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Optimal Industrial Targeting with Unknown Learning by Doing

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dc.contributor.author Dinopoulos, Elias en_US
dc.contributor.author Lewis, Tracy en_US
dc.contributor.author Sappington, David E. M. en_US
dc.date.accessioned 2010-03-09T15:33:51Z
dc.date.available 2010-03-09T15:33:51Z
dc.date.issued 1995 en_US
dc.identifier.uri http://hdl.handle.net/10161/1956
dc.description.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. Author Keywords: Industrial policy; Learning-by-doing; Protection; Asymmetric information Corresponding author. en_US
dc.format.extent 3509650 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Journal of International Economics en_US
dc.subject Learning by Doing en_US
dc.subject assymetric information en_US
dc.subject industrial policy en_US
dc.subject protection en_US
dc.title Optimal Industrial Targeting with Unknown Learning by Doing en_US
dc.type Journal Article en_US
dc.department Economics

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