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The optimal data patent protection in a semi-endogenous growth model with R&D

Yiyao He et al.

Applied Economics Letters2026https://doi.org/10.1080/13504851.2026.2616444article
AJG 1ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1080/13504851.2026.2616444

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@article{yiyao2026,
  title        = {{The optimal data patent protection in a semi-endogenous growth model with R&D}},
  author       = {Yiyao He et al.},
  journal      = {Applied Economics Letters},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/13504851.2026.2616444},
}

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The optimal data patent protection in a semi-endogenous growth model with R&D

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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

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