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All (1,069) (1,050 to 1,060 of 1,069 results)

  • Surveys and statistical programs – Documentation: 4226
    Description: The survey provides information on companies developing new products and processes using biotechnologies.

  • Surveys and statistical programs – Documentation: 5001
    Description: This survey is being conducted to measure the extent to which knowledge management practices are used or will be used by Canadian businesses.

  • Surveys and statistical programs – Documentation: 5021
    Description: The objective of the survey is to produce new statistical information on the collection, use and disclosure of human genetic material in Canada.

  • Surveys and statistical programs – Documentation: 5038
    Description: The objectives of the survey are to produce statistical information on the functional food and natural health product sector and a profile of firms engaged in functional food and/or natural health product related activities in Canada.

  • Surveys and statistical programs – Documentation: 5072
    Description: The objective of this survey is to collect new statistical information on the nature and extent of product, process, marketing and organizational innovations in the Canadian food processing industry and on other emerging issues in the food processing industry;

  • Surveys and statistical programs – Documentation: 5073
    Description: The 2015 Bioproducts Production and Development Survey collects information on the characteristics and activities of businesses in Canada that develop and/or produce bioproducts and that collect, separate or refine biomass used in bioproducts.

  • Surveys and statistical programs – Documentation: 5096
    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.

  • Surveys and statistical programs – Documentation: 5097
    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.

  • Surveys and statistical programs – Documentation: 5109
    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.

  • Surveys and statistical programs – Documentation: 5113
    Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.
Data (494)

Data (494) (0 to 10 of 494 results)

  • Table: 33-10-0822-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0823-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0825-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Use of artificial intelligence (AI) by businesses and organizations in producing goods or delivering services over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0826-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Extent to which artificial intelligence (AI) has reduced tasks previously performed by employees and the impact of AI use on total employment, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0827-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0828-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0829-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Data Visualization: 71-607-X2022018
    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).
    Release date: 2024-05-15

  • Table: 27-10-0367-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-04-30

  • Table: 27-10-0368-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-04-30
Analysis (529)

Analysis (529) (20 to 30 of 529 results)

  • Articles and reports: 36-28-0001202200300005
    Description:

    This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.

    Release date: 2022-03-23

  • Articles and reports: 11-621-M2022002
    Description:

    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: 18-001-X2021003
    Description:

    Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.

    Release date: 2022-01-21

  • Stats in brief: 11-627-M2021082
    Description:

    The entrepreneurship indicator database provides data describing the dynamics of a subset of Canadian enterprises, such as the number of active enterprises with one or more employees, the number of high-growth enterprises, the number of births and deaths of active enterprises with one or more employees, the survival of newly created enterprises, and more.

    Release date: 2021-11-10

  • Articles and reports: 11-621-M2021003
    Description:

    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

  • Articles and reports: 18-001-X2021001
    Description:

    The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

    Release date: 2021-04-29

  • Articles and reports: 36-28-0001202100200003
    Description:

    Over the past two decades, Canadians have embraced digital technologies at an unprecedented pace and breadth. The objective of this study is to develop statistical indexes to measure the intensity of digitalization in Canadian industries. Because of the ubiquitous presence of digitalization and businesses’ and individuals’ increasing reliance on digital products and services, it is essential to measure the digitalization in the Canadian economy to better understand its impact so that governments, businesses and other stakeholders can make informed decisions.

    Release date: 2021-02-24

  • Stats in brief: 11-001-X202105528723
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-24

  • Stats in brief: 11-001-X202104922343
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-18

  • Articles and reports: 36-28-0001202100100004
    Description:

    In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

    Release date: 2021-01-27
Reference (43)

Reference (43) (20 to 30 of 43 results)

  • Surveys and statistical programs – Documentation: 4221
    Description: The purpose of this survey was to measure and develop a better understanding of the emerging contribution of biotechnology to the Canadian economy.

  • Surveys and statistical programs – Documentation: 4222
    Description: The objective of the survey is to assure the availability of pertinent information to monitor science and technology related activities and to support the development of science and technology policy.

  • Surveys and statistical programs – Documentation: 4223
    Description: The objective of the Survey of Advanced Technology is to collect important information about the extent to which Canadian enterprises use advanced technologies.

  • Surveys and statistical programs – Documentation: 4224
    Description: The objective of the survey is to provide information on innovation, advanced technology and advanced practices being used in the construction and related industries.

  • Surveys and statistical programs – Documentation: 4226
    Description: The survey provides information on companies developing new products and processes using biotechnologies.

  • Surveys and statistical programs – Documentation: 5001
    Description: This survey is being conducted to measure the extent to which knowledge management practices are used or will be used by Canadian businesses.

  • Surveys and statistical programs – Documentation: 5021
    Description: The objective of the survey is to produce new statistical information on the collection, use and disclosure of human genetic material in Canada.

  • Surveys and statistical programs – Documentation: 5038
    Description: The objectives of the survey are to produce statistical information on the functional food and natural health product sector and a profile of firms engaged in functional food and/or natural health product related activities in Canada.

  • Surveys and statistical programs – Documentation: 5072
    Description: The objective of this survey is to collect new statistical information on the nature and extent of product, process, marketing and organizational innovations in the Canadian food processing industry and on other emerging issues in the food processing industry;

  • Surveys and statistical programs – Documentation: 5073
    Description: The 2015 Bioproducts Production and Development Survey collects information on the characteristics and activities of businesses in Canada that develop and/or produce bioproducts and that collect, separate or refine biomass used in bioproducts.
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