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- Selected: Manufacturing (642)
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Survey or statistical program
- Survey of Innovation (77)
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- Monthly Renewable Fuel and Hydrogen Survey (MRFHS) (2)
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- Productivity Measures and Related Variables - National and Provincial (Annual) (1)
- Survey of Advanced Technology in the Canadian Food Processing Industry (1)
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Results
All (642)
All (642) (560 to 570 of 642 results)
- Surveys and statistical programs – Documentation: 61F0041M1998003Description:
This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.
After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.
Release date: 1998-04-03 - Articles and reports: 61F0041M1998001Description:
In 1995, Statistics Canada began publishing specialization and coverage ratios for Canadian manufacturing industries. These ratios measure the homogeneity and completeness of those industries. Constructing these ratios requires, output commodity data and a concordance that links commodities and industries. The output commodity data are collected at the establishment level by the Annual Survey of Manufactures (ASM)
Release date: 1998-04-01 - 563. The Importance of Research and Development for Innovation in Small and Large Canadian Manufacturing Firms ArchivedArticles and reports: 11F0019M1997107Geography: CanadaDescription:
The debate over the appropriate function of government policy for research and development (R&D) subsidies brings into focus the different roles that are played by large and small firms in the innovation process. Small firms, it is often claimed, have different tendencies to use R&D facilities than large firms and, therefore, require the development of special programs that are directed at this sector. This paper examines the differences in the innovation profiles of small and large firms, and how R&D intensity and efficacy varies across different size classes. It investigates the contribution that R&D makes to success in the small and medium-sized population and the types of policies that small firms feel are the most appropriate to reduce the impediments to innovation that they face.
The paper finds a number of differences between large and small firms in the tendency to innovate and to use R&D facilities. Small firms can be divided into two groups. The first group consists of firms that resemble large firms in that they perform R&D and generate new products and processes primarily through their own efforts. The second are those who rely upon customers and suppliers for their sources of ideas for innovation. Large firms, by way of contrast, tend to rely more heavily on R&D. While they too rely on networks for ideas, their networks focus more heavily on relationships with other firms that belong to the same firm.
Most of the differences between small and large firms are explained by the fact that firms of different sizes specialize in different parts of the production process. Firms of different sizes serve different niches; they each have their own advantages. Small firms are more flexible but can suffer from cost disadvantages due to scale. They overcome their disadvantages by networking with their customers and by showing the same flexibility in their R&D process that they exhibit elsewhere. They rely less on dedicated R&D facilities and more on the flexible exploitation of R&D as opportunities arise. They also network with customers in order to adopt their suggestions for new innovations.
Release date: 1997-09-17 - 564. Sizing up employment in clothing manufacturing ArchivedArticles and reports: 75-001-X19970012992Geography: CanadaDescription:
Jobs have been declining in the clothing industry since the late 1980s while production has grown. This article examines this trend, profiles those employed in the industry since 1981, and discusses factors most likely to affect future employment trends. National, provincial and
international data are also presented.
Release date: 1997-03-14 - Articles and reports: 11F0019M1994061Geography: CanadaDescription:
This paper investigates structural change at the national and the regional level in five broadly defined sectors of the Canadian economy -- the natural-resource-based, the labour-intensive, the scale-based, the product-differentiated, and the science-based sectors. Three aspects of change are examined. First, changes in the importance of each sector over the last twenty years are traced. Second, the amount of internal change within each sector -- changes in the importance of individual industries in each sector and the nature of job turnover within industries are examined. Finally, the extent to which wage differentials have widened over time is examined.
Release date: 1996-09-26 - Articles and reports: 11F0019M1996092Geography: CanadaDescription:
This study is one of a series that examines how technology adoption affects the skills of workers. Previous papers in the series have approached this issue in differentways with data from a variety of sources. Using data on the strategies and activities of small and medium-sized firms in both manufacturing and services industries,Baldwin and Johnson (1995), Baldwin, Johnson and Pedersen (1996) examine the connection between the different strategies that are pursued by growing firms.Firms that stress technological competencies are found to also place a greater emphasis on skill enhancement and training activities. Using survey data on the type oftechnology used in manufacturing plants and plant managers' perceptions of the skill requirements and training costs associated with the adoption of newtechnologies, Baldwin, Gray and Johnson (1995) find that technology use leads to greater skill requirements, more training, and higher training costs.This paper uses survey data on the incidence of advanced technology adoption and matched panel data on plant characteristics such as wages, capital intensity, andsize to examine the connection between technology use and the wage rates received by workers. Since higher wages are associated with higher skill levels,establishing a connection between technology use and wages reinforces the earlier findings.
