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Description: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.

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Lumber, monthly production, by product; data in thousands of cubic metres.

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Lumber, monthly shipments, by product; data in thousands of cubic metres.

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Lumber, monthly stocks, by product; data in thousands of cubic metres.

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Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

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Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.

Description: Wood chips, monthly production, shipments and stocks for Canada, British Columbia, British Columbia coast, British Columbia interior and other provinces. The data are in thousands of oven-dry metric tonnes.

Description: Data presented at the national level by supply and disposition characteristic (supply of coal, coal coke received, etc.).

Description: Data presented on petroleum and other liquids by supply and disposition characteristics (e.g., production, exports, inventories, products supplied). Not all combinations are available.

Description: The Physical Flow Account for Plastic Material comprises 18 variables - expressed in tonnes - that describe the production and fate of plastic in products in the Canadian economy. This table displays resin detail for this account.

Description: Canadian lumber exports by mode of transportation, in thousands of cubic metres by provinces and for Canada.

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This table presents a few different variables for over 75 products from the mining industry such as aluminum, cobalt, gold, iron, lead, nickel, silver, stone, salt, lime, etc. The variables available in this table are the quantity produced, the quantity shipped, the closing inventories and the value of shipments. The data are published at the national, provincial and territorial levels.

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This dashboard presents selected data that are relevant for monitoring the impacts of COVID-19 on economic activity in Canada. It includes data on a range of monthly indicators - real GDP, consumer prices, the unemployment rate, merchandise exports and imports, retail sales, hours worked and manufacturing sales -- as well as monthly data on aircraft movements, railway carloadings, and travel between Canada and other countries.

Estimates are presented from January 2019 to the current reference month for each data series. The information will be updated continuously as new data becomes available, and additional series may be added to the dashboard as circumstances warrant.

To support the analysis of time series movements in the data, the dashboard reports changes in each series on both a month-over-month and year-over-year basis. For most of the variables reported, information on cumulative changes in the data both prior and subsequent to the end of 2019 is also presented by indexing the level estimates to December 2019, as depicted in the accompanying charts.

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This table contains 86609 series, with data for years 2012 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (17 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...) Principal statistics (22 items: Total revenue; Revenue from goods manufactured; Total expenses; Total salaries and wages, direct and indirect labour; ...) North American Industry Classification System (NAICS) (290 items: Manufacturing; Food manufacturing; Animal food manufacturing; Animal food manufacturing; ...).

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Principal statistics for the motor vehicle and motor vehicle parts manufacturing, motor vehicle body and trailer manufacturing industries. Estimates are presented on an annual basis for Canada in dollars x 1,000,000.

Description: This table contains 768 series, with data for years 2012 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (16 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...) Principal statistics (16 items: Total revenue; Revenue from logging activities; Total expenses; Total salaries and wages, direct and indirect labour; ...) North American Industry Classification System (NAICS) (3 items: Logging; Logging (except contract); Contract Logging).

Description: Data are presented at the national level, by fuel type (butane, electricity, steam, etc) and by North American Industry Classification System (NAICS). Not all combinations are available.

Description: Data are presented at the national level by fuel type in gigajoules (butane, electricity, steam, etc) and by North American Industry Classification System (NAICS). Not all combinations are available.

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Measurements of the production of asphalt roofing materials, as well as the shipments of these products, across Canada and exports.

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Productivity and wages tend to be higher in cities. This is typically explained by agglomeration economies, which increase the returns associated with urban locations. Competing arguments of specialization and diversity undergird these claims. Empirical research has long sought to confirm the existence of agglomeration economies and to adjudicate between the models of Marshall, Arrow and Romer (MAR) that suggest the benefits of proximity are largely confined to individual industries, and the claims of Jacobs (1969) that such benefits derive from a general increase in the density of economic activity in a particular place and are shared by all occupants of that location. The primary goal of this paper is to identify the main sources of urban increasing returns, after Marshall (1920). A secondary goal is to examine the geographical distance across which externalities flow between businesses in the same industry. We bring to bear on these questions plant-level data organized in the form of a panel across the years 1989 and 1999. The panel data overcome selection bias resulting from unobserved plant-level heterogeneity that is constant over time. Plant-level production functions are estimated across the Canadian manufacturing sector as a whole and for five broad industry groups, each characterized by the nature of their output. Results provide strong support for Marshall's (1920) claims about the importance of buyer-supplier networks, labour market pooling and spillovers. The data show spillovers enhance plant productivity within industries rather than between them and that these spillovers tend to be more spatially extensive than previous studies have found.

