Industrialization, Energy Transitions, and Green Growth: A Cross-National Analysis of Environmental Pollution in Emerging Economies
工業化、エネルギー転換、グリーン成長：新興経済国における環境汚染の横断分析 (AI 翻訳)
Tagay Birhanu, Birku Reta, Tsegaye Mulugeta
🤖 gxceed AI 要約
日本語
本研究は、新興経済国におけるグリーン成長、工業化、エネルギー消費が環境汚染に与える影響をパネルデータで分析。再生可能エネルギー消費が初期に排出量を増加させる可能性など、政策統合の重要性を示す。
English
This study analyzes the impact of green growth, industrialization, and energy consumption on environmental pollution in emerging economies using panel data. It finds that renewable energy may initially increase emissions, highlighting the need for aligned industrial and environmental policies.
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
日本は先進国だが、新興国への投資や技術移転の文脈で、再生可能エネルギー導入初期の排出増加リスクは参考になる。また、産業政策と環境政策の統合は日本のGX戦略にも示唆を与える。
In the global GX context
This paper challenges the assumption that renewable energy immediately reduces emissions in emerging economies, providing evidence for rebound effects. It informs global discussions on climate finance and technology transfer tailored to local contexts.
👥 読者別の含意
🔬研究者:Offers empirical evidence of renewable energy rebound effects in emerging economies, useful for further theory development.
🏢実務担当者:Reminds companies operating in emerging markets that renewable energy adoption may not yield immediate emission reductions without complementary policies.
🏛政策担当者:Advises policymakers in emerging economies to anticipate short-term emission increases from renewable energy and design integrated industrial policies.
📄 Abstract（原文）
Objective: This study aimed to examine the effect of green growth, industrialization, and energy consumption on environmental pollution across emerging economies. The researchers applied quantitative, deductive research design, employing panel data gathered from authoritative sources, including the WB, UNDP, and IEA. Analysis confirms statistically significant heterogeneity in emission levels among the sampled countries. The Random Effects Model results also demonstrate that the set of included predictors collectively exert a significant influence on emissions with overall R2 of 52.53%. These findings yield actionable policy insights for governments in emerging economies. The results underscore the imperative to strategically leverage technological innovation and accelerate clean energy transitions, while adapting industrial policy to be coherently aligned with environmental sustainability goals. The novelty of this research lies in its use of cross-national comparative approach, integrating sustainability into environmental analysis and uncovering the counter-intuitive result that renewable energy consumption may initially increase emissions in emerging economies. Furthermore, this article stresses on the rebound effects of digitalization and emphasizing customized and nation-specific policy pathways. It advances the discourse on balancing industrialization, energy transitions, and green growth in diverse emerging contexts. JEL Classification Codes: Q53, Q56, O13, Q43, C33 Keywords: Determinants, Environmental Pollution, CO2 Emissions, Emerging economies, Panel Data
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.17485/ijst/v19i3.2034first seen 2026-05-15 20:26:53
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