Productivity accounts

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This presentation focuses on labour productivity, a measure of efficiency widely used in conjunction with data on labour costs and profitability to gauge the competitiveness of Canadian businesses.

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The COVID-19 Pandemic has been affecting Canadians’ daily lives since the second quarter of 2020. Production and employment were cut back largely at the beginning in order to slow the spread of this contagious disease, leading to a sharp decline in income and a rise in the unemployment rate. GDP per capita of a country is often used for assessing the standard of living and its cross-country comparisons. Since 2020, Canada’s per capita GDP has averaged -1.3% per year, down from its long-term annual average of 1.2% from 1981 to 2019 and from 1.0% per year from 2010 to 2019. For a better understanding of the sources of Canada’s per capita GDP growth, this article decomposes GDP per capita into labour productivity, work intensity, employment rate, participation rate, and the share of working population. The contributions of these 5 ratios to Canada’s per capita GDP growth are examined.

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An increase in the economic participation of women has been identified as a major driver of economic growth, leading to increased interest in supporting the entrepreneurial activities of women. This paper uses newly developed data on the gender of business owners to investigate differences in labour productivity between men-owned, women-owned and equally owned enterprises. This paper uses the Canadian Employer–Employee Dynamics Database (CEEDD).

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

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The Multifactor Productivity application is an analytical tool that provides custom aggregation and custom tabulation of productivity statistics based on the series in CODR table 36-10-0211. The application permits custom aggregation across industries for all published variables, data transformations such as growth rate calculations, log-transformations and index re-basing, correlation and density analysis and visualization of retrieved outputs. The output values from calculations are available as .csv files. Visualizations can be downloaded as .png files. The data in the application are annual values beginning in 1961 and ending with the most recent data available.

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The COVID-19 pandemic has changed how production occurs in the economy in two ways. One is the full or partial closure of non-essential activities such as travel, hospitality, arts and entertainment, personal services, airlines, etc. The other is the widespread shift from in-office work to working from home. This Insights article depicts labour productivity growth in Canada and its sources by industry during the COVID-19 pandemic in order to examine the implications these changes may have had on the productivity performance of the economy.

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

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

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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).

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

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Quarterly labour productivity and related measures, for the aggregate business sector, indexes.

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Quarterly labour productivity and related measures, by major industrial sectors for the business sector (15 two-digit North American Industry Classification System (NAICS) industries) and two sectors (goods-producing businesses and service-producing businesses), as well as for the total economy and the non-business sector, indexes.

Description: Multifactor productivity and related variables in the aggregate business sector and major sub-sectors, by North American Industry Classification System (NAICS), provinces.

Description: Labour productivity and related measures by business sector industry and by non-commercial activity consistent with the industry accounts, provinces and territories, annual.

Description: Labour statistics by job category, for Canada, the provinces and territories, annual.

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This table presents data for the current year and previous 4 years on labour statistics by job category, for Canada, the provinces and territories, annually, by total number of jobs.

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This table presents data for the current year and previous 4 years on labour statistics by job category, for Canada, the provinces and territories, annually, by total number of jobs.

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This table presents data for the current year and previous 4 years on labour statistics by job category, for Canada, the provinces and territories, annually, by total number of jobs.

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This table presents data for the current year and previous 4 years on labour statistics by job category, for Canada, the provinces and territories, annually, by total number of jobs.

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This table presents data for the current year and previous 4 years on labour statistics by job category, for Canada, the provinces and territories, annually, by total number of jobs.

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This research paper constructs two experimental measures of the economic output of the education sector for Canada: an income-based measure and a cost-based measure. The measures differ from the existing measure currently used in the National Accounts, which is based on the volume of total input, and can be used to examine the productivity performance of the education sector. Both approaches are predicated on the notion that the output of the education sector represents investment in human capital. The income-based approach measures investment in education as increments in the future stream of earnings arising from education. The cost-based approach measures investment as total expenditures related to education.

