912 resultados para high-technology industries


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Des données de Statistique Canada montrent que le Québec a perdu 86 700 emplois manufacturiers nets entre 2004 et 2008, ce qui représente un recul de 13,8% (Bernard, 2009). Un dollar canadien fort, la concurrence internationale, les délocalisations de la production et les consolidations globales d'opérations sont souvent mentionnés comme étant les causes des difficultés du secteur manufacturier canadien - principalement concentré au Québec et en Ontario. La crise financière amorcée à l’été 2007, a contribué à aggraver la crise propre au secteur manufacturier dont les origines remontent au début des années 2000 (Weir, 2007; AgirE, 2008; Pilat et al., 2006). Cette recherche examine le processus de restructuration du secteur manufacturier québécois de manière détaillée au niveau des établissements afin d’en évaluer l’ampleur et la nature entre 2003 et 2008. Les données colligées permettent de poser un regard unique et original sur les restructurations ayant impliqué des licenciements collectifs au Québec. Ces données sont issues de deux sources. D'abord, nous avons utilisé une liste d‘entreprises qui ont envoyé un avis de licenciement collectif au Ministère de l’Emploi et de la Solidarité sociale du Québec entre 2003 et 2008. En second lieu, nous avons eu recours aux archives en ligne des médias pour trouver d’autres évènements de restructuration non rapportés par le ministère ainsi que pour obtenir des informations complémentaires sur les évènements déjà compilés dans la liste du ministère. Notre méthodologie de recherche et notre typologie analytique des types de restructuration sont basées sur celles développées par l’European Monitoring Center on Change (EMCC) et reprises dans certaines études comme celles de Bronfenbrenner et Luce (2004) et Hickey et Schenk (soumis). Les résultats, présentés en termes d’événements de restructuration et d’emplois perdus, sont ventilés en fonction de quelques variables (année d’occurrence, taille de l’établissement, sous-secteur d’activité, intensité technologique, région administrative, types de restructuration). Les raisons données par l’entreprise afin de justifier la restructuration ont aussi été colligées. Au cours de la période étudiée, nous avons identifié au total 1 631 évènements de restructurations dans le secteur manufacturier à travers toutes les régions du Québec, qui ont entraîné la perte de 129 383 emplois. Ainsi, 78 246 emplois ont été perdus suite à la réduction des activités de l‘établissement et 51 137 emplois l’ont été suite à la fermeture de leur établissement. La forme la plus fréquente de restructuration est la restructuration interne, suivi par la faillite/fermeture. Les types de restructuration qui ont engendré le plus de pertes d’emplois en moyenne par évènement sont dans l’ordre, la délocalisation, la sous-traitance, la consolidation d’activités ainsi que la fusion-acquisition. L’année 2008 fut celle où il y a eu le plus grand nombre de restructurations. Montréal et la Montérégie sont les régions qui ont le plus été touchées par la restructuration, les pertes d’emplois et les fermetures d’établissements. Les industries à faible intensité technologique ont davantage été frappées par la crise manufacturière. C’est le sous-secteur du papier et du bois qui connu le plus grand nombre d’événements de restructurations. Ce sous-secteur a aussi subi les pertes d’emplois les plus importantes, suivi par le sous-secteur du textile et du vêtement. Ces deux industries se partagent plus de la moitié des fermetures d’établissements. L’insuffisance de la demande (22,1%), la concurrence internationale (14,3%), la hausse de la valeur du dollar canadien (11,2%), la réorganisation interne de l’entreprise (11,1%), la rationalisation des coûts visant une augmentation de la profitabilité (10,1%) ainsi que les difficultés financières (9,9%) sont les motifs principaux donnés par les employeurs. Nos résultats montrent qu’il y a eu deux temps dans l’évolution de la restructuration du secteur manufacturier au Québec. Un premier temps au début de la période où des changements structurels profonds ont été observés dans certaines industries (p.ex. le bois-papier et le textile-vêtement) et un second temps, en fin de période caractérisé par des changements davantage liés à la conjoncture en raison de la crise économique dont les effets commençaient à se faire sentir à ce moment (Institut de la statistique du Québec, 2009a).

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La tecnología hoy en día es un factor determinante, tanto para el desarrollo continuo de las personas, como para el mundo en general; por esta razón, se busca el buen manejo y aprovechamiento de un puerto tan importante como lo es Barranquilla para el desarrollo del sector informático y de servicios, estudiando la viabilidad de un “Centro Comercial Empresarial de Alta Tecnología” CCEAT, para así lograr una evolución tanto para el departamento, como para el país.

