Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI

• Main Authors: Tkachenko, Nataliya, Frieder, Simon, Griffiths, Ryan-Rhys, Nedopil, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: DNS; retrieval augmented generation; nature-based solutions; sustainable credit finance; nature finance; adaptation finance; generative AI; GPT-4; Business Law, Public Responsibility, and Ethics; Finance and Financial Management
• Online Access: https://ink.library.smu.edu.sg/skbi/39; https://ink.library.smu.edu.sg/context/skbi/article/1038/viewcontent/frai_07_1167137.pdf
• Institution: Singapore Management University

We deploy a prompt-augmented GPT-4 model to distill comprehensive datasets on the global application of debt-for-nature swaps (DNS), a pivotal financial tool for environmental conservation. Our analysis includes 195 nations and identifies 21 countries that have not yet used DNS before as prime candi...