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  • Stats in brief: 11-001-X202030725863
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020024
    Description:

    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.

    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020025
    Description:

    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.

    Release date: 2020-11-02

  • Stats in brief: 11-627-M2020075
    Description:

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

    Release date: 2020-11-02

  • Articles and reports: 11-633-X2020004
    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.

    Release date: 2020-11-02

  • Articles and reports: 11F0019M2020017
    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.

    Release date: 2020-11-02

  • Articles and reports: 11-637-X202000100009
    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 fact sheet 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.

    Release date: 2020-10-20

  • Table: 22-10-0128-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0129-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0130-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20
Data (314)

Data (314) (0 to 10 of 314 results)

  • Table: 22-10-0128-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0129-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0130-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0131-01
    Frequency: Occasional
    Description:

    Average spending on specific measures to prevent or detect cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0132-01
    Frequency: Occasional
    Description:

    Average spending on specific measures to recover from cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0133-01
    Frequency: Occasional
    Description:

    Percentage of enterprises impacted by cyber security incidents in specific ways by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 27-10-0348-01
    (formerly: CANSIM 358-0525)
    Geography: Canada
    Frequency: Annual
    Description:

    This table contains 140 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) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (14 items: Payments made; Payments to parent, affiliated or subsidiary companies; Payments to parent, affiliated or subsidiary companies made within Canada; Payments to parent, affiliated or subsidiary companies made outside Canada; ...).

    Release date: 2020-10-14

  • Table: 27-10-0349-01
    (formerly: CANSIM 358-0526)
    Geography: Canada
    Frequency: Annual
    Description:

    This table contains 1500 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; ...) Intellectual property and other technology related services (10 items: Total intellectual property and other technology related services; Patents; Copyrights; Trademarks; ...) Payments made and received for intellectual property and other technology related services (2 items: Payments made; Payments received).

    Release date: 2020-10-14

  • Table: 27-10-0331-01
    (formerly: CANSIM 358-0508)
    Geography: Canada
    Frequency: Annual
    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).

    Release date: 2020-06-11

  • Table: 33-10-0219-01
    Geography: Canada
    Frequency: Annual
    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.

    Release date: 2020-01-16
Analysis (150)

Analysis (150) (0 to 10 of 150 results)

  • Stats in brief: 11-001-X202030725863
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020024
    Description:

    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.

    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020025
    Description:

    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.

    Release date: 2020-11-02

  • Stats in brief: 11-627-M2020075
    Description:

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

    Release date: 2020-11-02

  • Articles and reports: 11-633-X2020004
    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.

    Release date: 2020-11-02

  • Articles and reports: 11F0019M2020017
    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.

    Release date: 2020-11-02

  • Articles and reports: 11-637-X202000100009
    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 fact sheet 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.

    Release date: 2020-10-20

  • Stats in brief: 11-001-X202026916344
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-09-25

  • Articles and reports: 11F0019M2020015
    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.

    Release date: 2020-09-24

  • Stats in brief: 45-28-0001202000100033
    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.

    Release date: 2020-06-29
Reference (18)

Reference (18) (0 to 10 of 18 results)

  • Classification: 12-604-X
    Description:

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

    Release date: 2019-06-14

  • Surveys and statistical programs – Documentation: 96-328-M2004027
    Description:

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

    Release date: 2005-01-28

  • Surveys and statistical programs – Documentation: 96-328-M2004029
    Description:

    This activity looks at changes in technology and how they affect the dairy industry.

    Release date: 2005-01-28

  • Notices and consultations: 88-003-X20020026374
    Geography: Canada
    Description:

    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.

    Release date: 2002-06-14

  • Surveys and statistical programs – Documentation: 21-601-M1998034
    Description:

    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.

    Release date: 2000-01-13

  • Surveys and statistical programs – Documentation: 2936
    Description: This survey was sponsored by the Ontario Ministry of Economic Development and Trade.

  • Surveys and statistical programs – Documentation: 4218
    Description: The information collected by this survey provides information on innovation and innovation activities of Canadian businesses and their characteristics.

  • 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.
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