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Final plant population in maize crop was used as a basis to identify the technology level of a given farmer. Final population of 50,000 plants/hectare was considered as an indication of a high technology level farmer; 35,000 of a medium, and 20,000 of a low technology level farmer. These populations were artificially obtained for the hybrids HT-2X, BR-201, and BR-205 from small, medium and large seeds. The results showed the triple cross hybrid HT-2X to be the most indicated for low technology level regions, due to its lesser sensitivity to variations in seed size and also to its significant outyielding of the other two hybrids. The double cross hybrids BR-201 and BR-205 exhibited much higher sensitivity to variations in seed size so that if they have to be used in a low technology region, the most recommended procedure would be to make use of the largest possible seeds. In conclusion, genotype and seed size seem to be factors capable of compensating for plant population reductions in maize crops. The more prolific hybrids and the largess seeds are more indicated for low technology level regions.

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The purpose of this study was to develop a methodology for evaluating neighborhood impacts using a Geographic Information System (GIS) and to apply the procedures to the companies of the High-Technology Industrial Cluster of São Carlos. To this end, an evaluation was made of the neighborhood impacts on the physical environment, urban components, quality of life, and urban infrastructure using impact matrices, and the impacts were assigned scores according to type, order, magnitude and duration. Fifty one companies were examined based on data provided by the companies themselves and on field surveys. The impacts are represented spatially in proportional symbols maps, based on the spatial distribution of the companies in the urban area of the city of São Carlos and the areas of influence of each company. The application of the proposed methodology served to validate it and indicated that the neighborhood impacts caused by the companies of this study are related to each company's type of activity, its size, and its occupation of the area. © 2008 Journal of Urban and Environmental Engineering (JUEE). All rights reserved.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This dissertation comprises three essays on the topic of industrial organization. The first essay considers how different intellectual property systems can affect the incentives to invest in R&D when innovation is cumulative. I introduce a distinction between plain and sophisticated technological knowledge, which plays a crucial role in determining how different appropriability rules affect the incentives to innovate. I argue that the positive effect of weak intellectual property regimes on the sharing of intermediate technological knowledge vanishes when technological knowledge is sophisticated, as is likely to be the case in many high tech industries. The second essay analyzes a two-sided market for news where advertisers may pay a media outlet to conceal negative information on the quality of their own product (paying positive to avoid negative) and/or to disclose negative information on the quality of their competitors products (paying positive to go negative). It is shown that whether advertisers have negative consequences on the accuracy of media reports or not, ultimately depends on the extent of correlation among advertisers products. The third essay considers the role of social learning in the diffusion of a new technology. A population of agents can choose between two risky technologies: an old one for which they know the expected outcome, and a new one for which they have only a prior. Different environments are confronted. In the benchmark case agents are isolated and can perform costly experiments to infer the quality of the new technology. In the other cases agents are settled in a network and can observe the outcomes of neighbors. We observe that in expectations the quality of the new technology may be overestimated when there is a network spread of information.

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Mayer H. Entrepreneurship in a hub-and-spoke industrial district: firm survey evidence from Seattle's technology industry, Regional Studies. The paper investigates entrepreneurial dynamics in a hub-and-spoke industrial district. Using data on the genealogy of high-technology firms in Seattle, Washington State, the study examines the ways in which entrepreneurial firms relate to their parent firms and the role of agglomeration economies. The results illustrate that entrepreneurship is an important vehicle for the diversification of such a district. When compared, hub-related spinoffs such as those founded by former Microsoft employees do not differ much from other start-ups. The differences between Microsoft spinoffs and start-ups are very limited; both diversify the regional economy by entering new markets when compared with their parents.

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This paper examines how a second-tier high-technology region leveraged corporate assets—mostly from transnational firms—in building a knowledge-based economy. The paper reviews how firm building and entrepreneurship influence the evolution of a peripheral regional economy. Using a case study of Boise, Idaho (the US), the research highlights several important sources of entrepreneurship. Entrepreneurial firm formation is closely linked with a region's ability to grow incubator organizations, particularly innovative firms. These innovative firms provide the training ground for entrepreneurs. Firms, however, differ and the ways in which firm building activities influence regional entrepreneurship depend on firm strategy and organization. Thus, second-tier high-tech regions in the US are taking a different path than their well-known counterparts such as Silicon Valley or Route 128 around Boston.

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Mayer H. Segmentation and segregation patterns of women-owned high-tech firms in four metropolitan regions in the United States, Regional Studies. The number of women starting and owning a business has increased dramatically and female entrepreneurs are entering non-traditional sectors such as high technology, construction and manufacturing. This paper investigates the trends in high-tech entrepreneurship by women in four US metropolitan regions (Silicon Valley, California; Boston, Massachusetts; Washington, DC; and Portland, Oregon). The research examines the sectoral and spatial segmentation patterns of women-owned high-tech firms. Although women are entering non-traditional sectors, the research finds that women entrepreneurs tend to own businesses in female-typed high-tech sectors. In established high-tech regions like Silicon Valley and Boston, male-typed and female-typed women-owned high-tech firms differ significantly in terms of sectoral and spatial segmentation regardless of firm age. While differences between male-typed and female-typed firms are not significant at the regional level for Washington, DC, the analysis shows significant intra-metropolitan differences for the female-typed high-tech firms. The paper concludes that sectoral and spatial segmentation are powerful dynamics that shape business ownership by women in high technology.

