住宅用電気料金の非対称な社会経済的負担の定量化：エネルギー経済影響指標フレームワーク
Quantifying the Asymmetric Socioeconomic Burden of Residential Electricity Tariffs: The Energy-Economic Impact Index Framework (原題)
Jesús Martínez Patiño, Iván A. Hernández-Robles, Xiomara González-Ramírez, José M. Lozano, Carlos Rubio-Maya, Alejandro Pizano-Martínez
🤖 gxceed AI 要約
日本語
メキシコの住宅用電気料金の複雑な構造が低所得世帯に与える負担を評価するため、Energy-Economic Impact Index (EEII) を開発。2018〜2024年の全32州データを用い、高温地域の世帯では電気料金が実収入の最大14.90%を占めるなど、料金負担の深刻な非線形的拡大を実証。政策立案者向けの意思決定支援ツールを提供する。
English
This study develops the Energy-Economic Impact Index (EEII) to assess the burden of complex residential electricity tariffs on low-income households in Mexico. Using data from all 32 states (2018-2024), it reveals severe non-linear escalation of energy costs, with households in high-temperature regions spending up to 14.90% of real monthly income on electricity in 2024. The framework supports policy planning for subsidy allocation and energy poverty reduction.
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
日本の電気料金制度は地域間格差が小さいが、再エネ賦課金や燃料費調整の負担が家計に与える影響は同様の課題。本指標は、日本の家庭部門のエネルギー貧困対策や、SSBJに基づく情報開示における社会的側面の考慮に示唆を与える。
In the global GX context
This paper contributes to global discourse on energy poverty and just transition by providing a quantitative framework to assess tariff structures' socioeconomic impact. It offers a replicable methodology for evaluating subsidy efficiency and affordability, relevant for countries with increasing block tariffs and for aligning with social aspects of sustainable finance frameworks.
👥 読者別の含意
🔬研究者:Provides a novel index (EEII) for quantifying energy burden asymmetry, useful for comparative studies on tariff design and energy poverty.
🏢実務担当者:Offers a tool for utilities and regulators to assess the social impact of tariff structures and optimize subsidy allocation.
🏛政策担当者:Highlights the need for socioeconomic targeting in energy subsidies, informing policy design to reduce energy poverty in transition economies.
📄 Abstract（原文）
Residential electricity tariff structures in emerging economies are often highly complex, dynamically combining regional climatic variables and multi-tiered price adjustments. In Mexico, despite a preferential scheme designed to mitigate seasonal expenditure fluctuations, baseline energy subsidies frequently fail to protect low-income households due to structural targeting inefficiencies based strictly on regional temperature thresholds rather than socioeconomic status. This study addresses this methodological and regulatory gap by developing the Energy-Economic Impact Index (EEII), a novel mathematical and heuristic framework that couples complex Increasing Block Tariffs (IBT) architecture with localized household income dynamics at the state level. The proposed methodology was comprehensively validated using synchronized biennial empirical datasets from all 32 Mexican states, combining Federal Electricity Commission (CFE) billing data and National Surveys of Household Income and Expenditures (ENIGH) spanning the 2018–2024 period. Quantitative results reveal a severe, non-linear escalation of the financial energy burden across the territory, demonstrating that rising residential electricity costs significantly outpaced domestic income growth trajectories. Notably, households situated within high-temperature geographic regimes (Tariffs 1D, 1E, and 1F) exhibited the most critical economic vulnerability, with the calculated energy cost impact absorbing up to 14.90% of the real monthly household income in 2024. Ultimately, the EEII framework proves to be a robust predictive and decision-support tool for energy policy planners aiming to optimize fiscal subsidy allocation, reduce energy poverty gaps, and mitigate socioeconomic risks in transition economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19163811first seen 2026-09-05 05:03:06
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