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Description: This study examined the impact of federal business innovation and growth support (BIGS) programs on firm financial performance measured using revenue, profit and employment metrics. Using Statistics Canada’s Business Linkable File Environment data, the study observed the effects of BIGS on exporting versus non-exporting firms and Canadian- versus U.S.-owned firms from 2015 to 2020. Unlike previous studies that relied mainly on survey data, one significant aspect of this research was the use of a new dataset, enabling panel data structures and models to be employed. To assess the impact of BIGS and research and development spending on three interrelated measures of firm financial performance, the CDM (Crépon et al., 1998) framework was adopted.

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: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.

Description: This infographic examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. Data is presented by program, countries of export, industry and comparison highlights.

Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.

Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.

Description: This infographic focuses on product and business process innovation introduced by Canadian businesses during the 2020-2022 period, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the rate of innovation among Canadian businesses, the most common obstacles to innovation reported by businesses, the prevalent types of intellectual property (IP) protection filed by innovation businesses that developed new products, and the role of government support for innovation.

Description: This paper presents a profile of Canadian women inventors who patent in Canada, based on a rigorous matching methodology and a comprehensive linked dataset that allows examination of not only patent applications, but also various demographic and business characteristics associated with inventors. Using data on patent applications from the Canadian Intellectual Property Office, linked to the Canadian Employer–Employee Dynamics Database from 2005 to 2019, this research seeks to answer the following questions: Who are the women inventors in Canada? What are their demographic characteristics? In what types of businesses do they work? How many are entrepreneurs?

Description: Value or potential value created by Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.

Description:

This table contains 24 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);  Country of control (3 items: Total country of control; Canada; Foreign);  Research and development expenditure groups (8 items: Total research and development expenditure groups; Less than $50,000; $50,000 to $99,999; $100,000 to $249,999; ...).

Description:

This table contains 9 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);  Changes and events that affected research and development expenditures (9 items: Outsourcing of research and development projects; Initiation of new research and development projects; Completion of existing research and development projects; Major change in funding of research and development projects (loss of funding); ...).

Description:

This table contains 225 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);  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).

Description: Survey of advanced technology, objectives of adopting advanced technologies, by type of objective, technology domain, North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, adoption of clean technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, adoption of additional advanced technologies, North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, applications related to geomatics or geospatial technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, applications related to nanotechnology, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, applications related to blockchain or distributed ledger technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Description: Survey of advanced technology, applications related to Internet-connected smart devices or systems, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

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:

The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

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.

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).

Description: This survey measures the general familiarity of owners and managers of enterprises across selected industries with intellectual property (IP). The purpose of collecting this information is to help evaluate impacts of Canadian Government programs to educate and raise awareness on the value of intellectual property.