Keyword search

View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Subject

Type

5 facets displayed. 0 facets selected.

Year of publication

22 facets displayed. 0 facets selected.

Geography

3 facets displayed. 0 facets selected.

Survey or statistical program

14 facets displayed. 0 facets selected.

Portal

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (95)

All (95) (90 to 100 of 95 results)

  • 91. The precision of productivity measures Archived
    Articles and reports: 15-204-X19990005493
    Description:

    This chapter looks at how exact productivity estimates are.

    Release date: 2001-02-14
  • 92. Productivity growth in Canada and the United States Archived
    Articles and reports: 15-204-X19990005494
    Description:

    This chapter examines long-run productivity growth trends in the Canadian and U.S. business and manufacturing sectors, and short-run growth in labour productivity.

    Release date: 2001-02-14
  • 93. Cyclical behaviour of industrial labour productivity in Canada Archived
    Articles and reports: 15-204-X19990005497
    Description:

    This chapter investigates changes in the way labour productivity moves over the course of the business cycle, and how short-run changes in labour productivity play out across industries.

    Release date: 2001-02-14
  • 94. Innovation and Training in New Firms Archived
    Articles and reports: 11F0019M2000123
    Geography: Canada
    Description:

    Recent studies have demonstrated the quantitative importance of entry, exit, growth and decline in the industrial population. It is this turnover that rewards innovative activity and contributes to productivity growth.

    While the size of the entry population is impressive - especially when cumulated over time - the importance of entry is ultimately due to its impact on innovation in the economy. Experimentation is important in a dynamic, market-based economy. A key part of the experimentation comes from entrants. New entrepreneurs constantly offer consumers new products both in terms of the basic good and the level of service that accompanies it.

    This experimentation is associated with significant costs since many entrants fail. Young firms are most at risk of failure; data drawn from a longitudinal file of Canadian entrants in both the goods and service sectors show that over half the new firms that fail do so in the first two years of life. Life is short for the majority of entrants. Only 1 in 5 new firms survive to their tenth birthday.

    Since so many entrants fall by the wayside, it is of inherent interest to understand the conditions that are associated with success, the conditions that allow the potential in new entrepreneurs to come to fruition. The success of an entrant is due to its choosing the correct combination of strategies and activities. To understand how these capabilities contribute to growth, it is necessary to study how the performance of entrants relates to differences in strategies and pursued activities.

    This paper describes the environment and the characteristics of entrants that manage to survive and grow. In doing so, it focuses on two issues. The first is the innovativeness of entrants and the extent to which their growth depends on their innovativeness. The second is to outline how the stress on worker skills, which is partially related to training, complements innovation and contributes to growth.

    Release date: 2000-12-08
  • 95. Measuring productivity Archived
    Articles and reports: 75-001-X19950011780
    Geography: Canada
    Description:

    When productivity increases in a sector, does it mean employment growth? This article explores the question and introduces a new concept: multifactor productivity.

    Release date: 1995-03-08
Data (1)

Data (1) ((1 result))

  • 1. The Canadian Productivity Accounts: Data Archived
    Table: 15-003-X
    Description:

    The Canadian Productivity Accounts: Data is an electronic publication that contains a series of tables on productivity growth and related variables for the business sector and its 51 major sub-sectors based on the North American Industry Classification System. These tables allow users to have a broader perspective on Canadian economic performance. They complement the information available on CANSIM which offers more detail, particularly at the industry level.

    Canadian Productivity Accounts (CPA) are responsible for producing, analyzing and disseminating Statistics Canada's official data on productivity and for producing and integrating data on employment, hours worked and capital services consistent with the Canadian System of National Accounts. To this end, the CPA comprise three programs. The quarterly program provides current estimates on labour productivity and labour costs at the aggregate level for 15 industry groups. The annual national program provides yearly estimates on labour productivity, multifactor productivity and several indicators of sources of growth and competitiveness as they apply to the major sectors of the economy and to the industry level. Lastly, the annual provincial program, as an integral part of the Provincial Economic Accounts, provides estimates on employment, hours worked, labour productivity and labour costs at the industry level for each province and territory.