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This article in the Economic Insights series discusses the impact of capitalization of research and development (R&D) expenditure on gross domestic product (GDP) and productivity growth. Capitalizing R&D expenditure increases the scope of investment, and hence, the level of measured capital and GDP. Because R&D expenditure accounts for a small share of GDP, R&D capitalization has little impact on GDP and labour productivity growth.

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This article in the Economic Insights series summarizes results from current Statistics Canada research on investment and capital stock accumulation. It is based on the study, "Intangible Capital and Productivity Growth in Canada".

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

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Intangible capital consists of investments that do not take on the solid, physical characteristics of machinery and equipment or buildings. Nevertheless, such investments have some of the properties of other types of investments in that they yield long-lasting benefits as a result of expenditures that are made today. In the National Accounts, these expenditures need to be capitalized rather than expensed as intermediate materials for purposes of estimating gross domestic product (GDP).

Recent papers have considered issues surrounding the measurement of intangibles. Baldwin et al. (2005) discussed issues surrounding research and development (R&D). They noted that R&D is only one of the components of innovation expenditures. Baldwin et al. (2009) extended the measurement of intangible investments beyond that of just R&D. At the heart of intangible investments, of course, are software and R&D. However, intangible investments also consist of purchased science services, own-account scientific services, exploration expenses in the resource sector, and advertising expenditures, because these create an intangible asset and yield long-term benefits.

This paper extends the authors' previous work in three ways. First, it expands it into several new areas--what are referred to as economic competencies. These involve primarily investments in human capital--via management and training investments as well as management consulting services. This not only provides broader coverage; it also allows cross-country comparisons of Canada to the United States.

Second, this paper moves from just measuring investment to also developing capital stock estimates. This requires assumptions about depreciation rates. In both instances, the paper adopts assumptions similar to those used elsewhere in developing estimates for the United States, in order to ensure comparability.

Third, the paper incorporates the estimates of intangible capital into the growth-accounting framework so as to understand how it is related to productivity growth. A comparison of Canada and the United States in this regard is also provided.

Description: This paper examines the revisions published in 2011 to Canadian and the United States business sector labour productivity estimates and related variables. In addition to the usual three years revision cycle of the Canadian National Accounts, hours worked in Canada were revised back to 1981 to incorporate the historical revision of the Labour Force Survey published in January 2011. The United States National Accounts estimates were revised back to 2003 and hours worked back to 2002.

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This paper asks how market expansion contributes to productivity growth. It investigates whether entry to both new international markets and new domestic markets is associated with greater productivity growth. It also examines whether exit from export markets is necessarily associated with deteriorating performance or whether it too can lead to success when associated with movements to new markets. Finally, the paper examines the strategy of firms that move to new markets after they withdraw from export markets in order to examine the differences that set them apart from their counterparts that do not find themselves able to adapt because they simply withdraw to their home domestic markets.

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This Economic Insight looks at commonly-used measures that are employed to compare the relative economic performance of Canada and the United States. It is based on research undertaken at Statistics Canada aimed at improving information about how and why Canadian and U.S. economic progress differs.

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Labour productivity growth in the Canadian business sector slowed substantially after 2000. Most of the slowdown occurred in the manufacturing sector. This paper examines how this slowdown was associated with the restructuring that occurred in manufacturing as a result of the increase in excess capacity, the dramatic increase in the Canada-U.S. exchange rate and a slowdown in export growth.

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This paper asks how the performance of self-employed unincorporated businesses affects the size of the gap in labour productivity between Canada and the United States. To do so, the business sector in each country is divided into unincorporated and corporate businesses, and estimates of labour productivity are generated for each sector.

The productivity performance of the unincorporated sector relative to the corporate sector is much lower in Canada than in the United States. As a result, when the unincorporated sector is removed from the estimates for the business sector in each country and only the corporate sectors for the two countries are compared, the gap in the level of productivity between Canada and the United States is reduced.

The unincorporated sector consists of both sole proprietorships and partnerships. This paper also investigates the impact of just sole proprietorships on the Canada-United States productivity gap. Sole proprietorships in the two countries more closely resemble one another than do partnerships, as U.S. partnerships are much larger than their Canadian counterparts.

