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.
Journal2026#AI × ESGDOI
Peer Review Report For: How Does Digital Innovation Drive Corporate Sustainability? A Systematic Literature Review [version 1; peer review: 1 approved, 1 approved with reservations]
Joni Prasetiyanto, Mochammad Al Musadiеq, Muhammad Faisal Riza +1
This systematic review synthesizes 49 empirical studies (2023–2026) on how digital innovation affects corporate sustainability. It finds digital transformation, AI, digital finance, and supply-chain digitalization generally improve ESG and …
Peer-reviewedJournalIndonesian Journal of Sustainability Accounting and Management2026#AI × ESGDOI
An Agentic AI Framework for ESG Disclosure Monitoring and Governance Evidence
Amit Aylani, Madhuri Rao
This study develops AEIF, a four-agent decision-support architecture that ingests ESG disclosures, harmonises indicators, detects anomalies, and generates governance-oriented decision trails. Harmonising 43 indicators across 480 firm-year r…
🇪🇺 EuropeDatasetDigital Repository (Polytechnic University of Cartagena)2026#AI × ESGDOI
Replication data for "Carbon footprint optimization of a LoRa-based multi-hop Industrial Internet of Things network deployment" [Dataset]
Francisco-Jose Alvarado-Alcon, Rafael Asorey-Cacheda, Antonio-Javier García-Sánchez +1
This dataset provides inputs and targets for training, validating, and evaluating neural models that approximate carbon footprint (CF)-aware gateway placement in LoRa-based multi-hop IoT deployments. Each record describes an instance with 3…
PreprintZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
Boundary-consistent screening of electricity, carbon and water footprints for generative-AI inference: a reproducible methodological note
Er.Lavanya Sivaramakrishnan
Environmental footprint estimates for generative-AI inference are often compared despite differing workloads, reporting statistics and infrastructure boundaries. This methodological note proposes a conservative screening protocol to classif…
Preprint🇺🇸 USAarXiv (Cornell University)2026#AI × ESGDOI
Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains
Muhammad Umar Farooq, Daniel Cooper
Manufacturers often lack data to model carbon footprints of new materials or processes. This work proposes a reinforcement-learning policy that selectively transfers knowledge from existing manufacturing domains, using a validation gate to …
Peer-reviewedJournalAl-Noor Journal of Engineering Management and Computer Science2026#AI × ESGDOI
Explainable Machine Learning for Predicting CO₂ Emissions and Monitoring Sustainable Development Goals: A Data-Driven Framework with Iraq Case Study
Alyaa Abdalhussein hamad
This study proposes an Explainable ML framework (XGBoost, Random Forest, LSTM with SHAP) to predict CO₂ emission trends and assess impacts on SDG 7, 9, and 13. Using World Bank and Our World in Data (1990–2022) across 180+ countries, XGBoos…
ReportFintech and Robotics Advancements for Green Finance and Investment2025#AI × ESGDOI
Thematic analysis of blockchain and artificial intelligence in sustainable finance
Arslan M.
This paper thematically analyzes blockchain and AI applications in sustainable finance, mapping research trends around green bonds, ESG assessment, and transparency. It offers a foundational overview of how these technologies shape sustaina…
Peer-reviewed🇨🇳 ChinaJournalResources Conservation and Recycling2026#AI × ESGDOI
From pollution control to system governance: five decades of environmental policy evolution in China
Xingjun Ru, Yingying Lu, Shaofeng Chen +1
This study analyzes 3,460 Chinese central environmental policy documents (1978–2025) using an integrated computational framework combining LLM-based semantic enhancement, dynamic topic modeling, and multi-layer validation. It traces five cu…
Peer-reviewed🌍 GlobalJournalJournal of risk and financial management2026#AI × ESGDOI
Do AI and Lexicon-Based ESG Scores Converge? Evidence from IPO Prospectuses in an Emerging Market
M. A. F. Singh, Navjit Singh, Vikas Sharma +1
Using 625 Indian IPO prospectuses (2018-2024), this study examines construct alignment between LLM-generated and lexicon-based ESG scores. Methods converge for environmental disclosure (κ=0.56) but diverge for social and governance, with on…
PreprintPreprints.org2026#AI × ESGDOI
Carbon Footprint Estimation from Indian Food Images
Hemendra Kumar R R, Jayanthi P
This paper proposes an AI framework that estimates meal-level carbon footprints directly from food images. A YOLOv8m object detection model trained on 31 Indian food categories (7,438 images) achieved 90.4% mAP@50. Detected items are mapped…
