Advancing Energy Transition Through Technological Financing: Evidence From <scp>AI</scp> , Blockchain, and Sustainable Development Pathways
AI、ブロックチェーン、および持続可能な開発経路を通じた技術的資金調達によるエネルギー転換の推進：エビデンス (AI 翻訳)
Abu Bakkar Siddik, Abdulateif A. Almulhim, Mohammad Masukujjaman
🤖 gxceed AI 要約
日本語
本研究は2010〜2022年の新興・発展途上15カ国を対象に、AIおよびブロックチェーン（BC）資金調達がエネルギー転換（ET）に与える影響を分析した。持続可能な開発が媒介効果を持つこと、AIは金融発展国で、BCは制度弱国で効果が高いことを発見。技術的資金調達はイノベーション生態系を強化しETを促進する。
English
This study examines how AI and blockchain (BC) financing affect energy transition (ET) in 15 emerging and developing economies from 2010 to 2022, with sustainable development as a mediator. Results show both promote ET by strengthening innovation ecosystems; AI is more effective in financially developed economies, BC in institutionally weaker ones. Findings highlight the role of technological financing in advancing ET through sustainable development pathways.
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
日本はエネルギー転換の加速が急務であり、AIやブロックチェーンを活用した資金調達メカニズムの理解は政策立案や企業戦略に示唆を与える。特に新興国向けの技術協力や海外展開において、本知見は有用。
In the global GX context
This paper contributes to the global discourse on climate finance and technology-driven energy transitions, offering empirical evidence from diverse emerging economies—relevant for international development banks and climate funds designing financing instruments.
👥 読者別の含意
🔬研究者:Provides panel econometric evidence on how AI and blockchain financing affect energy transition, useful for researchers in climate finance and innovation economics.
🏛政策担当者:Offers insights for designing technological financing mechanisms to accelerate energy transition in developing countries.
📄 Abstract（原文）
ABSTRACT Energy transition (ET) is central to achieving the sustainable development goals (SDGs), particularly in emerging and developing economies facing increasing environmental and energy challenges. This study examines how artificial intelligence (AI) and blockchain (BC) financing—conceptualized as indicators of technological innovation capacity—affect ET across 15 emerging and developing economies from 2010 to 2022, with sustainable development (SDI) as a mediating mechanism. Using panel‐corrected standard errors (PCSE), Driscoll–Kraay estimators, instrumental variable (2SLS), and method of moments quantile regression (MMQR), we address cross‐sectional dependence, endogeneity, and heterogeneity. The findings reveal that both AI and BC financing significantly promote ET by strengthening innovation ecosystems and technological readiness. Robustness checks, including alternative estimators, lagged specifications, and nonlinear models, confirm the stability of the results, while 2SLS estimates support a causal interpretation. Heterogeneity analysis shows that AI has stronger effects in financially developed and high‐capacity economies, whereas BC plays a more prominent role in institutionally weaker and low‐technology contexts. Mechanism analysis indicates that sustainable development fully mediates these relationships, as confirmed by Sobel tests. As a result, the study highlights that technological financing contributes to ET primarily through enhancing sustainable development pathways.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71301first seen 2026-06-10 05:02:19
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