Heterogeneous Effects of Climate Risk on Risk Spillovers in China’s Banking Sector
Climate Risk and Banking Spillovers Evidence from a DY Network Model with Daily-Frequency
- DOI
- 10.2991/978-94-6239-719-4_41How to use a DOI?
- Keywords
- climate risk; banking sector risk spillover; Diebold–Yilmaz network model; Granger causality; impulse response function; cross-sectoral heterogeneity
- Abstract
This study examines climate-risk transmission through China’s banking sector using a daily-frequency panel of 1,231 trading days for 36 A-share listed banks (2020–2025). A Diebold–Yilmaz spillover network extracts system-wide and sector-level connectedness, while Granger causality tests and orthogonalized VAR impulse responses trace short-run causal channels of the Climate Policy Uncertainty index (CCPU) and a Natural Disasters news index. Key findings: (1) neither risk type elevates aggregate systemic spillovers; (2) CCPU shocks display a “dumbbell-shaped” heterogeneity—state-owned and rural banks are highly sensitive (p = 0.0007), joint-stock banks immune; (3) physical-risk pathways mirror-reverse this pattern. Rural banks constitute the sole “resonance node” significant under both risk types.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhili Zhang PY - 2026 DA - 2026/07/09 TI - Heterogeneous Effects of Climate Risk on Risk Spillovers in China’s Banking Sector BT - Proceedings of the 2026 6th International Conference on Enterprise Management and Economic Development (ICEMED 2026) PB - Atlantis Press SP - 360 EP - 368 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-719-4_41 DO - 10.2991/978-94-6239-719-4_41 ID - Zhang2026 ER -