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Economics in Industries

Hall Steven

ISBN 10: 3838336895 / ISBN 13: 9783838336893
Published by LAP Lambert Academic Publishing
New Condition: New Soft cover
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Paperback. 156 pages. Dimensions: 8.7in. x 5.9in. x 0.4in.This paper develops and estimates a structural model of R and D investment and productivity evolution of manufacturing plants in the Korean electric motor industry from 1991 to 1996. Plant-level decisions for R and D investment, physical capital investment, entry, and exit are developed using a dynamic industry evolution model. Estimates of the structural parameters are used to quantify how a plants productivity is affected by its own R and D and by spillovers from the R and D of its competitors. In contrast to previous R and D studies, which usually investigate a collection of producers from various industries, this paper characterizes how the full set of dynamic decisions by each plant in a single industry interact with its own and its competitors productivity change. This allows the model to provide a detailed set of pathways connecting the plant-level R and D investment, productivity, physical investment, and turnover patterns observed in the data. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783838336893

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Bibliographic Details

Title: Economics in Industries

Publisher: LAP Lambert Academic Publishing

Binding: Paperback

Book Condition:New

Book Type: Paperback

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This paper develops and estimates a structural model of R&D investment and productivity evolution of manufacturing plants in the Korean electric motor industry from 1991 to 1996. Plant-level decisions for R&D investment, physical capital investment, entry, and exit are developed using a dynamic industry evolution model. Estimates of the structural parameters are used to quantify how a plant?s productivity is affected by its own R&D and by spillovers from the R&D of its competitors. In contrast to previous R&D studies, which usually investigate a collection of producers from various industries, this paper characterizes how the full set of dynamic decisions by each plant in a single industry interact with its own and its competitor?s productivity change. This allows the model to provide a detailed set of pathways connecting the plant-level R&D investment, productivity, physical investment, and turnover patterns observed in the data.

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