paper-with-me

Papers

The "strength" of patent systems

2025-05-11 · Gaetan de Rassenfosse

Patent systems vary widely in how rigorously they define and enforce inventors' rights. On one hand, formal statutes ("law on the books") set the scope of what can be patented and outline procedural safeguards. On the other hand, actual enforcement ("law in practice") determines whether those rights hold up in practice. To capture these dimensions, researchers have developed simple indices of legal provisions and more nuanced proxies for enforcement effectiveness, along with metrics of how applicant-friendly each office's procedures are. Comparative studies of "twin patents" -- identical inventions filed in multiple jurisdictions -- reveal systematic differences in grant rates and bar heights across major offices. By combining these approaches, we gain a multifaceted view of patent-system strength that balances statutory design, administrative practice, and actual enforcement. This perspective is crucial for understanding how different regimes support innovation and shape global knowledge flows.

📄 PDF Abstract BibTeX arXiv:2505.07121

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Innovation with and without patents

2022-10-08 · Josef Taalbi

A long-standing discussion is to what extent patents can be used to monitor trends in innovation activity. This study quantifies the amount and quality of information about actual innovation contained in the patent syste…

Why do firms patent?

2025-03-14 · Gaetan de Rassenfosse

Firms' decisions to patent innovations involve a complex evaluation of costs, benefits, and strategic considerations. This article explores the economic and practical factors that influence whether companies seek patent …

Bayesian inference of spatial and temporal relations in AI patents for EU countries

2022-01-18 · Krzysztof Rusek, Agnieszka Kleszcz, Albert Cabellos-Aparicio

In the paper, we propose two models of Artificial Intelligence (AI) patents in European Union (EU) countries addressing spatial and temporal behaviour. In particular, the models can quantitatively describe the interactio…

Bayesian Inference

Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity

2022-11-03 · Guangtong Li, L Siddharth, Jianxi Luo

Knowledge proximity refers to the strength of association between any two entities in a structural form that embodies certain aspects of a knowledge base. In this work, we operationalize knowledge proximity within the co…

FormGraph Embedding

Eco-driving Intelligent Systems and Algorithms: A Patent Review

2024-01-15 · Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma

The transportation industry remains a significant contributor to greenhouse gas emissions, highlighting the requirement for intelligent systems to enhance vehicle energy efficiency. The intellectual property rights of de…

energy managementManagement