Productivity accounts

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  • Stats in brief: 11-001-X202114630883
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-05-26

  • Stats in brief: 11-001-X202014722585
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-05-26

  • Stats in brief: 11-001-X202004322583
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-02-12

  • Articles and reports: 11F0019M2020005
    Description:

    Understanding intangible investments is essential for providing accurate measures of gross fixed capital formation (GFCF), gross domestic product (GDP) and productivity growth, and for understanding the innovation system. Statistical agencies need measures of intangible investment to produce economic statistics on aggregate activity that accurately measure concepts such as GDP, GFCF or savings. The levels of GDP, GFCF and savings will be underestimated to the extent that expenditures are incorrectly classified as intermediate inputs that are fully consumed during the period being measured—and not as investments that are not fully consumed during the period when the expenditures are incurred. Estimates for GDP and productivity growth rates may be similarly underestimated. This paper updates and expands upon the intangible capital estimates presented by Baldwin et al. (2009), who extended already measured intangibles (i.e., research and development [R&D], software, mineral exploration) to include additional asset classes consistent with international research on intangible capital measurement (see Corrado, Hulten and Sichel 2009).

    Release date: 2020-02-12

  • Stats in brief: 11-001-X202001721943
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-17

  • Articles and reports: 11F0019M2020001
    Description:

    Multifactor productivity (MFP) declined in Canada from 2000 to 2009 and then recovered after. The movements in productivity since 2000 have attracted great attention from researchers and policy makers because productivity is important both for economic growth and for improvements in living standards. This paper applies the stochastic frontier framework to decompose each firm’s MFP into two parts: its technological frontier and its technical efficiency. Change in the aggregate technological frontier refers to improvements in the productivity potential of an economy, i.e., the maximum productivity of an economy if all firms are fully efficient. Aggregate technical efficiency reflects the economy’s capacity to achieve that potential. The results of this decomposition can show whether the movements in productivity after 2000 in Canada were mainly the result of changes in the technological frontier and productivity potential or of changes in the technical efficiency.

    Release date: 2020-01-17

  • Articles and reports: 11F0019M2020002
    Description:

    Labour productivity growth in the business sector in Canada started to decline in 2000, from 2.3% per year in the period from 1991 to 2000 to 1.0% per year in the period from 2000 to 2015. This paper examines how innovation, innovation diffusion across firms, and business dynamism affected the productivity slowdown.

    Release date: 2020-01-17

  • Articles and reports: 11-626-X2019008
    Description: This article in the Economic Insights series examines how accounting for greenhouse gas emissions as part of economic activity changes the measurement of productivity growth.
    Release date: 2019-05-08

  • Stats in brief: 11-001-X201912820390
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-05-08

  • Articles and reports: 11F0019M2019013
    Description: The need to measure both the desirable outputs (goods and services) and the undesirable outputs (emissions of greenhouse gases [GHGs] and criteria air contaminants [CACs]) from economic activity is becoming increasingly important as economic performance and environmental performance become ever more intertwined. Standard measures of multifactor productivity (MFP) growth provide insights into rising standards of living and the performance of economies, but they may be misleading if only desirable outputs are considered. This study presents estimates of environmentally adjusted multifactor productivity (EAMFP) growth using a new comprehensive database. This database contains information on GHG and CAC emissions, as well as on the production activities of Canadian manufacturers.
    Release date: 2019-05-08
Reference (24)

Reference (24) (20 to 30 of 24 results)

  • Surveys and statistical programs – Documentation: 13-604-M1991011
    Description:

    The Canadian System of National Accounts (CSNA) has evolved considerably over the past four decades. This article presents a brief account of the relationship between this system, as it stands today, and the international standard for national accounting, which has been established by the United Nations. The major similarities and differences between the two systems are highlighted. The paper then goes on to briefly summarize the present state of discussions concerning revisions to the international SNA standard.

    Release date: 1990-11-30

  • Surveys and statistical programs – Documentation: 1402
    Description: Productivity measures the efficiency with which resources are employed in economic activity. Annual productivities series are widely watched by analysts, government policymakers and researchers to quantify the extent to which productivity contributes to economic growth and the standards of living over the long-run.

  • Surveys and statistical programs – Documentation: 5042
    Description: The quarterly program of the Canadian Productivity Accounts (CPA) produces, on a timely basis, data on labour productivity and related variables such as output, employment, hours worked, labour compensation and unit labour cost.

  • Surveys and statistical programs – Documentation: 5103
    Description: The annual provincial program of Canadian Productivity Accounts (CPA) produces annual data on jobs, hours worked, labour compensation and a variety of related variables, such as labour productivity and unit labour cost by province and territory.
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