Does a strict COVID-19 lockdown policy change risk attitudes? Evidence from a bordering town, Gengma, in Yunnan Province, China
Abstract Understanding how lockdown, a strict epidemic prevention policy, affects people’s risk attitudes is an interesting and fundamental issue. Behavioural experiments constitute one of the mainstream methods for measuring such microscopic effects. However, since epidemics are emergent events, th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-05-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-04901-0 |
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