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Direction and intensity of technical change: a micro-founded growth model Author info | Abstract | Publisher info | Download info | Related research | Statistics zamparelli, luca
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This paper develops a growth model combining elements of endogenous growth and induced innovation literatures. In a standard induced innovation model firms select at no cost innovations from an innovation possibilities frontier describing the trade-off between increasing capital or labor productivity. The model proposed allows firms to choose not only the direction but also the size of innovation by representing the innovation possibilities through a cost function of capital and labor augmenting innovations. By so doing, it provides a micro-foundation both of the intensity and of the direction of technical change. The policy analysis implies that an increase in subsidies to R&D as opposed to capital accumulation raises per capita steady state growth, employment rate and wage share.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
10843.
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Date of creation: Feb 2008Date of revision:
Handle: RePEc:pra:mprapa:10843Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany Phone: +49-(0)89-2180-2219 Fax: +49-(0)89-2180-3900 Web page: http://mpra.ub.uni-muenchen.de More information through EDIRC
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Keywords: Induced innovation ; endogenous growth ; direction of technical change ; Find related papers by JEL classification: O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
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Other versions:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Tavani, Daniele, 2008.
"Optimal Induced Innovation and Growth with Congestion of a Limited Natural Resource ,"
MPRA Paper
11525, University Library of Munich, Germany.
[Downloadable!]
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