Predicting country-specific financing capacity for renewable energy project

• Published in: E3S Web of Conferences
• Main Author: Mohamed-Ariffin M.S.; Md Daud M.; Muhammad H.; Samad A.R.A.; Hassan M.
• Format: Conference paper
• Language: English
• Published: EDP Sciences 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192863137&doi=10.1051%2fe3sconf%2f202451601011&partnerID=40&md5=ffb3d3a00c458b2612ecd1e99ee1ecc2

This study aims to scrutinize the various determinants that influence a nation's ability to fund and support renewable energy ventures, encompassing factors such as economic stability, regulatory environment, energy demand, and access to capital markets. By drawing on a range of empirical data, financial indicators, and statistical models, this study seeks to determine which factor most potent when predicting financing capacity of a specific country towards renewable. A secondary research using published data by government publications and non-governmental databases is the research method for the present study. The data derived from these databases organized into tables to allow for regression analysis to be conducted to achieve the research objectives. The results from the regression analysis indicate that stock market and inflation rate are significant variables should be included in the predictive model of financing capacity for renewable energy. © 2024 The Authors, published by EDP Sciences.