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 1–20 of 1232 papers
Mikko Vesterinen, Kirsi Knuuttila
A practical guidebook from the Interreg NPA Sustainable SMEs project. It shows how small and medium enterprises can use generative AI to ease the burden of producing voluntary sustainability reports and engage with reporting frameworks.
Brandon Seichal
A master's dissertation integrating ESG disclosures alongside financial ratios into corporate early-warning (distress prediction) models. Using logistic regression, random forest, and SHAP interpretability, it tests whether ESG information …
Oualid Yahia, Alaa Eddine Mazouz, Van-Tam Nguyen +1
This study downscales Sentinel-5P TROPOMI methane and CO2 data to 250m resolution by fusing MODIS, Sentinel-2 and ERA5 inputs with four ML regressors, validated against 12 TCCON stations. XGBoost performed best (XCH4 R²=0.85; XCO2 R²=0.89).…
Snehal Yadav Pradnya Thombare, Payal Shendage Sharvari Yevale
Proposes an AI-based carbon footprint calculator that estimates individual and organizational CO2 emissions from user inputs such as electricity use, transport, diet, and lifestyle. It combines emission factors with intelligent analysis to …
魏通
A structured critical review of 121 sources on AI in climate policy, tracing why information production rarely translates into policy action and outcomes. Validation is task-specific across emissions monitoring, targeting, carbon markets an…
A. Oehler, Charlotte Neuss, Matthias Horn
This study tests whether ChatGPT can reliably evaluate sustainability disclosures in annual reports. It finds that LLM-based evaluations still carry reliability and reproducibility problems, cautioning against uncritical use in practice. Hu…
Xinning Song, Yarong Liu, Guanjie Cao +1
Using DeepSeek LLM to classify sentence-level supply chain ESG statements in Chinese A-share firms' ESG reports (2016–2024) as substantive vs. rhetorical, the study builds a substantive disclosure (SSD) index. SSD is positively associated w…
Samriti Mahajan
This paper proposes a Digital Sustainability Integration Model (DSIM) linking green-by-design digital infrastructure, AI-enabled sustainability reporting, forensic assurance, and inclusive governance. It argues digitalization cannot be judg…
Xue Lei, Jian Xu, Shanshan Yue +1
A review of 1,369 Web of Science articles (2015–2025) combining bibliometric mapping and topic modeling to trace links among climate risk, green finance, and corporate low-carbon transformation. Output surged after 2021, much from China. Ab…
Bui HT, Lee E, Evans MC
CarbonCrediBERT is an expert-guided NLP framework that classifies report paragraphs by carbon credit relevance, sentiment, and reported credit use, routing uncertain cases to human review. Using ASX100 annual, climate, sustainability and ES…
Llopis-Garcia, Guillermo
SAEF v3.1 provides kg CO2e and water factors per million tokens for commercial and self-hosted LLMs by model class and region. It uses a four-term lifecycle boundary (electricity, embodied hardware, construction, training) across 210 countr…
Koasidis, Konstantinos, Xexakis, Georgios, Frilingou, Natasha +2
This study compares evaluations of 14 game-changing climate innovations by 260 global experts against LLM-generated personas from ChatGPT, Gemini, and Claude, prompted with matching occupational, geographic, and gender traits. LLMs showed f…
Hira Sarfraz, Shakir Majeed Khan, Saadia Bakhtawar +1
This study surveys 300 finance professionals to examine how FinTech-enabled climate intelligence—leveraging AI, big data, and climate-risk assessment—shapes sustainable investment decisions and green capital allocation. Climate intelligence…
Jiu-Hong Yu
Proposes an integrated carbon accounting and optimization framework for the polysilicon industry using big data and graph neural networks. A multilayered carbon accounting model links procurement, operations, and distribution, while a dynam…
Jie-Qiong Li
As sustainable finance expands in China, ESG risk management has become central to financial institutions' compliance and green credit control. This paper argues that fintech—big data, blockchain, and AI—can enable quantitative assessment, …
Diksha Garg, N. Dhiman, Harshman Kaur +1
Proposes a machine-learning approach to forecast carbon-credit generation in voluntary carbon markets on a scope basis. Scope-level supply forecasting could support corporate credit procurement planning and market supply-demand assessment. …
Pooja Hiremath, Smita P. Nadiger, Anushree D. Kini
A qualitative thematic analysis of 55 Scopus-indexed articles using atlas.ti, examining how AI capabilities shape ESG reporting and sustainable finance. It identifies five themes—AI capabilities, ESG data quality, reporting transparency, et…
Niclas Brune, Miriam Gräf, Philipp Walter +1
This action design research study develops and iteratively refines a GenAI-enabled sustainability reporting assistant for SMEs and evaluates it across organizational cases. Findings show GenAI supports sensemaking by structuring information…
Linda Kusumaning Wedari, Aryo Bismo, Elsa Anggreni +3
Supplementary dataset supporting an audit of an AI sustainability-reporting platform's early commercialization readiness. It contains extracted quantitative values, evidence grades, reconstructed feasibility scores, sensitivity analyses, DV…
Zhihao Xu, Haoyang Li, 彭颂先 +3
Proposes accounting-guided data augmentation with component-wise LightGBM to predict cradle-to-gate carbon footprints of LFP and NMC811 pouch cells. Expanding published inventories via ±10% perturbations, zero-input samples, and scaling yie…
Browse by Topic