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

View at publisher
Authors: Yiyao He, Jingyi Jiang, Haiwei Jiang
Cited by: 0
References: 17

Abstract

This paper studies the optimal data patent breadth to maximize social welfare in a semi-endogenous growth general equilibrium model. We find that, first, in the decentralized equilibrium, the economic growth rate and social welfare increase when the data patent breadth decreases under our calibration. Second, it is better to allocate data property rights to firms than to households. Third, the government can adjust the decentralized equilibrium to Pareto optimality by subsidizing data purchase and the wage of R&D labour.

Fields of Study & Subjects

Intellectual Property and Patents Economic Growth and Productivity Economic theories and models

Publication details

Journal / source
Applied Economics Letters
Pages
1–5
Publication date
18 January 2026
Language
EN