GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
PreprintZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Auditable Intelligence for Sustainable and Fair E-Commerce: A Governance Framework for Packaging, Circular Logistics, Accessibility, and ESG Disclosure
Alistair Vance, Sora Tanaka, Mateo Benitez
This paper proposes an auditable governance framework for sustainable and fair e-commerce using AI. It integrates packaging waste, last-mile emissions, return rates, accessibility, and ESG disclosure into four layers: material circularity, …
Preprint🌍 GlobalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Auditable Intelligence for Sustainable and Fair E-Commerce: A Governance Framework for Packaging, Circular Logistics, Accessibility, and ESG Disclosure
Alistair Vance, Sora Tanaka, Mateo Benitez
This paper proposes a four-layer governance framework for sustainable e-commerce, using AI as an auditable decision-support layer for packaging waste, last-mile emissions, high return rates, accessibility, and ESG disclosure. The layers cov…
Peer-reviewedJournal2026#AI × ESGDOI
Auditable Intelligence for Sustainable and Fair E-Commerce: A Governance Framework for Packaging, Circular Logistics, Accessibility, and ESG Disclosure
Alistair Vance, Sora Tanaka, Mateo Benítez +1
This paper proposes a governance framework for sustainable and fair e-commerce, integrating packaging, circular logistics, accessibility, and ESG disclosure with auditable intelligence (AI).
Peer-reviewedCNJournalSustainability2026#AI × ESGDOI
ESG Rating Disagreement as a Greenwashing Signal: Asymmetric Effects of Digital Transformation Through Disclosure and Performance Channels
İsmail Öğütçen, Ümit Yılmaz
This study examines whether ESG rating disagreement predicts corporate greenwashing and how digital transformation (DTI) moderates this via disclosure and performance channels. Using 8,111 firm-year observations of Chinese A-share companies…
PreprintPreprints.org2026#AI × ESGDOI
ESG Disclosure and Corporate Tax Avoidance: The Roles of State Ownership and Financial Constraints in Vietnam
Hieu Thanh Nguyen, Hoa Minh Pham, Anh Thao Nguyen +1
This study examines the relationship between ESG disclosure and corporate tax avoidance among Vietnamese non-financial listed firms (2020-2024). Using panel data regression and machine learning models, it finds that ESG disclosure reduces t…
Journal2026#AI × ESGDOI
IIoT and Digital Twin Technologies to Improve Energy Efficiency and Lower Carbon Footprint
Thirunavukarasu Suryalakshmi, Gurumoorthy Yohanandhan Rajaa Vikhram
This paper proposes a method combining IIoT and digital twin technologies with machine learning (k-means clustering and anomaly detection) to improve industrial energy efficiency. Applied to air leak detection, it achieves 6.22 kWh/day ener…
Peer-reviewed🇨🇳 ChinaJournalApplied Sciences2026#AI × ESGDOI
Low-Carbon Urban Freight Optimization: Per-Order Adaptive Mode Mixing with Demonstration-Regularized Constrained Reinforcement Learning
Shukang Zheng, Genhua Ma, H Yang +2
This paper addresses decarbonization of urban last-mile delivery by proposing a demonstration-regularized Lagrangian deep RL algorithm for multimodal systems (road vehicles, off-peak metro freight, electric drones). The approach models the …
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
ENVIRONMENTAL IMPACT AND MITIGATION APPROACHES IN LIVESTOCK PRODUCTION SYSTEMS
*Pramod Prabhakar1 and Rajesh Kumar2 *Pramod Prabhakar1 and Rajesh Kumar2
Livestock systems have significant environmental impacts including GHG emissions and water pollution. This review summarizes mitigation approaches such as AI and IoT monitoring, precision feeding, biogas recovery, and genetic improvements. …
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
ENVIRONMENTAL IMPACT AND MITIGATION APPROACHES IN LIVESTOCK PRODUCTION SYSTEMS
*Pramod Prabhakar1 and Rajesh Kumar2 *Pramod Prabhakar1 and Rajesh Kumar2
This review comprehensively summarizes environmental impacts of livestock systems (GHG emissions, water pollution, biodiversity loss) and mitigation technologies such as precision feeding, anaerobic digestion, AI, and IoT. It highlights the…
PreprintFinance and Credit2025#AI × ESGDOI
Analysis of the social aspect of ESG in domestic companies: Industry perspective