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In this paper, we provide an international comparison of the growth in Canadian and U.S. manufacturing industries over the 1961-to-2003 period. We find that average annual growth rates of labour productivity growth were almost identical in the Canadian and U.S. manufacturing sectors during this period. But the sources of labour productivity growth differed in the two countries. Intermediate input deepening was a more important source of labour productivity growth in Canada than in the United States, while investment in capital and multifactor productivity (MFP) growth were more important in the United States than in Canada. After 1996, labour productivity growth in Canada was lower than in the United States. The post-1996 slower labour productivity growth in Canada relative to the United States was due to slower growth in MFP and slower growth in capital intensity. The slower MFP growth in Canada accounted for 60% of Canada - United States labour productivity growth difference, and slower growth in capital intensity accounted for 30%. The slower MFP growth in the Canadian manufacturing sector relative to that of the United States after 1996 was due to lower MFP growth in the computer and electronic products industry. The slower growth in capital'labour ratio in the Canadian manufacturing compared with the United States after 1996 is related to the changes in relative prices of capital and labour inputs in the two countries.

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This paper summarizes the results of several research studies conducted by the Micro-economic Analysis Division of Statistics Canada that investigate the impact of advanced technology use on business performance. These studies combine establishment-level survey data on advanced technology practices with longitudinal data that measure changes in relative performance. Together, these studies provide strong evidence that technology strategies have considerable bearing on competitive outcomes after other correlates of plant performance are taken into account. Advanced communications technologies warrant special emphasis, as the use of these technologies has been shown to be closely associated with changes in relative productivity.

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Exports to China in 2007 have risen faster than imports, reflecting its voracious appetite for resources. This has helped reduce Canada's dependence on US markets.

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The most recent Statistics Canada Survey of Innovation (2005) distinguished five types of innovation. The questions on types of innovation were redesigned in response to the 1997 revision of the Oslo Manual, which incorporated new insights on innovation in the service industries, and broadened the concept of process innovation to include not only production processes but also methods of product delivery. This article examines the five different types of innovation in Canadian manufacturing establishments and industry groups.

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This article summarizes the findings of an econometric study using data from the 2005 Canadian Survey of Innovation. The study looked at the decision of firms in the Canadian manufacturing sector to co-operate on innovation projects. The analysis reveals that the factors influencing the decision to co-operate in order to access external knowledge are very similar to those influencing cost-sharing motives. It also finds that public funding leads firms to co-operate in order to access external knowledge and research and development (R&D).

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This paper empirically investigates how the Canadian economy has evolved following the rise in commodity prices and appreciation of the Canadian dollar that began in 2003. The adjustment in the manufacturing industry has garnered the greatest attention because it has borne the brunt of job losses. However, the adjustment of the manufacturing industry has not been straightforward. Rather, a complex reallocation has been taking place within manufacturing that has been predominantly due to the integration of emerging nations into the global economy. The increased commodity prices and falling manufactured prices caused by this integration have affected durable and non-durable manufacturing industries differently. Non-durable manufacturers have tended to see their competitiveness eroded and their output has tended to fall. Durable manufacturers, on the other hand, have increased output in response to the resource boom and increased demand in general. The result has been stable manufacturing output overall, accompanied by a re-orientation of manufacturing output away from non-durables and toward durables.

The appreciated dollar and higher commodity prices have also led to a more widespread industrial reallocation in Canada. The higher commodity prices have started a resource boom, particularly in Alberta. The boom has led to rising resource industry employment, while manufacturing employment declined, and to rising service-sector employment. It has contributed to inter-provincial migration, and has greatly increased the purchasing power of Canadian incomes as terms of trade have improved.

