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Small cities face greater impact from automation
- Source :
- Journal of the Royal Society Interface
- Publication Year :
- 2018
- Publisher :
- The Royal Society, 2018.
-
Abstract
- The city has proved to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a question looms: how will automation affect employment in cities? Here, we provide a comparative picture of the impact of automation across US urban areas. Small cities will undertake greater adjustments, such as worker displacement and job content substitutions. We demonstrate that large cities exhibit increased occupational and skill specialization due to increased abundance of managerial and technical professions. These occupations are not easily automatable, and, thus, reduce the potential impact of automation in large cities. Our results pass several robustness checks including potential errors in the estimation of occupational automation and subsampling of occupations. Our study provides the first empirical law connecting two societal forces: urban agglomeration and automation's impact on employment.
- Subjects :
- Employment
FOS: Computer and information sciences
0301 basic medicine
Labour economics
Urban Population
Urban agglomeration
Population Dynamics
Biomedical Engineering
Biophysics
Face (sociological concept)
Bioengineering
Biochemistry
Biomaterials
Computer Science - Computers and Society
03 medical and health sciences
city science
Computers and Society (cs.CY)
0502 economics and business
Specialization (functional)
Humans
Cities
050207 economics
Robustness (economics)
resilience
Urban Renewal
automation
Estimation
Job content
ComputingMilieux_THECOMPUTINGPROFESSION
business.industry
Economies of agglomeration
05 social sciences
Life Sciences–Physics interface
Robotics
future of work
Automation
United States
030104 developmental biology
Socioeconomic Factors
Business
Research Article
Biotechnology
Subjects
Details
- ISSN :
- 17425662 and 17425689
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Journal of The Royal Society Interface
- Accession number :
- edsair.doi.dedup.....b12b2fbc0751b41b84085e8ca5dbe469
- Full Text :
- https://doi.org/10.1098/rsif.2017.0946