GX & Decarbonization Research

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…

Murali Krishna Pasupuleti

This monograph proposes an integrated architecture for high-integrity carbon-credit market analytics, combining geospatial observation, topological data analysis, statistical inference, machine learning, and quantum-assisted computation. It…

Kui Hu, Wenhui Chen, Kunpeng Zhang +3

This study uses machine learning to optimize the design of low-carbon asphalt mixtures incorporating recycled concrete aggregate. By incorporating engineering constraints, it proposes mix designs that balance carbon emission reduction with …

Yan Liang

This paper proposes an intelligent management platform architecture for ecological governance under low-carbon constraints. It integrates edge-cloud collaboration, spatiotemporal graph networks, multi-modal anomaly detection, and multi-obje…

Fang Qi

This paper constructs a multi-objective optimization model for low-carbon urban fresh logistics distribution, minimizing total cost and carbon emissions. An improved ant colony algorithm with optimized pheromone update and heuristic weights…

Zhuo Chen, Baihe Gu, Xiong Qiyang +2

This paper explores using AI data centers' demand flexibility to support China's low-carbon power transition. It demonstrates how load shifting and adjustment capabilities of data centers can facilitate renewable integration and enhance gri…

Zhiyi Ye, Xiang Yuan

Developing an AI-assisted bilevel optimization combining Bayesian Optimization and MILP for maritime decarbonization under EU ETS. In the Asia-Europe case, it reduces cumulative emissions by 28.39% with only 0.213% resource cost increase, o…

Hasan Tutar

This paper employs a machine-learning-augmented quantile regression to analyze the relationship between green innovation and renewable energy transition in OECD countries. By moving beyond linear panel models, it captures heterogeneous effe…

(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. …

Sunxu Liu, Yue Hu, Xiangyu Hua

Using Chinese A-share non-financial listed firms (2009-2024), this study examines whether ESG rating divergence is associated with SA-index-based financing constraints. Fixed-effects regressions show a significant positive association, with…

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…

A. Pournaghshband, F. Piadeh, Mohsen Ahmadi +1

This study develops an AI-driven decision-support framework integrating LCA, scenario-based material substitution, mixture-of-experts neural networks, and sustainability optimization. Using a UK office building case study with 1500 scenario…

Vlatka Bilas, Tomislav Radoš, Lana Frkovic

This study examines whether ESG ratings provide useful information for credit risk assessment in an emerging EU member state, using Croatian firm data from 2024-2025. Combining econometric models and random forest prediction, the findings s…

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…

Shuangxiang Zeng, Lisha Dong, Jingtao Shao +2

This study optimizes carbon purification from spent cathode carbon (SCC), a hazardous waste from aluminum production, using machine learning. Six algorithms were compared, and LightGBM was tuned via RSM, orthogonal design, and local optimiz…

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…

W. -J. Bai

This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …