Science and technology

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:

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:

Percentage of enterprises that produced or manufactured any of the goods that they sold, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

Description:

Percentage of enterprises that offered specific services to complement the sale of goods, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Complementary services include after-sales maintenance or repair, installation or implementation, training or technical support, after-sales condition monitoring or quality control, customization, distribution or transportation, leasing or rental agreements, and other services.

Description:

Percentage of enterprises that expanded capacity for specific services to complement the sale of goods, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Complementary services include after-sales maintenance or repair, installation or implementation, training or technical support, after-sales condition monitoring or quality control, customization, distribution or transportation, leasing or rental agreements, and other services.

Description:

Percentage of enterprises that faced a specific number of competitors in the main geographical market, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

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: Federal expenditures on science and technology and its components in current dollars and 2012 constant dollars by type of expenditures for Canada from 1995 to today.

Description: Federal expenditures on science and technology and its components, by type of science and technology components and performing sector for Canada from 1998 to today.

Description: Federal expenditures by science and technology components and activities and by performing sector for Canada from 2003 to today.

Description: Federal intramural expenditures by science and technology components and type of science for the National Capital Region from 1994 to today.

Description: Federal personnel engaged in science and technology activities, by type of science and personnel category for Canada from 1993 to today.

Description: Federal personnel engaged in science and technology and its components, by type of science and personnel category for Canada from 1993 to today.

Description: Federal personnel engaged in science and technology and its components, by type of science, personnel category, for provinces and territories from 2000 to today.

Description: Federal expenditures on science and technology and its components, by type of science and performing sector for Canada, provinces, territories and foreign from 2004 to today.

Description: Federal extramural expenditures on science and technology and its components, by type of science, performing sector, type of payment, for Canada and foreign, provinces and territories from 2003 to today.

Description:

Recent advances in artificial intelligence have rekindled ancient fears that robots will replace humans in the economy. Previous waves of automation changed but did not reduce labour’s role, but robots’ human-like flexibility could make this time different. Whether or not it will is an empirical question that has lacked suitable data to answer. This paper describes the creation of a dataset to fill the evidence gap in Canada. Robots! is firm-level panel data on robot adoption created using Canadian import data. The data identify a substantial amount of the robot investment in the Canadian economy from 1996 to 2017. Although many robots are imported by robotics wholesalers or programmers for resale, the majority of them can be attributed to their final (direct) adopting firm. The data can be used to study the impact of robot adoption at the economic region, industry or firm-level.

Description:

This study examines how employment and organizations have changed in response to robot adoption. As robotics and artificial intelligence (AI) become increasingly used by firms as the next engine of innovation and productivity growth, their effects on labour, firm practices and productivity have become a subject of growing importance. The study provides the most comprehensive evidence possible at the level of individual businesses on the employment and organizational effects of robot investments.

Description: 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 2020 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.

Description:

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.

Description:

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.

Description:

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.

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

Description:

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.

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

Description:

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.

Description: The purpose of this survey was to measure and develop a better understanding of the emerging contribution of biotechnology to the Canadian economy.

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.

Description: The objective of the Survey of Advanced Technology is to collect important information about the extent to which Canadian enterprises use advanced technologies.

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.

Description: The survey provides information on companies developing new products and processes using biotechnologies.

Description: This survey is being conducted to measure the extent to which knowledge management practices are used or will be used by Canadian businesses.

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

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.

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;

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.