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

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Monthly Canadian manufacturer's sales for 15 census metropolitan areas (CMA) for durable and non-durable goods by North American Industry Classification System (NAICS). Data in thousands of dollars. Unadjusted and seasonally adjusted data available from January 2013 to the current reference month. Not all combinations are available.

Description: Monthly capacity utilization rates for Canadian manufacturers by North American Industry Classification System (NAICS), from January 2017 to the current reference month.

Description: Canadian Sales of goods manufactured (shipments), new orders, unfilled orders, inventories, raw materials, goods or work in process, finished goods, and inventory to sales ratios for durable and non-durable goods by North American Industry Classification System (NAICS) for reference periods January 2002 to the current reference month. Not all combinations are available. Values are in constant dollars.

Description:

Monthly Canadian manufacturers' sales, new orders, unfilled orders, raw materials, goods or work in process, finished goods, total inventories, inventory to sales ratios and finished goods to sales ratios for durable and non-durable goods by North American Industry Classification System (NAICS), in dollars unless otherwise noted. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month.

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Monthly manufacturers' sales, inventories, orders and inventory-to-sales ratios, for motor vehicle and motor vehicle parts manufacturing industries, and motor vehicle body and trailer manufacturing industries, in dollars unless otherwise noted.

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Monthly provincial and territorial manufacturing sales, by North American Industry Classification System (NAICS), data in thousands of dollars. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month. Not all combinations are available.

Description: The industrial capacity utilization rate is the ratio of actual output to potential output. Data are published quarterly and cover all goods-producing industries, with the exception of the agriculture industry. The visualization model shows rates, quarterly changes, and year-over-year changes for manufacturing industries.

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

Description: Quarterly data, by North American Industry Classification System (NAICS).

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

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.

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This study reviews status and trends for the manufacturing sector in 2009. It analyses major regional and industry shifts in production and put them in the context of major socio-economic drivers such as domestic demand, prices and exports. Employment, investment, productivity and profitability indicators are also presented.

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Design activities are central to firm competitiveness and delivering value-added products. Research has shown that rapidly growing companies attach greater weight to design activities. Through design, firms may improve the user interface and create characteristics that allow them to distinguish their products from those of their competitors. Using the results of the Survey of Advanced Technology 2007, this paper examines the extent of use of design activities among Canadian firms, with a view to explaining factors fostering firms' engagement in design activities. It explores whether design activities are more likely to be carried out in some manufacturing industries than in others. The average size of firms undertaking design activities will also be explored. Characteristics of firms that are likely to spend a greater proportion of their expenditures on in-house design activities versus those who outsource larger percentage of their design work to other firms outside their organizational boundaries will be discussed. This paper will also explore whether firms that have high design intensity are more likely to be innovators. Another area of interest of this paper is the question of whether firms that undertake design activities are more likely to be exporters. Common success factors reported by those firms with high design intensity will also be discussed.

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We examine the simultaneous effects of real-exchange-rate movements and of tariff reductions on plant death in Canadian manufacturing industries between 1979 and 1996. We find that both currency appreciation and tariff cuts increase the probability of plant death, but that tariff reductions have a much greater effect. Consistent with the implications of recent international-trade models involving heterogeneous firms, we further find that the effect of exchange-rate movements and tariff cuts on exit are heterogeneous across plants - particularly pronounced among least efficient plants. Our results reveal multi-dimensional heterogeneity that current models featuring one-dimensional heterogeneity (efficiency differences among plants) cannot fully explain. There are significant and substantial differences between exporters and non-exporters, and between domestic- and foreign- controlled plants. Exporters and foreign-owned plants have much lower failure rates; however, their survival is more sensitive to changes in tariffs and real exchange rates, whether differences in their efficiency levels are controlled or not.

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This paper asks whether synergies or managerial discipline operates in different ways across small versus large plants to affect the likelihood of mergers. Our findings indicate that those characteristics which provide the type of synergies upon which ownership changes rely are important factors leading to plant-ownership changes across most size classes. The magnitudes, however, are different across plant-size classes, with synergies generally being more important in larger plants.

Foreign plants in all size classes are more likely to be taken over. The effective rates of control change differ much more in the small than in the larger size classes. Compared to domestic plants, multinational plants in the smaller size classes contain relatively more of the type of intangible capital that makes them attractive vehicles for the transmission of new knowledge via takeover.

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Energy use is one of the primary contributors to environmental degradation and climate change. This article provides a profile of the Canadian manufacturing industry and the investments made in energy-related processes and technologies in 2006. These investments either reduced the amount of energy used for a process, or lowered the amount of greenhouse gas emissions and air pollutants produced through the production and use of energy.

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The context of the discussion is the increasing incidence of international surveys, of which one is the International Tobacco Control (ITC) Policy Evaluation Project, which began in 2002. The ITC country surveys are longitudinal, and their aim is to evaluate the effects of policy measures being introduced in various countries under the WHO Framework Convention on Tobacco Control. The challenges of organization, data collection and analysis in international surveys are reviewed and illustrated. Analysis is an increasingly important part of the motivation for large scale cross-cultural surveys. The fundamental challenge for analysis is to discern the real response (or lack of response) to policy change, separating it from the effects of data collection mode, differential non-response, external events, time-in-sample, culture, and language. Two problems relevant to statistical analysis are discussed. The first problem is the question of when and how to analyze pooled data from several countries, in order to strengthen conclusions which might be generally valid. While in some cases this seems to be straightforward, there are differing opinions on the extent to which pooling is possible and reasonable. It is suggested that for formal comparisons, random effects models are of conceptual use. The second problem is to find models of measurement across cultures and data collection modes which will enable calibration of continuous, binary and ordinal responses, and produce comparisons from which extraneous effects have been removed. It is noted that hierarchical models provide a natural way of relaxing requirements of model invariance across groups.

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This paper provides an analysis of technological change within the Canadian economy based on data from the 2006 Survey of Electronic Commerce and Technology where firms indicated how they introduced significantly improved technologies. The paper explores differences in the use of methods of introduction of significantly improved technologies by firm/organization size and by industry in both the private and public sectors.

The paper begins with a brief presentation of previous work carried out on technology introduction. The methodology is described. A description of concepts used in the analysis will follow. Analytic results examining technological change in the private sector overall, by industry and by size, and the public sector overall, by industry and by size are presented. A comparison of technological change in the private and public sectors follows. The paper concludes with a discussion of analytic results and further analytic work that could be undertaken.

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This working paper provides some metrics for the measurement of user innovation. It explains what is meant by user innovation and provides background on its measurement at Statistics Canada, drawing attention to some more influential work. Challenges to the measurement of user innovation are presented. Details on the survey methodology and survey findings, measurement issues and some lessons learned from the survey will be discussed. The paper concludes by presenting contributions of this study to understanding user innovation.

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This working paper highlights a variety of aspects of innovation in the Canadian manufacturing sector, including incidence and types of innovation, novelty of innovation, innovation activities, sources of information contributing to innovation, cooperation with innovation partners, impacts of innovation, obstacles to innovation, use of government programs, intellectual property protection, and suppliers to innovative manufacturing plants.

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Manufacturing's share of nominal GDP has fallen over the last half century due to lower relative prices in Canada, not a declining volume of production. These price declines reflect productivity growth, while also lowered the share of manufacturing in employment. Canada's manufacturing structure shifted to mirror the United States after free trade was introduced in the 1990s.

Description: If you have any questions about these data please contact: Randy Sheldrick Energy Section Manufacturing, Construction and Energy Division Statistics Canada Ottawa, Ontario K1A 0T6 Telephone: (613) 951-4804

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.