Abstract
A key question regarding the COVID-19 pandemic and the uncertainty around the implications of social distancing measures and remote working is how it will economically impact people and places differently. We generate two indices which capture: (i) social distancing potential; and (ii) remote working potential. This is accomplished using occupational level data from O*NET. The paper identifies that social distancing and remote working potential differs considerably across occupations, sectors and places. At a town level—more affluent, dense and highly populated, better educated, and better broadband provisioned towns have greater potential for social distancing and remote working.
| Original language | English |
|---|---|
| Pages (from-to) | 1211-1234 |
| Number of pages | 24 |
| Journal | Regional Science Policy and Practice |
| Volume | 12 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2020 |
Keywords
- COVID-19
- occupations
- regions
- remote working index
- social distancing index