Factor distortions and carbon efficiency: the case of energy misallocation
要素の歪みと炭素効率：エネルギー誤配分のケース (AI 翻訳)
Qu Jingyu, Wooyoung Jeon
🤖 gxceed AI 要約
日本語
本研究は73カ国のパネルデータを用い、エネルギー誤配分が全要素炭素生産性（TFCP）に与える影響を確率的フロンティア分析で検証。エネルギー過剰配分は過小配分よりも生産性コストが高く、その悪影響は時間とともに強まる。環境政策、特に市場ベースの手段がこの悪影響を緩和することを示し、低炭素移行政策の重要性を強調。
English
Using panel data from 73 countries (1991-2023), this study applies stochastic frontier analysis to examine how energy misallocation affects total factor carbon productivity (TFCP). Results show a strong negative correlation, with over-allocation more costly than under-allocation, and the effect intensifying over time. Environmental policies, especially market-based instruments, partially mitigate this impact, highlighting energy allocation efficiency as a key mechanism for low-carbon transition.
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政策（GX推進戦略、カーボンプライシング）において、エネルギー配分の効率化が炭素生産性向上に寄与することを示す実証的根拠を提供。市場ベースの政策手段の有効性を支持し、今後の政策設計に示唆を与える。
In the global GX context
This study provides cross-country empirical evidence that energy misallocation hampers carbon productivity, with market-based environmental policies mitigating the effect. It supports global efforts to design effective carbon pricing and energy transition policies, aligning with ISSB and TCFD frameworks that emphasize efficient resource allocation.
👥 読者別の含意
🔬研究者:Provides robust empirical evidence on the link between energy misallocation and carbon productivity, with methodological insights for cross-country analysis.
🏢実務担当者:Highlights the importance of energy allocation efficiency in corporate carbon management and the potential benefits of market-based policy instruments.
🏛政策担当者:Offers evidence that market-based environmental policies can mitigate the negative impact of energy misallocation, supporting the design of effective carbon pricing mechanisms.
📄 Abstract（原文）
The enhancement of carbon productivity necessitates the deployment of cleaner technologies, the establishment of robust policy frameworks, and the optimization of production factor allocation. This study examines the effect of energy misallocation on total factor carbon productivity (TFCP) using stochastic frontier analysis across 73 countries. Employing panel data from 1991 to 2023, we construct country-level relative misallocation indices for energy, capital, and labour, based on deviations between observed and theoretically efficient factor input shares. Our methodology involves fixed-effects models and several robustness checks, including dynamic panel analysis and policy-heterogeneity tests. The results reveal a strong negative correlation between energy misallocation and TFCP, whereas the impacts of capital and labour misallocation are comparatively weaker and less consistent. Energy over-allocation imposes a greater productivity cost than under-allocation, indicating that excessive energy consumption significantly impedes carbon-adjusted efficiency. This deleterious effect intensifies in later periods, coinciding with increases in economic scale, energy demand, and carbon constraints. Nevertheless, policy-heterogeneity tests, utilizing Environmental Policy Stringency indicators, demonstrate that environmental policies, particularly market-based instruments, partially attenuate this effect by strengthening price signals and incentivizing structural adjustments. These findings highlight energy allocation efficiency as a critical mechanism through which low-carbon transition policies can advance carbon productivity.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/00036846.2026.2701324first seen 2026-08-01 05:49:09
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