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    • 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.

    • 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: 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: 5198
      Description: Gross domestic expenditure on research and development (GERD) is a statistical series, constructed by adding together the intramural expenditures on research and development (R&D) as reported by the performing sectors.

    • Surveys and statistical programs – Documentation: 5216
      Description: This survey collects information related to research and development (R&D) in post secondary institutions in Canada, in particular information related to faculty teaching, research, administration and service. The data from the survey is an important component in estimating higher education research and development expenditures (HERD).
    Data (92)

    Data (92) (60 to 70 of 92 results)

    Analysis (260)

    Analysis (260) (0 to 10 of 260 results)

    • Stats in brief: 11-001-X2019238688
      Description: Release published in The Daily – Statistics Canada’s official release bulletin
      Release date: 2019-08-26

    • 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

    • 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 (16)

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