    The Canadian Productivity Accounts: Data covers four series of statistical tables:

    Table 1: Output, labour compensation, capital cost and cost of intermediate inputs in current dollars

    Table 2: Productivity and related measures

    Table 3: Productivity and related measures for the business sector, Canada and United States

    Table 4: Productivity and related measures for the manufacturing sector, Canada and United States

    Productivity measures the efficiency with which inputs (labour and capital in particular) are utilized in production. Productivity measures can be applied to a single input, such as labour productivity (output per hour worked), as well as to multifactor productivity (output per unit of combined labour and capital inputs). Statistics Canada produces these two main measures of productivity, but other productivity ratios can also be measured (e.g., output per unit of capital services).

    Release date: 2007-12-06
Analysis (87)

Analysis (87) (10 to 20 of 87 results)

  • 11. Productivity: What Is It? How Is It Measured? What Has Canada's Performance Been Over the Period 1961 to 2012? Archived
    Articles and reports: 15-206-X2014038
    Description:

    This paper provides an overview of the productivity program at Statistics Canada and a brief description of Canada’s productivity performance. The paper defines productivity and the various measures that are used to investigate different aspects of productivity growth. It describes the difference between partial productivity measures (such as labour productivity) and a more complete measure (multifactor productivity) and the advantages and disadvantages of each. The paper explains why productivity is important. It outlines how productivity growth fits into the growth accounting framework and how this framework is used to examine the various sources of economic growth. The paper briefly discusses the challenges that face statisticians in measuring productivity growth. It also provides an overview of Canada’s long-term productivity performance and compares Canada to the United States—both in terms of productivity levels and productivity growth rates.

    Release date: 2014-09-15
  • 12. Productivity Growth and International Competitiveness Archived
    Articles and reports: 15-206-X2014037
    Description:

    This paper presents estimates of effective multifactor productivity (MFP) growth for Canada, the United States, Australia, Japan and selected European Union (EU) countries, based on the EU KLEMS productivity database and the World Input-Output Tables. Effective MFP growth captures the impact of the productivity gains in upstream industries on the productivity growth and international competitiveness of domestic industries, thereby providing an appropriate measure of productivity growth and international competitiveness in the production of final demand products such as consumption, investment and export products. A substantial portion of MFP growth, especially for small, open economies such as Canada’s, is attributable to gains in the production of intermediate inputs in foreign countries. Productivity growth tends to be higher in investment and export products than for the production of consumption products. Technical progress and productivity growth in foreign countries have made a larger contribution to production growth in investment and export products than in consumption products. The analysis provides empirical evidence consistent with the hypothesis that effective MFP growth is a more informative relevant indicator of international competitiveness than is standard MFP growth.

    Release date: 2014-09-09
  • 13. Business Entry and Exit Rates in Canada: A 30-year Perspective Archived
    Articles and reports: 11-626-X2014038
    Description:

    This article in the Economic Insights series describes the results of a data linkage project that created experimental long-term estimates of firm entry and exit rates for the Canadian business sector. It is part of a series of papers that examines firm dynamics using micro-economic data.

    Release date: 2014-08-25
  • 14. Revisions to the Multifactor Productivity Accounts Archived
    Articles and reports: 15-206-X2014035
    Description:

    This paper highlights revisions to multifactor productivity (MFP) growth and related variables in the business sector and in individual industries, which resulted from the historical revision of the Canadian System of National Accounts (CSNA) released October 1, 2012, revisions to the labour productivity accounts released October 12, 2012, and changes in the estimation of capital input that were made in order to improve its consistency in industry MFP growth estimates.

    The multifactor productivity program produces indexes of MFP and related measures (output, capital input, labour input and intermediate inputs) for the business sector, broad economic sub-sectors, and their constituent industries. The MFP program divides growth in labour productivity into its key determinants: capital intensity (changes in capital per hour worked), investment in human capital, and MFP, which includes technological change, organizational innovation and economies of scale.

