Innovation, Licensing, and Competition: Evidence From Genetically Engineered Crops

GianCarlo Moschini & Edward Perry

The Journal of Industrial Economics2026https://doi.org/10.1111/joie.70016article
AJG 3ABDC A*
Weight
0.50

Abstract

We provide a novel empirical analysis of the role of technology licensing, between competitors, for genetically engineered (GE) traits in the US seed industry. We extend the standard differentiated‐product Bertrand pricing model to include trait licensing, which permits us to recover marginal costs and (otherwise unobserved) royalty rates. Estimation relies on a large dataset of farm‐level seed purchases. We find that markups over marginal cost are sizeable, and royalties for GE traits contribute a non‐trivial amount to these markups. Licensing GE traits to competitors benefits all seed sellers and, notwithstanding its strategic effect on pricing, also increases total market surplus.

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https://doi.org/https://doi.org/10.1111/joie.70016

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@article{giancarlo2026,
  title        = {{Innovation, Licensing, and Competition: Evidence From Genetically Engineered Crops}},
  author       = {GianCarlo Moschini & Edward Perry},
  journal      = {The Journal of Industrial Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/joie.70016},
}

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Innovation, Licensing, and Competition: Evidence From Genetically Engineered Crops

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.