气候变化领域集成服务门户(CCPortal): Universal resilience patterns in labor markets

CCPortal

DOI	10.1038/s41467-021-22086-3
	Universal resilience patterns in labor markets
	Moro E.; Frank M.R.; Pentland A.; Rutherford A.; Cebrian M.; Rahwan I.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	Cities are the innovation centers of the US economy, but technological disruptions can exclude workers and inhibit a middle class. Therefore, urban policy must promote the jobs and skills that increase worker pay, create employment, and foster economic resilience. In this paper, we model labor market resilience with an ecologically-inspired job network constructed from the similarity of occupations’ skill requirements. This framework reveals that the economic resilience of cities is universally and uniquely determined by the connectivity within a city’s job network. US cities with greater job connectivity experienced lower unemployment during the Great Recession. Further, cities that increase their job connectivity see increasing wage bills, and workers of embedded occupations enjoy higher wages than their peers elsewhere. Finally, we show how job connectivity may clarify the augmenting and deleterious impact of automation in US cities. Policies that promote labor connectivity may grow labor markets and promote economic resilience. © 2021, The Author(s).
语种	英语
scopus关键词	economic conditions; innovation; labor market; unemployment; urban agriculture; urban area; urban policy; article; automation; city; human; job market; skill; unemployment; worker; United States
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/250730
作者单位	Departamento de Matemáticas & GISC, Universidad Carlos III de Madrid, Leganés, Spain; Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States; Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, United States; Sociotechnical Systems Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States; Department of Informatics and Networked Systems, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, United States; Digital Economy Lab, Institute for Human-Centered AI, Stanford University, Stanford, CA, United States; Center for Humans & Machines, Max Planck Institute for Human Development, Berlin, Germany
推荐引用方式 GB/T 7714	Moro E.,Frank M.R.,Pentland A.,et al. Universal resilience patterns in labor markets[J],2021,12(1).
APA	Moro E.,Frank M.R.,Pentland A.,Rutherford A.,Cebrian M.,&Rahwan I..(2021).Universal resilience patterns in labor markets.Nature Communications,12(1).
MLA	Moro E.,et al."Universal resilience patterns in labor markets".Nature Communications 12.1(2021).