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 141–160 of 1673 papers
*
The paper introduces CMP-DSTCL, a deep-learning model that forecasts corporate green innovation (green patents) by fusing ESG disclosure text with mechanism-typed signed interfirm graphs. It adds a greenwashing contrast loss, an edge-mechan…
Mutmainah _, Melinda Wijaya
Panel fixed-effects study of Indonesian and Malaysian Islamic commercial banks (2021–2025) testing whether disclosed AI capability improves ESG disclosure quality, reduces greenwashing, and lifts sustainability performance. AI is positively…
Hugo Prasetyo Winotoatmojo, Meiryani Meiryani, Bambang Leo Handoko +1
Using a balanced panel of 1,230 bank-year observations across 205 banks in 10 Southeast Asian countries (2020–2025), this study examines links between AI disclosure, ESG performance, and Tobin's Q. AI disclosure is positively associated wit…
Thing-Yuan Chang, Chien-Chih Chen, Chin-Hsien Hsu +2
A GMM-based framework routes reference foods to outcome-specialized regressors (KNN, random forest, XGBoost) using predictor-space neighbors, trained on ~472k observations linking multilingual LEAF names to AGRIBALYSE 3.1.1 climate values a…
Tin-Yu Wu, Chu‐Fu Wang, Wei-Che Chien +2
Proposes a Deep Q-network reinforcement learning mechanism that dynamically adjusts routing to reduce carbon footprint. The AI optimizes emission-aware route selection, targeting logistics decarbonization. Detailed results are unavailable a…
Yi Yang
This paper proposes a framework combining multimodal remote sensing, LiDAR point clouds, and domain large language models to integrate 3D urban green-space assessment with full-life-cycle carbon accounting for landscape engineering. It desi…
Funmilayo C. Jayeola, Masengo Ilunga
This PRISMA-based systematic and bibliometric review of Scopus literature (2015–2026) maps how AI and explainable AI (XAI) are used to assess embodied carbon (EC) and decarbonize building materials. Research surged after 2023, with ML metho…
Zhu J.
An empirical study forecasting Chinese corporate green bond issuance using ESG scores and tree-based machine learning models. It tests whether ESG ratings serve as a predictive factor for green bond issuance, highlighting the value of ESG d…
Jiang Y.
This study builds and empirically tests a machine-learning-based risk assessment model for green finance. It offers a data-driven approach to quantifying risks in green lending and investment. Though the abstract is unavailable, the work si…
Yim T.Y.
This work proposes an AI-powered framework for analyzing TCFD climate disclosures. It aims to enhance transparency and trust, helping investors and regulators compare and verify disclosure quality. The approach advances automated, higher-qu…
Hairin Nisa Meor Nordin, Zamri Miskan, Anis Shafiqah Mohd Saidun +2
Using RBV and dynamic capabilities theory, this study tests how AI-driven operational integration affects environmental performance through case studies of Unilever, Amazon, and Tesla. It reports 64% logistics CO₂ cuts via predictive load p…
Aditya Ravindra Pawar, A. Zuting, Arjun Dhanjay Shedage +2
Proposes an ML framework to classify construction material combinations into carbon-impact categories, targeting embodied carbon in large residential projects. Using 520 scenarios built from ICE carbon-intensity data and Pune, India constru…
Mariem Mrad, M. Frikha
A systematic scoping review of 23 Scopus studies (2013–2024) on AI and robotics for low-carbon supply chains. AI-driven logistics optimization is the most reported transport-emission strategy, while robotic automation improves warehousing e…
Chang Shu, Xiao Kang
This repository provides Python code for constructing and validating an Employee Welfare Semantic Score (EWS) using transformer-based semantic embeddings, cosine similarity, and top-K aggregation. It also implements OLS regression, two-way …
Chanjuan Zhang, Yuee Guo
This work builds a neural-network-based risk assessment model for low-carbon project financing and discusses its application. It targets quantitative evaluation of credit and project risk in financing decarbonization projects. With no abstr…
Chua Shang Hu, Dr Chua Chong Keow
This paper proposes a Malaysia-specific framework linking AI-enabled ESG reporting to profitability, firm value, and cost of capital. It treats AI capability as a multidimensional reporting construct (automated capture, analytics, assurance…
Sandhya Rani, Rukmini Mythili
This study examines integrating AI into ESG reporting, focusing on India's BRSR framework. It argues traditional reporting is data-heavy, slow and error-prone, and that AI can mitigate these challenges across ESG frameworks. Using secondary…
A. Rahmath Nisha, V. S. Deepthi, M. Ashwin Kumar
This book chapter examines how AI can accelerate sustainability transitions and green innovation systems for climate action. It surveys AI applications across energy optimization, climate modelling, sustainable agriculture, circular economy…
Douthat, Thomas, Valladares-Castellanos, Mariam, Mukhopadhyay, Supratik
This dataset and supplementary code support a graph-based geospatial resource integrating multiple data sources for AI-driven CO₂ storage site selection. It organizes geological, environmental, infrastructural, and socio-economic data into …
Nainesh Patel
This paper examines how AI can strengthen transparency and accountability in CSR, addressing greenwashing, inconsistent metrics, and self-interested point-in-time assurance. Based on a structured review of 2011–2024 literature and instituti…
Browse by Topic