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Description: Percentage of enterprises that performed manufacturing, processing, or assembly work according to the specifications provided by non-Canadian clients, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

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Percentage of enterprises that produced or manufactured any of the goods that they sold, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period.

Description: Data on the quantity of energy purchased and the energy expenses are presented at the national level, by energy source (electricity, heavy fuel oil, diesel, natural gas, etc.) and by North American Industry Classification System (NAICS). Not all combinations may be available.

Description: Data on the quantity of energy purchased and the energy expenses are presented at the national level, provincial and regional level, by energy source (electricity, heavy fuel oil, diesel, natural gas, etc.) and by North American Industry Classification System (NAICS). Not all combinations may be 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 product category detail for this account.

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 product category detail by province and territory for this account.

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.

Description: As the twelfth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure sustainable consumption and production patterns by 2030. This 2024 infographic provides an overview of indicators underlying the twelfth Sustainable Development Goal in support of responsible consumption and production, and the statistics and data sources used to monitor and report on this goal in Canada.

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.

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This paper evaluates changes in the destinations of shipments by province and by major manufacturing group. It also discusses information on exports, interprovincial trade and relative trade balance.

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This paper looks at the rationalization of production costs in the Canadian manufacturing sector by examining expenditures on four main inputs (wages, salaries, energy, and raw materials) as they have evolved over time.

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This paper analyses changes to manufacturing establishments of all sizes in terms of four major areas: manufacturing activity gross output, production cost structure, productivity and employment structure.

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This paper examines the packaging products used by manufacturing industries, the evolution of production costs, a comparison of establishment groups (ranked by volume of shipments) and the stages of processing for the Canadian manufacturing sector as a whole.

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This paper examines the Canadian manufacturing sector in terms of the degree of processing of its outputs. It then examines the patterns in manufacturing output by stage of processing over the period 1988 to 1996.

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This study examines differences in technology use in Canada as opposed to the United States as well as reasons for these differences. It examines different aspects of technology use-numbers of technologies used, types of technologies used, as well as regional, size and industry variations in their use. It then investigates differences in benefits that plant managers perceive stem from advanced technology use and differences in the factors that managers assess as impediments. While managers in both countries generally place quite similar emphases on items in the list of benefits received and problems that have impeded adoption, there are significant differences that arise because of the smaller size of the Canadian market.

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This article provides an overview of the packaging products used by Canadian manufacturing industries, and identifies recent trends regarding the types of containers used.

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Considerable attention has been directed at understanding the structural changes that are generating an increased need for skilled workers. These changes are perceived to be the result of developments associated with the emergence of the new knowledge economy, whose potential is often linked to the growth of new technology-based firms (NTBFs). Where are these firms to be found? Related work on changes in technology and innovativeness has been accompanied by the creation of taxonomies that classify industries as high-tech or high-knowledge, based primarily on the characteristics of large firms. There is a temptation to use these taxonomies to identify new technology-based firms only within certain sectors. This paper uses a special survey that collected data on new firms to argue that this would be unwise.

The paper investigates the limitations of existing classification schemes that might be used to classify industries as high- or low-tech, as advanced or otherwise. Characteristically unidimensional in scope, many of these taxonomies employ conceptual and operational measures that are narrow and incomplete. Consequently, previous rankings that identify sectors as high- or low-tech using these measures obscure the degree of innovativeness and human capital formation exhibited by certain industries. In a policy environment wherein emotive 'scoreboard' classifications have direct effects on resource allocation, the social costs of misclassification are potentially significant.

Using a comparative methodology, this study investigates the role that conceptualization plays in devising taxonomies of high- and low-tech industries. Far from producing definitive classifications, existing measures of technological advancement are found to be wanting when their underpinnings are examined closely. Our objective in the current analysis is to examine the limitations of standard classification schemes, particularly when applied to new small firms, and to suggest an alternative framework based on a competency-model of the firm.

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This paper examines the determinants of the adoption lag for advanced technologies in the Canadian manufacturing sector. It uses plant-level data collected on the length of the adoption lag (the time between a firm's first becoming aware of a new technology and its adoption of the technology) to examine the extent to which the adoption lag is a function of the benefits and costs associated with technology adoption as well as certain plant characteristics that are proxies for a plant's receptor capabilities.

Economic theory suggests that the diffusion of advanced technologies should be a function of the benefits associated with the adoption of new technologies. Other studies have had to proxy the benefits with environmental characteristics-like proximity to markets, fertility of soils, size of firm. This paper makes use of more direct evidence collected from the 1993 Survey of Innovation and Advanced Technology concerning firms' own evaluations of the benefits and costs of adoption along with measures of overall technological competency. Both are found to be highly significant determinants of the adoption lag. Geographical nearness of suppliers decreases the adoption lag. Variables that have been previously used to proxy the benefits associated with technology adoption-variables such as larger firm size, younger age, and more diversification by the parent firm also decrease the adoption lag-but they have much less effect than the direct measure of benefits and firm competency.

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The 1980s and 1990s have seen a rising share of skilled labour in total employment in the manufacturing sector of Canada. At the same time, the wage premium for skilled workers has increased, thereby increasing the inequality between skilled and unskilled workers. There is a disagreement about the causes of these changes. Several hypotheses have been offered to explain them-increased international competition, changes in the relative supply of more-skilled versus less-skilled workers, and skilled-augmenting technological change. This paper analyzes the nature, pattern and causes of the shifts in the composition of employment in manufacturing. The paper describes the composition of employment in manufacturing. It focuses on the direction and magnitude of shifts in the proportion of nonproduction workers employed within manufacturing and across sectors within manufacturing. It also investigates the extent to which wage differentials between nonproduction and production workers have widened in the 1980s. In addition, it assesses the extent to which these changes are associated with trade and technology use. The results indicate that the rising wage differentials are associated with both increased trade intensity and the types of technologies that are being used in the plant.

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.