Release date: 1996-01-09 - Articles and reports: 11F0019M1995085Geography: CanadaDescription:
This paper investigates the characteristics of Canadian manufacturing plants that are related to the use of advanced technologies. The data used are taken from the 1989 Survey of Manufacturing Technology and are linked to administrative data taken from the Census of Manufacturers. Technology use is defined first as incidence (whether a technology is used) and second as intensity (the number of technologies used). These variables (incidence and intensity) are then related to a number of characteristics that represent the competencies of the plant reporting technology use -- its size, the size of its owning enterprise, the recent growth of the plant, the number of industries in which its owning enterprise operates, its age, and nationality. The results are then compared to several recent U.S. studies.
Release date: 1995-11-30 - Articles and reports: 11F0019M1995086Geography: CanadaDescription:
This study examines the factors influencing a firm's decision to train, using data taken from several recent Statistic Canada surveys that explore advanced technology use by Canadian manufacturing plants. Advanced technology adoption has been both rapid and pervasive, leading to concerns about whether technology use is associated with an increase or a decrease in workers' skills. Based on the data collected through two surveys, this paper examines the relationship between technology use and the skill level of workers. It does so by first reporting on the opinions of managers of Canadian manufacturing establishments, who indicate that technology use leads to skill increases. Second, this paper examines the relationship between a plant's decision to train and certain other characteristics of the plant, including its technology use. Third, it investigates the factors related to the location of training in order to determine whether the training done by plants imparts primarily generic skills or plant-specific skills. Finally, it reports on survey results that show plants that introduced new technologies had to increase their expenditures for training.
Release date: 1995-11-30 - Articles and reports: 11F0019M1995075Geography: CanadaDescription:
This study examines technology use in Canada's manufacturing sector, and how a set of technology-using manufacturing establishments performed relative to non-users. Data originates from a recent Statistics Canada survey, asking manufacturing firms about their use of 22 advanced manufacturing technologies, and panel data taken from the Census of Manufacturers.
Results show that the use of advanced manufacturing technology is widespread, especially in large firms, that multiple-technology use is the norm, and that technologies are generally combined within, as opposed to across, production stages. The technology revolution has been felt more in the area of inspection and communications, and less in fabrication and assembly. In terms of performance, technology-using establishments pay higher wages, enjoy higher labour productivity, and are gaining market share at the expense of non-users.
Release date: 1995-08-30 - 570. Restructuring in the Canadian Manufacturing Sector from 1970 to 1990: Industry and Regional Dimensions of Job Turnover ArchivedArticles and reports: 11F0019M1995078Geography: CanadaDescription:
This paper investigates the dynamics of job reallocation in the manufacturing sector of Canada. It does so by examining the pattern and magnitude of job gain, job loss, and total job turnover due to growth and decline of some firms, and entry and exit of other firms. It also investigates how the effect of cyclical as opposed to structural influences on job turnover have changed over time. Finally, the paper investigates whether the pattern and magnitude of job turnover differ across industries and across regions, and whether the differences are either caused by differences in cyclical sensitivity of job creation and job destruction or in the extent to which restructuring is taking place.
Release date: 1995-06-30
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Data (314)
Data (314) (290 to 300 of 314 results)
- 291. Industrial product price indexes for primary metal products and metal fabricated products industries (1981=100) ArchivedTable: 18-10-0159-01Frequency: MonthlyDescription:
This table contains 269 series, with data for years 1956 - 1990 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodities (269 items: Primary metal products; Iron and steel products; Primary steel products; Ferro-alloys ...).
Release date: 2000-02-18 - Table: 18-10-0163-01Frequency: MonthlyDescription:
This table contains 357 series, with data for years 1956 - 1990 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (6 items: Canada; Quebec; Ontario; Atlantic Region ...), Commodities (278 items: Electronic and communication products; Major household types appliances; Appliances and receivers; household; Refrigerators and freezers ...).
