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Private Information and Optimal Infant Industry Protection
Working paper   Open access

Private Information and Optimal Infant Industry Protection

Raymond G. Riezman, B. Ravikumar and Yuzhe Zhang
SSRN
07/30/2025
DOI: 10.2139/ssrn.5371394
url
https://doi.org/10.2139/ssrn.5371394View
Open Access

Abstract

We study infant industry protection using a dynamic model in which the industry's cost is initially higher than that of foreign competitors. The industry can stochastically lower its cost via learning by doing. Whether the industry has transitioned to low cost is private information. Using a mechanism-design approach, we solve for the optimal protection policy that induces the industry to reveal its true cost. We show that (i) optimal protection, measured by infant industry output, declines over time and is less than that under public information and (ii) eventual viability of the infant industry is not necessary for optimal protection under private information.

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