GX & Decarbonization Research

Meziouni, Reda

This thesis proposes a sovereign AI-driven compliance framework for supply chain due diligence under the German LkSG. It extends the WBCSD PACT protocol with a standardized JSON schema, a deterministic rule engine, an offline Mistral 7B nar…

Cong Doanh Duong

This study demonstrates that AI-based reverse logistics improves net-zero green performance through circular economy practices, but tariff policy uncertainty weakens these effects. Based on a three-wave survey of 209 ISO 14001-certified hig…

Jiayuan Guo, Kai Quan Zhang, Yanlai Wang +1

This study integrates XGBoost with SHAP interpretability to identify carbon emission drivers of agricultural exports using panel data from Central China (1993-2019). The optimized model achieves high predictive accuracy (R²=0.935), revealin…

Sonia Sayari, Nidhal Mgadmi, Majed A Helmi, Hanen Louati, Abdulaziz M Basahel, Hamed Yousef Alshinkity, Sumayya Albalawi

Using US data from 1990-2024, this study examines how green economy, FinTech, and governance affect environmental sustainability. Applying cointegration, error-correction, QVAR, and heatmap diagnostics, it finds that renewable energy, fores…

Maria Aluchna, Leszek Bohdanowicz, Bogumił Kamiński

This study examines how female board representation affects the scope of climate-related disclosure (energy use and GHG emissions) after mandatory NFRD reporting. Using a difference-in-differences design on 72 Warsaw Stock Exchange firms, i…

Xiaoyu Guo, Weisen Wang, Zhanghua Xu +6

This study develops a UAV-LiDAR and machine learning framework for organ-level aboveground carbon (AGC) estimation in bamboo forests. XGBoost and Random Forest achieved highest accuracy (stem R2=0.82, leaf R2=0.73), offering a cost-effectiv…

Yubao Wang, Zhenzhong Liu

This study proposes a four-dimensional evaluation system with 22 indicators and a Fuzzy DEMATEL-MultiMOORA-Borda model to assess synergy between digitalization and decarbonization in coal power. Evaluating seven transition scenarios, it fin…

Xing Bao, Xu Zhang

This paper constructs a climate risk perception index from Chinese A-share firms' annual reports (2003-2023) and examines its impact on corporate green innovation. Stronger climate risk perception significantly promotes both quality and qua…

Nabeela Ehsan

This study examines whether AI-driven ESG compliance monitoring reduces corporate sustainability risk using panel data from 320 listed firms (2016-2024). GLS regression shows AI monitoring significantly lowers risk (coefficient -6.84), and …

Jiehui Chen, Dexing Sun, Feiwei Li +4

This paper proposes a dynamic multi-objective optimization framework for industrial electricity consumption, integrating high-precision load forecasting and optimal scheduling. An improved LSTM model (DGO-TA-LSTM) is used for forecasting, a…

Santosh Kumar, Neha Gupta, Swarnima Gorani

This paper discusses the importance of policy frameworks and incentive design for applying AI in green finance. It argues that without proper governance, risks such as algorithmic discrimination and data bias could undermine social goals, a…

Monica Canepa

This paper proposes an explainable multi-criteria decision framework for maritime and port decarbonization, integrating AHP, TOPSIS, and SHAP. It incorporates cyber-physical security as a core criterion and is validated with real-world data…

Yunhua Zhang, Jia Wu

This paper examines the impact of China's green finance reform policy on corporate sustainable innovation, drawing on institutional and stakeholder theory. Using DID analysis on Chinese A-share listed firms from 2012-2022, it finds the poli…

Sendy Dwi Haryanto, Dian Agustia, Iman Harymawan

This study analyzes 205 European oil and gas firms (2018-2023) to show that risk management committees (RMCs) mitigate 37% of emissions-related value destruction, and GRI compliance mediates 12% of the emissions-value relationship, but only…

Nanlan Du

This paper empirically analyzes the impact of green finance policies on corporate low-carbon transition in China using a multilayer perceptron (MLP) algorithm and difference-in-differences (DID) method. Using panel data from 30 provinces fr…

Aiying Zhao, Qian Chen, Yang Zhao +3

This paper proposes a hybrid Transformer-sLSTM model for carbon price forecasting, integrating VMD for multi-scale decomposition and WOA for parameter optimization. Achieving R2=0.9862 and MAPE=0.56% on real datasets, it enhances prediction…

Svenja Hauck, Lucas Greif

This article reviews the role of knowledge graphs and AI in sustainability assessment, enabling comparison of environmental impacts during product development. A case study demonstrates carbon footprint analysis using these technologies, hi…

YINKA ADERIBIGBE

This paper proposes a cloud-native, serverless ML pipeline on AWS for real-time carbon accounting. It uses NLP and XGBoost to analyze corporate sustainability reports, cross-reference with supply chain telemetry, and compute a Disclosure In…

Jingyi Xu, Minghui Cheng, Anchen Sun

This paper introduces BeDA, a multimodal large-language-model instrument, to audit corporate building-decarbonization disclosure. Applied to a global panel of 2,246 firms (2003-2023), it finds that only about one in five firm-reports disclo…

Peixoto E.

This paper proposes an architecture for monitoring and reporting ESG indicators in AI-driven value chains. It automates data collection and analysis across the supply chain, facilitating stakeholder reporting. By leveraging AI, it enables m…