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.
Peer-reviewedJournalCorporate Social Responsibility and Environmental Management2026#AI × ESGDOI
Beyond Symbolism: Examining the Impact of Sustainable Finance on Product Responsibility and the Moderating Role of Board Environmental Expertise—Evidence From
UK
Non‐Financial Firms
B. Gyamfi, Richard Arhinful, Leviticus Mensah +2
Using data from 143 UK non-financial firms (2008-2024), this study applies CS-ARDL, FGLS, and GMM to show that sustainable finance (environmental expenditures, emission reduction policies, green bond issuance) positively impacts product res…
Peer-reviewed🌍 GlobalJournalJournal of Intelligent Decision Making and Granular Computing2026#AI × ESGDOI
ESG Content Intensity and Sustainability Report Timeliness
Abdullah Kursat Merter, Beylem Çeli̇k, Gökhan Özer
This study examines the relationship between ESG content intensity and disclosure speed using a panel of BIST Sustainability Index firms (2014-2023). BERT-based text analysis measures ESG intensity, and fixed-effects regressions show that h…
Peer-reviewedJournalKorean Accounting Information Association2026#AI × ESGDOI
A Study on ESG Disclosure Practices and Standardization : Focusing on the Similarity and Completeness of Sustainability Reports
S. Shin, Seon-Mi Kim, Seung-Weon Yoo
This study uses text mining to analyze sustainability reports of Korean listed firms, quantitatively assessing ESG disclosure similarity and completeness. Similarity declined over time but rose in 2023 due to postponed mandatory disclosure.…
Preprint🇪🇺 EuropePreprints.org2026#AI × ESGDOI
Generative-AI Decision-Support and Optimisation Framework for Sustainable Logistics Resilience in Industrial Supply Chains – Example of Special-Purpose Mining Shaft Hoist Ropes
Marek R. Helinski
This paper presents a generative-AI decision-support framework that optimizes sustainable logistics by integrating EU policy variables (CBAM, EU ETS for maritime, FuelEU, Digital Product Passport, CSRD) into planning equations. Using genera…
JournalAdvances in computational intelligence and robotics book series2025#AI × ESGDOI
Harnessing Artificial Intelligence for the Renaissance of Sustainable Supply Chains
R. Purushothaman, R. Alamelu, Sathya Manickam +2
This chapter examines how AI and emerging technologies reshape sustainable supply chains amid ESG goals and tighter regulations. It covers AI-driven design and inventory optimization to cut waste and emissions, plus blockchain for transpare…
Peer-reviewed🇪🇺 EuropeJournalFood Science and Technology2022#AI × ESGDOI
Reporting food service emissions
(著者不明)
This article presents Nutritics' AI-based technology that automatically matches food items to lifecycle inventory carbon and water data, enabling food service companies to measure and report Scope 3 emissions. It highlights the current lack…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2023#AI × ESGDOI
Optimizing Scope 3 Carbon Emission Reduction Strategies in Tier-2 Supplier Networks Using Lifecycle Assessment and Multi-Objective Genetic Algorithms
Bamidele Samuel Adelusi, Abel Chukwuemeke Uzoka, Yewande Goodness Hassan +1
Scope 3 emissions are hardest to manage across Tier-2 supplier networks. This study combines LCA with multi-objective genetic algorithms to find Pareto-efficient strategies balancing carbon reduction, compliance cost, and operational contin…
Journal2025#AI × ESGDOI
Real-Time Carbon Footprint Monitoring and Predictive Reporting Cloud Solutions for Sustainability
Harish Narne
This paper proposes a cloud-based system that uses AI, IoT sensors, and big data analytics to monitor carbon footprints in real time and generate predictive reports. The scalable infrastructure enables continuous observation of inter-indust…
Peer-reviewed🇨🇳 ChinaJournalINTI JOURNAL.2025#AI × ESGDOI
Artificial Intelligence Empowers Sustainable Supply Chains
X.F. Wang
This paper examines how AI can empower sustainable supply chains, addressing efficiency-environmental protection-equity challenges. It identifies key AI capabilities such as demand forecasting, logistics optimization, risk management, suppl…
Peer-reviewedCNJournalScience and Technology for Energy Transition2024#AI × ESGDOI
The energy effect of blockchain technology innovation in the Industry 5.0 Era: From the perspective of carbon emissions
Yunjing Wang, Jinfang Tian, Siyang Sun +2
