EU-27における農業の持続可能性：低炭素移行下のトレードオフと持続可能性プロファイル
Agricultural sustainability across the EU-27: trade-offs and sustainability profiles in the low-carbon transition (原題)
Justas Štreimikis, Astrida Miceikienė
🤖 gxceed AI 要約
日本語
EU-27の農業持続可能性を、経済・環境・社会の11指標で多基準評価した研究。49名の専門家による指標選定とFuzzy-BWMによる重み付け、MULTIMOORAとBorda集約で国別性能を比較した。環境次元の重みが最も高く、再生可能エネルギー利用・農業GHG排出・エネルギー集約度が影響力の大きい指標となった。生産性の高さは環境性能の良さと一致せず、同順位でも構成の異なる持続可能性プロファイルが存在することを示す。
English
A multi-criteria framework assessing agricultural sustainability across the EU-27 using 11 economic, environmental and social indicators. Expert-weighted Fuzzy-BWM combined with MULTIMOORA and Borda aggregation ranks countries and reveals trade-offs. Environmental sustainability carries the highest weight, with renewable energy use, agricultural GHG emissions and energy intensity most influential. High productivity does not guarantee strong environmental performance, and similar rankings can reflect different sustainability configurations.
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
EUの農業低炭素移行を多面的に測る枠組みは、日本の農業分野における環境負荷把握や地域別の脱炭素政策設計の参考になる。SSBJや有報開示に直結はしないが、サプライチェーン上流の農業排出を評価する際の指標設計に示唆を与える。
In the global GX context
Offers a transparent, expert-weighted method for comparing national agricultural sustainability, relevant to CSRD value-chain and Scope 3 agricultural emissions assessment. Its emphasis on renewable energy and GHG intensity aligns with EU low-carbon transition policy and could inform differentiated, context-sensitive benchmarking.
👥 読者別の含意
🔬研究者:多基準意思決定と専門家重み付けを用いた国別持続可能性比較の手法と頑健性検証が参考になる。
🏢実務担当者:農業サプライチェーンのScope 3・上流排出評価における指標選定の考え方を示す。
🏛政策担当者:生産性と環境性能が一致しない点は、画一的な農業脱炭素政策ではなく文脈別の政策設計の根拠となる。
📄 Abstract（原文）
Agricultural sustainability in the European Union requires balancing economic performance, environmental pressures and social conditions while responding to the low-carbon transition. This study develops an integrated multi-criteria framework to assess agricultural sustainability across the EU-27 and identify trade-offs and sustainability profiles underlying cross-country differences. An initial set of 25 indicators was evaluated through a Content Validity Index (CVI) assessment involving 49 experts from 15 countries, resulting in 11 economic, environmental and social indicators. Their relative importance was determined using hierarchical Fuzzy Best-Worst Method (Fuzzy-BWM) assessments from 22 academic experts across eight countries. Country performance was evaluated using weighted MULTIMOORA and Borda aggregation, complemented by robustness and exploratory cluster analyses. Environmental sustainability received the highest dimension weight, with renewable-energy use, agricultural greenhouse-gas emissions and energy intensity emerging as the most influential indicators. The results reveal substantial heterogeneity across EU agricultural systems: high productivity does not necessarily coincide with favourable environmental performance, while similar overall positions can reflect different sustainability configurations. Rankings were highly stable under moderate changes in weights, expert composition and methodological specifications, but more sensitive to substantive changes in the sustainability architecture, particularly equal dimension weighting and exclusion of renewable-energy use. Exploratory clustering identified distinct sustainability profiles, although modest separation warrants cautious interpretation. Overall, the findings demonstrate the importance of multidimensional, context-sensitive agricultural sustainability assessment and provide a transparent framework for comparative assessment and differentiated policy analysis in the EU low-carbon transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.sftr.2026.102240first seen 2026-10-23 05:12:06 · last seen 2026-11-06 04:46:45
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