Accelerating Impact Investments for Climate and Nature in Asia 2025

Appendix: Methodology and analyses In total, 23 online interviews were conducted with experts possessing relevant expertise and experience in impact investing for climate and nature in Asia. Interviews lasted approximately 1 hour and followed a semi-structured format, whereby 10 predefined questions were asked, followed by unscripted follow-up questions. One expert elected to review the 10 questions and provide a summarized response to the interview questions. The audio feed was recorded to generate accurate transcripts containing all the experts’ responses. Permission from each expert was gained before recordings were collected. Every transcribe was screened as part of the rigorous preprocessing of the data, reviewing any transcription errors. The data collected from the interviews remained strictly confidential. This was ensured by removing any personal identifiers from the information collected and stored, when applicable. Stored files and data used for analyses were coded to conceal identifiable information, which was stored in password-protected storage devices. After all transcripts were screened, detailed analyses were performed using the software R29 by implementing a corpus-based analysis. Another preprocessing analysis was applied to discard certain words, which were redundant to the study. This included a predefined list of English “stop words” that frequently appear in everyday conversation but provide little information (e.g. “I”, “she’ll”, “the”, etc.). Other idle words (e.g. “like”, “right”, “okay”, etc.) were also added to the list of excluded words that were not considered informative to the outcome. The analysis accounted for compound words (e.g. blended finance and impact investment) and two-worded names (e.g. Hong Kong) without confusing these with individual terms that contained the same words (e.g. investment). For consistency, only British English spelling was used to prevent duplication of the same words appearing for other spelling variations (e.g. American English). Duplication for case- sensitive words (e.g. nouns and acronyms) was avoided by using lower casing. Interview responses given by the experts were included in the analyses, along with their follow- up responses to additional questions asked by the interviewer. Both questions and follow-up questions asked by the interviewers, and any other information not directly related to the interview (e.g. introductions and concluding remarks), were discarded. Several layers of analyses were included to evaluate the recurrence of a word (i.e. by frequency) and to identify important connections between different words (i.e. pattern analysis). These analyses helped pinpoint the most important information contained within the transcripts. Accelerating Impact Investments for Climate and Nature in Asia 26