This paper explores the use of engineering practices and fintech solutions to improve carbon credit management and mitigate climate change. It reviews the negative impacts of non-disclosure of carbon emissions on financial stability and suggests organizations actively manage and disclose this data. The study also analyzes factors influencing carbon prices and examines prediction algorithms to optimize carbon credit purchasing strategies for cost reduction and efficiency. Finally, it proposes future research directions in corporate carbon management cost forecasting, providing a foundation for quantitative research on the financial and market impacts of carbon management. AI
IMPACT Provides a framework for quantitative research into the financial and market impacts of carbon management practices, potentially influencing AI-driven financial tools.
RANK_REASON The item is an academic paper detailing research findings and proposing future research directions. [lever_c_demoted from research: ic=1 ai=0.4]
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