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  • Articles and reports: 11F0019M1998120
    Geography: Canada
    Description:

    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.

    Release date: 1998-12-08

  • Stats in brief: 88-001-X19980087984
    Description:

    This release provides data on the Research and development activities of the private nonprofit sector.

    Release date: 1998-11-30

  • Articles and reports: 63F0002X1995004
    Description:

    This study uses the results of the 1991 Survey of Research and Development in Canadian Industry to examine exchanges of funds between Canadian firms for R & D purposes. Through such exchanges of funds, Canadian companies form alliances that collectively constitute a network that fosters exchanges of knowledge. These networks are widely dispersed, covering the great majority of industrial activities.

    Four case studies are presented. They reveal that different industries pursue different alliance strategies. R & D alliances in the information technology, business services, oil, and pulp and paper sectors are examined. The alliance strategies are diverse, encompassing vertical integration of large related firms, a collection of small companies providing services to all sectors, and industry-specific networks in which firms have their R & D performed by research institutes. Understanding R & D alliances helps shed some light on the intricacy of the national innovation system concept.

    Release date: 1998-11-20

  • Articles and reports: 63F0002X1996008
    Description:

    Human resources in science and technology are deemed to be important to Canada's economic growth because of the key role they play in the development and use of new technologies. To gain a better understanding of this group and its relation to industry, this paper examines its demographic structure, occupation and education profile as well as its working conditions. The analysis is based on data from the 1991 census of population. It reveals a picture of a well-educated, well-paid, middle-aged (25-44 years) professionals and managers who work full-time all year. The majority are male and have an educational specialization related to their scientific occupation. However, the correspondence between scientific education and occupation is not perfect. There are some who have a certain educational background but who work elsewhere, and there are some who work in scientific occupations without the typical educational profile. The distribution across occupations appears to be changing, with the younger generation moving towards mathematics and systems occupations and away from engineering and the natural and applied sciences. The profile of women differs from that of men in terms of their greater concentration in mathematics and systems occupations. Women in the oldest group have more varied specializations than men.

    Release date: 1998-11-20

  • Articles and reports: 63F0002X1997012
    Description:

    Canada has a service economy and research and development (R&D) in Canada is mainly a service sector activity. This paper examines the sectoral distribution of expenditure on R&D performance, with emphasis on the business sector in Canada and with international comparisons. The principal observation is the key role played by service industry firms in the performing and commissioning of R&D.

    Release date: 1998-11-20

  • Articles and reports: 88F0006X1998012
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-11-09

  • Articles and reports: 88F0006X1998011
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-11-02

  • Articles and reports: 88F0006X1998010
    Description:

    Knowledge flows in Canada as measured by bibliometrics, by Benoît Godin, Yves Gingras and Louis Davignon, uses the database developed, with Statistics Canada support, by the Observatoire des Sciences et des Technologies. It develops statistical indicators of Canadian production and knowledge flow in the natural sciences and engineering.

    Release date: 1998-10-31

  • Articles and reports: 88F0006X1997010
    Description:

    Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.

    Release date: 1998-10-30

  • Articles and reports: 88F0006X1998005
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-10-30
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Analysis (34) (0 to 10 of 34 results)

  • Articles and reports: 11F0019M1998120
    Geography: Canada
    Description:

    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.

    Release date: 1998-12-08

  • Stats in brief: 88-001-X19980087984
    Description:

    This release provides data on the Research and development activities of the private nonprofit sector.

    Release date: 1998-11-30

  • Articles and reports: 63F0002X1995004
    Description:

    This study uses the results of the 1991 Survey of Research and Development in Canadian Industry to examine exchanges of funds between Canadian firms for R & D purposes. Through such exchanges of funds, Canadian companies form alliances that collectively constitute a network that fosters exchanges of knowledge. These networks are widely dispersed, covering the great majority of industrial activities.

    Four case studies are presented. They reveal that different industries pursue different alliance strategies. R & D alliances in the information technology, business services, oil, and pulp and paper sectors are examined. The alliance strategies are diverse, encompassing vertical integration of large related firms, a collection of small companies providing services to all sectors, and industry-specific networks in which firms have their R & D performed by research institutes. Understanding R & D alliances helps shed some light on the intricacy of the national innovation system concept.

    Release date: 1998-11-20

  • Articles and reports: 63F0002X1996008
    Description:

    Human resources in science and technology are deemed to be important to Canada's economic growth because of the key role they play in the development and use of new technologies. To gain a better understanding of this group and its relation to industry, this paper examines its demographic structure, occupation and education profile as well as its working conditions. The analysis is based on data from the 1991 census of population. It reveals a picture of a well-educated, well-paid, middle-aged (25-44 years) professionals and managers who work full-time all year. The majority are male and have an educational specialization related to their scientific occupation. However, the correspondence between scientific education and occupation is not perfect. There are some who have a certain educational background but who work elsewhere, and there are some who work in scientific occupations without the typical educational profile. The distribution across occupations appears to be changing, with the younger generation moving towards mathematics and systems occupations and away from engineering and the natural and applied sciences. The profile of women differs from that of men in terms of their greater concentration in mathematics and systems occupations. Women in the oldest group have more varied specializations than men.

    Release date: 1998-11-20

  • Articles and reports: 63F0002X1997012
    Description:

    Canada has a service economy and research and development (R&D) in Canada is mainly a service sector activity. This paper examines the sectoral distribution of expenditure on R&D performance, with emphasis on the business sector in Canada and with international comparisons. The principal observation is the key role played by service industry firms in the performing and commissioning of R&D.

    Release date: 1998-11-20

  • Articles and reports: 88F0006X1998012
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-11-09

  • Articles and reports: 88F0006X1998011
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-11-02

  • Articles and reports: 88F0006X1998010
    Description:

    Knowledge flows in Canada as measured by bibliometrics, by Benoît Godin, Yves Gingras and Louis Davignon, uses the database developed, with Statistics Canada support, by the Observatoire des Sciences et des Technologies. It develops statistical indicators of Canadian production and knowledge flow in the natural sciences and engineering.

    Release date: 1998-10-31

  • Articles and reports: 88F0006X1997010
    Description:

    Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.

    Release date: 1998-10-30

  • Articles and reports: 88F0006X1998005
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 1998-10-30
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 88F0006X1997001
    Description:

    Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.

    Release date: 1998-09-25
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