This thesis investigates factors that explain for the variation in automation vulnerability of American metropolitan statistical areas. The rapid pace of technological innovation, exemplified by the pursuit of automated vehicles in recent years, is creating growing unease in their power to replace human employment. In certain respects, machines are much more productive and overall better workers than human beings. Decreasing cost in computer capital is also making automation investment more affordable than ever before. However, this is only part of the story. The study attempts to quantify and visualize the variation in regional technological exposure and determine whether industrial and socioeconomic characteristics can reveal an area’s vulnerability.
| Identifer | oai:union.ndltd.org:CLAREMONT/oai:scholarship.claremont.edu:cmc_theses-3311 |
| Date | 01 January 2019 |
| Creators | Hoang, Bach |
| Publisher | Scholarship @ Claremont |
| Source Sets | Claremont Colleges |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | CMC Senior Theses |
| Rights | 2019 Bach P Hoang, default |
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