Global Readiness for Low-Carbon and Smart Agriculture Talent Cultivation: A Country-Level Assessment with Micro-Level Evidence from China
低炭素・スマート農業人材育成のためのグローバルな準備態勢:国別評価と中国からのミクロレベルのエビデンス (AI 翻訳)
Zhongya Ji, Guisheng Zhou, Zhi Chen
🤖 gxceed AI 要約
日本語
低炭素・スマート農業に必要な人材育成の準備態勢を評価するATCRI指標を開発し、160カ国を4次元で分析。中国は全体21位であり、教育・イノベーション能力は高いがデジタルインフラに相対的ボトルネックがある。学生調査からもその不一致が確認され、構造的ギャップの診断枠組みとしてATCRIを提案。
English
This study develops the Agricultural Talent Cultivation Readiness Index (ATCRI) to assess structural conditions for low-carbon and smart agriculture education across 160 countries. China ranks 21st globally, showing strong education and innovation but a bottleneck in digital delivery infrastructure. Micro-level survey evidence from Chinese students confirms this mismatch. ATCRI serves as a diagnostic framework for identifying gaps.
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
日本においても、スマート農業・脱炭素農業への人材育成は課題である。本指標は日本の農業教育の構造的ボトルネックを診断する枠組みとして応用可能であり、特にデジタルインフラや制度改革の優先順位付けに示唆を与える。
In the global GX context
This paper provides a global benchmarking framework for low-carbon agriculture talent readiness. It highlights pressure-capacity mismatches that are relevant for many countries pursuing green transitions, and offers a diagnostic tool that can inform policy and investment in agricultural education infrastructure worldwide.
👥 読者別の含意
🔬研究者:Researchers can use ATCRI for comparative studies on green agriculture education and test its predictive validity against reform outcomes.
🏛政策担当者:Policymakers can use ATCRI to identify structural bottlenecks in their country's agricultural education system and prioritize investments in digital infrastructure or institutional capacity.
📄 Abstract(原文)
Low-carbon and smart agriculture talent cultivation requires structural conditions that vary widely across countries. This study develops the Agricultural Talent Cultivation Readiness Index (ATCRI) as a proxy-based structural diagnostic tool for approximating the multi-dimensional enabling conditions and bottlenecks that shape whether SDG-linked agricultural education transformation can be operationalized at scale. ATCRI covers 160 countries across four interdependent dimensions: Education and Research, Digital/Energy/Enabling Infrastructure, Green Transition Pressure, and Innovation/Institutional Capacity. Results indicate a highly uneven global distribution: high transition pressure does not automatically translate into high readiness, with 17 countries exhibiting a pressure–capacity mismatch. China ranks 21st globally, showing a hybrid profile in which education and innovation capacity are strong while digital delivery infrastructure remains a relative bottleneck. Survey evidence from Chinese crop science students is consistent with this interpretation, revealing elevated practice-oriented reform demand where macro-level structural gaps are sharpest. ATCRI is intended as a diagnostic framework for identifying structural bottlenecks, not as a definitive measure of educational quality or reform outcomes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18115271first seen 2026-05-26 04:45:15 · last seen 2026-05-27 04:48:34
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