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Description: This table contains 94976 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) Energy technology (53 items: Total energy technologies; Fossil fuels; Crude oils and natural gas exploration; Crude oils and natural gas production and storage; ...) Energy-related research and development expenditures (8 items: Total in-house energy-related research and development expenditures; Funded by research and development performing companies (Canada); Funded by federal, provincial or territorial governments; Funded by all other Canadian sources; ...).

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

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This interactive data visualization dashboard provides a comprehensive picture of research and development (R&D) activities in Canadian industry. Users will find extensive coverage of characteristics on R&D activities in Canadian industry. The dashboard features information on in-house as well as outsourced R&D expenditures, statistics on energy-related R&D expenditures by area of technology and details on intellectual property product commerce.

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).

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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).

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This table contains 75 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; ...).

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This table contains 2925 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) 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) In-house research and development expenditure types (13 items: Total in-house research and development expenditures; Total current in-house research and development expenditures; Wages and salaries; Other current costs; ...).

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This table contains 30 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) Revenue groups (10 items: Total revenue groups; Less than $250,000; $250,000 to $999,999; $1,000,000 to $1,999,999; ...).

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This table contains 33 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) Employment size (11 items: Total employment size; 1 to 4 employees; 5 to 9 employees; 10 to 19 employees; ...).

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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; ...).

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Percentage of enterprises that conducted specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

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Percentage of enterprises for which specific reasons for employing personnel outside Canada were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for employing personnel outside Canada include: reduced labour costs, reduced costs other than labour costs, access to new markets, increased access to supply chains or regional trade networks, increased sales, proximity to important customers, access to specialized knowledge or technologies, tax or other financial incentives, improved logistics, lack of available labour in Canada and other reasons for employing personnel outside Canada. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

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Percentage of enterprises that moved activities from outside Canada into Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period.

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Percentage of enterprises that moved specific business activities from outside Canada into Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Business activities include production of goods, distribution and logistics services, call and help centre services, marketing and sales services, information and communication technology (ICT) services, professional services, engineering and research and development (R&D) services, general management services, and all other business activities.

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Percentage of enterprises for which specific reasons for bringing production of goods activities to Canada were not at all important, somewhat important, important, very important or not applicable, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to production of goods.

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Percentage of enterprises for which specific reasons for bringing distribution and logistics services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to distribution and logistics services.

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Percentage of enterprises for which specific reasons for bringing call and help centre services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to call and help centre services.

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Percentage of enterprises for which specific reasons for bringing marketing and sales services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to marketing and sales services.

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Percentage of enterprises for which specific reasons for bringing information and communication technology (ICT) services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to information and communication technology (ICT) services.

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Percentage of enterprises for which specific reasons for bringing professional services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to professional services.

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Recent improvements in robotics have rekindled ancient fears about the impact of robotics on humankind. Unfortunately, existing data seldom distinguishes robots from other types of automation, so research into their impact so far has been difficult. This article introduces research from a new Statistics Canada dataset, Robots!, on the impact of robots at the firm-level. The article examines the impact of robot investment on firm performance and employment at the enterprise level.

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Prior to the COVID-19 pandemic, advances in artificial intelligence and robotics raised concerns that automation might lead to relatively high unemployment rates in the coming years. This Economic Insights article examines the degree to which Canadians’ views about the impact of automation on net job creation in 1989 materialized three decades later.

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This infographic describes the invesment in robots in the Canadian economy and its impact on employment.

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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.

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

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.

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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.

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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.

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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: 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).

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The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).

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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.

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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.

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This activity looks at the different ways in which technology is used on the farm.

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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.

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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.

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The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.

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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.

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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.