Using LLM and text analysis of Chinese listed firms' blockchain patents (2010–2022), this study shows that blockchain innovation reduces fossil energy intensity. Mechanisms include lower internal control costs, stronger external oversight, …
Peer-reviewedJournalEnvironmental Research Letters2020#AI × ESGDOI
A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities
Andreas Froemelt, Thomas Wiedmann
This study employs a two-stage clustering approach (Self-Organising Map and Ward clustering) to analyze household consumption patterns and lifestyle carbon footprints in Sydney and Melbourne. By combining expenditure data with socio-economi…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2023#AI × ESGDOI
Comprehensive Evaluation Model for Improving Carbon Accounting Accuracy in Corporate Sustainability Programs
Azeez Lamidi Olamide, Omolola Badmus
This study proposes a comprehensive evaluation model to improve carbon accounting accuracy across Scope 1, 2, and 3. It integrates machine-learning anomaly detection, uncertainty quantification, and materiality assessment, aligning with GHG…
Preprint🇨🇳 China2024#AI × ESG
New Applications of Smart Meters in Carbon Emissions Trading and Energy Conservation and Carbon Emission Reduction Activities
ZHANG Chunhui^1^ ZHANG Zhen^2^
This paper examines the power generation sector, the first to launch domestic carbon emissions trading. It presents management measures and implementation schemes for emissions trading, highlighting the role of smart meters in emissions acc…
Preprint🇨🇳 China2024#AI × ESG
Policy & Management Research
Wei Yigang, Shi Jiawei, Xu Guannan
This study analyzes 1,743 low-carbon policies issued in China from 2000 to 2021 using text mining and policy econometrics within a framework of 'policy objectives—policy themes—policy fluctuations.' It systematically reviews the development…
Peer-reviewedJournalSustainability2026#AI × ESGDOI
Project-Level Embodied Carbon Prediction Across Building Design Stages Using a Machine Learning Framework
Zihang Wang, Ling Zhang, Mengmeng Pu
This study develops a machine learning framework to predict project-level embodied carbon emissions in buildings across design stages, using data from 78 projects (426 buildings). The residual-corrected weighted ensemble model achieved the …
2026 IEEE Cloud Summit2026#AI × ESGDOI
COSMOS-R2: Artificial Intelligence–Driven Risk-Bounded Carbon-Constrained Autonomous Cloud Scaling via CMDP Control
Sadhasivam Mohanadas, Leela Prasad Gorrepati
COSMOS-R2 proposes an AI-driven autonomous cloud scaling method using Constrained MDP control, enforcing risk bounds and carbon caps while optimizing resource allocation. It addresses the trade-off between carbon emissions, performance, and…
Peer-reviewedJournalUluslararası İktisadi ve İdari İncelemeler Dergisi2026#AI × ESGDOI
A MACHINE LEARNING APPROACH BASED ON SYNTHETIC DATA FOR ESTIMATING CARBON FOOTPRINT IN LOGISTICS PROCESSES
Bora ÖÇAL
This study estimates carbon footprints in logistics using machine learning on synthetic data generated from variables such as distance, cargo weight, and transport mode. Six algorithms were compared; XGBoost achieved the best performance (R…
Peer-reviewedConferenceSmart Innovation Systems and Technologies2026#AI × ESGDOI
A Sustainability Decision Assistant for Industrial Net Zero Pathways: Application at Unipart Manufacturing
Ahmadinia M.
Reports a practical application of a sustainability decision assistant for industrial net zero pathways, demonstrated at Unipart Manufacturing. The tool likely employs AI/ML to help manufacturers evaluate and implement decarbonization optio…
Peer-reviewedConference2023 SIAM International Conference on Data Mining Sdm 20232023#AI × ESGDOI
Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles
Yang M.
This paper examines how data mining techniques applied to electrified vehicles can support net zero carbon emission targets. It reviews the challenges and opportunities in using data analytics for EV energy management, charging infrastructu…
Peer-reviewedJournalCreative Economy2026#AI × ESGDOI
Artificial Intelligence in ESG Disclosure and Sustainable Finance: From Narrative Reporting to Data-Driven Transparency
Zheng Zhi, Guoqing Chen
This paper examines the role of artificial intelligence in ESG disclosure and sustainable finance, arguing for a shift from narrative reporting to data-driven transparency. It highlights how AI can automate extraction, analysis, and reporti…