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.

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Showing 1601–1620 of 4286 papers

Peer-reviewed🇨🇳 ChinaJournalEnvironmental Science & Technology2026#AI × ESGDOI

WaterMAP: A ScalableMachine Learning Framework forEmission-Factor-Derived Spatiotemporal GHG Prediction and Mitigationin Wastewater Treatment Plants

Jinqi Jiang, Zhijing Wu, guosen zhang +9

WaterMAP is a scalable ML framework for predicting GHG emissions from wastewater treatment plants. Using data from 5155 Chinese WWTPs, it estimates Scope 1/2/3 emissions and suggests 9.6-34.0% reduction potential by 2060.

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Peer-reviewed🌍 GlobalJournalThe Lancet Planetary Health2026#AI × ESGDOI

Advancing environmental sustainability in health care: evaluating and prioritising sustainability measures for quality reporting and improvement

Michael Padget, Gregg Furie, Dionne Kringos +2

This paper is the first to systematically evaluate environmental sustainability measures for healthcare using quality measurement criteria. Six measures were assessed, and a minimum set of greenhouse gas emissions (scopes 1 and 2), water us…

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Peer-reviewed🇪🇺 EuropeJournalIntegrated Environmental Assessment and Management2026#Carbon AccountingDOI

Comparing farm-level carbon footprint calculators for dairy production with a case study of Viikki Research Farm in Finland

Yajie Gao, Marja Roitto, Teng Hu +3

This study compares five farm-level carbon footprint tools for dairy production, revealing significant variability in total GHG emissions (415-913 t CO2eq/yr) due to differences in scopes and IPCC method tiers. Tool responsiveness to mitiga…

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Peer-reviewed🇪🇺 EuropeJournalJournal of Forecasting2026#AI × ESGDOI

A Novel Text‐Based Framework for Forecasting Carbon Prices

Christian‐Oliver Ewald, Yaoyu Li

This study proposes a text-based framework for forecasting EU carbon prices, combining FinBERT sentiment analysis with PCA dimensionality reduction. Using weekly data from 2020-2024, the CNN-LSTM model with PCA inputs achieves the best perf…

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CNJournalCESifo2026#AI × ESGDOI

AI Adoption and Carbon Intensity: Evidence from China

Sébastien Houde, Wenjun Wang

Using micro-level data from Chinese firms, this paper shows that AI adoption reduces carbon emission intensity, with stronger effects for large firms, those in AI hubs, and high-carbon sectors. Mechanisms include improved energy management,…

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