    Release date: 2014-07-08
  • 15. Experimental Measures of Output and Productivity in the Canadian Hospital Sector, 2002 to 2010 Archived
    Articles and reports: 15-206-X2014034
    Description:

    Recent discussions about health care spending have focused on two issues: 1) the extent to which the increase in heath care spending is due to an increase in the quantity as opposed to the price of health care services, and 2) the efficiency and productivity of health care providers (e.g., hospital sectors, office of physicians, and long-term care).

    The key to addressing both issues is a direct output measure of health care services—a measure that does not currently exist. In the National Accounts, output of the health care sector is measured by the volume of inputs, which includes labour costs for physicians, nurses and administrative staff, consumption of capital, and intermediate inputs. An input-based output measure assumes that there are no productivity gains in the health care sector. As a result, it does not provide a measure of productivity performance, nor does it allow a decomposition of total health care expenditures into price and output quantity components.

    The main objective of this paper is to develop an experimental direct output measure for the Canadian hospital sector that can be used to address those issues. A large number of countries have already constructed a direct output measure of the hospital sector and other healthcare sectors.

    Release date: 2014-04-23
  • 16. Productivity Growth in the Canadian Broadcasting and Telecommunications Industry: Evidence from Micro Data Archived
    Articles and reports: 11F0027M2014089
    Geography: Canada
    Description:

    This paper examines two aspects of productivity growth in Canada's broadcasting and telecommunications industry. The first is the extent to which aggregate MFP growth in the sector came from scale economies as opposed to technical progress. The second is the extent to which aggregate labour productivity growth and MFP growth came from within-firm growth, and from the effect of reallocation due to firm entry and exit and within incumbents' the dynamic forces associated with competitive change.

    Release date: 2014-02-06
  • 17. Productivity Growth and Capacity Utilization in Canadian Business Industries Archived
    Articles and reports: 11-626-X2013031
    Geography: Canada
    Description:

    This article in the Economic Insights series reports the impact of correcting for variations in capacity utilization on multifactor productivity growth in Canadian business industries. It is based on a recently released Statistics Canada research paper. Results show that multifactor productivity growth is procyclical for almost all business industries, and that such pro-cyclicality largely reflects variations in capacity utilization in some industries, especially in manufacturing and mining.

    Release date: 2013-10-04
  • 18. Productivity Growth and Capacity Utilization Archived
    Articles and reports: 11F0027M2013085
    Geography: Canada
    Description:

    This paper presents a non-parametric approach for adjusting the multifactor productivity growth (MFPG) measure for variations in capacity utilization over time. In the framework developed here, a capital utilization measure is derived from the economic theory of production and is estimated by comparing the ex-post return with the ex-ante expected return on capital. The non-parametric approach is then compared with the parametric approach and the standard growth accounting framework. Both the non-parametric and parametric approaches correct for the cyclical bias in the standard MFPG measure, but the non-parametric approach offers more practical adjustment for capacity utilization, because it is easier to implement and more in line with the non-parametric approach long used by statistical agencies and researchers.

    Release date: 2013-07-23
  • 19. Productivity and Economic Growth in the Canadian Provinces, 1997 to 2010 Archived
    Articles and reports: 15-206-X2013030
    Geography: Canada, Province or territory
    Description:

    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
  • 20. Urban Productivity: Who Benefits from Agglomeration Economies? Archived
    Articles and reports: 11F0027M2013084
    Geography: Canada
    Description:

    There is abundant evidence that many firms cluster together in space and that there is an association between clustering and productivity. This paper moves beyond identifying the broad effects of clustering and explores how different types of firms benefit from agglomeration. It advances research on agglomeration by showing, first, that not all firms gain to the same degree from co-location and, second, that businesses with different internal capabilities capture different forms of geographical externalities. The empirical analysis focuses on Canadian manufacturing establishments operating over the period from 1989 to 1999.

