GX & Decarbonization Research

Suganthi Pais

This study quantitatively examines the impact of AI-powered FinTech innovations on Circular Economy Transition (CET), with Sustainable Consumption Behavior (SCB) as a mediator. Using SEM on data from 384 respondents, it identifies AI capabi…

Li Zhang, Jinsong Deng

This study integrates geographical detector and machine learning models to analyze carbon emission scenarios in China's thermal power sector. It identifies key regional drivers and provides policy insights for emission reduction, exemplifyi…

Hina Ahmad, Kinza Kamran, Fizzah Muhammad

This study analyzes the 'AI-climate nexus' reshaping international relations. Through document analysis of 127 sources and four case studies, it finds AI enhances emissions verification and grid optimization but introduces vulnerabilities l…

Xinxiu Liu

ESG ratings are crucial in capital markets, but the surge in disclosed data leads to transparency data bias, potentially compromising rating accountability. This interview-based study reveals awareness of this bias, its causes (data quality…

Saeed Askary, Davood Askarany, Hassan Yazdifar +3

This study examines the interplay between AI-related environmental perceptions, ESG reporting timing, and CDP disclosure quality across 18 European countries. Mandatory reporting modestly improves disclosure quality, but effects on carbon i…

Nihad Isgandarov

This paper theorizes and measures systemic economic fragility arising from the simultaneous acceleration of AI adoption and decarbonization. It proposes the Isgandarov Adaptive Transition Theory (IATT) and develops the Isgandarov Transition…

Makhrus Ali, Amin Zaki, Zain Nizam

This paper examines green fintech at the intersection of financial technology and sustainability, analyzing applications such as digital payments, sustainable investment platforms, and climate-risk analytics. It shows that big data, AI, and…

Wang J.

This paper proposes a hybrid CEEMDAN-LSTM model to predict green bond index movements. By applying AI to ESG financial instruments, it offers insights for investment decisions and risk management in the green bond market.

Jason Chen

This study proposes an optimization framework to reduce greenhouse gas emissions in Hong Kong's logistics and transport network. It models 18 administrative districts as a dynamic topological graph and integrates real-time traffic, terrain,…

CINAR U

Proposes a false-alarm-controlled protocol to fairly compare gas indices and deep learning for early detection of coal spontaneous combustion. In simulation and field data from three mines, Graham's index fails to detect fires at false-alar…

Fausania Hibatullah, Rico Dwi Firmansyah, D. Kusrini

This study proposes a portfolio optimization framework integrating FinBERT-based sentiment analysis and DBSCAN clustering for IDX ESG Leaders stocks. Empirical results show that sentiment-informed clustering improves risk-adjusted performan…

I. Ferdiyansyah, R. Masman

This study analyzes the relationship between Digital ESG Leadership (DEL) and ESG disclosure quality, strategic integration, and performance in eight Indonesian technology companies (39 firm-years, 2019-2024). Using dictionary-based scoring…

Cheng Qian, Fan Yang, Yu-Zhou Jiang +1

This paper proposes a tri-layer hybrid blockchain architecture for automated carbon auditing in urban transit networks, combining MySQL, IPFS, and Hyperledger Fabric. A smart contract pipeline autonomously verifies hash consistency and emis…

Lei Yu, Zhikai Li, Kai Huang +6

This study develops an LLM-agent-driven optimization framework for water-energy-carbon (WEC) nexus management in irrigation districts. It uses three sequential agents (task analysis, algorithm execution, result analysis) to automate parsing…

Osama Omar

This study systematically reviews the role of AI in climate-resilient green buildings, identifying six key sustainability indicators: energy efficiency, renewable energy integration, carbon footprint reduction, water management, indoor envi…

Sornoza Parrales, Diego, Pincay Pilay, Mercedes Marcela, Castro Chilán, Dayana Michelle +1

This repository provides the analytical corpus and R replication script for a bibliometric review of AI for net-zero construction in the AEC industry. It includes 517 documents from Scopus and Web of Science, with thematic mapping and evolu…

Sara Sghiouri, Mohamed Bezza, H. Sabir +2

This review systematically organizes AI applications in wind turbine predictive maintenance, highlighting their potential to improve reliability and reduce costs in the transition to low-emission energy. AI-based fault prediction enhances w…

Meng-Ying Ma, Palida Tuersun, Gulijiang Kuerban +2

This paper proposes a method for carbon price forecasting that integrates multi-source carbon market data using a structured cross-market attention mechanism. The step-sensitive design aims to capture abrupt price movements. By applying AI …

Turgay Battal

This repository provides code, trained model weights, and calculation workbook to reproduce the results of a paper in Transportation Research Part D (TRD-D-26-01334). It applies distributional reinforcement learning to robust low-carbon shi…

Tamara Menichini, Stefania Roberta Miccoli, Nicoletta Maria Strollo

This paper systematically reviews AI's role in ESG reporting from a knowledge management perspective, identifying nine positive impact categories on SAR. Using the SECI model, it conceptualizes AI as an enabling infrastructure that enhances…