An endogenous growth model with long waves of growth, underlining the distinction between science and technology, is constructed. Scientific progress accelerates the rate of technological progress, but diminishing returns to technological research decelerates it. This process repeats itself with endogenous clustering of innovations. We show that higher trend (long-run) growth is associated with more frequent waves of economic activity. Moreover, we identify a trade-off between actual and trend growth rates when technological research activities are subsidized. Copyright 2001 by Blackwell Publishers Ltd and The Victoria University of Manchester
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by University of Manchester in its journal Manchester School.
Volume (Year): 69 (2001) Issue (Month): 5 (Special Issue) Pages: 553-73 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
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.)
Patrick Francois & Huw Lloyd-Ellis, 2005.
"I - Q Cycles,"
Working Papers
1040, Queen's University, Department of Economics.
[Downloadable!]
Other versions:
Patrick Francois & Huw Lloyd- Ellis, 2005.
"I - Q Cycles,"
Macroeconomics
0511023, EconWPA.
[Downloadable!]