This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 81–81 of 81 papers
Mohan Shi
This paper compares carbon footprint structures and decarbonization plans of four major luxury conglomerates (LVMH, Kering, Prada, Richemont) based on ESG reports and CDP disclosures (2019-2024). Scope 3 emissions account for 68-90% of tota…
Browse by Topic