Study on the spillover effects of tail risks in the supply chain of China’s pharmaceutical industry
While the TENET model employed in this study serves as a powerful tool for analyzing tail risk networks, it possesses inherent limitations. Future research could integrate structured econometric models, such as the introduction of exogenous instrumental variables, or adopt high-frequency data causal discovery techniques. These approaches would help disentangle intrinsic causal pathways and further reveal the "topology of risk transmission.
Authors
- Cheng Wang (ORCID: https://orcid.org/0000-0002-3440-1596)
- Mengnan Xu (ORCID: https://orcid.org/0009-0006-0770-5259)
- Mengyue Xu
Institutions
- Anhui University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-02-04
- DOI
- https://doi.org/10.3389/fpubh.2026.1704501
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00