When sole proprietorships are removed from the business-sector estimates of each country (allowing a comparison of sole proprietorships to the rest of the business sector, which consists of partnerships and the corporate sector), the gap in labour productivity between Canada and the United States also declines but by only about half as much as when both sole proprietorships and partnerships are removed.

The lower productivity of the unincorporated sector (both sole proprietorships and partnerships) accounted for almost the entire productivity gap between Canada and the United States in 1998. Since then, the productivity of the corporate sector in Canada has fallen relative to that of the corporate sector in the United States and the unincorporated sector no longer accounts for the entire gap.

Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.

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This paper describes the evolution of the Multifactor Productivity Program launched at Statistics Canada in 1987 and the improvements made in multifactor productivity measurement since then. The improvements were made in response to developments in the economic literature, better data sources, and the needs of the user community. The paper also summarizes research that uses alternate data and methodologies to assess the accuracy of the Multifactor Productivity Program and to provide insights into areas that traditional international multifactor productivity programs omit. Finally, the paper outlines future directions that are being contemplated to further improve the measurement of productivity at Statistics Canada.

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This report highlights the revisions to the quarterly estimates of labour productivity and associated variables in the business sector resulting from the historical revision of the national gross domestic product by income and by expenditure accounts (NIEA) released on October 1st, 2012.

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Measures of productivity are derived by comparing outputs and inputs. The System of National Accounts (SNA) in Canada provides a useful framework for organizing the information required for comparisons of this type. Integrated systems of economic accounts provide coherent, consistent alternate estimates of the various concepts that can be used to measure productivity.

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Official data from statistical agencies are not always ideal for cross-country comparisons because of differences in data sources and methodology. Analysts who engage in cross-country comparisons need to carefully choose among alternatives and sometimes adapt data especially for their purposes. This paper develops comparable capital stock estimates to examine the relative capital intensity of Canada and the United States.

To do so, the paper applies common depreciation rates to Canadian and U.S. assets to come up with comparable capital stock estimates by assets and by industry between the two countries. Based on common depreciation rates, it finds that capital intensity is higher in the Canadian business sector than in the U.S. business sector. This is the net result of quite different ratios at the individual asset level. Canada has as higher intensity of engineering infrastructure assets per dollar of gross domestic product produced. Canada has a lower intensity of information and communications technology (ICT) machinery and equipment (M&E). Non-ICT M&E and building assets intensities are more alike in the two countries.

However, these results do not control for the fact that different asset-specific capital intensities between Canada and the United States may be the result of a different industrial structure. When both assets and industry structure are taken into account, the overall picture changes somewhat. Canada's business sector continues to have a higher intensity of engineering infrastructure and about the same intensity of building assets; however, it has a deficit in M&E that goes beyond ICT assets.

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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.

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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.

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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.

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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.

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This paper generates depreciation profiles for a diverse set of assets based on patterns of resale prices and retirements. In doing so, it explores the sensitivity of estimates of the growth in capital stock and capital services to alternate estimates of depreciation.

In the first instance, survival analysis techniques are used to estimate changes in valuation of assets over the course of their service life. In the second instance, a two-step procedure is utilized that first estimates the discard function for used assets (assets discarded at zero prices) and then uses the resulting estimates to correct for selection bias that arises when just positive used-asset prices are employed to estimate age-price profiles to produce depreciation rates. For the third method, a discard function and an asset efficiency function are jointly specified and estimated.

These three different methods produce depreciation profiles that follow convex patterns. Accelerated profiles are apparent for many individual assets in the machinery and equipment and structures classes.

We also compare the ex post estimates of length of life that are based on outcomes to ex ante expected lives and find they are much the same. We therefore choose ex ante lives along with information from the ex post rates on the rate of decline in an asset's value to generate a set of depreciation rates for use in the productivity accounts.

We then use our depreciation model to produce estimates of the growth in capital stock and capital services over the 1961 to 1996 period. We find that the resulting estimates of capital stock and capital services are quite similar to those previously produced.