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.
JournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Artificial Intelligence and Its Impact on Environment and Climate Change: A Comprehensive Review of Environmental Footprints, Mitigation Strategies, and Sustainable Pathways
Hadia Arshad
This review comprehensively analyzes AI's environmental footprint (energy, water, carbon, e-waste, rare earths) and its climate mitigation potential. Data center electricity reached 415-470 TWh in 2024-25, with AI workloads projected to rea…
JournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
The AI–Nature Reciprocity Gate: Local and Seasonal Certification of Data-Centre Water Replenishment through Nature-Based Solutions
Tony Newton
This paper addresses the paradox that AI systems providing ecosystem services also consume water through their infrastructure. It proposes the AI–Nature Reciprocity Gate, a local, seasonal, full-scope standard to verify whether nature-based…
Peer-reviewedJournalTourism Analysis2026#AI × ESGDOI
Digital Pathways to Low-Emission Tourism: AI and Blockchain for Carbon Market Integration in India
Nisha Shankar, K. Sagar
Proposes a framework integrating AI and blockchain for carbon credit trading tailored to Indian tourism firms. Introduces the Emission Reduction Progress Factor, uses Entropy Optimal Transport for P2P trading, and particle swarm optimizatio…
DatasetZenodo2026#AI × ESGDOI
An intelligent emergency decision-support system integrating conflict-aware Dempster--Shafer fusion and cost-sensitive case-based retrieval for transnational renewable energy projects under information scarcity
Xie, Tengyue
An intelligent emergency decision-support system for transnational renewable energy projects is proposed. It fuses structured and textual evidence via conflict-aware Dempster-Shafer and uses cost-sensitive case-based retrieval to diagnose r…
Peer-reviewed🌍 GlobalJournalCalifornia Digital Library2026#AI × ESGDOI
Drivers and Barriers to Sustainability reporting of firms listed on the Ghana Stock Exchange
Michael Addai
This study investigates AI adoption as a driver of sustainability reporting among Ghana Stock Exchange-listed firms. It explores how AI transforms reporting practices, highlighting challenges and opportunities for disclosure in an emerging …
Peer-reviewedJournalResources2026#AI × ESGDOI
A Renewable-Energy Resource Management Framework for Low-Carbon Network-Level Pavement Maintenance Using Simulation-Based Pavement–Energy Modeling and Multi-Agent Deep Reinforcement Learning
Nawal Louzi, Mohammad Q. Al-Jamal, Mahmoud AlJamal +2
This study proposes a framework integrating AnyLogic simulation and graph-based multi-agent deep reinforcement learning (Graph-MAPPO) to optimize pavement maintenance for carbon reduction and renewable energy use. It manages pavement condit…
Conference2026 International Conference on Computing Theory and Wireless Communications (ICCTWC)2026#AI × ESGDOI
Residential Construction Carbon Reduction Using Multilayer Perceptron and Renewable Energy Integration
Dr. Ayalapogu Ratna Raju, T. Akila, Dr.K Umapathy +3
This study proposes a data-centric framework using a Multilayer Perceptron (MLP) to predict carbon emission reduction potential across the lifecycle of residential buildings. Analyzing 1,640 projects, the model classifies reduction levels w…
Peer-reviewed🌍 GlobalJournalApplied Sciences2026#AI × ESGDOI
Assessment of Carbon Dynamics Using Remote Sensing, Machine Learning, and Cellular Automata in a Semi-Arid Region
Vincenzo Barrile, Emanuela Genovese, Clemente Maesano +2
This study integrates machine learning, remote sensing, and ecosystem modeling to assess carbon dynamics in a semi-arid region of Tunisia. It maps land use/land cover, estimates carbon stocks and emissions using InVEST, and simulates future…
Peer-reviewedJournalUMYU Journal of Accounting and Finance Research2026#AI × ESGDOI
Moderating Role of Cloud Accounting on Robust Audit Quality and Sustainability Disclosure: A Proposed Model
Musa Lefagana, H. Suleiman
This study proposes a conceptual model where cloud accounting moderates the relationship between audit quality and sustainability disclosure. It identifies five audit quality dimensions (anomaly detection, cost efficiency, risk assessment, …
Peer-reviewedJournalJournal of Advances in Developmental Research2026#AI × ESGDOI
Artificial Intelligence in ESG Reporting: Transforming Corporate Sustainability Practices
J. Chinna
This study analyzes the impact of AI on ESG reporting from 2019 to 2025, showing adoption surged from 15% to 63%. AI evolved from basic data collection to machine learning, NLP, and generative AI, improving transparency, accuracy, and timel…
Peer-reviewedCNJournalInternational Journal of Climate Change Strategies and Management2026#AI × ESGDOI
