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General Purpose Technologies and Economic Growth Hardcover – October 27, 1998

ISBN-13: 978-0262082631 ISBN-10: 0262082632

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Product Details

  • Hardcover: 329 pages
  • Publisher: The MIT Press (October 27, 1998)
  • Language: English
  • ISBN-10: 0262082632
  • ISBN-13: 978-0262082631
  • Product Dimensions: 9 x 6.2 x 1.1 inches
  • Shipping Weight: 1.5 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,533,391 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

Elhanan Helpman is Professor of Economics at Harvard University, the Archie Sherman Chair Professor of International Economic Relations in the Eitan Berglas School of Economics at Tel-Aviv University, and a Fellow at the Canadian Institute for Advanced Research.

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Most Helpful Customer Reviews

14 of 15 people found the following review helpful By A Customer on March 16, 1999
Format: Hardcover
Academic attention to the relationship between economic growth and drastic innovations is relatively new. Elhanan Helpman's book considers a certain type of drastic innovations, termed General Purpose Technologies (GPTs). As the term already makes clear an innovation qualifies as a GPT when it is on the one hand general in its purpose and on the other hand when it is characterized by innovational complementarities. This approach has resulted in an integrated collection of original contributions providing major insight in the importance of GPTs by approaching the problem at stake from both a theoretical and empirical point of view. In addition, this composition of high-quality papers may be the foundation of and may induce future research in this new area of economic growth theory. After a short introduction, Richard Lipsey, Cliff Bekar and Kennth Carlaw first consider the theoretical literature, in some way complementary to GPTs, to obtain a comprehensive working definition. By focussing on both appreciative and formal theories they characterize the set of technological advances that is induced by the introduction of a new GPT. In their analysis they introduce the model of Helpman and Manuel Trajtenberg (chapters 3 and 4) which tracks the effects of a new GPT on macroeconomic aggregates and considers the process of a new GPT diffusion. This model analyses long-run dynamics in the form of repetitive cycles, that result from the arrival of new GPTs. The main finding of the approach is a view of the growth process in which the notion of increasing returns underlying new growth theory can be explained by the fostering complementary advances induced by new GPTs.Read more ›
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