Zhao, J ORCID: https://orcid.org/0000-0001-6430-2356 and Wei, C, 2023. Zombie companies in China in the COVID-19 era. International Insolvency Review. ISSN 1180-0518 (Forthcoming)
Text
1784974_Zhao.pdf - Post-print Restricted to Repository staff only Download (599kB) |
Abstract
COVID-19 poses novel sources of uncertainty and risk to companies, but it also offers many opportunities. In the COVID-19 era, unprecedented government and central bank interventions to tackle the economic crisis precipitated by the pandemic have reinvigorated the debate on the threat of a zombification of the economy in China, caused by unviable companies being kept alive artificially. This particular consequence of COVID-19 may aggravate the economic problem of zombie companies in China, increase the risk of further zombification and create new zombie companies. Recognising the risk factors of zombie companies and revisiting corporate insolvency law in China, this article aims to address a gap in knowledge related to how zombie companies are being handled in practice in China in the era of the pandemic. In particular, we will investigate the definition, recognition and uniqueness of zombie companies in the context of COVID-19, and propose several policy actions, primarily through Chinese insolvency law, to mitigate the risk of the return of zombie companies or a further zombification of the economy. It is anticipated that these measures will help to enhance China’s sustainable economic recovery in the wake of the COVID-19 pandemic.
Item Type: | Journal article |
---|---|
Publication Title: | International Insolvency Review |
Creators: | Zhao, J. and Wei, C. |
Publisher: | Wiley |
Date: | 23 July 2023 |
ISSN: | 1180-0518 |
Identifiers: | Number Type 1784974 Other |
Divisions: | Schools > Nottingham Law School |
Record created by: | Laura Ward |
Date Added: | 24 Jul 2023 08:31 |
Last Modified: | 24 Jul 2023 08:31 |
URI: | https://irep.ntu.ac.uk/id/eprint/49421 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year