Unlocking clean energy transitions in developing countries: A robust policy mix exploration for Mexico
発展途上国におけるクリーンエネルギー移行の実現：メキシコを対象としたロバストな政策ミックスの探求 (AI 翻訳)
Omar Castrejon-Campos, Lu Aye, Felix Kin Peng Hui, Paulo Vaz‐Serra
🤖 gxceed AI 要約
日本語
本論文は、メキシコを事例に、炭素価格、補助金、送電網拡張、効率基準などの政策ミックスが温室効果ガス削減に効果的であることを示す。探索的モデリングと機械学習を用いて、不確実性にロバストな政策オプションを特定し、政策立案者に実践可能な洞察を提供する。
English
This paper explores robust policy mixes for clean energy transitions in developing countries, using Mexico as a case study. Using exploratory modeling and machine learning, it finds that combining carbon pricing, subsidies, grid expansion, and efficiency standards can effectively reduce emissions while balancing costs. The results provide actionable insights for policymakers.
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、エネルギー転換政策の設計に不確実性への対応が求められている。本論文のロバストな政策ミックス分析手法は、日本の長期エネルギー戦略や炭素価格導入議論に示唆を与える。
In the global GX context
This paper contributes to the global literature on energy transition policy, particularly for developing countries. It demonstrates a robust approach to policy design that can be adapted to other contexts, aligning with global efforts under the Paris Agreement to support clean energy transitions.
👥 読者別の含意
🔬研究者:This paper offers a methodological framework for analyzing robust policy mixes under uncertainty, applicable to other country contexts.
🏢実務担当者:Corporate sustainability teams can use the findings to understand the policy environment and advocate for complementary policies.
🏛政策担当者:Policymakers in developing countries can draw insights on combining carbon pricing with infrastructure and efficiency standards.
📄 Abstract（原文）
Addressing the urgent challenge of climate change requires robust policy alternatives for transitioning to clean energy systems. Using Mexico as a critical case study, this research applies advanced modelling and machine-learning techniques to explore how different policy mixes, such as the integration of clean energy incentives, carbon taxes, and energy efficiency measures, can help achieve ambitious climate goals while balancing costs and societal needs in developing countries. By simulating multiple energy transition pathways, our findings provide policymakers with actionable insights for designing robust, cost-effective policy alternatives that are resilient to a range of uncertainties such as fuel price volatility, technological changes, and changing energy demand. Results demonstrate that combining economic signals (e.g. carbon pricing and subsidies for electric vehicles), system-level support (e.g. expanding transmission and distribution capacity), and performance standards (e.g. industry energy efficiency standards) can effectively reduce greenhouse gas emissions while balancing costs and societal needs. • Multiple policy mixes were analysed using exploratory modelling techniques. • The study reveals the most robust alternatives for Mexico's clean energy future. • Carbon pricing and grid expansion emerge as core policy instruments. • Robust policy alternatives perform reliably across uncertain future scenarios. • Findings inform policy design for long-term clean energy transitions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.jup.2026.102229first seen 2026-06-04 04:39:25
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