论文标题
所有技术的技术改进率估计:使用专利数据和扩展领域描述
Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description
论文作者
论文摘要
在这项工作中,我们试图对技术变革的速度进行全面的粒状描述。更具体地说,我们首次调查了几乎所有可确定技术的年度绩效提高率。我们通过创建美国专利系统内所有专利的对应关系来实现这一目标。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机构。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%。根据确定的专利集合,我们计算了每个域中专利的平均中心性,以估计其改善率,并经过先前的工作测试。估计的改善率从机械皮肤治疗的每年低1.9% - 脱毛和皱纹域,到网络管理 - 客户服务器应用程序域的每年228.8%。我们开发了一个单行描述符,以识别最大的50,最快的20个以及最慢的20个域的技术功能,以及这些域中最慢的20个知识库,覆盖了40%的专利系统。通常,改进的速度并不是专利设置大小的强大功能,最快的改进域主要基于软件。我们提供了一个在线系统,该系统允许自动搜索与研究人员,战略家和政策配方者感兴趣的任何技术相对应的域和改进率。
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.