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
Martin Schüder, Henning Zülch
This study analyzes how board-level governance mechanisms (sustainability committees and gender diversity) influence corporate progress toward SBTi-validated science-based targets. Using a sample of 286 European firms with 586 near-term SBT…
Martin Schüder, Henning Zülch
This study examines whether SBTi participation improves corporate carbon performance across emission scopes. Using coarsened exact matching and OLS regression on 3,113 listed firms (2015-2024) in Europe, North America, and Asia, it finds co…
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