OPTIMAL INDUSTRIAL TARGETING WITH UNKNOWN LEARNING-BY-DOING
成果类型:
Article
署名作者:
DINOPOULOS, E; LEWIS, TR; SAPPINGTON, DEM
刊物名称:
JOURNAL OF INTERNATIONAL ECONOMICS
ISSN/ISSBN:
0022-1996
DOI:
10.1016/0022-1996(94)01349-W
发表日期:
1995
页码:
275-295
关键词:
industrial policy
learning-by-doing
PROTECTION
asymmetric information
摘要:
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.