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 41–43 of 43 papers
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…
Fauzan Anditya Hafids, Mas Agus Mardyanto, Adhi Yuniarto +2
This study evaluates GHG emission reduction at PT X, an Indonesian medical device manufacturer, using SBTi near-term targets. It inventories Scope 1-3 emissions, compares actual vs. BAU, and applies MACC and AHP to prioritize mitigation str…
Nathania Adella Panjaitan, Yunieta Anny Nainggolan
This study analyzes 65 Indonesian listed infrastructure firms to examine how SBTi-aligned disclosures and financial health affect green finance uptake. Logistic regression reveals that cost of debt is the only significant financial predicto…
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