File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.jue.2021.103351
- Scopus: eid_2-s2.0-85111234434
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China
| Title | JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China |
|---|---|
| Authors | |
| Keywords | COVID-19 General equilibrium spatial model Migration Spatial transmission Transportation infrastructure |
| Issue Date | 1-Jan-2022 |
| Publisher | Elsevier |
| Citation | Journal of Urban Economics, 2022, v. 127 How to Cite? |
| Abstract | This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade. |
| Persistent Identifier | http://hdl.handle.net/10722/366269 |
| ISSN | 2023 Impact Factor: 5.7 2023 SCImago Journal Rankings: 4.314 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Bingjing | - |
| dc.contributor.author | Ma, Lin | - |
| dc.date.accessioned | 2025-11-25T04:18:28Z | - |
| dc.date.available | 2025-11-25T04:18:28Z | - |
| dc.date.issued | 2022-01-01 | - |
| dc.identifier.citation | Journal of Urban Economics, 2022, v. 127 | - |
| dc.identifier.issn | 0094-1190 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/366269 | - |
| dc.description.abstract | This paper evaluates the impacts of migration flows and transportation infrastructure on the spatial transmission of COVID-19 in China. Prefectures with larger bilateral migration flows and shorter travel distances with Hubei, the epicenter of the outbreak, experienced a wider spread of COVID-19. In addition, richer prefectures with higher incomes were better able to contain the virus at the early stages of community transmission. Using a spatial general equilibrium model, we show that around 28% of the infections outside Hubei province can be explained by the rapid development in transportation infrastructure and the liberalization of migration restrictions in the recent decade. | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Journal of Urban Economics | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | COVID-19 | - |
| dc.subject | General equilibrium spatial model | - |
| dc.subject | Migration | - |
| dc.subject | Spatial transmission | - |
| dc.subject | Transportation infrastructure | - |
| dc.title | JUE insight: Migration, transportation infrastructure, and the spatial transmission of COVID-19 in China | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.jue.2021.103351 | - |
| dc.identifier.scopus | eid_2-s2.0-85111234434 | - |
| dc.identifier.volume | 127 | - |
| dc.identifier.eissn | 1095-9068 | - |
| dc.identifier.issnl | 0094-1190 | - |