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  • 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 is the 2020 version 1.0. The CRDC will be revised within 2 years of its first release and on a five-year cycle after that, with possibility of 'evergreening' for minor changes once a year to reflect the changes in the research fields. CRDC 2020 version 1.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1663 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).

    Release date: 2020-10-05

  • 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

  • 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

  • Table: 27-10-0273-01
    (formerly: CANSIM 358-0001)
    Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Annual
    Description: Gross domestic expenditures on research and development, by funder, performer, science type and prices for provinces, territories and selected regions from 1963 to today.
    Release date: 2020-01-30

  • Table: 27-10-0346-01
    (formerly: CANSIM 358-0523)
    Geography: Canada
    Frequency: Annual
    Description:

    This table contains 10125 series, with data for years 2014 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) 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) Location of recipients (3 items: Total location of recipients; Within Canada; Outside Canada) Sector of recipients (15 items: Total outsourced (contracted out or granted) payments for research and development performed by other organizations; Business enterprise sector; Parent, affiliated and subsidiary companies; Other companies; ...).

    Release date: 2020-01-30

  • 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: 2019-03-26

  • Table: 37-10-0116-01
    (formerly: CANSIM 477-0115)
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2016-01-07

  • Table: 88-221-X
    Geography: Province or territory
    Description:

    Gross domestic expenditure on research and development (GERD) is a statistical series, constructed by adding together the intramural expenditures on R&D as reported by the performing sectors. As a term used by OECD Member countries, it is defined as total intramural expenditure on R&D performed on the national territory during a given period. GERD includes R&D performed within a country and funded from abroad but excludes payments for R&D performed abroad.

    Release date: 2015-10-22

  • 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
Data (12)

Data (12) (0 to 10 of 12 results)

  • Table: 27-10-0273-01
    (formerly: CANSIM 358-0001)
    Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Annual
    Description: Gross domestic expenditures on research and development, by funder, performer, science type and prices for provinces, territories and selected regions from 1963 to today.
    Release date: 2020-01-30

  • Table: 27-10-0346-01
    (formerly: CANSIM 358-0523)
    Geography: Canada
    Frequency: Annual
    Description:

    This table contains 10125 series, with data for years 2014 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) 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) Location of recipients (3 items: Total location of recipients; Within Canada; Outside Canada) Sector of recipients (15 items: Total outsourced (contracted out or granted) payments for research and development performed by other organizations; Business enterprise sector; Parent, affiliated and subsidiary companies; Other companies; ...).

    Release date: 2020-01-30

  • 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: 2019-03-26

  • Table: 37-10-0116-01
    (formerly: CANSIM 477-0115)
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description:

    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.

    Release date: 2016-01-07

  • Table: 88-221-X
    Geography: Province or territory
    Description:

    Gross domestic expenditure on research and development (GERD) is a statistical series, constructed by adding together the intramural expenditures on R&D as reported by the performing sectors. As a term used by OECD Member countries, it is defined as total intramural expenditure on R&D performed on the national territory during a given period. GERD includes R&D performed within a country and funded from abroad but excludes payments for R&D performed abroad.

    Release date: 2015-10-22

  • Table: 88-001-X2011001
    Description:

    Canada's economic competitiveness depends on scientific and technological development and also on the people responsible for this development, especially those engaged in R&D. In an earlier Science statistics bulletin, we published the gross domestic expenditures on R&D in Canada (GERD). This issue presents a supplementary measure to the GERD, the number of personnel who perform Canada's R&D activities.

    Release date: 2011-02-02

  • Table: 88-001-X2010001
    Description:

    Release date: 2010-02-11

  • Table: 88-001-X2009004
    Description:

    Release date: 2009-07-29
Analysis (50)

Analysis (50) (0 to 10 of 50 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

  • 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: 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

  • Articles and reports: 15-206-X2009026
    Geography: Canada
    Description:

    This paper presents estimates of intangible investment in Canada for the purpose of innovation, advertising and resource extraction. It first expands upon work by Beckstead and Gellatly (2003), Baldwin and Hanel (2003), Beckstead and Gellatly (2003), Beckstead and Vinodrai (2003) and Baldwin and Beckstead (2003) who argue that the scope of innovative activity extends beyond research and development (R&D) as defined by the Frascati Manual. It extends the definition of innovative activities to include all scientific and engineering expenditures - regardless of whether they are market-based or produced with a firm. The paper also considers expenditures on intangible items such as brands or resource exploration.

    The paper contributes to the existing literature by creating intangible investment estimates (science and engineering knowledge, advertising, mineral exploration by industry) using Statistics Canada's high quality and internally consistent databases. It produces estimates that accord with other intangibles studies (Corrado, Hulten and Sichel 2005, 2006; Jalava, Ahmavarra and Alanen 2007) and shows that traditional R&D type investment estimates account for about a quarter of intangible science and engineering investments.

    Release date: 2009-12-02

  • Articles and reports: 88-003-X200900110817
    Geography: Canada
    Description:

    Investment in research and development (R&D) is important to the economy of a country, and its measurement is an essential component of the Canadian statistical system. The publication, Gross Domestic Expenditures on Research and Development in Canada and the Provinces (GERD), 1997 to 2008 (Statistics Canada, 2008a) provides a statistical picture of the Canadian system of research and development. These data inform public policy, help benchmark Canadian performance against other countries (OECD, 2008 and 2007) and provide essential input to the study of the impact of science and technology on the life of Canadians.

    Release date: 2009-06-05

  • Stats in brief: 88-001-X200700810387
    Description:

    Gross domestic expenditures on research and development (GERD) represents total research and development (R&D) expenditures performed in a country's national territory during a given year. GERD includes R&D performed within a country and funded from abroad but excludes payments sent abroad for R&D performed in other countries.

    Release date: 2007-12-20

  • Articles and reports: 88-003-X20060039539
    Geography: Canada
    Description:

    A program of facilitated access to micro-data is now in place, whereby external researchers are sworn in as 'deemed employees' of Statistics Canada and enter into a contractual arrangement with the department to conduct approved research projects.

    Release date: 2006-12-06

  • Stats in brief: 88-001-X20060079289
    Geography: Province or territory
    Description:

    Gross domestic expenditures on research and development (GERD) represents total research and development (R&D) expenditures performed in a country's national territory during a given year. GERD includes R&D performed within a country and funded from abroad but excludes payments sent abroad for R&D performed in other countries.

    Release date: 2006-09-18
Reference (2)

Reference (2) ((2 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 is the 2020 version 1.0. The CRDC will be revised within 2 years of its first release and on a five-year cycle after that, with possibility of 'evergreening' for minor changes once a year to reflect the changes in the research fields. CRDC 2020 version 1.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1663 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).

    Release date: 2020-10-05

  • 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.
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