Peer-reviewedJournalJournal of Risk and Financial Management2026#AI × ESGDOI
Balancing Efficiency and Human Oversight in AI-Driven ESG Audits: The Roles of AI Automation and Decision Making
Ioannis C. Ploumpis, Nikolaos Eriotis, A. Christopoulos +2
This study uses PLS-SEM on survey data from 150 ESG audit professionals to test how AI automation and AI decision making affect audit efficiency, accountability, and transparency. Both AI dimensions improve all three outcomes, with human ov…
🇪🇺 EuropeJournalCorporate Social Responsibility and Environmental Management2026#AI × ESGDOI
Reframing Sustainability Reporting Quality Through Digital Transformation: Insights From a Systematic Literature Review
Tamara Menichini, José María Fernández-Crehuet, Nicoletta Maria Strollo
This study develops the tech-quality reporting (TQR) framework, conceptualizing digital reporting as a dynamic capability that enhances sustainability reporting quality (SRQ). Through a systematic literature review, it shows how blockchain …
🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
CarbonCreditBuy: An Open, Explainable Platform for Estimating Tree-Based Carbon Removal and Its Indicative Credit Value on Farmland
Pavan Manjunath, Thomas
CarbonCreditBuy is an open-source geospatial platform that estimates tree-based carbon removal on farmland using Earth-observation layers (ESA WorldCover, Sentinel-2 NDVI/NDMI) and configurable parameters, applying IPCC 2006 Tier 1 (Tier 2 …
Peer-reviewed🌍 GlobalJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
EcoGrow Smart Irrigation System (EGSIS) A solar-powered, AI-enabled irrigation and water management system with live monitoring, alarms and ESG reporting for climate-smart food production, water resilience, land-based aquaculture and the circular economy
Hoko Energy and Projects, Siyabulela Hoko, Asithandile Mgweba
EGSIS is a low-cost, solar-powered, AI-enabled irrigation and water management system for small-scale vegetable growers in South Africa. It replaces calendar-based watering with soil-moisture-responsive irrigation, runs on a LiFePO4 battery…
Peer-reviewed🇺🇸 USAJournalUniversal Journal of Accounting and Finance2026#AI × ESGDOI
AI and the Quality of ESG Assurance: The Role of Auditor Expertise in Increasing the Reliability of Non-Financial Reporting
Essam AlArbed
Using a 2016–2025 panel of 100 U.S. firms, this study examines how AI adoption affects ESG assurance quality and whether CPA expertise moderates this link. AI adoption and CPA expertise each directly improve assurance quality, and their int…
DatasetZenodo2026#AI × ESGDOI
Can Cognitive AI Drive Carbon-Neutral Consumption? The Roles of AI Recommendation Quality, Carbon Literacy, Green Trust, and Sustainable Purchase Intention
Ahmad, Iftikhar
This study examines whether cognitive AI recommendations can drive carbon-neutral consumption, modeling links among AI recommendation quality, carbon literacy, green trust, and sustainable purchase intention. It posits that AI recommendatio…
CN2026#AI × ESGDOI
A Multi-Party Computation-Based Framework for Cross-Border ESG Data Sharing and Green Finance Coordination toward an Alternative Global Financial Order
Pei-Xuan Wu
This paper proposes a Multi-Party Computation (MPC) framework integrated with permissioned blockchain to enable cross-border ESG data sharing while preserving corporate confidentiality and national data sovereignty. Using China's PBOC green…
CN2026#AI × ESGDOI
ESG Performance and Firm Value Prediction Using Random Forest -- Empirical Evidence from A-share Listed Companies
Shi-Hong Wei, Kai-Ming Tan
This study builds a binary classifier predicting high-ESG Chinese A-share firms from financial and governance indicators (2014-2022). Random Forest outperformed Logistic Regression with accuracy 0.6734, F1 0.6186, and ROC-AUC 0.7824. It sho…
CN2026#AI × ESGDOI
Computational Intelligence and Digital Pathways in Green Logistics: A Comparative Study Using LLM-Driven ESG Analytics
Juan-Juan Luo, Yu-Ru Zong, Di-Yu Ou Yang
This study develops an LLM-based (Claude 3.5 Sonnet) ESG analytics pipeline to automatically extract six indicators from 12 ESG reports (2021–2024) of three leading Chinese logistics firms: SF Express, Cainiao, and JD Logistics. Achieving 9…
🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#AI × ESGDOI
PODCAST: Extracting airline emission KPIs from sustainability reports using large language models (LLMs).
Luis Martín-Domingo
A 6-minute podcast summarizing Martín-Domingo et al. (2025), which uses LLMs to extract airline emission KPIs from sustainability reports. Generated with NotebookLM and author-reviewed, it highlights how AI can automate extraction of emissi…