Release date: 2000-02-18 - 293. Principal statistics, estimated value in all manufacturing industries, by Standard Industrial Classification, 1970 (SIC) ArchivedTable: 16-10-0079-01Frequency: MonthlyDescription: This table contains 381 series, with data for years 1949 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Standard Industrial Classification, 1970 (SIC) (23 items: All manufacturing industries; Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; ...); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).Release date: 2000-02-18
- 294. Manufacturing shipments, by province and Standard Industrial Classification, 1970 (SIC) ArchivedTable: 16-10-0080-01Frequency: MonthlyDescription: This table contains 211 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...); Standard Industrial Classification, 1970 (SIC) (22 items: All manufacturing industries; Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; ...).Release date: 2000-02-18
- Table: 16-10-0081-01Frequency: MonthlyDescription: This table contains 112 series, with data for years 1961 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Economic use groups (7 items: Non-durable consumer goods industries; Durable consumer goods industries; Machinery and equipment industries; Construction materials and components industries; ...); Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).Release date: 2000-02-18
- 296. Estimated value of shipments, orders and inventories, by province and Standard Industrial Classification, 1970 (SIC) ArchivedTable: 16-10-0082-01Frequency: MonthlyDescription: This table contains 241 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (12 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Principal statistics (1 item: Total shipments); Standard Industrial Classification, 1970 (SIC) (21 items: Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; Leather industries; ...).Release date: 2000-02-18
- 297. Estimated value of shipments, orders and inventories, by Standard Industrial Classification, 1970 (SIC), Canada ArchivedTable: 16-10-0083-01Frequency: MonthlyDescription: This table contains 1786 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Standard Industrial Classification, 1970 (SIC) (225 items: Food and beverage industries; Meat and poultry products industries; Slaughtering and meat processors; Poultry processors; ...).Release date: 2000-02-18
- 298. Ratios of finished goods and total inventory owned to shipments, by Standard Industrial Classification, 1970 (SIC) ArchivedTable: 16-10-0084-01Frequency: MonthlyDescription: This table contains 40 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (2 items: Ratio of finished goods to shipments; Ratio of total inventory owned to shipments); Standard Industrial Classification, 1970 (SIC) (20 items: Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; Leather industries; ...).Release date: 2000-02-18
- Table: 16-10-0089-01Frequency: MonthlyDescription: This table contains 4 series, with data for years 1949 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (2 items: Ratio of finished products to shipments; Ratio of inventories owned to shipments); Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).Release date: 2000-02-18
- Table: 16-10-0085-01Frequency: MonthlyDescription: This table contains 189 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Principal statistics (9 items: Total shipments; New orders; Unfilled orders; Total inventory held; ...); Standard Industrial Classification, 1970 (23 items: All manufacturing industries; Non-durable goods industries; Food and beverage industries; Tobacco products industry; ...).Release date: 2000-02-18
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Analysis (245)
Analysis (245) (0 to 10 of 245 results)
- Stats in brief: 11-001-X20243203628Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-11-15
- Stats in brief: 11-001-X202429924744Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-10-25
- Stats in brief: 11-001-X20242573309Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-09-13
- Stats in brief: 11-001-X202419138647Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-07-09
- Articles and reports: 11-637-X202200100012Description: 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.Release date: 2024-01-25
- Articles and reports: 11-621-M2022023Description: The purpose of this research paper is to highlight the impact of the many challenges faced over time by the sawmill industry on its development and its role as an economic lever for many Canadian communities.Release date: 2023-02-20
- 7. Trends in manufacturing resulting from the COVID-19 pandemic and supply chain disruptions ArchivedStats in brief: 11-627-M2022050Description:
This infographic looks at the impact the pandemic and supply chain disruptions have had on manufacturing in Canada. Specific data that is collected by the Monthly Survey of Manufacturing is shown on the infographic to help highlight the impacts.
Release date: 2022-08-19 - Articles and reports: 18-001-X2021001Description:
The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.
Release date: 2021-04-29 - Stats in brief: 11-627-M2021044Description: This infographic features sales and inventories for the petroleum and coal products industry, as well as refinery production, while highlighting the impacts related to the COVID-19 pandemic.Release date: 2021-04-27
- Articles and reports: 11-637-X202000100012Description: 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 2020 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.Release date: 2020-10-20
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Reference (74)
Reference (74) (70 to 80 of 74 results)
- Surveys and statistical programs – Documentation: 7517Description: 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
- Surveys and statistical programs – Documentation: 7518Description: This is non-Statistics Canada information.
- Surveys and statistical programs – Documentation: 7519Description: This is non-Statistics Canada information.
- Surveys and statistical programs – Documentation: 7524Description: This is non-Statistics Canada information.
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