Farmers' adaptive behaviors to climate change and their influencing factors: evidence from the Guanzhong Region of Shaanxi, China

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Survey reveals adaptive behaviors in smallholder farmers, indicating climate risk perception and training drive adaptation.

Adaptive behaviors significantly increase with perceived severity of climate change, and training in agriculture is crucial for adoption.
Logit and Poisson regression models were used to analyze data from 1,000 households, confirming the relationship between training and adaptation.
Self-efficacy influences insurance adoption, while income and landholding affect irrigation investments among farmers.
Policy support and cooperative membership greatly enhance uptake of agricultural insurance, vital for resilience against climate change.

Song et al. (2025) studied this question.

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