Advancing Sustainable Investment Efficiency and Transparency Through Blockchain-Driven Optimization

In the context of escalating climate change and mounting environmental challenges, green finance has emerged as a crucial mechanism for fostering sustainable development. This paper presents an experimental analysis that illustrates how the integration of blockchain technology into financial technology (fintech) strategies can significantly enhance the efficacy of green investments. Our proposed framework facilitates the optimization of these strategies by improving transparency and fund traceability in environmentally focused projects. Through rigorous testing and data-driven insights, we demonstrate the potential of blockchain to streamline financing processes, mitigate risks associated with fraudulent practices, and promote accountability among stakeholders. By establishing a synergistic relationship between fintech and ecological responsibility, this research provides a novel approach that contributes to both academic discourse and practical applications in green finance. The proposed approach showcases experimental originality by integrating blockchain technology with green finance, setting a precedent for future research in this interdisciplinary field. Our findings reveal that blockchain can significantly enhance the efficiency of financing processes, reducing transactional delays and fostering transparency that mitigates risks related to fraud. Moreover, this study highlights the potential of this synergistic model to cultivate a robust framework for accountability among stakeholders, ultimately guiding investment toward environmentally sustainable initiatives and bolstering the integrity of green financial practices.

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Publication Details

Journal
Sustainability
Published
2025-02-26
DOI
https://doi.org/10.3390/su17052000
Citations
7
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
21.92

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article

Advancing Sustainable Investment Efficiency and Transparency Through Blockchain-Driven Optimization

Ameni Boumaiza
7 citations
Sustainability
Market Dynamics and Volatility
21.92
article

Advancing Sustainable Investment Efficiency and Transparency Through Blockchain-Driven Optimization

Ameni Boumaiza
article en
7 citations

Abstract

In the context of escalating climate change and mounting environmental challenges, green finance has emerged as a crucial mechanism for fostering sustainable development. This paper presents an experimental analysis that illustrates how the integration of blockchain technology into financial technology (fintech) strategies can significantly enhance the efficacy of green investments. Our proposed framework facilitates the optimization of these strategies by improving transparency and fund traceability in environmentally focused projects. Through rigorous testing and data-driven insights, we demonstrate the potential of blockchain to streamline financing processes, mitigate risks associated with fraudulent practices, and promote accountability among stakeholders. By establishing a synergistic relationship between fintech and ecological responsibility, this research provides a novel approach that contributes to both academic discourse and practical applications in green finance. The proposed approach showcases experimental originality by integrating blockchain technology with green finance, setting a precedent for future research in this interdisciplinary field. Our findings reveal that blockchain can significantly enhance the efficiency of financing processes, reducing transactional delays and fostering transparency that mitigates risks related to fraud. Moreover, this study highlights the potential of this synergistic model to cultivate a robust framework for accountability among stakeholders, ultimately guiding investment toward environmentally sustainable initiatives and bolstering the integrity of green financial practices.

SustainabilityVol. 17(5)
Hamad bin Khalifa University (QA)
Qatar National Research Fund
Openalex Percentile: Top 1%
Market Dynamics and Volatility
21.92
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