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  • Articles and reports: 15-206-X2009024
    Description:

    This paper uses plant-level data on productivity growth and changes in market share over different periods during the 1970s, 1980s, and 1990s to investigate whether plants with declining market shares obtain productivity spillovers from more successful producers and whether the impact of spillovers is affected by the distance between plants. We are primarily interested in the extent to which productivity externalities moderate the centrifugal forces that separate growing plants from declining rivals because of the productivity advantages enjoyed by the former.

    The paper focuses on the productivity performance of plants with declining market shares as potential receivers of productivity spillovers. Two possible sources for these spillovers are examined rival plants operating at the technological frontier and rivals that are actively gaining market share. The analysis advances a model of the externality process in which the productivity of declining plants is influenced by (1) the economic distance of the declining plant from its technological frontier at the beginning of any period, (2) contemporaneous productivity gains in rival plants that are actively wresting market share away from decliners, and (3) the distance between rival plants.

    We evaluate the existence and magnitude of these sources of spillovers frontier plants and market-share gainers because of what they reveal about the types of productive information that struggling plants may be able to assimilate from rivals. Spillovers from the plants at the existing frontier are likely to reflect the established best practices of industry leaders; spillovers coming from market-share gainers involve new sources of productive knowledge that emerge as the frontier is actively being re-established. Our model also incorporates geographic information on the proximity of declining plants to both frontier plants and market-share gainers to test whether productivity spillovers are spatially circumscribed. The results provide evidence that productivity improvements in more successful plants benefit their struggling rivals and that these benefits are inversely related to distance; however, the magnitude of spillovers from growing plants to decliners is relatively small. Spillovers do not offer much of a safety net for producers that are losing the productivity race. The paper also shows that declining plants that start out behind the technological frontier are likely to fall further behind, after the impact of mean reversion is taken into account.

    Release date: 2009-05-19

  • Articles and reports: 11-622-M2007016
    Geography: Canada
    Description:

    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.

    Release date: 2007-12-05

  • 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
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • Articles and reports: 15-206-X2009024
    Description:

    This paper uses plant-level data on productivity growth and changes in market share over different periods during the 1970s, 1980s, and 1990s to investigate whether plants with declining market shares obtain productivity spillovers from more successful producers and whether the impact of spillovers is affected by the distance between plants. We are primarily interested in the extent to which productivity externalities moderate the centrifugal forces that separate growing plants from declining rivals because of the productivity advantages enjoyed by the former.

    The paper focuses on the productivity performance of plants with declining market shares as potential receivers of productivity spillovers. Two possible sources for these spillovers are examined rival plants operating at the technological frontier and rivals that are actively gaining market share. The analysis advances a model of the externality process in which the productivity of declining plants is influenced by (1) the economic distance of the declining plant from its technological frontier at the beginning of any period, (2) contemporaneous productivity gains in rival plants that are actively wresting market share away from decliners, and (3) the distance between rival plants.

    We evaluate the existence and magnitude of these sources of spillovers frontier plants and market-share gainers because of what they reveal about the types of productive information that struggling plants may be able to assimilate from rivals. Spillovers from the plants at the existing frontier are likely to reflect the established best practices of industry leaders; spillovers coming from market-share gainers involve new sources of productive knowledge that emerge as the frontier is actively being re-established. Our model also incorporates geographic information on the proximity of declining plants to both frontier plants and market-share gainers to test whether productivity spillovers are spatially circumscribed. The results provide evidence that productivity improvements in more successful plants benefit their struggling rivals and that these benefits are inversely related to distance; however, the magnitude of spillovers from growing plants to decliners is relatively small. Spillovers do not offer much of a safety net for producers that are losing the productivity race. The paper also shows that declining plants that start out behind the technological frontier are likely to fall further behind, after the impact of mean reversion is taken into account.

    Release date: 2009-05-19

  • Articles and reports: 11-622-M2007016
    Geography: Canada
    Description:

    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.

    Release date: 2007-12-05

  • 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
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