GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
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Showing 20201–20220 of 36021 papers

Preprint🌍 GlobalSSRN2024#Greenwashing

IT'S NOT EASY BEING ANTI-GREENWASHING

(著者不明)

This paper analyzes the challenges companies face in implementing anti-greenwashing measures, particularly the difficulty of disclosing and assessing the materiality of Scope 3 emissions in second-hand clothing sales.

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Preprint🌍 GlobalSSRN2025#Scope 3

Sustainability disclosure on scope 3 greenhouse gas ...

MA Harjoto

This study analyzes Scope 3 emission reporting of 48 oil and gas firms across 19 countries, focusing on Category 11 (use of sold products) disclosure. It finds patterns in voluntary disclosure and highlights implications for regulation.

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Preprint🌍 GlobalZenodo2026#Energy TransitionDOI

Policy Briefs

Kiri Hennadige, Suranga Lakmal, Sendanayake, Avishka, Böhmová, Helena +6

This document compiles policy briefs by C-URGE doctoral candidates, covering topics such as pollution in Sri Lanka, weather forecasting, energy transition in Germany, just transition from coal, forest governance in Argentina, Congo River fl…

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🇪🇺 EuropeDatasetZenodo2026#Energy TransitionDOI

Positive Energy Districts in Switzerland : Analysis from a Technical, Social and Business Point of View - Data and Python code for the technical approach.

Cassella, Adriano, Lima, Ricardo, Rossier, Robin

This study provides data and Python code for technical analysis of Positive Energy Districts in Switzerland. It calculates building energy balances, rooftop solar potential, return on investment for PV, and uses convex optimization to simul…

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