nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2025–10–27
four papers chosen by
Giovanni Battista Ramello, Università di Turino


  1. Performance of women-owned businesses that patent By Chahreddine Abbes; Amélie Lafrance-Cooke; Danny Leung
  2. AI news shocks and the macroeconomy: evidence from UK patent data By Anastasios Evgenidis; Apostolos Fasianos
  3. Migration and Local Innovation: Evidence from Fine-Grained Data from OECD Countries By Gabriel Chaves Bosch; Cem Özgüzel
  4. Beyond the front page: In-text citations to patents as traces of inventor knowledge By Cyril Verluise; Gabriele Cristelli; Kyle Higham; Gaetan de Rassenfosse

  1. By: Chahreddine Abbes; Amélie Lafrance-Cooke; Danny Leung
    Abstract: This study compares the performance of businesses owned by women (majority or equal ownership) that patent with that of majority men-owned businesses and businesses where gender of ownership cannot be assigned. It finds that women-owned firms have higher survival rates, but lower revenue growth rates, after filing for a patent than businesses where gender of ownership cannot be assigned, even after controlling for observable firm characteristics. The differences between women-owned businesses and businesses where gender of ownership cannot be assigned are greater than those between women-owned and majority men-owned businesses. Women-owned businesses have lower revenue growth rates than majority men-owned businesses, but only have higher survival rates in the fifth year after filing for a patent and after controlling for observable firm characteristics. When the possibility of exit through an acquisition is taken into account, differences in survival between women-owned businesses and other businesses disappear. This suggests that women-owned businesses that patent may have different exit strategies than other businesses. The differences in revenue growth suggest that there may be differences in the quality of the invention, or that some previously documented differences in favour of men-owned businesses (i.e., access to financing and knowledge-building opportunities) may affect the type of inventions developed by women-owned businesses and their ability to successfully commercialize them. Overall, the findings support the need for policies that take gender into account.
    Keywords: business performance, ownership, patents, intellectual property
    JEL: J23 M21
    Date: 2024–09–25
    URL: https://d.repec.org/n?u=RePEc:stc:stcp8e:202400900003e
  2. By: Anastasios Evgenidis (Royal Holloway University London); Apostolos Fasianos (Brunel University of London)
    Date: 2025–10–16
    URL: https://d.repec.org/n?u=RePEc:ifs:ifsewp:25/48
  3. By: Gabriel Chaves Bosch (Queen Mary University of London); Cem Özgüzel (Centre d'Economie de la Sorbonne, Paris School of Economics et IZA)
    Abstract: Does the presence of migrants influence innovation at the local level? This paper answers this question using novel data containing fine-grained information on the migrant population and geo-coded data on patent locations for a large set of 19 OECD countries over the 1990-2014 period. We find that a one percentage point increase in the local migrant share increases patent applications by 2.5%. This effect is driven by more urbanised and economically developed localities, where innovation levels are already higher to begin with. However, this impact becomes insignificant when aggregating observations at larger geographical levels, suggesting that the effect of migration on innovation is concentrated in space and features high rates of spatial decay
    Keywords: Migration; Innovation; Patents; OECD countries; local
    JEL: O31 J61 R11
    Date: 2025–10
    URL: https://d.repec.org/n?u=RePEc:mse:cesdoc:25021
  4. By: Cyril Verluise (QuantumBlack); Gabriele Cristelli (London School of Economics); Kyle Higham (Motu Economic and Public Policy Research); Gaetan de Rassenfosse (Ecole polytechnique federale de Lausanne)
    Abstract: This study introduces in-text patent-to-patent citations—references embedded in the body of patent documents—as a novel data source to trace knowledge flows. Unlike front-page citations, which often reflect legal requirements, in-text citations are more likely to originate from inventors and signal meaningful technological linkages. We show that they exhibit stronger geographic and semantic proximity, greater self-referentiality, and closer alignment with inventor knowledge. Though less frequent than front-page citations, they yield robust results in models of knowledge diffusion. We release a validated dataset and reproducible code to support future research. Our findings offer new opportunities for strategy scholars interested in the microfoundations of innovation, the geography of knowledge flows, and the role of inventors in shaping firms’ knowledge trajectories.
    Keywords: citation; patent; knowledge flow; open data; spillover
    JEL: O31 O33 R12 C81 D83
    Date: 2025–10
    URL: https://d.repec.org/n?u=RePEc:iip:wpaper:30

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