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Article: Social elites as sentinels: estimating national excess mortality of China’s sudden COVID-19 reopening
| Title | Social elites as sentinels: estimating national excess mortality of China’s sudden COVID-19 reopening |
|---|---|
| Authors | |
| Keywords | COVID exit Event study Excess mortality Social elite Zero-COVID policy |
| Issue Date | 1-Dec-2025 |
| Publisher | Springer |
| Citation | Journal of Population Economics, 2025, v. 38, n. 4 How to Cite? |
| Abstract | China’s sudden Lifting of zero-COVID controls in December 2022 triggered a nationwide mortality surge. Using verifiable death records of social elites, such as academicians and key political figures, we estimate a conservative lower bound on excess mortality during the exit wave. We find that elite weekly mortality rates rose 5–tenfold in the weeks following the reopening, implying at least 1.44 million excess deaths nationally. Nevertheless, further analysis reveals that China’s total mortality cost during the entire pandemic remains low relative to comparable countries, as COVID-19 was largely under control from 2020 to 2022. The deaths of social elites highlight the pandemic’s reach across all societal strata and have far-reaching impacts on society. Using academia as an example, we demonstrate that while the deaths of academicians result in significant losses of valuable expertise, those deaths enhance academic upward mobility and accelerate generational turnover. Our findings underscore the need for better preparedness in future public health emergencies. |
| Persistent Identifier | http://hdl.handle.net/10722/365964 |
| ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 2.688 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | He, Guojun | - |
| dc.contributor.author | Li, Shuo | - |
| dc.contributor.author | Quan, Yucheng | - |
| dc.date.accessioned | 2025-11-14T02:40:42Z | - |
| dc.date.available | 2025-11-14T02:40:42Z | - |
| dc.date.issued | 2025-12-01 | - |
| dc.identifier.citation | Journal of Population Economics, 2025, v. 38, n. 4 | - |
| dc.identifier.issn | 0933-1433 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/365964 | - |
| dc.description.abstract | China’s sudden Lifting of zero-COVID controls in December 2022 triggered a nationwide mortality surge. Using verifiable death records of social elites, such as academicians and key political figures, we estimate a conservative lower bound on excess mortality during the exit wave. We find that elite weekly mortality rates rose 5–tenfold in the weeks following the reopening, implying at least 1.44 million excess deaths nationally. Nevertheless, further analysis reveals that China’s total mortality cost during the entire pandemic remains low relative to comparable countries, as COVID-19 was largely under control from 2020 to 2022. The deaths of social elites highlight the pandemic’s reach across all societal strata and have far-reaching impacts on society. Using academia as an example, we demonstrate that while the deaths of academicians result in significant losses of valuable expertise, those deaths enhance academic upward mobility and accelerate generational turnover. Our findings underscore the need for better preparedness in future public health emergencies. | - |
| dc.language | eng | - |
| dc.publisher | Springer | - |
| dc.relation.ispartof | Journal of Population Economics | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | COVID exit | - |
| dc.subject | Event study | - |
| dc.subject | Excess mortality | - |
| dc.subject | Social elite | - |
| dc.subject | Zero-COVID policy | - |
| dc.title | Social elites as sentinels: estimating national excess mortality of China’s sudden COVID-19 reopening | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1007/s00148-025-01122-2 | - |
| dc.identifier.scopus | eid_2-s2.0-105017570692 | - |
| dc.identifier.volume | 38 | - |
| dc.identifier.issue | 4 | - |
| dc.identifier.eissn | 1432-1475 | - |
| dc.identifier.issnl | 0933-1433 | - |
