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 21–22 of 22 papers
Azergun, Hikmet Nazli
Based on two years of immersive fieldwork at a leading Norwegian sustainable finance institution, this dissertation reveals three 'impossibilities' that constrain sustainable finance: severe limitations of source data, unresolvable ethical …
Imen Ben Tahar, Dylan Possamaï, Xiaolu Tan
This paper characterizes optimal incentive schemes for ESG disclosure in a continuous-time principal-agent setting. A risk-averse principal contracts with heterogeneous agents whose disclosure signals correlate with a traded climate risk fa…
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