arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.09799cs.SIcs.LGecon.GNq-fin.EC
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城市劳动系统中的产业问题

Industrial Topics in Urban Labor System

Northwestern University(西北大学);Indiana University(印第安纳大学);University of Pittsburgh(匹兹堡大学);Massachusetts Institute of Technology(麻省理工学院);Stanford University(斯坦福大学);McGill University(麦吉尔大学)

Jaehyuk Park, Morgan R. Frank, Lijun Sun, Hyejin Youn

摘要:

分类是我们自己理解世界和集体交流的重要组成部分。因此,重要的是要认识到,分类系统不一定是静态的,特别是对经济系统而言,在大多数创新发生和实施的城市地区更是如此。过时的分类系统可能会限制对当前经济的进一步了解,因为事情总是在变化。在这里,我们开发了一个基于职业的美国劳动经济分类系统,称为工业主题,满足适应性和代表性。通过利用美国城市地区的职业分布,我们确定了工业主题-基于其共存模式的职业集群。产业主题是指不同职业系统配置下的机制。考虑到密集连接的职业作为一个工业主题,我们的方法特征区域经济的主题组成。与现有的基于调查的自上而下的方法不同,我们的方法提供了有关区域经济基本结构的及时信息,这对政策制定者和商界领袖至关重要,特别是在我们快速变化的经济中。

英文摘要:

Categorization is an essential component for us to understand the world for ourselves and to communicate it collectively. It is therefore important to recognize that classification system are not necessarily static, especially for economic systems, and even more so in urban areas where most innovation takes place and is implemented. Out-of-date classification systems would potentially limit further understanding of the current economy because things constantly change. Here, we develop an occupation-based classification system for the US labor economy, called industrial topics, that satisfy adaptability and representability. By leveraging the distributions of occupations across the US urban areas, we identify industrial topics - clusters of occupations based on their co-existence pattern. Industrial topics indicate the mechanisms under the systematic allocation of different occupations. Considering the densely connected occupations as an industrial topic, our approach characterizes regional economies by their topical composition. Unlike the existing survey-based top-down approach, our method provides timely information about the underlying structure of the regional economy, which is critical for policymakers and business leaders, especially in our fast-changing economy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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