Environmental Pillar by Quantifying Environmental Subfactor in ESG Ratings

This project aims to optimize the new measurement standard of pillar E in ESG rating for Chinese market pain points and establish the relevant mathematical model. We are committed to developing an algorithm operator to aggregate information about multiple attribute variables. The environmental factors of a certain industry are collected and sub-factors are obtained according to word embedment and structure. We will then develop flexible new approaches to multi-criteria decision problems, targeting subfactors, and testing results.