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基于专利数据的技术改进定量测定。

Quantitative determination of technological improvement from patent data.

作者信息

Benson Christopher L, Magee Christopher L

机构信息

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

出版信息

PLoS One. 2015 Apr 15;10(4):e0121635. doi: 10.1371/journal.pone.0121635. eCollection 2015.

Abstract

The results in this paper establish that information contained in patents in a technological domain is strongly correlated with the rate of technological progress in that domain. The importance of patents in a domain, the recency of patents in a domain and the immediacy of patents in a domain are all strongly correlated with increases in the rate of performance improvement in the domain of interest. A patent metric that combines both importance and immediacy is not only highly correlated (r = 0.76, p = 2.6*10(-6)) with the performance improvement rate but the correlation is also very robust to domain selection and appears to have good predictive power for more than ten years into the future. Linear regressions with all three causal concepts indicate realistic value in practical use to estimate the important performance improvement rate of a technological domain.

摘要

本文的研究结果表明,某技术领域专利中包含的信息与该领域的技术进步速度密切相关。某领域专利的重要性、该领域专利的时效性以及该领域专利的即时性均与目标领域性能提升速度的提高密切相关。一种将重要性和即时性结合起来的专利指标不仅与性能提升率高度相关(r = 0.76,p = 2.6×10⁻⁶),而且这种相关性对领域选择具有很强的稳健性,并对未来十多年似乎具有良好的预测能力。对所有三个因果概念进行线性回归表明,在实际应用中,利用其来估计某技术领域重要的性能提升率具有实际价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b5c/4398537/66d71b49c5d5/pone.0121635.g001.jpg

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