GX & Decarbonization Research

I. Kravchuk, N. Valinkevych, O. Prysiazhniuk

This paper presents theoretical and applied foundations for investment management in agribusiness distribution networks, integrating portfolio diversification, real options, behavioral finance, ESG metrics, and DeFi. It proposes a hierarchi…

Faridah, Sitti Mujahida Baharuddin, Herminawaty +3

This study analyzes the effects of digital transformation, ESG disclosure, and corporate governance on financial distress, mediated by operational risk and financing constraints, using panel data from Indonesian non-financial firms (2018-20…

Song Dongze

This paper proposes HiCon-ESG, a novel learning method that improves fine-grained classification of ESG disclosure documents. By incorporating confidence-aware hierarchy regularization, it enhances classification accuracy and interpretabili…

Rogelio O. Corona‐Núñez

This dataset provides high-resolution (100m) spatial models of household carbon footprints for the Mexico City metropolitan area, using Random Forest on survey data from 992 dwellings. It maps diet, housing, and transport emissions with sta…

(著者不明)

This paper proposes and evaluates NLP-based methods to automatically detect corporate greenwashing. By analyzing texts such as ESG reports and press releases, it identifies discrepancies between environmental claims and actual performance. …

Lei Lin, Zhi Zhong, Chenglong Li +5

This study proposes SS-UNETR, a semi-supervised foundation model based on a 3D Swin Transformer, for simultaneous identification of multiple geological features (faults, channels, caves) in seismic volumes. Pre-trained on 75,651 field image…

M. Sri, Mrs. A. V. Harshika, L. Nasreen +2

This paper proposes a carbon trading platform leveraging AI and machine learning for real-time pricing, risk assessment, and emission reduction forecasting. It uses blockchain to ensure secure and tamper-proof transactions, offering a scala…

Rongchen Zou

This paper examines ESG rating frameworks embedded in FinTech tools such as AI-driven investment systems and credit-assessment algorithms. While ESG adoption improves transparency and long-term risk oversight, inconsistencies among rating p…

Kalpana K, Backiyavathy M R, Chitdeshwari T +2

This review introduces Engineered Soil Carbon Systems (ESCS), integrating enhanced weathering, engineered biology, nanomaterials, and digital monitoring. It highlights IoT and machine learning for improved MRV, positioning ESCS as a verifia…

Simon Utsu-Ingwu, Lloyd Endurance Ogbondamati

This study proposes a hybrid offshore energy system integrating wind, wave, and floating solar, controlled by AI-based predictive control (MPC and reinforcement learning). Simulations show smoothed output averaging 1567 kW, LCOE of 13.84-39…

Ewees A.A.

This paper proposes an optimized dendritic neural network (DNN) to predict the viscosity of CO2-N2 gas mixtures, providing accurate thermophysical data crucial for CCUS process design and operation. It demonstrates superior prediction accur…

Kim H.

This paper proposes a BERT-based text analysis method to assess the alignment of corporate ESG disclosures with the UN SDGs. By automatically classifying disclosure texts, it quantitatively measures corporate contributions to the SDGs, enha…

Shu Li, Yu Song, Zhongli Bai

This paper proposes a flexible arbitrage framework for co-located renewable-battery systems (RES-BESS) bidding in multiple electricity markets, using Soft Actor-Critic (SAC) and Temporal Convolutional Network (TCN) to autonomously decide ch…

Olamide Efosa-Austin, Olajuwon Ifalade, C. Asuquo +2

Aqua Intel™ is a digital optimization layer for produced water treatment in Nigeria's oil and gas sector, using linear programming to dynamically allocate water across treatment, reuse, and disposal pathways. A pilot simulation on a 25,000 …

Kalyani Singh, Vaibhavi Shahane, Mrunalini Khandare

This study quantitatively analyzes the impact of blockchain-enabled green finance on corporate sustainability and performance using panel data from Indian firms across sectors. Integrating stakeholder, institutional, and TOE frameworks, it …

Xirong Gao, Shiwei Wei

This study empirically examines whether supply chain finance (SCF) promotes corporate green innovation using data from Chinese A-share listed firms. Using patent data and text analysis, it finds a positive impact of SCF on green innovation,…

Wai Yie Leong

This paper proposes integrating ESG and GBI (Green Building Index) rating indicators into a BIM-based automated sustainability reporting system for Malaysian property developers. It aims to streamline reporting processes and improve data co…

Weina Zhu, Jiaxin Shen, Yixin Li +2

This study uses LDA topic modeling and fsQCA to identify pathways for carbon emission reduction in green buildings in China. It analyzes configurations of factors that lead to effective carbon reduction, offering insights for policy and des…

Nicholas Dietrich, David McShannon, Merel Huisman +2

This study quantified the impact of deep learning training policies on CO2 emissions and performance for chest radiograph classification. Prospective early stopping preserved performance while reducing emissions by up to 38% and improving c…

Murali Krishna Pasupuleti

This monograph proposes an integrated architecture for AI-verified carbon credit intelligence, combining uncertainty-aware measurement, causal additionality analysis, ML, geospatial analytics, digital MRV, and market governance. It treats v…