Productivity accounts

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  • Articles and reports: 11F0027M2014092
    Geography: Province or territory

    Using data from the Provincial KLEMS database, this paper asks whether provincial economies have undergone structural change in their business sectors since 2000. It does so by applying a measure of industrial change (the dissimilarity index) using measures of output (real GDP) and hours worked. The paper also develops a statistical methodology to test whether the shifts in the industrial composition of output and hours worked over the period are due to random year-over-year changes in industrial structure or long-term systematic change in the structure of provincial economies. The paper is designed to inform discussion and analysis of recent changes in industrial composition at the national level, notably, the decline in manufacturing output and the concomitant rise of resource industries, and the implications of this change for provincial economies.

    Release date: 2014-05-07

  • Articles and reports: 15-206-X2013030
    Geography: Canada, Province or territory

    This paper provides a provincial perspective on the slowdown in productivity and economic growth in the total business sector in Canada between 2000 and 2010 compared to the late 1990s. It uses the most recent provincial multifactor productivity database.

    Release date: 2013-04-17

  • Articles and reports: 11-010-X20070039602
    Geography: Province or territory

    The productivity slowdown during 2006 largely originated in the mining and manufacturing industries. The drop in mining was part of a long-term trend, while for manufacturing it was mostly cyclical. Many sectors struggled with labour quality as a result of shortages, especially in western Canada.

    Release date: 2007-03-15

  • Articles and reports: 15-206-X2007007
    Geography: Province or territory

    Productivity statistics garner much attention because they are key indicators of economic progress. This paper reports on the average growth in provincial labour productivity from 1997 to 2005. It examines how medium-term differences in productivity growth have affected the relative levels of labour productivity in different provinces. The data show that the relative position of most provinces has remained fairly stable over the 1997-to-2005 period when benchmarked against changes in the national average. The notable exception is Newfoundland and Labrador, which experienced much stronger average productivity growth during this period than other provinces. This growth substantially improved its relative labour productivity when evaluated in real terms.

    The paper also examines the effect that a second factor - changes in the prices received for products - has had on nominal productivity differences between provinces. The data show that the resource-rich provinces of Alberta and Newfoundland and Labrador have benefited substantially from higher relative prices.

    Release date: 2007-01-15

  • Articles and reports: 11-624-M2005011
    Geography: Province or territory

    This paper compares output per person across Canadian provinces - using nominal or current dollar GDP per capita as the metric over the period 1990 to 2003. Differences in GDP per capita can be attributed to differences in the underlying efficiency of provincial economies. This is measured by labour productivity or GDP per hours worked. Differences also arise from the amount of human resources that are employed, as measured by work intensity or hours worked per capita. This paper examines the extent to which differences in GDP per capita can be attributed to each of these two factors.

    Release date: 2005-02-22

  • Articles and reports: 11F0019M2001180
    Geography: Province or territory

    This study examines provincial differences in productivity (GDP per job) using decomposition and regression analysis. In the first stage of the study, the relative size of productivity differences across provinces is examined. Then, these differences are decomposed into two components - the first is the portion of the difference that arises from industry-mix, and the second is due to "real" productivity differences at the industry level. The paper also examines the contributions of the "new" and "old" economy sectors to differences in provincial productivity. Finally, regression analysis is performed in order to determine the statistical significance of interprovincial productivity differences. The paper finds that British Columbia, Alberta, Saskatchewan, Ontario and Quebec do not differ significantly from another in terms of GDP per job after differences in industry mix are considered. Manitoba and the Atlantic Provinces lag behind the others. Most of the difference in the latter two cases stems from "real" differences at the industry level rather than from the effect of differences in industry mix. The Natural Resources sector plays an important role in bolstering the performance of Alberta and Saskatchewan.

    Release date: 2001-12-06
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