Peer Review Report For: Digitalisation, Green Finance, and Innovation for Environmental Sustainability: Evidence from BRICS+T Economies [version 2; peer review: 3 approved with reservations]
デジタル化、グリーンファイナンス、イノベーションと環境持続可能性：BRICS+T経済圏からのエビデンス（査読レポート） (AI 翻訳)
Md Qamruzzaman, Abdulateif A. Almulhim, Abdullah A. Aljughaiman
🤖 gxceed AI 要約
日本語
BRICS+T諸国の時系列データを用い、デジタル化、グリーンファイナンス、グリーンイノベーション、人的資本、制度の質が環境持続可能性に与える影響をFourier ARDL等の高度な計量手法で分析。長期的にデジタル化とグリーンファイナンスがCO2排出削減に寄与し、非線形効果や環境クズネッツ曲線の存在を示唆。政策提言も提供。
English
Using advanced econometrics on BRICS+T time-series data, this study finds that digitalisation and green finance improve environmental sustainability by reducing CO2 emissions in the long run. It also reveals non-linear effects and supports the Environmental Kuznets Curve, offering policy guidance 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
BRICS+T諸国を対象とした実証研究であり、日本企業・政策への直接的な示唆は限定的。ただし、新興国市場でのデジタル投資とグリーンファイナンスの連携は、日本企業の海外展開やサプライチェーン管理において参考になる。
In the global GX context
This study contributes to global GX scholarship by providing empirical evidence from BRICS+T economies on the role of digitalisation and green finance in environmental sustainability. It offers insights for international investors and policymakers interested in emerging markets' low-carbon transition.
👥 読者別の含意
🔬研究者:Provides empirical evidence on non-linear effects of digitalisation and green finance on environmental sustainability in emerging economies.
🏢実務担当者:Highlights the importance of digital investment and green financing for sustainability, relevant for companies operating in BRICS+T markets.
🏛政策担当者:Offers policy guidance on integrating digitalisation and green finance for low-carbon transition in developing economies.
📄 Abstract（原文）
Background The climate change, severe level of resource depletion, and widespread ecological pressures highlight the need to identify the factors that predetermine environmental sustainability in the developing economies. Recent studies in the BRICS+T framework have focused largely on digitalisation, green finance, and innovation in Laissez-Faire, one-dimensional analytic models and thereby not considering the multi, asymmetric, and dynamic relations, which are the foundations of sustainable development. Method This study is based on formulating a question concerning the effect of digitalisation, green finance, green innovation, human capital, and institutional quality on environmental sustainability based on annual time-series data of BRICS + T economies. Using highly developed econometric techniques such as Fourier ARDL, NARDL, QARDL, and Bootstrap ARDL. Findings Empirical results show that the two, digitalisation and green finance, have a positive impact as they lead to improved low-carbon performance in addition to limiting the emission of CO2 and ecological pressure in the long run. Strong adoption of green technology and high-quality institutional increases the effects of the environment, and human capital advances sustainability by enabling the uptake of technology and facilitating human behaviour transition. It is also revealed that the outcomes reveal strong non-linear country irregularities whereby desirable perturbations in digitalisation, green finance and innovation generate stronger and more sustainable environmental returns compared to those brought about by negative shocks. These results support the presence of an Environmental Kuznets Curve among the discussed economies. Contribution By providing a comprehensive analytical model that complements digital, financial, technological, and institutionally mediated forces of environmental sustainability in BRICS+T economies, the study develops the analytical literature outside of the linear paradigm. Further, it provides practical policy guidance that is based on digital investment, green financing, skills enhancement, and policy reform, and thus provides a robust low-carbon transition and supports sustainable development paths.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5256/f1000research.207035.r509619first seen 2026-08-13 05:11:34
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