Impact of temperature variability on supply chain resilience in China: Mechanisms and insights

Lian Xing Yang; Yin Ting Zhang; Mo Lei Chen

doi:10.1016/j.frl.2025.107866

Impact of temperature variability on supply chain resilience in China: Mechanisms and insights

Lian Xing Yang
, Yin Ting Zhang^*
, Mo Lei Chen

^*Corresponding author for this work

School of Economics and Management

East China Normal University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

With global climate change intensifying, extreme temperatures challenge supply chain resilience. Using China's 2016–2020 enterprise tax data and county-level temperature data, this study constructs a resilience index based on resistance and recovery capacity. Results reveal a nonlinear effect: moderate warming enhances resilience, while extreme temperatures weaken it by disrupting production, lowering efficiency, and destabilizing supply–demand matching. Northern, upstream, and state-owned enterprises are more vulnerable. These findings offer insights for targeted adaptation strategies to enhance resilience and ensure economic stability.

Original language	English
Article number	107866
Journal	Finance Research Letters
Volume	85
DOIs	https://doi.org/10.1016/j.frl.2025.107866
State	Published - Nov 2025

Keywords

Climate change
Extreme temperature
Resilience
Supply chain

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.frl.2025.107866

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title = "Impact of temperature variability on supply chain resilience in China: Mechanisms and insights",

abstract = "With global climate change intensifying, extreme temperatures challenge supply chain resilience. Using China's 2016–2020 enterprise tax data and county-level temperature data, this study constructs a resilience index based on resistance and recovery capacity. Results reveal a nonlinear effect: moderate warming enhances resilience, while extreme temperatures weaken it by disrupting production, lowering efficiency, and destabilizing supply–demand matching. Northern, upstream, and state-owned enterprises are more vulnerable. These findings offer insights for targeted adaptation strategies to enhance resilience and ensure economic stability.",

keywords = "Climate change, Extreme temperature, Resilience, Supply chain",

author = "Yang, \{Lian Xing\} and Zhang, \{Yin Ting\} and Chen, \{Mo Lei\}",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier Inc.",

year = "2025",

month = nov,

doi = "10.1016/j.frl.2025.107866",

language = "英语",

volume = "85",

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T1 - Impact of temperature variability on supply chain resilience in China

T2 - Mechanisms and insights

AU - Yang, Lian Xing

AU - Zhang, Yin Ting

AU - Chen, Mo Lei

PY - 2025/11

Y1 - 2025/11

N2 - With global climate change intensifying, extreme temperatures challenge supply chain resilience. Using China's 2016–2020 enterprise tax data and county-level temperature data, this study constructs a resilience index based on resistance and recovery capacity. Results reveal a nonlinear effect: moderate warming enhances resilience, while extreme temperatures weaken it by disrupting production, lowering efficiency, and destabilizing supply–demand matching. Northern, upstream, and state-owned enterprises are more vulnerable. These findings offer insights for targeted adaptation strategies to enhance resilience and ensure economic stability.

AB - With global climate change intensifying, extreme temperatures challenge supply chain resilience. Using China's 2016–2020 enterprise tax data and county-level temperature data, this study constructs a resilience index based on resistance and recovery capacity. Results reveal a nonlinear effect: moderate warming enhances resilience, while extreme temperatures weaken it by disrupting production, lowering efficiency, and destabilizing supply–demand matching. Northern, upstream, and state-owned enterprises are more vulnerable. These findings offer insights for targeted adaptation strategies to enhance resilience and ensure economic stability.

KW - Climate change

KW - Extreme temperature

KW - Resilience

KW - Supply chain

UR - https://www.scopus.com/pages/publications/105010223668

U2 - 10.1016/j.frl.2025.107866

DO - 10.1016/j.frl.2025.107866

M3 - 文章

AN - SCOPUS:105010223668

SN - 1544-6123

VL - 85

JO - Finance Research Letters

JF - Finance Research Letters

M1 - 107866

ER -

Impact of temperature variability on supply chain resilience in China: Mechanisms and insights

Abstract

Keywords

UN SDGs

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