gxceed
← 論文一覧に戻る

Sustainable Decision-Making: Modeling Adoption Intention of Low-Carbon Agricultural Practices by Farmers

持続可能な意思決定：農家による低炭素農業実践の導入意図のモデル化 (AI 翻訳)

Naser Valizadeh, Khadijeh Bazrafkan, Tuyet‐Anh T. Le, Ebrahim Rastgar, Atefeh Ahmadi Dehrashid, Imaneh Goli

Sustainability📚 査読済 / ジャーナル2026-04-30#政策
DOI: 10.3390/su18094421
原典: https://doi.org/10.3390/su18094421

🤖 gxceed AI 要約

日本語

イランのファールス州の農家386名を対象に、低炭素農業（LCA）実践の導入意図を行動・道徳・制度的要因から分析。態度、知覚行動制御、道徳規範、政策支援、気候リスク認識が意図に有意な影響を与え、信頼は道徳規範を強化。モデルは導入意図の分散の76%を説明。

English

This study surveys 386 farmers in Iran's Fars Province to model adoption intention of low-carbon agricultural practices. Using SEM-PLS, it finds that attitude, perceived behavioral control, moral norms, policy support, and perceived climate risk significantly influence intention, explaining 76% of variance. Trust strengthens moral norms but does not directly affect intention.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

イランの農業事例だが、農家の行動変容に道徳規範や政策支援が重要である点は日本の地域農業やGX政策にも示唆を与える。

In the global GX context

While geographically specific, this behavioral model offers insights for designing policy interventions that leverage moral norms and trust to promote low-carbon agriculture, relevant to global GX transitions in the agricultural sector.

👥 読者別の含意

🔬研究者:Provides a validated behavioral model integrating moral and institutional factors for low-carbon adoption in agriculture.

🏢実務担当者:Highlights that policy support and farmers' perceived climate risk are key levers; trust-building can strengthen moral norms.

🏛政策担当者:Suggests policies should not only address economic barriers but also foster moral responsibility and climate risk awareness among farmers.

📄 Abstract（原文）

This study explores what motivates farmers in Fars Province, Iran, to consider adopting LCA practices, with a focus on behavioral, moral, and institutional influences. Data were collected from 386 farmers selected through stratified random sampling and analyzed using Structural Equation Modeling (SEM) in Smart Partial Least Squares (PLS) 3. The results confirmed that the measurement model was reliable and valid, and the structural model showed strong explanatory power, explaining 76% of the variance in adoption intention (R2 = 0.766) and 64% in moral norms (R2 = 0.642). Farmers’ intentions were significantly shaped by attitude (β = 0.210, p < 0.001), perceived behavioral control (β = 0.175, p < 0.001), moral norms (β = 0.307, p < 0.001), policy support (β = 0.202, p = 0.003), and perceived climate risk (β = 0.176, p < 0.001). In contrast, subjective norms and trust in institutions did not directly influence intention, although trust strongly strengthened moral norms (β = 0.387, p < 0.001). In general, the findings highlight that farmers’ decisions are shaped not only by practical and economic considerations but also by their sense of responsibility, confidence in their abilities, and perceptions of climate risk and institutional support. The study contributes to sustainability research by integrating moral and institutional perspectives into behavioral models and offers practical insights for policymakers to support the transition toward low-carbon, climate-resilient agriculture in Iran.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。