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.
Showing 1461–1480 of 4137 papers
Mei Xie, Zhuofan Yang, Yiyan Li +3
This review systematically synthesizes the application of Self-Determination Theory (SDT) to social acceptance of sustainable energy technologies. Following PRISMA, 34 studies (2000-2026) were analyzed, showing that autonomous motivation, s…
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.
万尧
This meta-analysis synthesizes quasi-experimental evidence on China's ETS and green innovation, using three-level meta-regression to disentangle design choices from real policy effects. It pre-specifies moderators and publication bias tests…
Tao Huang, Zhixin Liu, Chenyue Zhou
This paper analyzes the impact of the EU Carbon Border Adjustment Mechanism (CBAM) on corporate ESG scores, demonstrating that aggregate ESG scores fail to adequately capture carbon border shock risks. Using financial and emissions data of …
Federico Cammelli, Johan Six, Rachael Garrett
This study quantifies collusion in sustainability verification reports for cocoa supply chains, finding 25% collusion, reduced to 11% by withholding compliance thresholds. It underscores that monitoring and traceability alone are insufficie…
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…
Nan Deng, Xi Chen, Giovanna Michelon
This paper empirically investigates investor perceptions of mandatory sustainability reporting standards. Co-authored by researchers from the University of Bristol and the University of Padua, it analyzes how the adoption of such standards …
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…
Jakob Unterkofler
This study examines how inequality in energy cost burdens relates to public support for climate policies in Europe, using Google Trends data. It finds that in countries without carbon pricing, higher inequality correlates with stronger supp…
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…
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,…
Michael D. Bauer, Diego R. Känzig, Glenn D. Rudebusch
Using high-frequency event studies based on EU carbon market regulatory news, this paper shows carbon price surprises significantly raise energy futures, inflation swap rates, and breakeven inflation rates, with effects persisting up to ten…
G.S. Clark, Mohammad Adib, C H Li +5
This study experimentally investigates methane pyrolysis in shock tubes, providing detailed measurements and modeling of hydrogen and carbon black formation. It contributes to understanding the reaction mechanisms of methane pyrolysis, a pr…
Can Hankendi, Ayse K. Coskun, Benjamin K. Sovacool
This paper goes beyond AI's carbon emissions to analyze the whole-system energy and environmental sustainability of datacenters in Denmark, Germany, and Norway. It evaluates how renewable energy availability and cooling technologies affect …
Sami El Geneidy, Maiju Peura, Viivi-Maija Aumanen +4
This paper proposes a method to compute integrated carbon and biodiversity footprints from organizational activity data, using spatially explicit potential species loss as a biodiversity equivalent. It provides a country-specific dataset an…
Nick Schäuble, Marius Wehinger, Chihchi Huang +3
A life cycle assessment of an integrated process combining CO2 removal from biogas with liquid digestate treatment for water recovery and nutrient concentration. The green scenario achieves net-negative emissions of 0.45 kg CO2e per kg CO2 …
Paul Foulquier, Ryma Haddad, Ali Assem Mahmoud +4
This paper presents a machine learning approach to accelerate the design of complex and high entropy alloys for protective coatings in low-carbon energy applications (nuclear, high-temperature electrolysis). It introduces the French DIADEM …
Yulin Shao, Lu Yang, Jianhui He +4
This study develops a steel slag-based belite-ferrite (BF) clinker as an alternative to Portland cement clinker. The BF clinker promotes active α-C2S formation and reduces CO2 emissions by 22-38% compared to OPC clinker. In OPC-BF cement sy…
Katarzyna Piotrowska, Izabela Piasecka, Patrycja Bałdowska-Witos +1
This study proposes a decision-oriented LCA framework for sustainable product innovation in SUVs, evaluating six powertrain technologies from 2025-2050. Recycling outperforms landfilling, reducing GHG emissions by 26-35%, and BEV/FCEV are h…
Linglufei Zhang
This study focuses on thermal comfort and low-carbon design in residential buildings, proposing strategies to reduce energy consumption while improving comfort through analysis of indoor thermal energy cycles. A thermal airflow organization…
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