Elena A. FEDOROVA, Anzhelika A. KOVALEVA, Lyudmila I. CHERNIKOVA
This paper applies LDA topic modeling to Russian companies' non-financial reports to construct an industry-standardized social (S) index. It identifies industry differences in social disclosure and the influence of specific topics on market…
Preprint🌍 GlobalAcademic Journal of Science and Technology2026#AI × ESGDOI
From Text Analysis to Metrics: AI Approaches to ESG Assessment
Qianxing Chen
This paper traces the evolution of AI models for ESG assessment, from topic models to domain-adaptive Transformers and retrieval-augmented language models. It focuses on multi-label phrase annotation from news, earnings calls, and reports, …
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
ESG Factor Management Using News Text
ニューステキストを用いたESGファクター運用
(著者不明)
This paper proposes a method to construct and manage ESG factors using news text data. It explores the use of natural language processing to extract ESG-related information for investment decisions.
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Efficient method for acquiring ESG information from corporate websites using machine learning
機械学習を用いた企業HPからのESG情報の効率的取得方法
(著者不明)
This paper proposes an efficient method for extracting ESG information from corporate websites using machine learning. It reduces cost and time compared to manual collection. The method leverages natural language processing and text classif…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Research on ESG evaluation and corporate value using statistical causal inference
統計的因果推論を用いたESG評価と企業価値の研究
(著者不明)
This paper applies statistical causal inference to analyze the causal effect of ESG evaluation on corporate value. It examines whether improvements in ESG scores truly enhance firm value, assessing the effectiveness of ESG investing.
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
ESG Evaluation Using Large Language Models
大規模言語モデルを活用したESG評価
(著者不明)
Proposes and validates ESG evaluation using large language models. Automatically computes ESG scores from corporate disclosures and news, comparing efficiency and accuracy with traditional methods. Contributes to automation and sophisticati…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
ESG Information Extraction from Integrated Reports Using LLM
LLMを用いた統合報告書からのESG情報抽出
(著者不明)
This paper proposes a method to automatically extract ESG-related information from integrated reports using large language models (LLMs). It enables efficient analysis of corporate disclosure data for ESG scoring and evaluation. The approac…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Automatic extraction of ESG-related information from integrated reports
統合報告書からのESG関連情報の自動抽出
(著者不明)
This paper proposes a method for automatically extracting ESG-related information from integrated reports. It leverages natural language processing and machine learning to efficiently collect and analyze corporate disclosure data, supportin…
Peer-reviewed🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Time series analysis of CEO messages using cosine similarity - Targeting major real estate developers -
コサイン類似度を用いた CEO メッセージの時系列分析-大手不動産デベロッパーを対象として-
(著者不明)
This study applies cosine similarity to analyze the time series of CEO messages from major real estate developers, capturing shifts in management discourse.
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Automatic evaluation of integrated reports considering interpretability
解釈性を考慮した統合報告書の自動評価
(著者不明)
This paper proposes an automatic evaluation method for integrated reports that incorporates interpretability. Using AI to analyze report content, it enhances transparency of assessment, aiming to improve the quality of corporate ESG disclos…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Attempt to Extract Capital Conversion Information from Integrated Report Text Using BERT-based Multi-label Classification with Intensity
BERTを用いた強度付きマルチラベル分類による統合報告書テキストからの資本変換情報抽出の試み
(著者不明)
This paper proposes a method to extract capital conversion information from integrated reports using BERT-based multi-label classification with intensity. It automatically identifies conversions among the six capitals and assesses their int…