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Industrial Policy Implementation: Empirical Evidence from China’s Shipbuilding Industry

Panle Jia Barwick et al.

The Review of Economic Studies2025https://doi.org/10.1093/restud/rdaf011article
FT50AJG 4*ABDC A*
Weight
0.69

Abstract

Industrial policies are widely used across the world. In practice, designing and implementing these policies is a complicated task. In this paper, we assess the long-term performance of different industrial policy instruments, which include production subsidies, investment subsidies, entry subsidies, and consolidation policies. To do so, we examine a recent industrial policy in China aiming to propel the country’s shipbuilding industry to the largest globally. Using firm-level data from 1998 to 2014 and a dynamic model of firm entry, exit, investment, and production, we find that (i) the policy boosted China’s domestic investment, entry, and international market share dramatically, but delivered low returns and led to fragmentation, idle capacity, as well as depressed world ship prices; (ii) the effectiveness of different policy instruments is mixed: production and investment subsidies can be justified by market share considerations, while entry subsidies are wasteful; (iii) counter-cyclical policies, firm-targeting, and shortening the intervention horizon can substantially reduce distortions. Our results highlight the critical role of firm heterogeneity, business cycles, and firms’ cost structure in policy design. Finally, when exploring potential rationales, we find support for nonclassical considerations, such as reducing freight rates to boost Chinese trade.

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https://doi.org/https://doi.org/10.1093/restud/rdaf011

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@article{panle2025,
  title        = {{Industrial Policy Implementation: Empirical Evidence from China’s Shipbuilding Industry}},
  author       = {Panle Jia Barwick et al.},
  journal      = {The Review of Economic Studies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/restud/rdaf011},
}

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Evidence weight

0.69

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.78 × 0.4 = 0.31
M · momentum1.00 × 0.15 = 0.15
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.