|
on Intellectual Property Rights |
|
Issue of 2023‒10‒09
two papers chosen by Giovanni Ramello, Università degli Studi del Piemonte Orientale “Amedeo Avogadro” |
| By: | Valerio Sterzi (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique); Jean Paul Rameshkoumar (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique); Johannes van Der Pol (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | While various studies in the fields of law and economics have analysed the business models of patent aggregators and large non-practicing entities (NPEs) in the US, small NPEs operating in Europe typically escape academic and media attention. Here, to address this imbalance, we specifically identify and characterize the patent portfolios of NPEs registered as dormant companies in the UK and investigate whether they are created for the purpose of acquiring valuable IP assets or launching litigation campaigns. Our econometric analysis – based on more than two hundred NPEs registered as dormant companies in 2019 – supports the second hypothesis. Finally, as an illustrative example of how small NPEs use UK dormant companies to acquire and litigate patents in Europe, we describe the business model of Dragon Green Development Balboa SA, an entity incorporated in the Republic of Panama that controls thirteen UK dormant companies and which is involved in fourteen patent litigation cases in Germany. © 2021 |
| Keywords: | Balboa, Business Models, Dormant Company, Economics, Laws And Legislation, Media Attention, Non-Practicing Entity, Patent Assertion Entity, Patent Litigation, Patent Ownership, Patent Portfolio, Patent Transparency, Patent Trolls, Patents And Inventions, Transparency |
| Date: | 2021–11 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03432871&r=ipr |
| By: | Van-Thien Nguyen; René Carraz |
| Abstract: | This paper proposes a new method for matching patents with academic publications to create patent-paper pairs (PPP). These pairs can identify instances where a research result is both applied in a patent and published in a paper. The study focuses on a sample of top research-intensive universities and laboratories in Japan, utilizing a new dataset that contains patent-to-article citations and a machine learning model as part of the matching process. Expert consultations were conducted to enhance the robustness of the methodology. Focusing on a set of 14 Japanese universities and 3 national research laboratories, using patent (USPTO) and publication data (OpenAlex) between 1998 and 2018, we built a dataset of 3, 177 PPPs out of 7, 766 granted patents and 91, 213 publications. The results demonstrate that this phenomenon is widespread in academia and our data show the diversity of the academic disciplines and technical field involved, highlighting the intricate connections between scientific and technical concepts and communities. On the methodological side, we documented in-depth complementary validation techniques to enhance the precision and reliability of our matching algorithm. Using open-source data, our methodology is adaptable to diverse national contexts and can be readily adopted by other research teams investigating similar topics. |
| Keywords: | Patent Paper Pair; Methodology; Matching algorithm; Academic patent; Japan. |
| Date: | 2023 |
| URL: | http://d.repec.org/n?u=RePEc:ulp:sbbeta:2023-29&r=ipr |