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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
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Showing 19941–19960 of 37113 papers

Preprint🇯🇵→🌍 Japan-to-Global🇯🇵 JapanKorean Accounting Information Association2026#ESGDOI

Correcting Market Mispricing of Accounting Information : The Role of ESG Report

Su-Young Choi, Heejeong Shin

This study empirically analyzes whether ESG ratings mitigate market underreaction to financial information in corporate valuation. Results show that underreaction is alleviated for firms disclosing ESG information, especially those with hig…

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Peer-reviewed🇯🇵 JapanJournalJ-STAGE#Supply ChainDOI

Analysis of the Relationship between Sustainable Supply Chain Management and Corporate Financial Information

サステナブルサプライチェーンマネジメントと経営財務情報との関係分析

(著者不明)

This paper analyzes the relationship between sustainable supply chain management (SSCM) and corporate financial information. It likely examines the impact of SSCM practices on financial performance and proposes indicators for supplier evalu…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJ-STAGE#Transition FinanceDOI

Attribute Analysis of Companies Issuing Bonds for Environmental and Social Issues

環境・社会課題の解決を目的とした債券を発行する会社の属性分析

(著者不明)

This paper analyzes the attributes of companies that issue bonds aimed at solving environmental and social issues (e.g., green bonds). It clarifies issuer characteristics such as size, industry, and financial profile, providing foundational…

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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…

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#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other