: This survey collects detailed expenditure and full-time equivalent personnel data on the scientific activities of provincial research organizations.

  • Surveys and statistical programs – Documentation: 4209
    Description: These statistical estimates cover scientific and technological (S&T) activities of the provincial government sector, except for provincial research organizations (PRO) which are surveyed separately (see record number 4208).

  • Surveys and statistical programs – Documentation: 4210
    Description: These statistical estimates cover scientific and technological (S&T) activities of the provincial government sector, except for provincial research organizations (PRO) which are surveyed separately (see record number 4208).

  • Surveys and statistical programs – Documentation: 4212
    Description: This survey collects financial and operating data on expenditures and full-time equivalent personnel on the scientific activities of Federal Government Public Administration in Canada.
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