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Technical change efficiency, exports and growth in TurkeySaygili, Seref January 1998 (has links)
No description available.
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The productivity growth of Asian industriesLi, Huagang. January 1996 (has links)
Thesis (Ph. D.)--University of California, Los Angeles, 1996. / Includes bibliographical references (leaves 183-187).
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Economic growth, productivity, and trade an empirical analysis of Korean manufacturing industries /Kim, Euysung. January 1996 (has links)
Thesis (Ph. D.)--Columbia University, 1996. / Includes bibliographical references (leaves 138-143).
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Trade and productivity. An industry perspective.Badinger, Harald, Breuss, Fritz January 2005 (has links) (PDF)
We use a sample of 14 OECD countries and 15 manufacturing industries to test for the effect of trade on productivity. Endogeneity concerns are accounted for using the geographical component of trade as instrument as suggested by Frankel and Romer (1999). Our results are in line with previous studies: Trade increases productivity. What is puzzling, however, is the size of the effect: An increase in the export ratio by one percentage point increases productivity in manufacturing by 0.6 percent on average. This is less than half of the effect obtained in previous studies. We discuss likely explanations for this discrepancy. / Series: EI Working Papers / Europainstitut
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A comparative analysis of productivity growth in Mexican and Korean manufacturing, 1966-1990Estrada-López, José Luis. January 1997 (has links)
Thesis (Ph. D.)--New School for Social Research, 1997. / Includes bibliographical references (leaves 267-282).
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Total factor productivity effects of interregional knowledge spillovers in manufacturing industries across EuropeScherngell, Thomas, Fischer, Manfred M., Reismann, Martin January 2007 (has links) (PDF)
The objective of this study is to identify knowledge spillovers that spread across
regions in Europe and vary in magnitude for different industries. The study uses a panel of
203 NUTS-2 regions covering the 15 pre-2004 EU-member-states to estimate the impact
over the period 1998-2003, and distinguish between five major industries. The study
implements a fixed effects panel data regression model with spatial autocorrelation to
estimate effects using patent applications as a measure of R&D output to capture the
contribution of R&D (direct and spilled-over) to regional productivity at the industry level.
The results suggest that interregional knowledge spillovers and their productivity effects are
to a substantial degree geographically localised and this finding is consistent with the
localisation hypothesis of knowledge spillovers. There is a substantial amount of
heterogeneity across industries with evidence that two industries (electronics, and chemical
industries) produce interregional knowledge spillovers that have positive and highly significant productivity effects. The study, moreover, confirms the importance of spatial
autoregressive disturbance in the fixed effects model for measuring the TFP impact of interregional knowledge spillovers at the industry level. (authors' abstract)
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