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Abstract Bloom et al. (2016) find that Chinese import competition induced a rise in patenting, IT adoption, and total factor productivity (TFP) by up to 30% of the total increase in Europe in the late 1990s and early 2000s. We uncover several coding errors in an important robustness check of their patent results. When corrected, we find no statistically significant relationship between Chinese competition and patents. Other specifications in the original paper use a problematic $ \log(1+\rm patents) $ transformation. This normalization induces bias given low average patent counts for firms in China-competing sectors and rapidly declining patents across the sample.
China, f13 - "Trade Policy; International Trade Organizations", Textiles, l25 - Firm Performance: Size, patents, Trade Shocks, and Scope, Empirical Studies of Trade, Trade Policy; International Trade Organizations, Europe, l60 - Industry Studies: Manufacturing: General, Manufacturing, Diversification, f14 - Empirical Studies of Trade, Industry Studies: Manufacturing: General, Trade Induced Technical Change, China Trade Shock, Textiles, Firm Performance: Size, Trade shocks, Patents
China, f13 - "Trade Policy; International Trade Organizations", Textiles, l25 - Firm Performance: Size, patents, Trade Shocks, and Scope, Empirical Studies of Trade, Trade Policy; International Trade Organizations, Europe, l60 - Industry Studies: Manufacturing: General, Manufacturing, Diversification, f14 - Empirical Studies of Trade, Industry Studies: Manufacturing: General, Trade Induced Technical Change, China Trade Shock, Textiles, Firm Performance: Size, Trade shocks, Patents
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 30 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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