所有技术的技术改进率估计:专利数据和扩展领域描述的使用

Anuraag Singh, G. Triulzi, C. Magee
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引用次数: 4

摘要

在这项工作中,我们试图提供技术变革步伐的全面细致的说明。更具体地说,我们首次调查了几乎所有可定义技术的估计年度性能改进率。我们通过创建美国专利系统内所有专利与一组技术领域的对应关系来做到这一点。技术领域是使用相同的知识和科学原理实现相同技术功能的专利发明的集合。我们使用先前定义的分类重叠方法(COM)的扩展获得了一组1757个域。这些领域包含整个美国专利系统中所有专利的97.14%。根据已识别的专利集,我们计算了每个领域专利的平均中心性,以估计其改进率,并采用了先前工作中测试过的方法。估计的改善率从机械皮肤治疗-脱毛和皱纹领域的低至每年1.9%到网络管理-客户端-服务器应用领域的高至每年228.8%不等。我们开发了一个单行描述符,用于识别所实现的技术功能和这些领域中最大的50个、最快的20个以及最慢的20个的基础知识库,这些领域覆盖了专利系统的40%以上。总的来说,改进的速度并不是专利集大小的强大函数,而且改进最快的领域主要是基于软件的。我们提供了一个在线系统,可以自动搜索研究人员、战略家和政策制定者感兴趣的任何技术的领域和改进率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technological Improvement Rate Estimates for All Technologies: Use of Patent Data and an Extended Domain Description
In this work, we attempt to provide a comprehensive granular account of the pace of technological change. More specifically, we survey estimated yearly performance improvement rates for nearly all definable technologies for the first time. We do this by creating a correspondence of all patents within the US patent system to a set of technology domains. A technology domain is a body of patented inventions achieving the same technological function using the same knowledge and scientific principles. We obtain a set of 1757 domains using an extension of the previously defined classification overlap method (COM). These domains contain 97.14% of all patents within the entire US patent system. From the identified patent sets, we calculated the average centrality of the patents in each domain to estimate their improvement rates, following a methodology tested in prior work. The estimated improvement rates vary from a low of 1.9% per year for the Mechanical Skin treatment - Hair Removal and wrinkles domain to a high of 228.8% per year for the Network management - client-server applications domain. We developed a one-line descriptor identifying the technological function achieved and the underlying knowledge base for the largest 50, fastest 20 as well as slowest 20 of these domains, which cover more than forty percent of the patent system. In general, the rates of improvement were not a strong function of the patent set size and the fastest improving domains are predominantly software-based. We make available an online system that allows for automated searching for domains and improvement rates corresponding to any technology of interest to researchers, strategists and policy formulators.
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