Assessment of Carbon Transition Risks in Kazakhstan’s Industrial Economy
カザフスタン産業経済におけるカーボン移行リスクの評価 (AI 翻訳)
L. Khuanysh, Zh. Dauletkhanova, Zh. Mizambekova, D. Baikenova
🤖 gxceed AI 要約
日本語
本論文は、カザフスタンの産業経済における炭素移行リスクを評価し、企業の炭素リスクレベルに影響を与える主な要因を特定する。複合炭素リスク指数（CRI）を計算し、2011～2025年のデータを用いたパネル回帰分析により、生産の炭素強度、老朽化した設備、グリーンファイナンスが重要な因子であることを示した。CRIは0.72から0.53へ低下し、炭素強度は18.4%減少した。電力業界で最もリスクが低減し、鉱業で改善が小さいことが明らかになった。
English
This study assesses carbon transition risks in Kazakhstan's industrial economy, identifying key factors influencing enterprise carbon risk levels. Using a composite carbon risk index (CRI) and panel regression on 2011-2025 data, it finds that carbon intensity of production, outdated equipment, and green financing are critical determinants. The CRI decreased from 0.72 to 0.53, and carbon intensity fell by 18.4%. The electric power industry saw the greatest risk reduction, while mining showed the least.
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
カザフスタンは資源依存型経済であり、日本のような先進国とは異なるが、炭素移行リスクの評価手法や産業別のリスク低減策は、日本の製造業やエネルギー企業が新興国での事業を検討する際の参考になる。特に、グリーンファイナンスの効果を定量化した点は、日本の投資判断にも示唆を与える。
In the global GX context
This paper contributes empirical evidence on carbon transition risk in a resource-dependent emerging economy, offering a replicable methodology (composite CRI, panel regression) that can inform global disclosure frameworks like TCFD and ISSB. The findings on green financing's risk-mitigating role and sectoral disparities are relevant for transition finance discussions and multinational corporate risk assessment in similar contexts.
👥 読者別の含意
🔬研究者:The composite CRI and panel regression approach provide a structured way to assess transition risk, applicable to other resource-dependent economies.
🏢実務担当者:The analysis highlights green financing and technology modernization as key levers to reduce carbon risk, useful for corporate sustainability teams in carbon-intensive sectors.
🏛政策担当者:The sectoral risk differentiation (e.g., mining lagging) underscores the need for targeted policies and support for technological upgrades.
📄 Abstract（原文）
The transition to a low-carbon economy is increasing pressure on industrial companies, especially in resource-dependent countries where a significant share of production, exports, and investment is tied to carbon-intensive sectors. The purpose of the article is to assess the risks of the carbon transition in Kazakhstan's industrial economy and to identify the main factors influencing enterprises' carbon risk levels. The methodological basis of the study includes the calculation of the composite carbon risk index (CRI), correlation analysis, panel regression with fixed effects, and the construction of a matrix of carbon transition risks and opportunities. The empirical base of the study covers the period 2011-2025 and includes data from the Bureau of National Statistics of the Republic of Kazakhstan, the Ministry of Energy of the Republic of Kazakhstan, reports from international organizations, as well as annual and ESG reports from 12 large industrial companies in Kazakhstan. The results show that for 2011-2025. The CRI index decreased from 0.72 to 0.53, and the industry's carbon intensity decreased by 18.4%. Panel regression showed that the main factors of carbon risk are carbon intensity of production (β=0.614; p<0.001), outdated equipment (β=0.441; p<0.01), and green financing (β=-0.383; p<0.01). The model explains 71.2% of the intra-company variation in CRI. The greatest reduction in risk was noted in the electric power industry (-31.8%), the lowest in the mining sector (-8.8%). The results confirm the need for technological modernization, expansion of green financing, and the development of industry-specific mechanisms to manage carbon transition risks.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.51176/1997-9967-2026-2-23-39first seen 2026-07-24 05:52:25
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