Science and technology
Key indicators
Selected geographical area: Canada
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298,850 full-time equivalents16,500(annual change)
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$16.6 billion4.5%(annual change)
Subject
- Limit subject index to Biotechnology and nanotechnology
- Limit subject index to Geomatics and geospatial technologies
- Limit subject index to Human resources in science and technology
- Limit subject index to Innovation and business strategy
- Limit subject index to Enterprise and subsidiary activities
- Limit subject index to Industrial activities
- Limit subject index to Organizational and management practices
- Limit subject index to Patents, copyrights and trademarks
- Limit subject index to Products and processes
- Limit subject index to Software licensing and advanced technology use
- Limit subject index to Other content related to Innovation and business strategy
- Limit subject index to Research and development
- Limit subject index to Health expenditures and activities
- Limit subject index to Institutional expenditures and activities
- Limit subject index to Private expenditures and activities
- Limit subject index to Public expenditures and activities
- Limit subject index to Other content related to Research and development
- Limit subject index to Other content related to Science and technology
Results
All (1,061)
All (1,061) (0 to 10 of 1,061 results)
- Articles and reports: 22-20-00012024002Description: This article explores trends in patent applications made by Canadian-resident businesses for advanced technologies from 2001 to 2019, drawing on Eurostat's aggregation of high-tech patents. Approximately one-third of applications fall under high-tech categories, the bulk of which were associated with Communication, Computer, and Automated business equipment technologies. While these fields saw growth until 2012, a subsequent decline occurred, notably in Computer and Electronic Product Manufacturing. Biotechnology, Semiconductors, and Lasers showed limited dynamism, while aviation technology applications surged by nearly twentyfold over the period.Release date: 2024-05-21
- Articles and reports: 18-001-X2024003Description: This study compares the Government of Canada’s direct and indirect measures to support R&D, as captured by business innovation and growth support (BIGS) programs and the Scientific Research and Experimental Development (SR&ED) tax incentive program. BIGS and SR&ED are two central instruments that the Canadian government uses to stimulate R&D expenditures in the business sector.Release date: 2024-05-17
- Data Visualization: 71-607-X2022018Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).Release date: 2024-05-15
- Stats in brief: 11-001-X20241214881Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-04-30
- 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
- Table: 27-10-0367-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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: 27-10-0368-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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: 27-10-0369-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: 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: 33-10-0153-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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: 33-10-0154-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
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
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Data (487)
Data (487) (410 to 420 of 487 results)
- Table: 27-10-0064-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, business activities relocated from another country into Canada in the last three years, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2007 to today.Release date: 2014-07-30
- Table: 27-10-0065-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, most important countries from which business activities were relocated into Canada, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0066-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, enterprises that manufactured goods, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- 414. Innovation and business strategy, manufactured goods sold and exported as is by other enterprisesTable: 27-10-0067-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, manufactured goods sold and exported as is by other enterprises, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0068-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, manufactured goods sold to another enterprise, used as intermediate input in final goods and exported, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0069-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, goods bought and sold outside Canada without goods entering the country, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0076-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, percentage of sales from goods bought and sold outside Canada without goods entering the country, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0078-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, enterprises that exported or attempted to export goods or provide services outside of Canada, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2007 to today.Release date: 2014-07-30
- Table: 27-10-0096-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, enterprises that are subsidiaries of another enterprise, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
- Table: 27-10-0097-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Survey of innovation and business strategy, location of enterprises' head office, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.Release date: 2014-07-30
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Analysis (528)
Analysis (528) (40 to 50 of 528 results)
- Articles and reports: 11F0019M2020015Description:
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 - 42. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
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-X202018122563Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-06-29
- Articles and reports: 11F0019M2020011Description:
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 - 45. Study: Innovation in immigrant-owned firms in Canada ArchivedStats in brief: 11-001-X202016122586Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-06-09
- Articles and reports: 11F0019M2020009Description:
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 - 47. 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 - 49. Study: Productivity dispersion, technological diffusion and productivity growth in Canada ArchivedStats in brief: 11-001-X202001721943Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-01-17
- Articles and reports: 11F0019M2020002Description:
Labour productivity growth in the business sector in Canada started to decline in 2000, from 2.3% per year in the period from 1991 to 2000 to 1.0% per year in the period from 2000 to 2015. This paper examines how innovation, innovation diffusion across firms, and business dynamism affected the productivity slowdown.
Release date: 2020-01-17
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Reference (43)
Reference (43) (0 to 10 of 43 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
- Classification: 12-604-XDescription:
The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).
Release date: 2021-07-30 - 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 - 4. A Science-fiction Harvest ArchivedSurveys and statistical programs – Documentation: 96-328-M2004026Description:
The issue of biotechnology in agriculture has generated much debate. This activity is designed to help students better understand biological systems for producing materials and their advantages over synthetic systems.
Release date: 2005-01-28 - 5. Technology on the Farm ArchivedSurveys and statistical programs – Documentation: 96-328-M2004027Description:
This activity looks at the different ways in which technology is used on the farm.
Release date: 2005-01-28 - 6. A Guide to Research on the New Economy ArchivedSurveys and statistical programs – Documentation: 11-622-M2003001Geography: CanadaDescription:
This report focusses on new studies that analyse information and communications technology industries, science-based industries, high-technology industries and firms, the knowledge-based economy, and knowledge workers.
Release date: 2003-05-15 - 7. Innovation in an evolving economy ArchivedNotices and consultations: 88-003-X20020026374Geography: CanadaDescription:
Statistics Canada's annual Economic Conference provides a forum for the exchange of empirical research among business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analyses while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review. This year's theme was Innovation in an Evolving Economy. At the May 6-7, 2002 conference there were 12 presentations, based directly on the analysis of Science, Innovation and Electronic Information Division (SIEID) data. These presentations were given by SIEID analysts, by Statistics Canada analysts in other groups, by facilitated access researchers and by analysts using published or commissioned estimates.
Release date: 2002-06-14 - Notices and consultations: 88-003-X20010015591Geography: CanadaDescription:
The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.
Release date: 2001-03-13 - Surveys and statistical programs – Documentation: 21-601-M1998034Description:
This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.
Release date: 2000-01-13 - 10. A Compendium of Science and Technology Statistics ArchivedSurveys and statistical programs – Documentation: 88F0006X1997001Description:
Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.
Release date: 1998-09-25
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