ArticleHeliyon2025
What drives farmers' behavior under climate change? Decoding risk awareness, perceived impacts, and adaptive capacity in northern Italy.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Factors Affecting Smallholders' Perception of Climate Change in Eritrea.Environmental management · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding climate change in a precise and timely manner may assist in gauging the occurrence and seriousness of its impacts, thereby boosting the adaptive capacity and responsiveness of farmers. This investigation looks into farmers' knowledge of climate change, their perception of risks and impacts, and the strategies they anticipate to tackle the challenges of adaptation. A well-structured online survey covering risk awareness, perception, and adaptation was used to randomly sample 460 respondents from 12 irrigation districts in northern Italy. Descriptive and multivariate statistics, including structural equation modeling, were employed to outline the profiles of farmers, explore the drivers shaping their behavior, and disentangle the magnitude and direction underpinning their adaptive capacity. Findings revealed that farmers recognize changes in climate and perceive its variability and effects, such as rising temperatures, extreme heat events, and irregular precipitation. Farmers blend adaptive measures, including climate services and insurance, with preventive mechanisms like reducing fertilizer use, rotating and diversifying crops, and introducing soil conservation techniques. However, they encounter obstacles such as poor government assistance, expensive investments and overlay intricate regulations. Regarding decision-making processes, the structural model demonstrated that 1) recognizing climate change can sensibly predict alterations in farmers' behavior concerning climate impacts while 2) there is a lack of correlation between perceiving risks and implementing risk adaptation measures. Interestingly, factors such as farming experience, farm size, area under irrigation, and primary crop type significantly influence how risks are perceived and what measures are adopted. In light of these results, we offer guidance for upcoming research.
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Registered trials
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