 Are There High-tech Industries or Only High-tech Firms? Evidence from New Technology-based FirmsGuy Gellatly and John Baldwin Analytical Studies Branch Research Paper Series from Statistics Canada, Analytical Studies Branch Abstract: 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. This framework differs from previous attempts in several important respects. First, it constitutes a multidimensional approach to industry classification. As different concepts - such as innovation, technology use, and worker skills - can be used to define high- and low-tech industries, we integrate each of these measures into a unified framework that captures the different dimensions of technological prowess. This, in turn, lessens the degree of bias that may arise due to narrow or incomplete conceptualization. Second, our competency-based approach focuses directly on the population of interest - new small firms. Often at the forefront of product development and advanced technology use, it is these firms that are seen as critical in the transition to knowledge-based production. Basing industry classification on new small firms thus alleviates the bias in favour of large firm characteristics that arises with the use of indus Keywords: Adult education and training; Education; training and learning; Information and communications technology; Information and communications technology sector; Innovation; Job training and educational attainment; Labour; Research and development; Science and technology (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:stc:stcp3e:1998120e Access Statistics for this paper More papers in Analytical Studies Branch Research Paper Series from Statistics Canada, Analytical Studies Branch Contact information at EDIRC. |
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