Disruption risks to Chinese overseas flat panel display supply networks under China’s zero-COVID policy

Xiongping Yue, Dong Mu (), Chao Wang (), Huanyu Ren, Jianbang Du and Pezhman Ghadimi
Additional contact information
Xiongping Yue: School of Management, Wuhan Polytechnic University
Dong Mu: School of Economics and Management, Beijing Jiaotong University
Chao Wang: College of Economics and Management, Beijing University of Technology
Huanyu Ren: School of Economics and Management, Beijing Jiaotong University
Jianbang Du: Texas A&M University
Pezhman Ghadimi: School of Mechanical & Materials Engineering, University College Dublin, Belfield

Operations Management Research, 2024, vol. 17, issue 2, No 2, 406-437

Abstract: Abstract China’s flat panel display industry boasts the largest scale worldwide and injects sustained momentum into the global flat panel display supply network. Flat panel displays being exchanged in international flows are deeply characterized by each Chinese province, forming the Chinese overseas flat panel display supply network. Network science is applied to investigate the emergent topology and disruption risk propagation of supply networks. Therefore, this study first constructs weighted and directed Chinese overseas flat panel display supply networks from 2017 to 2021 to investigate the visible risks of these networks by macroscopic and microscopic structures. Second, the hidden risk sources are revealed in supply networks using the proposed risk propagation model in supply, demand, and cooperation disruption scenarios related to China’s zero-COVID policy. The finding reveals that the visible supply risks are focused on the Yangtze River Delta region and Guangdong province, and the demand risks for flat panel d0069splays are also concentrated in these provinces. China’s supply of flat panel displays to the USA is gradually shifting to Southeast Asian countries. Additionally, the hidden risks are mainly concentrated in the eastern coastal provinces of China. The hidden cooperation risks are focused between Guangdong province and the USA, and South Korea. These findings will be helpful for determining which provinces or countries are risky sources or for offering an early warning mechanism and helpful for a more resilient and robust supply network.

Keywords: Supply networks; Flat panel display; Chinese provinces; Disruption risks; China’s zero-COVID policy (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12063-023-00399-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opmare:v:17:y:2024:i:2:d:10.1007_s12063-023-00399-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-023-00399-4

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().