颠覆性技术的扩散

N. Bloom, T. Hassan, Aakash Kalyani, J. Lerner, Ahmed Tahoun
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引用次数: 24

摘要

我们通过对专利、招聘公告和收益电话的文本分析来识别新技术。我们的方法使我们能够识别和记录29种颠覆性技术在美国公司和劳动力市场的扩散。我们的数据显示了五个格式化的事实。首先,技术开发的地点在地理上高度集中,甚至比整体专利更为集中。其次,随着技术的成熟和与之相关的新工作的增加,它们逐渐遍布整个空间。虽然最初的招聘主要集中在高技能岗位,但随着时间的推移,与技术相关的新岗位的平均技能水平会下降,从而扩大了采用特定技术的工作类型。与此同时,低技能职位的地理扩散速度明显快于高技能职位,因此,最初发现矿藏的地区在高收入职位中保持领先地位长达数十年。最后,这些技术中心更有可能出现在拥有大学和高技能劳动力的地区。国家经济研究局工作论文系列的机构订阅者和发展中国家的居民可以在www.nber.org免费下载本文。
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The Diffusion of Disruptive Technologies
We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from our data. First, the locations where technologies are developed that later disrupt businesses are geographically highly concentrated, even more so than overall patenting. Second, as the technologies mature and the number of new jobs related to them grows, they gradually spread across space. While initial hiring is concentrated in high-skilled jobs, over time the mean skill level in new positions associated with the technologies declines, broadening the types of jobs that adopt a given technology. At the same time, the geographic diffusion of low-skilled positions is significantly faster than higher-skilled ones, so that the locations where initial discoveries were made retain their leading positions among high-paying positions for decades. Finally, these technology hubs are more likely to arise in areas with universities and high skilled labor pools. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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