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 1–2 of 2 papers
Hossain M.
This study examines how the presence of an emission trading system (ETS) and a risk management committee influence corporate voluntary climate action as measured by CDP disclosures. Using CDP survey responses, it analyzes the role of regula…
Asif M.S.
This study uses Carbon Disclosure Project (CDP) data to identify environmental sustainability factors that drive business model innovation towards net-zero. The findings offer insights for companies to align their strategies with climate go…
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