Social Analysis Modeling with System Dynamics Approach in a Uruguayan Case of Green Hydrogen Production
ウルグアイのグリーン水素生産事例におけるシステムダイナミクスアプローチを用いた社会分析モデリング (AI 翻訳)
Giovanni Maria Ferraris, Antonio Giovannetti, Santiago González Chagas, Marco Gotelli, Soledad Gutiérrez, Roberto Kreimerman, Antonio Mauttone, V. Solina, Flavio Tonelli
🤖 gxceed AI 要約
日本語
本論文は、ウルグアイにおけるグリーン水素生産プラントの社会的影響を、システムダイナミクスモデルを用いて分析する。公共財政、教育、労働能力、生産性、社会行動のフィードバックメカニズムを明示的に表現し、長期的な社会経済的軌道を探索する。結果は、プラスの社会的成果が自動的ではなく、ガバナンス能力や財政持続可能性に依存することを示す。
English
This study uses a System Dynamics model to analyze the social implications of green hydrogen production in Uruguay. It captures feedback mechanisms among public finance, education, labor competencies, productivity, and social behavior. Results show that positive outcomes like human capital accumulation depend critically on governance capacity and fiscal sustainability, offering insights for policy design under uncertainty.
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
日本もグリーン水素の導入を推進しているが、社会的影響の分析は十分ではない。本論文のモデリング手法は、日本の地域における水素プロジェクトの社会的受容性や経済波及効果を評価する際の参考となる。
In the global GX context
Green hydrogen is central to global decarbonization, but its social dimensions are often underexplored. This paper provides a transferable modeling framework to assess socio-economic impacts, trade-offs, and policy dependencies, which is valuable for hydrogen-exporting countries and project developers worldwide.
👥 読者別の含意
🔬研究者:Useful for scholars studying socio-economic impacts of hydrogen projects and system dynamics modeling.
🏢実務担当者:Offers project developers a tool to anticipate social outcomes and design mitigation strategies.
🏛政策担当者:Highlights the need for governance and fiscal planning to ensure hydrogen investments yield equitable benefits.
📄 Abstract（原文）
The deployment of green hydrogen production is increasingly considered a strategic opportunity for energy-exporting countries. However, beyond technological and environmental aspects, large-scale industrial projects may generate complex and uncertain social and economic impacts at the regional level. This study investigates the potential social implications of introducing a green hydrogen production plant in the Department of Paysandú, Uruguay, using a System Dynamics modeling approach. It proposes an initial system model designed to establish a foundational Modeling and Simulation framework. The model explicitly represents feedback mechanisms linking public finance, education, labor competencies, productivity, and social behavior impact, allowing the exploration of long-term socio-economic trajectories under alternative institutional and policy conditions. It is used as an exploratory decision-support tool to assess conditional pathways, trade-offs, and risks. Results indicate that positive social outcomes, such as human capital accumulation and regional income growth, are possible but not automatic; they depend critically on governance capacity, fiscal sustainability, labor market coordination, and social acceptance, and may be attenuated or delayed under adverse scenarios. While this framework provides a strategic engineering lens on the social dimension, it represents a first step toward a comprehensive decision-making tool. The study analyzes a complex system by integrating energy, production, economic, social, and environmental aspects from strategic engineering lens and contributes to the literature by integrating social dimension and institutional constraints into a Modeling and Simulation framework applied to green hydrogen industrialization, offering insights into policy design under uncertainty in emerging energy-export contexts.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/en19051352first seen 2026-05-15 19:38:22
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