Digitalisation, Green Finance, and Innovation for Environmental Sustainability: Evidence from BRICS+T Economies
デジタル化、グリーンファイナンス、イノベーションが環境持続可能性に与える影響:BRICS+T経済の証拠 (AI 翻訳)
M. Qamruzzaman, A. Almulhim, Abdullah A. Aljughaiman
🤖 gxceed AI 要約
日本語
本研究は、BRICS+T諸国におけるデジタル化、グリーンファイナンス、イノベーションが環境持続可能性に与える影響を、高度な計量経済学的手法(Fourier ARDL、NARDL等)を用いて分析。長期的にデジタル化とグリーンファイナンスはCO2排出削減と低炭素化に貢献し、グリーン技術と制度の質がその効果を高めることを示す。非線形効果や環境クズネツ曲線の存在も確認。
English
This study analyzes the impact of digitalisation, green finance, and innovation on environmental sustainability in BRICS+T economies using advanced econometric methods (Fourier ARDL, NARDL, QARDL). Results show that digitalisation and green finance positively affect low-carbon performance in the long run, with green technology and institutional quality amplifying effects. Non-linear asymmetric effects and the Environmental Kuznets Curve are also confirmed.
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
日本にとって直接関係するテーマではないが、新興国におけるグリーンファイナンスとデジタル化の連携効果を示す点で、日本の途上国支援や国際的な脱炭素政策に示唆を与える。
In the global GX context
This paper contributes to global understanding of how digitalisation and green finance interact to drive environmental sustainability in emerging economies, offering insights for international climate finance and technology transfer policies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on non-linear relationships and asymmetric effects of digitalisation and green finance on emissions, contributing to environmental Kuznets curve literature.
🏛政策担当者:Suggests that investments in digital infrastructure and green finance, combined with institutional reforms, can accelerate low-carbon transition in developing countries.
📄 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
- semanticscholar https://doi.org/10.12688/f1000research.179230.1first seen 2026-05-15 21:24:54
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