Digitize to decarbonize: Digital-real integration provides the green development pathway for corporate operation
Bochen Zhang, H. Huang, Zhili Han +1
This paper empirically analyzes the impact of digital-real integration (DRI) on green total factor productivity (GTFP) using panel data from Chinese industrial enterprises. Fixed-effects and mediation analyses show that DRI significantly im…
Peer-reviewedCNJournalAdvances in Information Management and Economic Development Research2026#AI × ESGDOI
Research on the Risk Contagion and Governance Mechanism of Capital Chain Rupture in China's Construction Industry
Yuxuan Guo, Linxin Yin, Ruihan Xiong +2
This study addresses the severe risk of capital chain rupture in China's construction industry, focusing on vulnerable subcontractors. It proposes an AI-assisted risk control platform and innovative insurance products, using gradient boosti…
Peer-reviewedJournalChemRxiv2026#AI × ESGDOI
Explainable Machine Learning for Low-Emission Methane Tri-Reforming: Carbon Formation, Hydrogen Production, and Operating-Window Optimization
Zahra Yaghoubi, Mahyar Mansouri, Hosein Alimardani +2
This study applies explainable machine learning to optimize methane tri-reforming (TRM) for low-emission hydrogen production and CO2 utilization. Using 46,464 equilibrium data points, a neural network achieved the best predictive performanc…
Peer-reviewedJournalPeerJ Computer Science2026#AI × ESGDOI
Improved greenhouse segmentation
via
YOLOv8 and segment anything model for energy and hydrogen demand forecasting
Jiyoung Ko, Yong-Woon Kim, Y. Byun
This study proposes a deep learning framework for accurate greenhouse detection and segmentation from high-resolution aerial images. By integrating class-weighted loss and class-aware sampling into YOLOv8, it achieved [email protected]:0.95 of 0.566.…
Peer-reviewedJournalMathematics2026#AI × ESGDOI
Evaluating the Financial Performance of CSR Strategies and Sustainable Operations in Mexican Companies: An Explainable Machine Learning Approach
Laura Elena Jiménez-Casillas, Román Rodríguez-Aguilar, Marisol Velázquez-Salazar +1
This study measures the individual impact of CSR and sustainable operations on financial performance for Mexican listed firms using Random Forest and explainable ML (ICE, PDP, SHAP). Environmental scores show the most consistent contributio…
Peer-reviewedJournalEuropean journal of sustainable development research2026#AI × ESGDOI
Digitalization of integrated management systems for operational efficiency: Insights from industry and sustainability reports–A systematic review
Sajjad Ahmed
This systematic review analyzes how digitalizing integrated management systems (IMS) impacts operational efficiency, sustainability, and strategic value, drawing on 69 studies and corporate reports. AI, IoT, and cloud technologies enable re…
Peer-reviewedJournalInternational Journal of Innovative Science and Research Technology2026#AI × ESGDOI
Beyond Compliance: A Policy-Driven Digital Governance Framework for Embedding Procurement Sustainability in Nigeria’s Bureau of Public Procurement
Adedokun A. Adebowale
This study evaluates Nigeria's digital procurement reforms and proposes a Policy-Driven Digital Governance Framework (PDGF) integrating AI anomaly detection, OCDS, and gender-responsive green procurement. Simulation suggests potential savin…
Peer-reviewedJournalINTERNATIONAL JOURNAL OF SOCIAL SCIENCE HUMANITY & MANAGEMENT RESEARCH2026#AI × ESGDOI
Technological Innovation and Sustainable Financial Reporting
Ekwuye, Ben Madu, Lawal I. Lamidi, Okoroiwu, Kemdi Lugard +1
This study examines the impact of blockchain, AI, big data, and XBRL on sustainable financial reporting in emerging markets like Nigeria. Based on stakeholder theory and TAM, it discusses automation of ESG data collection, predictive analyt…
Peer-reviewedCNJournalEquilibrium. Quarterly Journal of Economics and Economic Policy2026#AI × ESGDOI
Data-driven sustainable transformation: Big Data policies and corporate green innovation
Kunjie Zhu, Simin Yang, Mingkun Zhou +1
Using patent data from 4,728 Chinese listed firms, this study shows that China's National Big Data Comprehensive Pilot Zones policy boosts green innovation quantity by 4.5%, driven by improved financing, subsidies, and reduced information a…
Peer-reviewedJournalAgricultural Systems2026#AI × ESGDOI
Optimizing biochar application for greenhouse gas mitigation and yield improvement: Integrating meta-analysis with machine learning
Yinhao Zhu, Sheng Li, Juan Yin +2
This paper integrates meta-analysis with machine learning to optimize biochar application for greenhouse gas mitigation and yield improvement. It aims to identify optimal application conditions, providing quantitative evidence for biochar a…