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Utilizing a longitudinal micro data file of manufacturing plants (1974 to 1999), this study tests the effect of higher levels of trade on the level of industrial specialization experienced by regional manufacturing economies. Consistent with trade driven by comparative advantage, the analysis demonstrates that higher levels of export intensity (exports as a share of output) across regions are associated with greater industrial specialization. However, the analysis also shows that changes in export intensity are only weakly associated with changes in specialization. This occurs because comparative advantage tends to shift away from industries that account for a large share of regional manufacturing employment and towards industries that initially have lower shares. This ebb and flow of comparative advantage helps to explain why Canadian manufacturing regions have not become more specialized in an environment of increasing integration into the world market.

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Productivity levels and productivity growth rates vary significantly over space. These differences are perhaps most pronounced between countries, but they remain acutely evident within national spaces as economic growth favors some cities and regions and not others. In this paper, we map the spatial variation in productivity levels across Canadian cities and we model the underlying determinants of that variation. We have two main goals. First, to confirm the existence, the nature and the size of agglomeration economies, that is, the gains in efficiency related to the spatial clustering of economic activity. We focus attention on the impacts of buyer-supplier networks, labour market pooling and knowledge spillovers. Second, we identify the geographical extent of knowledge spillovers using information on the location of individual manufacturing plants. Plant-level data developed by the Micro-economic Analysis Division of Statistics Canada underpin the analysis. After controlling for a series of plant and firm characteristics, analysis reveals that the productivity performance of plants is positively influenced by all three of Marshall's mechanisms of agglomeration (Marshall, 1920). The analysis also shows that the effect of knowledge spillovers on productivity is spatially circumscribed, extending, at most, only 10 km beyond individual plants. The reliance of individual businesses on place-based economies varies across the sectors to which the businesses are aggregated. These sectors are defined by the factors that influence the process of competition'access to natural resources, labour costs, scale economies, product differentiation, and the application of scientific knowledge. Neither labour market pooling, buyer-supplier networks nor knowledge spillovers are universally important across all sectors. This paper provides confirmation of the importance of agglomeration, while also providing evidence that external economies are spatially bounded and not universally important across all industries.

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This study examines recent trends in the Canadian softwood lumber industry in Canada up to 2006. Trends in shipments, production, exports, productivity, innovation and financial results are analysed in the context of recent economic and commercial pressures affecting the industry.

Description: The survey collected data on production, sales and stocks at the end of the month for these products.

Description: This survey was designed to collect information on current levels of operation. The results, which provided an early indication of trends in the Canadian economy, were used by Industry Measures and Analysis Division as part of the System of National Accounts.

Description: The survey collected data on blast furnace charges (materials used to produce pig iron) and also the tonnages of pig iron produced and shipped each month. As of 1985, this survey was amalgamated with the Steel Primary Forms, Steel Castings and Pig Iron (Survey ID 2116).

Description: The monthly survey, Steel primary forms, Steel castings and Pig iron, measures quantities of selected steel products that are produced and shipped by Canadian manufacturers.

Description: The purpose of this survey is to collect data on the shipments (including imports) of electric lamps (light bulbs and tubes) by the Electric Lamp Bulb and Parts Manufacturing Industry.

Description: This survey is designed to collect information on current levels of operation. The results, which provide an early indication of trends in the Canadian economy, are used extensively by the Canadian Soft Drink Association, food and beverage manufacturers, aluminium manufacturers, and investment houses.

Description: The purpose of this survey is to collect data on the production (number of pairs) of footwear. Data are provided for types of footwear by materials used for uppers and soles.

Description: This survey was a cost-recoverable survey funded by the Canadian Oil Seed Processors Association designed to collect information on current levels of operation. The results, which provide an early indication of trends in the Canadian economy, were used extensively by the association, as well as by food companies and the Canadian Wheat Board.

Description: The main purpose of the survey was to chart the progress (or decline) of the hardboard industry.

Description: This survey was designed to collect information on current levels of operation. The results were used by the System of National Accounts at Statistics Canada to provide an early indication of trends in the Canadian economy, and were used by the Rigid Insulating Board Industry for production and trend analysis.