Beyond determinism: Accounting for weather variability in the carbon pricing debate for EU agriculture
決定論を超えて：EU農業の炭素価格論争における気象変動の考慮 (AI 翻訳)
Davit Stepanyan, Sebastian Neuenfeldt, Alisa Spiegel, Mareike Söder, Julio G Fournier Gabela, Florian Freund, Claudia Heidecke, Bernhard Osterburg, Alexander Gocht
🤖 gxceed AI 要約
日本語
EU農業由来の温室効果ガス排出は全体の11%を占めるが、過去20年で停滞。本研究は確率的収量変動をCAPRIモデルに組み込み、炭素価格の影響を評価。高価格帯ほど政策結果の不確実性が低減し、地域・部門間の不均一性が明らかに。生産リスクを考慮した農業気候政策設計の重要性を示す。
English
Agriculture accounts for 11% of EU greenhouse gas emissions, yet reductions have stalled. This study integrates stochastic yield variability into the CAPRI model to evaluate carbon pricing. Higher carbon prices reduce outcome uncertainty and reveal regional and sectoral heterogeneity. The findings emphasize accounting for production risk in agricultural climate policy design.
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
日本でも農業分野の排出削減が課題となる中、生産リスクを考慮した政策設計の考え方は、日本の農業分野におけるカーボンプライシング導入検討に示唆を与える。ただし事例はEU向けであり、直接適用には日欧の農業構造差を考慮する必要がある。
In the global GX context
This paper provides a methodological advance for carbon pricing in agriculture by incorporating stochastic yield variability, relevant to global policy debates under EU ETS expansion and other jurisdictions. The findings highlight that higher carbon prices reduce policy uncertainty, a key insight for regulators designing sectoral climate policies.
👥 読者別の含意
🔬研究者:Demonstrates the value of stochastic modeling over deterministic approaches in agricultural carbon pricing analysis.
🏛政策担当者:Informs that higher carbon prices can reduce outcome uncertainty in agricultural emissions reduction, aiding policy design.
📄 Abstract（原文）
Abstract Agriculture accounts for 11 per cent of EU greenhouse gas emissions, yet sectoral emissions have stagnated over the past two decades. This paper evaluates carbon pricing in EU agriculture by integrating stochastic yield variability into the CAPRI model. We assess how different carbon price levels affect emissions and outcome uncertainty. Results show that carbon pricing reduces emissions, and higher price levels are associated with lower uncertainty in policy outcomes. While expected results remain similar to deterministic simulations, stochastic modeling reveals greater regional and sectoral heterogeneity. These findings highlight the importance of accounting for production risk when designing agricultural climate policies.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1093/erae/jbag007first seen 2026-07-16 07:26:30
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