Yu‐you Liou
Biographic Data
| ID | 4424345 |
|---|---|
| NAME | Yu‐you Liou |
| GIVEN NAMES | Yu‐you |
| FAMILY NAME | Liou |
| SIGNATURE | LIOU Y Y |
| AFFILIATIONS | National Taiwan University |
| ORCID | 0009-0006-3155-7540 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Food traceability systems and the probability of using chemical fertilizers and pesticides − empirical evidence using plot and farm household data from agriculture census
Traffic accidents of religious tourism
We explore the causal impact of a religious pilgrimage event on traffic accidents. • We use the Dajia Mazu Pilgrimage (DMP) event of Chinese society as an illustration. • We apply the difference-in-differences method and use administrative data of vehicle transportation and traffic accidents. • We find that the increased number of non-fatal injury traffic accidents during the pilgrimage. • The loss of labor productivity and medical expenses contr…
How do consumers respond to Covid-19? Application of Bayesian approach on credit card transaction data
Forest diversity and the distribution of farm revenue - Empirical evidence from forest farms in Taiwan
Does Covid-19 affect metro use in Taipei
Does Covid-19 affect metro use in Taipei
How do consumers respond to Covid-19? Application of Bayesian approach on credit card transaction data
Forest diversity and the distribution of farm revenue - Empirical evidence from forest farms in Taiwan
Food traceability systems and the probability of using chemical fertilizers and pesticides − empirical evidence using plot and farm household data from agriculture census
Traffic accidents of religious tourism
We explore the causal impact of a religious pilgrimage event on traffic accidents. • We use the Dajia Mazu Pilgrimage (DMP) event of Chinese society as an illustration. • We apply the difference-in-differences method and use administrative data of vehicle transportation and traffic accidents. • We find that the increased number of non-fatal injury traffic accidents during the pilgrimage. • The loss of labor productivity and medical expenses contr…
Business (3 works) · Economics (2 works) · Empirical evidence (2 works) · Finance (2 works) · Medicine (2 works) · Revenue (2 works) · 2019-20 coronavirus outbreak (1 works) · Agriculture (1 works) · Agroforestry (1 works) · Artificial Intelligence (1 works)