Effect of Climate Change on Food Industry Supply Chain Resilience in China on the Basis of Double Machine Learning Models

In recent years, global climate fluctuation has been obvious and has had a significant impact on the food industry system, which makes the impact of climate change on the resilience of the food industry supply chain of great concern. Based on this, this paper selects the panel data of 30 provinces in China from 2011 to 2022; it takes the relationship between climate change and the toughness of the food industry supply chain as the entry point, and probes deeply into the intrinsic mechanism of the impact of climate change on the toughness of the food industry supply chain. The study found the following: First, climate change has a significant negative impact on the food industry supply chain resilience, and in climate change, the impact of temperature on the food industry supply chain resilience is significantly higher than the impact of rainfall on the food industry supply chain resilience. Second, the mechanism of the effect of climate change on food industry supply chains exhibits substantial heterogeneity between major food-producing regions and non-major food-producing ones and varies across different levels of mechanization. Third, crop diversification within the study scope remarkably mitigates the negative effect of temperature fluctuations on the resilience of the food industry supply chain. Therefore, the food supply chain system must enhance its capacity to withstand climate change, and current and future resilience should be strengthened by advancing the implementation of adaptation policies, plans, and actions that drive transformation.

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Publication Details

Journal
Foods
Published
2025-10-24
DOI
https://doi.org/10.3390/foods14213623
Primary Topic
Agricultural risk and resilience
Type
article
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article

Effect of Climate Change on Food Industry Supply Chain Resilience in China on the Basis of Double Machine Learning Models

Luchen Huang, Dongxian Liu, Shengtian Jin
Foods
Agricultural risk and resilience
article

Effect of Climate Change on Food Industry Supply Chain Resilience in China on the Basis of Double Machine Learning Models

Luchen Huang, Dongxian Liu, Shengtian Jin
article en

Abstract

In recent years, global climate fluctuation has been obvious and has had a significant impact on the food industry system, which makes the impact of climate change on the resilience of the food industry supply chain of great concern. Based on this, this paper selects the panel data of 30 provinces in China from 2011 to 2022; it takes the relationship between climate change and the toughness of the food industry supply chain as the entry point, and probes deeply into the intrinsic mechanism of the impact of climate change on the toughness of the food industry supply chain. The study found the following: First, climate change has a significant negative impact on the food industry supply chain resilience, and in climate change, the impact of temperature on the food industry supply chain resilience is significantly higher than the impact of rainfall on the food industry supply chain resilience. Second, the mechanism of the effect of climate change on food industry supply chains exhibits substantial heterogeneity between major food-producing regions and non-major food-producing ones and varies across different levels of mechanization. Third, crop diversification within the study scope remarkably mitigates the negative effect of temperature fluctuations on the resilience of the food industry supply chain. Therefore, the food supply chain system must enhance its capacity to withstand climate change, and current and future resilience should be strengthened by advancing the implementation of adaptation policies, plans, and actions that drive transformation.

FoodsVol. 14(21)
Anhui University of Finance and Economics (CN), Hochschule für Angewandte Wissenschaften Kiel (DE), North West Agriculture and Forestry University (CN), Clinical Research Center Kiel (DE)
Openalex Percentile: Top 62%
Agricultural risk and resilience
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