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This paper focuses on two regions in the United States that have emerged as high-technology regions in the absence of major research universities. The case of Portland's Silicon Forest is compared to Washington, DC. In both regions, high-technology economies grew because of industrial restructuring processes. The paper argues that in both regions other actors—such as firms and government laboratories—spurred the development of knowledge-based economies and catalysed the engagement of higher education institutions in economic development. The paper confirms and advances the triple helix model of university–government–industry relationships and posits that future studies have to examine degrees of university-region engagement.

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Mode of access: Internet.

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Healthcare services available these days deploy high technology to satisfy both internal and external customers by continuously improving various quality parameters. Quality improvement in healthcare services is a complex and multidimensional task. Although various quality management tools are routinely deployed for identifying quality issues in healthcare delivery, there is absence of an integrated approach, which can identify and analyse issues, provide solutions to resolve those issues and develop a project management framework to implement and evaluate those solutions. This study introduces an integrated and uniform quality management framework for healthcare services. This study uses the Logical Framework Analysis (LFA) to improve the performance of healthcare services. LFA has three major steps - problem identification, solution derivation and formation of a planning matrix for implementation and evaluation. LFA has been applied in a case study environment to three acute healthcare services (Operating Room (OR) utilisation, Accident and Emergency (A&E) and intensive care) in order to demonstrate its effectiveness. Copyright © 2007 Inderscience Enterprises Ltd.

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Recent discussion of the knowledge-based economy draws increasingly attention to the role that the creation and management of knowledge plays in economic development. Development of human capital, the principal mechanism for knowledge creation and management, becomes a central issue for policy-makers and practitioners at the regional, as well as national, level. Facing competition both within and across nations, regional policy-makers view human capital development as a key to strengthening the positions of their economies in the global market. Against this background, the aim of this study is to go some way towards answering the question of whether, and how, investment in education and vocational training at regional level provides these territorial units with comparative advantages. The study reviews literature in economics and economic geography on economic growth (Chapter 2). In growth model literature, human capital has gained increased recognition as a key production factor along with physical capital and labour. Although leaving technical progress as an exogenous factor, neoclassical Solow-Swan models have improved their estimates through the inclusion of human capital. In contrast, endogenous growth models place investment in research at centre stage in accounting for technical progress. As a result, they often focus upon research workers, who embody high-order human capital, as a key variable in their framework. An issue of discussion is how human capital facilitates economic growth: is it the level of its stock or its accumulation that influences the rate of growth? In addition, these economic models are criticised in economic geography literature for their failure to consider spatial aspects of economic development, and particularly for their lack of attention to tacit knowledge and urban environments that facilitate the exchange of such knowledge. Our empirical analysis of European regions (Chapter 3) shows that investment by individuals in human capital formation has distinct patterns. Those regions with a higher level of investment in tertiary education tend to have a larger concentration of information and communication technology (ICT) sectors (including provision of ICT services and manufacture of ICT devices and equipment) and research functions. Not surprisingly, regions with major metropolitan areas where higher education institutions are located show a high enrolment rate for tertiary education, suggesting a possible link to the demand from high-order corporate functions located there. Furthermore, the rate of human capital development (at the level of vocational type of upper secondary education) appears to have significant association with the level of entrepreneurship in emerging industries such as ICT-related services and ICT manufacturing, whereas such association is not found with traditional manufacturing industries. In general, a high level of investment by individuals in tertiary education is found in those regions that accommodate high-tech industries and high-order corporate functions such as research and development (R&D). These functions are supported through the urban infrastructure and public science base, facilitating exchange of tacit knowledge. They also enjoy a low unemployment rate. However, the existing stock of human and physical capital in those regions with a high level of urban infrastructure does not lead to a high rate of economic growth. Our empirical analysis demonstrates that the rate of economic growth is determined by the accumulation of human and physical capital, not by level of their existing stocks. We found no significant effects of scale that would favour those regions with a larger stock of human capital. The primary policy implication of our study is that, in order to facilitate economic growth, education and training need to supply human capital at a faster pace than simply replenishing it as it disappears from the labour market. Given the significant impact of high-order human capital (such as business R&D staff in our case study) as well as the increasingly fast pace of technological change that makes human capital obsolete, a concerted effort needs to be made to facilitate its continuous development.