GX Research Hub · English
GX & Decarbonization Research
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.
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalCorporate Social Responsibility and Environmental Management2026#AI × ESGDOI
Do Firms Disclose Financially Material
ESG
Risks? Evidence From Japanese Food and Beverage Firms Using a Text Match Pretrained Transformer
Si-Yu Shen, Chao Li, Jun Xie +3
This study builds a financial-materiality-oriented ESG disclosure measure, applying a Text Match Pretrained Transformer (TMPT) to Japanese Annual Securities Reports of listed food and beverage firms (2020-2024) and SASB industry material to…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
AI-based ESG Evaluation and Risk
AIによるESG評価とリスク
(著者不明)
This paper addresses AI-based ESG evaluation and risk analysis. Although details are unavailable, it focuses on the intersection of AI and ESG, applicable to corporate sustainability assessment and climate risk quantification.
🇯🇵→🌍 Japan-to-Global🇯🇵 JapanDatasetZenodo2026#AI × ESGDOI
gxceed GX Disclosure Dataset v0.3 (2026Q3)
Kokubu, Hiroyuki
A quarterly snapshot of GX disclosure metrics machine-extracted from integrated reports and sustainability reports of TSE Prime-listed companies. Covers Scope 1/2/3 emissions, SBT status, TCFD disclosure, CDP score, renewable ratio, interna…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalAdministrative Sciences2026#AI × ESGDOI
Empirically Testing the Relationship Between Natural Capital and Corporate Performance Using CDP Scores
Shoichiro Hosomi, Soichiro Yamamoto
This study examines the association between CDP scores (climate change, water security, forests) and firm value (Tobin's Q) and profitability (ROA, ROE) using panel data of Japanese manufacturing firms from 2018 to 2023. Results show that t…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalSensors2026#AI × ESGDOI
A Multi-Sensor Machine Learning Framework Integrating UAV Multispectral Imagery and LiDAR Data for Living Biomass Carbon Stock Estimation in Silviculturally Treated Forests
Nyo Me Htun, Toshiaki Owari, Satoshi Suzuki +11
This study develops a multi-sensor machine learning framework integrating UAV multispectral imagery and LiDAR data to estimate living biomass carbon stocks in managed forests in Hokkaido, Japan. XGBoost achieved the highest accuracy (R2=0.8…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalTHE KOREAN TAX ASSOCIATION2026#AI × ESGDOI
Does ESG Affect Tax Avoidance? A Re－examination of the Relationship between ESG and Tax Avoidance Using Machine Learning
M. Kim, J. Yoo
This study re-examines the conflicting findings on ESG and tax avoidance, attributing them to methodological issues: measurement differences, ESG index heterogeneity, and endogeneity. Using random forest and double machine learning, it show…
🇯🇵→🌍 Japan-to-Global🇯🇵 JapanReport神戸大学経営学研究科 ディスカッション・ペーパー2026#AI × ESG
Survey findings on the use of AI support tools in responding to ESG/sustainability questionnaires
ESG/サステナビリティ質問票対応におけるAI支援ツール活用に関する調査結果
中尾 悠利子 中園 宏幸 石野 亜耶
This survey explores how companies utilize AI support tools when responding to ESG/sustainability questionnaires (e.g., CDP, EcoVadis), clarifying current practices and challenges. It also examines the benefits of AI adoption and future pro…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Residential energy performance evaluation using feature importance analysis based on HEMS data
HEMSデータに基づく特徴量重要度分析を用いた住宅エネルギー性能評価
(著者不明)
This paper proposes a method to evaluate residential energy performance using feature importance analysis based on HEMS (Home Energy Management System) data. By analyzing energy consumption patterns, it identifies effective energy-saving me…
🇯🇵→🌍 Japan-to-Global🇯🇵 JapanDatasetZenodo2026#AI × ESGDOI
gxceed GX Disclosure Dataset v0.1 (2026Q3)
Kokubu, Hiroyuki
A quarterly snapshot of GX disclosure metrics machine-extracted from integrated reports of TSE Prime-listed companies using AI. Covers Scope 1/2/3, SBT, TCFD, CDP, renewable ratio, internal carbon price, and purchased carbon credits. This v…
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🇯🇵→🌍 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…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Automatic extraction and classification of entrepreneurial function expressions in integrated report top messages
統合報告書トップメッセージにおける企業家機能表現の自動抽出・分類
(著者不明)
This paper proposes a method to automatically extract and classify entrepreneurial function expressions in top messages of integrated reports using natural language processing. It contributes to improving transparency of corporate disclosur…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Method for constructing an evaluation model of integrated reports using text mining
テキストマイニングを用いた統合報告書の評価モデルの構築法
(著者不明)
This paper proposes a method for constructing an evaluation model of integrated reports using text mining. It enables quantitative assessment of report quality, aiding companies in improving their disclosures.
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#AI × ESGDOI
Estimation of ESG-related pages in integrated reports using machine learning
機械学習を用いた統合報告書のESG 関連ページの推定
(著者不明)
This paper proposes a machine learning method to automatically identify ESG-related pages in integrated reports. Using NLP-based text classification, it enables efficient extraction of disclosure information.
