GX & Decarbonization Research

Futi Liu, Zian Zhao

This paper addresses ESG-aware portfolio optimization under decision-dependent return uncertainty. It constructs a joint polyhedral uncertainty set and formulates a two-stage robust optimization with CVaR constraints, solved via column-and-…

Idham Idham, Chusnul Rofiah

This study examines how cyber-auditing and the conceptual foundation of digital assurance redefine auditors' roles in multinational firms. Using a systematic literature review, it finds that integrating AI and data analytics into audit prac…

Yingwen Guo, Miao He, Weiyin Zhang

This study examines the impact of geographic proximity to cancer villages on firm valuation using Chinese listed firms from 2004 to 2022. A one-standard-deviation increase in proximity reduces Tobin's Q by about 1.7%, driven by higher compl…

S. Amoo, Ali Attajer, Ismahen Zaid +1

This study develops an optimization framework for sustainable AAC production using discrete-event simulation and machine-learning surrogates. It generates 116,640 production scenarios and trains ML models to predict CO2e emissions, cost, an…

K. Sonawane, P. Saini, U. Biradar +3

This paper proposes an AI-driven integrated digital framework for CCUS to enhance containment assurance and carbon credit credibility. It integrates multi-modal data (DAS/DTS, microseismic, satellite) and uses anomaly detection, Bayesian in…

Yilin Wang, Xujing Dai, Xueyan Li

This study examines whether China's Green Finance Reform and Innovation Pilot Zones (GFRIZ) policy improved urban supply chain resilience, using panel data for 285 cities from 2012-2024 and a partially linear Double Machine Learning approac…

Nehad Gaši, Kemal Spahić, Bekir Fulan

This paper applies AI to optimize smart intersections powered by renewable energy, using machine learning on traffic, energy, and weather data for dynamic signal control. It reduces congestion, improves safety, and cuts CO₂ emissions, contr…

Jian Xu, Jie Song, Yifan Yan +3

This study constructs an energy production revolution index (EIT) for the Yellow River Basin and uses stacking ensemble and Lasso-STIRPAT models to project carbon emissions and EIT from 2025-2045. Scenario analysis reveals optimal pathways …

Xiao Zhang, Zhaoqiao Ding

This paper proposes a smart cold chain system integrating IoT sensors and machine learning to enable dynamic monitoring and evaluation of full-chain carbon footprint. Real-time data collection and predictive models optimize energy consumpti…

Shaohuai Feng

This repository provides supplementary data for the manuscript on the SCOPE framework, a reproducibility-driven variable screening method for carbon price forecasting. It includes raw and processed data, additional analyses, supplementary f…

H. T. Dinh, Hà Thị Thu Bùi, H. Nguyen +3

Using survey data from 853 hotel employees in Vietnam, this study employs PLS-SEM to examine how AI and CSR influence employee green behavior (EGB), green finance (GF), and green performance (GP). Findings show AI positively impacts GF and …

Mohamed Vajeebu Mohamed Hussain Pareeth

This review proposes an AI-driven optimization framework for green hydrogen production networks in Saudi industrial cities (NEOM, Yanbu, Jubail, etc.). It integrates machine learning, digital twins, stochastic optimization, and explainable …

Sanjana Kewalramani, Sharvari Nimje, Tanishq Rajpuria +2

This review systematically organizes research applying AI/ML to Kubernetes scheduling for improving energy efficiency and reducing carbon emissions. It shows that ML-based workload placement optimization can effectively reduce data center e…

T. Sindhu, Dr. K. Sivakumar, Dr. D. Jayanthi +2

This review examines geospatial technologies (GIS, remote sensing, UAV, LiDAR) combined with machine learning for carbon stock estimation in mango orchards. Integration of satellite imagery and ML models (Random Forest, SVM, ANN) improves p…

Winda Wulandari, Sri Widyastuti, Harnovinsah Harnovinsah +1

This systematic literature review reconceptualizes financial reporting integrity as a socio-technical governance phenomenon shaped by governance accountability, sustainability legitimacy, and technological transparency. Analyzing 28 Scopus …

Yaacob Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad

This study examines whether carbon exposure affects corporate borrowing costs in the MENA region using a panel of 771 firm-year observations from 2016 to 2023. Combining fixed effects, IV, GMM, quantile regression, and machine learning, it …

Ke W

This paper frames environmental monitoring as collaborative governance infrastructure under ESG and net-zero policies, and explores how 'Quantum Intelligence (QI)'—combining quantum optimization and quantum machine learning—can reshape the …

(著者不明)

This paper demonstrates that integrating IoT and BI platforms improves Scope 3 emissions reporting accuracy by 40% in logistics. It emphasizes data unification from a governance perspective, offering new possibilities for carbon tracking an…

Seyed Ali Hosseini, Francesco Grimaccia, A. Niccolai

This paper introduces fuzzy logic into reward design for deep reinforcement learning agents in carbon emission trading (ETS), aiming to optimize trading strategies. Fuzzy rewards improve decision-making under uncertainty, balancing emission…

Md Qamruzzaman

Using panel regressions and a deep learning (MLP) model on 62 listed Bangladeshi financial institutions (2005-2023, 1,178 firm-years), this study finds that intellectual, human, and natural capital disclosures each positively and significan…