新興経済国におけるクリーンエネルギー政策がグリーンファイナンスと持続可能な経済発展を促進する役割
The Role of Clean Energy Policies in Promoting Green Finance and Sustainable Economic Development in Emerging Economies (原題)
Yaakub S, Ali S, Suki NM
🤖 gxceed AI 要約
日本語
パキスタンで家庭用風力タービン（HWT）導入を促す再エネ政策手段の有効性を、476名への意識調査とPLS-SEMで分析した研究。フィードインタリフがグリーン投資誘致に最も有効であり、AIを活用したグッドガバナンスが政策手段とグリーン投資の関係を正に調整することを示す。新興国での再エネ普及に向けた政策設計への実務的示唆を提供する。
English
Surveying 476 respondents in Pakistan and applying PLS-SEM, this study assesses which renewable-energy policy instruments best attract green investment for household wind turbines. Feed-in tariffs emerge as the most effective instrument, and AI-based good governance positively moderates the policy–investment nexus. It offers practical policy guidance for emerging-economy energy transitions.
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
日本企業・政策にとって直接の対象国ではないが、新興国での再エネ政策設計とグリーン投資誘致の実証知見は、日本の国際展開・移行金融の文脈で参考になる。
In the global GX context
Adds emerging-economy empirical evidence to the global transition-finance and renewable-policy literature, relevant to how policy de-risking (e.g. feed-in tariffs) and governance quality shape private green investment under ISSB-era capital allocation.
👥 読者別の含意
🔬研究者:新興国での再エネ政策手段と投資意欲の因果構造をPLS-SEMで示す実証例として参照できる。
🏢実務担当者:新興国市場での再エネ事業・調達判断において、政策インセンティブとガバナンス品質の重要性を把握できる。
🏛政策担当者:フィードインタリフと制度的ガバナンス整備がグリーン投資誘致に有効である点を政策設計に活かせる。
📄 Abstract（原文）
<title>Abstract</title> <p>The global reliance on fossil fuels can be alleviated through green investment in sustainable energy. This study critically analyses the effectiveness of current RE policy instruments in attracting green investment for developing household wind turbines (HWT) in Pakistan. The foremost purpose of the research is to evaluate the most significant policy instruments for implementing wind technology. The study used a purposive (non-probability) sampling approach to administer an opinion poll on energy strategy and collect data from 476 respondents (response rate 81.65%). The study used partial least squares structural equation modeling (PLS-SEM) to test the hypotheses. The results empirically support the proposed hypothesis, suggesting that the designated variables have a significant positive impact on HWT adoption. The model explained 54.6% of the variation in intention (R²) and supported H1, H3, H4, H6, and H7. However, the results did not support H2. The outcomes suggest that Feed-in Tariffs are the most efficient strategy for attracting green investment in the country's HWT sector. The results also indicate that AI-based good governance positively and significantly moderates the nexus between RE policy instruments and green investment for HWT. Regulatory authorities must prioritize energy-related policies. In both developed and developing nations, renewable energy (RE) policies have emerged as a critical concern. The study results offer a practical guide and key policy recommendations for energy-sector officials, legislators, and administrative institutions to implement innovative RE strategy tools that encourage residents to invest in green energy in Pakistan.</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-11458302/v1first seen 2026-11-13 04:29:54
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