Science and technology

Description: 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.

Description: 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).

Description:

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.

Description:

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.

Description: 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.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

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).

Description:

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.

Description:

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.

Description:

Percentage of enterprises that sold only goods, only services or both goods and services, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

Description:

This table contains 42 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) Location of recipients (3 items: Total location of recipients; Within Canada; Outside Canada) Sector of recipients (14 items: Total outsourced (contracted out or granted) payments for research and development performed by other organizations; Business enterprise sector; Companies; Industrial research institutes or associations; ...).

Description:

This table contains 180 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) Payments made or received for intellectual property and other technology related services (20 items: Payments made to other organizations for intellectual property and other technology related services; Payments made for patents; Payments made for copyrights; Payments made for trademarks; ...) Type of organization (3 items: Total payments for intellectual property and other technology related services for affiliated and other organizations or individuals; Parent, affiliated or subsidiary companies made within Canada; Other companies, organizations or individuals) Location of payments (3 items: Total payments for intellectual property and other technology related services within Canada or outside of Canada; Within Canada; Outside Canada).

Description:

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; ...).

Description: Annual output, gross domestic product, and compensation of employees estimates of the environmental and clean technology products sector, by industry, for Canada, provinces and territories.

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.

Description: 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.

Description: 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.

Description:

The number of enterprises and the value of support to enterprises broken down into eight employment size categories ranging from 0-4 employees to 500 employees or more.

Description:

The number of enterprises and the value of support to enterprises broken down into nine revenue size categories ranging from 0$ to $250,000 to $500,000,000 or greater.

Description:

The number of enterprises and the value of support to enterprises broken down into various industries of the North American Industrial Classification System (NAICS).

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.

Description:

Presented in almanac style, the 2012 Canada Year Book contains more than 500 pages of tables, charts and succinct analytical articles on every major area of Statistics Canada's expertise. The Canada Year Book is the premier reference on the social and economic life of Canada and its citizens.

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.

Description:

This series, which consists of about six issues per year, presents a variety of science and technology statistics. Each issue concerns a different topic, for example: research and development expenditures and personnel in business enterprises, science and technology expenditures and personnel in the federal government or provincial governments; and estimates of higher education expenditures on research and development.

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.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

Statistics Canada is engaged in the "Information System for Science and Technology Project" 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 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 data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

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 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

Description:

This survey collects data to monitor science and technology related activities in Canada and to support the development of science and technology policy.

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.

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.

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.

Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.

Description: Science, Innovation and Electronic Information Division is engaged in a joint project with Industry Canada to investigate the commercialization of innovation process in Canadian firms of small and medium size.

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.

Description: Statistics Canada has undertaken this survey to provide statistical information on the strategic decisions, innovation activities and operational tactics used by Canadian enterprises. The survey also collects information on the involvement of enterprises in global value chains.

Description: The survey of intellectual property management (SIPM) provides statistical information on the use and management of Intellectual Property (IP) by Canadian enterprises in selected industry groups.

Description: Results from this survey will assist in the formulation of key intellectual property (IP) indicators for the federal government. The data collected will be used by federal science policy analysts.

Description: Research and Development (R&D) personnel data are essential to assure the availability of pertinent statistical information to monitor science and technology (S&T) related activities in Canada and to support the development of science and technology policy.