Optimal industrial targeting with unknown learning-by-doing
Abstract
We examine a government's optimal targeting policy when it has limited information
about the learning curves of domestic producers. Popular arguments suggest that in
order to promote learning-by-doing, the government might want to protect domestic
producers from foreign competition by temporarily closing the domestic market to foreign
producers. We identify a set of conditions under which such trade intervention is
not optimal. Instead, domestic welfare is better fostered either by no government
intervention, or by providing subsidies to the most capable domestic producers who
are willing to set a particularly low domestic price for their product. © 1995.
Type
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https://hdl.handle.net/10161/1956Collections
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Tracy R. Lewis
Walter M. Upchurch, Jr. Distinguished Professor of Business Administration
Tracy Lewis is a Professor Emeritus of Business Administration at the Fuqua School
of Business at Duke University, where he held the Black Chair in Economics. Professor
Lewis founded the Innovation Center at the University. Prior to joining the Duke University
Faculty in 2003, he served on the faculties at the University of Florida, at the California
Institute of Technology, the University of British Columbia, and the University of
California, Davis. Aside from academic employment, he has also h
This author no longer has a Scholars@Duke profile, so the information shown here reflects
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