    Release date: 2013-02-06
Reference (7)

Reference (7) ((7 results))

  • 1. Productivity: What Is It? How Is It Measured? What Has Canada's Performance Been? Archived
    Surveys and statistical programs – Documentation: 15-206-X2008017
    Description:

    This paper provides an overview of the productivity program at Statistics Canada and a brief description of Canada's productivity performance. The paper defines productivity and the various measures that are used to investigate different aspects of productivity growth. It describes the difference between partial productivity measures (such as labour productivity) and a more complete measure (multifactor productivity) and the advantages and disadvantages of each. The paper explains why productivity is important. It outlines how productivity growth fits into the growth accounting framework and how this framework is used to examine the various sources of economic growth. The paper briefly discusses the challenges that face statisticians in measuring productivity growth. It also provides an overview of Canada's long-term productivity performance and compares Canada to the United States - both in terms of productivity levels and productivity growth rates.

    Release date: 2008-02-25
  • 2. User Guide for Statistics Canada's Annual Multifactor Productivity Program Archived
    Surveys and statistical programs – Documentation: 15-206-X2007014
    Description:

    The Canadian Productivity Accounts (CPA) of Statistics Canada maintain two multifactor productivity (MFP) programs.

    The Major Sector Multifactor Productivity Program develops the indexes of MFP for the total business sector and major industry groups in the business sector.

    The Industry Multifactor Productivity Program or the Industry KLEMS Productivity Program develops the industry productivity database that includes MFP indexes, output, capital (K), labour (L), energy (E), materials (M) and services (S) inputs for the individual industries of the business sector at various levels of industry aggregation. This paper describes the methodologies and data sources that are used to construct the major sector MFP indexes and the industry productivity database (or the KLEMS database). More specifically, this paper is meant to:provide a background of the major sector MFP program and the industry KLEMS productivity program;present the methodology for measuring MFP;describe the data sources and data available from the MFP programs;present a quality rating of the industry KLEMS productivity data; anddescribe the research agenda related to the MFP program.

    Release date: 2007-12-06
  • 3. Revisions to the Quarterly Labour Productivity Estimates Archived
    Surveys and statistical programs – Documentation: 15-206-X2007012
    Description:

    This paper examines the various products associated with the quarterly labour productivity program. It outlines the nature of the volatility in the very short-run estimates and examines properties of the revisions made to the estimates of Canadian labour productivity and its components (gross domestic product and hours worked) since the inception of the program in 2001.

    Release date: 2007-10-18
  • 4. Multifactor Productivity in Canada: An Evaluation of Alternative Methods of Estimating Capital Services Archived
    Surveys and statistical programs – Documentation: 15-206-X2007009
    Description:

    This paper examines the effects of alternative specifications of the user costs of capital on the estimated price and volume indices of capital services. It asks how sensitive the results are to the use of exogenous versus endogenous rates of return, to alternate ways of including capital gains, and to whether corrections are made for tax rates. The paper also examines the effect of the various user cost formulae on the measured multifactor productivity growth.

    Release date: 2007-04-04
  • 5. National Accounts Advisory Committee: Overview of activities 2004 Archived
    Notices and consultations: 13-605-X20050018502
    Description:

    The National Accounts Advisory Committee reviews and gives advice on the concepts, methods, plans, standards as well as results associated with Statistics Canada's System of National Accounts.

    Release date: 2005-04-11
  • 6. Canada/U.S. Labour Productivity Revisions in the Business Sector Archived
    Surveys and statistical programs – Documentation: 11F0026M2005003
    Description:

    This paper examines the revision cycle for labour productivity estimates over the period 2000-2003.

    Release date: 2005-03-10
  • 7. The Statistics Canada Productivity Program: Methodology 2000 Archived
    Surveys and statistical programs – Documentation: 15-002-M2001001
    Description:

    This document describes the sources, concepts and methods utilized by the Canadian Productivity Accounts and discusses how they compare with their U.S. counterparts.

    Release date: 2004-12-24
Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.