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Past, present, and future of sustainable finance: Insights from big data analytics through machine learning of scholarly research.

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This study aims to conduct a comprehensive review of sustainable finance research using big data analytics and machine learning.

It will analyze a large corpus of scholarly research to provide an up-to-date overview of the performance and intellectual structure of the field. The study will identify influential articles, top contributing journals, authors, institutions, and countries, as well as examine methodological choices and research contexts. It will also uncover major themes in sustainable finance research, propose suggestions for future research directions, and highlight the importance of innovative financing instruments, profitability and sustainability in sustainable finance, policy frameworks, addressing greenwashing, applying behavioral finance, and leveraging new-age technologies for the advancement of sustainable finance.

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●Past, Present, and Future of Sustainable Finance: Insights from Big Data Analytics through Machine Learning of Scholarly Research.

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Corporate Sustainability

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