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 521–540 of 4285 papers
Wang-Chen Yang, H. Arian, Cui-Cui Luo
This paper proposes a constrained residual learning framework for portfolio optimization in China and Europe's carbon markets. It applies machine learning to capture carbon price dynamics and optimize risk-return trade-offs, offering improv…
Richard Bodó, András Torma
This bibliometric study maps carbon dioxide removal (CDR) research from 2016 to 2025 using 4,281 Web of Science records. Output surged after 2019, aligning with net-zero targets. Four thematic clusters emerged, but the direct link between e…
Hannes Cordes
This systematic review maps NLP tasks used to analyze sustainability reports, categorizing 160 studies hierarchically. It finds keyword search, content analysis, and topic modeling are most common, and highlights limitations such as linguis…
Sofiіa Kafka
This paper proposes an analytical methodology to integrate non-financial reporting into strategic management under CSRD/ESRS and Omnibus I, based on double materiality. Using hybrid weighting combining ESRS materiality, expert evaluation, a…
Rongyu Ji
This qualitative case study of Microsoft examines how ESG information disclosure affects capital market performance in AI enterprises. It finds that completeness, openness, and AI-specific governance of ESG disclosure are high, with respons…
Léo Staccioli, José Gallego, Milena Nasner +1
This study assesses carbon footprint of defect repair in wind turbine blade manufacturing across three configurations: baseline, optimized infusion, and sensor+ML. Optimized infusion cuts repair CO2 by 30.4%, ML by 19.5%, less than its 32.1…
Atul Khanna, Abhishek Shukla
As AI workloads grow, data center electricity demand and carbon emissions rise sharply. This paper argues from an operations perspective—not hardware design—that workload placement, energy- and carbon-aware scheduling, right-sizing, inciden…
Dongyang Fan, Carlos M. Duarte, Faming Wang +18
Macroalgae are important for ocean carbon cycling, but the spatial distribution of their coastal carbon burial is poorly known. This study provides a high-resolution global assessment, finding that depositional environment controls burial, …
Siyan Chen
Using a Difference-in-Differences model on Chinese A-share listed companies, this paper finds that improved carbon information disclosure reduces corporate financing constraints. It also explores the moderating effect of ownership nature, p…
You-Ren Wang
This repository provides code and derived data analyzing the financial incentives of blue carbon finance mechanisms for mangrove protection in Southeast Asia (Indonesia, Malaysia, Philippines). It compares avoided-loss crediting signals aga…
Meng Li, Xuedong Wang, 肖旭倩
This paper theorizes the legal basis for protecting blue carbon ecosystems under international law, arguing that monitoring, reporting, and verification (MRV) is a binding obligation under UNCLOS Articles 192, 194, and 204-206, independent …
Xinyi Wei, S. K. Kot-Cheung, Jing Sun
This review systematically analyzes Direct Air Capture (DAC) technology using a performance-transfer framework from molecular binding to material shaping, contactor operation, regeneration, and storage. Surveying the past decade of literatu…
Oyetola Ogunkunle, Emmanuel Uche, Kinsgley I. Okere +1
This paper systematically evaluates AI contributions to low-carbon energy production using bibliometric analysis and SWOT appraisal. It identifies research trends, key themes, and strengths, weaknesses, opportunities, and threats, offering …
Xue Meng, Jie Ren, Xiaoxia Huang
This paper develops an optimization model for low-carbon retrofit strategies in BF-BOF integrated steel plants under different budget levels, incorporating carbon price dynamics based on expert forecasts and market volatility in China's car…
Hongyu Zhou, Gang Wang, Zhen Liu +4
This paper proposes an electric-carbon dual time-shift coordinated dispatch for integrated energy systems, combining solvent-storage-assisted carbon capture power plants and EV aggregators. A 15-minute MILP model with Monte Carlo EV uncerta…
Yuanzhao Li, Yingxu Shen, Mengyang Hou +4
Using panel data of Chinese listed firms from 2007-2022, this study employs a multi-period DID model to examine the impact of the carbon emissions trading system (CETS) on enterprise digital transformation (EDT). Results show CETS significa…
Ataç Aytuğ
This study examines the legal implications of Türkiye's Climate Law No. 7552 and its national ETS (TR-ETS) design on the 'carbon price effectively paid' deduction under Article 9 of the EU CBAM. It finds that 100% free allocation in the pil…
Laurence L. Delina, Leslie Anne L. Yasis
Firms under identical ESG reporting requirements vary in how they 'speak' the Social pillar. This study introduces 'disclosure posture' as the balance between quantitative and qualitative Social disclosures, analyzing 28 firm-year observati…
Hongjun Tan, Xueqing Yang, Xuanyu LIU +6
This study evaluates three hydrogel-based passive cooling configurations across 2,539 utility-scale PV sites in China. The water-supply hydrogel cooling achieves average temperature reductions up to 7.28°C, equivalent capacity gain of 26.83…
Bilal M, Latif F, Hasnain M +3
This paper systematically reviews the role of machine learning (ML) in designing Metal-Organic Frameworks (MOFs) for CO2 capture. It evaluates the latest models across four key areas: process-level application, mechanistic interpretable mod…
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