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- Annual Survey of Research and Development in Canadian Industry (91)
- Federal Science Expenditures and Personnel, Activities in the Social Sciences and Natural Sciences (84)
- Research and Development of Canadian Private Non-Profit Organizations (62)
- Scientific Activities of Provincial Research Organizations, Activities in Natural Sciences and Engineering (43)
- Provincial Government Activities in the Natural Sciences (40)
- Scientific and Technological Activities of Provincial Governments (35)
- Gross Domestic Expenditures on Research and Development (21)
- Higher Education Research and Development Estimates (20)
- Survey of Intellectual Property Commercialization in the Higher Education Sector (7)
- Energy Research and Development Expenditures by Area of Technology (6)
- Survey of Innovation (6)
- Survey of Digital Technology and Internet Use (4)
- Biotechnology Use and Development Survey (4)
- Survey of Advanced Technology (3)
- Energy Research and Development Expenditures - Petroleum Firms (2)
- Characteristics of Growth Firms (2)
- Bioproducts Production and Development Survey (2)
- Survey of Postsecondary Faculty and Researchers (2)
- Survey of Environmental Goods and Services (1)
- National Gross Domestic Product by Income and by Expenditure Accounts (1)
- Provincial and Territorial Gross Domestic Product by Income and by Expenditure Accounts (1)
- Annual Environmental Protection Expenditures Survey (1)
- Consumer Price Index (1)
- Survey of Employment, Payrolls and Hours (1)
- Stock and Consumption of Fixed Non-residential Capital (1)
- Survey of Biotechnology Use in Canadian Industries (1)
- Survey of Innovation and Business Strategy (1)
- Federal Patents, Licences and Royalties Survey (1)
- Business Innovation and Growth Support (1)
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All (369)
All (369) (60 to 70 of 369 results)
- Table: 27-10-0359-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Total domestic expenditures on research and development (R&D) as percentage of gross domestic product (GDP). 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: 2023-10-13
- Table: 27-10-0360-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Percentage of total research and development (R&D) expenditure by performing sector. 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: 2023-10-13
- 63. Sources of funds for expenditures on research and development (R&D) in the higher education sectorTable: 27-10-0363-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Sources of funds for expenditures on research and development (R&D) in the higher education sector. 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: 2023-10-13
- Table: 27-10-0382-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of advanced technology, most critical government support programs for investment activities in advanced technologies between 2020 and 2022, by North American Industry Classification System (NAICS) industry and enterprise size for Canada and certain provinces.Release date: 2023-07-28
- Articles and reports: 11-621-M2023001Description: 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-X202200100009Description:
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-M2022002Description:
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 - Articles and reports: 11-621-M2021003Description:
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-M2020072Description:
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: 37-10-0166-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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
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Data (80)
Data (80) (50 to 60 of 80 results)
- Table: 27-10-0332-01Geography: CanadaFrequency: AnnualDescription:
This table contains 48 series, with data for years 2014 - 2015 (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) Nature of research and development (4 items: Total research; Basic research; Applied research; Experimental development) Field of research and development (12 items: Natural sciences and engineering; Natural and formal sciences; Engineering and technology; Software-related sciences and technology; ...).
Release date: 2024-02-09 - Table: 27-10-0273-01Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: AnnualDescription: 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: 2023-12-22
- Table: 27-10-0273-02Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: AnnualDescription: Expenditures on research and development (R&D) by performing sectors. 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: 2023-12-22
- Table: 27-10-0025-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Provincial estimates of research and development expenditures in the higher education sector, by funding sector and type of science by provinces, from 2000 to today.Release date: 2023-12-01
- Table: 27-10-0359-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Total domestic expenditures on research and development (R&D) as percentage of gross domestic product (GDP). 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: 2023-10-13
- Table: 27-10-0360-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Percentage of total research and development (R&D) expenditure by performing sector. 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: 2023-10-13
- 57. Sources of funds for expenditures on research and development (R&D) in the higher education sectorTable: 27-10-0363-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Sources of funds for expenditures on research and development (R&D) in the higher education sector. 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: 2023-10-13
- Table: 27-10-0382-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of advanced technology, most critical government support programs for investment activities in advanced technologies between 2020 and 2022, by North American Industry Classification System (NAICS) industry and enterprise size for Canada and certain provinces.Release date: 2023-07-28
- Table: 37-10-0166-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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 - Table: 37-10-0167-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
The proportion involved in an academic or applied research project among college professors, instructors, teachers or researchers in the past 5 years, by employment status, region, 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
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Analysis (271)
Analysis (271) (10 to 20 of 271 results)
- 11. Study: Why are multinationals more productive than non-multinationals? Evidence from Canada ArchivedStats in brief: 11-001-X202014722585Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-05-26
- Articles and reports: 11F0019M2020008Description:
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-X2017001Description:
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-X201704615423Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2017-02-15
- Articles and reports: 11-626-X2016063Description:
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 - 16. Bioproducts Production and Development Survey 2015 ArchivedStats in brief: 11-001-X2016356942Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2016-12-21
- Articles and reports: 11F0019M2016386Description:
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-XDescription:
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-XDescription:
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 - 20. Imputation for nonmonotone nonresponse in the survey of industrial research and development ArchivedArticles and reports: 12-001-X201200211753Description:
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
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Reference (18)
Reference (18) (0 to 10 of 18 results)
- Classification: 89-26-0004Description: 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: 88F0006X2010001Description:
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: 4201Description: 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: 4204Description: 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: 4205Description: 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: 4206Description: This annual survey collected data in all areas of technology, by Canadian firms operating in the petroleum industries.
- Surveys and statistical programs – Documentation: 4208Description: This survey collects detailed expenditure and full-time equivalent personnel data on the scientific activities of provincial research organizations.
- Surveys and statistical programs – Documentation: 4209Description: 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: 4210Description: 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).
- 10. Federal Science Expenditures and Personnel, Activities in the Social Sciences and Natural SciencesSurveys and statistical programs – Documentation: 4212Description: 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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