Climate Risk Intelligence and Sustainable Rural Competitiveness: A Strategic Framework For Climate-Resilient Territorial Development
気候リスクインテリジェンスと持続可能な農村競争力：気候レジリエントな地域開発のための戦略的フレームワーク (AI 翻訳)
O. Drebot, Mykola Boiko, Ніна Петруха, Iryna Honcharenko, Yevhenii Kolomiiets
🤖 gxceed AI 要約
日本語
本研究は、競合インテリジェンス理論と気候ガバナンス、農村開発を結びつける気候リスクインテリジェンス（CRI）フレームワークを提案する。ウクライナの農村地域を対象に、農業生産性の25～37%低下や世帯の60%が食料不安に直面する実態を明らかにし、伝統的知識と最新技術を組み合わせたハイブリッド適応戦略の有効性を示した。CRIフレームワークは、気候インテリジェンス能力→農村適応能力→持続可能な競争力という因果連鎖を理論化している。
English
This study proposes a Climate Risk Intelligence (CRI) framework linking competitive intelligence theory with climate governance and rural development. Focusing on Ukrainian rural territories, it reveals a 25-37% decline in agricultural productivity and 60% household food insecurity, identifying hybrid adaptation strategies combining traditional knowledge and modern technologies as most effective. The CRI framework theorizes a causal chain: Climate Intelligence Capability → Rural Adaptive Capacity → Sustainable Competitiveness.
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
日本のGX文脈では、気候リスク情報を戦略的インテリジェンスとして捉える視点は、TCFDやISSBに基づくリスク開示の実務に示唆を与える。特に、地域の適応能力と競争力を結びつけるフレームワークは、日本の自治体や農業セクターにおける気候変動適応計画の策定に参考となる。
In the global GX context
In the global GX context, this paper bridges climate risk assessment with strategic intelligence, offering a novel framework for territorial adaptation. It aligns with TCFD/ISSB emphasis on climate risk governance and provides a model for integrating local knowledge into formal adaptation strategies, relevant for regions facing agricultural climate impacts.
👥 読者別の含意
🔬研究者:Introduces CRI as a novel construct linking competitive intelligence to climate governance, offering a theoretical framework for further empirical testing.
🏢実務担当者:Provides a structured approach (CRI logic) for rural development planners to integrate climate risk intelligence into adaptation strategies.
🏛政策担当者:Highlights the need for climate risk intelligence systems in rural policy, with evidence on productivity declines and food insecurity.
📄 Abstract（原文）
Purpose: This study develops and applies a Climate Risk Intelligence (CRI) framework that connects competitive intelligence theory with climate governance and rural development to enhance the adaptive capacity of rural territories. Climate risks are increasing in rural territories, compromising food security and sustainable development among more than 3.4 billion people worldwide, yet existing frameworks fail to address climate adaptation as a strategic intelligence problem. Methodology/approach: The research applies an integrated methodology combining systematic literature analysis (41 sources, 2018–2024), spatial vulnerability assessment, multi-criteria decision analysis, and statistical modeling, structured around the CRI logic: Climate Data → Intelligence Processing → Strategic Adaptation → Sustainable Rural Competitiveness. Originality/Relevance: The study's originality lies in introducing CRI as a bridging construct between competitive intelligence theory, climate governance, and rural development — an integration absent from existing literature.This study introduces CRI as a bridging construct between competitive intelligence theory, climate governance, and rural development. Key findings: The results reveal a significant decline in agricultural productivity (25–37% for key crops), confirm that 60% of rural households experience food insecurity, and identify hybrid intelligence-based adaptation strategies — combining traditional knowledge with modern technologies — as the most effective approach to building sustainable rural competitiveness. Theoretical/methodological contributions: The study proposes an original CRI framework — Climate Intelligence Capability → Rural Adaptive Capacity → Sustainable Competitiveness — that advances competitive intelligence theory into the territorial climate governance domain.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.37497/eaglesustainable.v16i.641first seen 2026-05-05 19:12:33
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。