GX & Decarbonization Research

Kokubu, Hiroyuki

This dataset release analyzes the CDP corporate questionnaire (Module 7) as an institutional computation device, modeling 2,958 datapoints across 2024-2026 cycles. Each datapoint is classified on three axes (Substance, Narrative, Enforceabi…

Nik Abdullah Bin Rozali, Amli Omar Bin Ismail, Sherry Ameera Binti Mustaffa @ Sulaiman +1

This study proposes 'Green by Design', a socio-technical framework integrating carbon accounting into enterprise architecture to address Scope 3 emissions from digital transformation. Using design science research and thematic analysis, it …

Enmin Zhang, Jianmin Wang, Juanjuan Chen +1

Using a panel of Chinese A-share firms, this study finds an inverted U-shaped relationship between controlling shareholders' equity pledge and corporate green transformation. Initially, equity pledge eases liquidity constraints and promotes…

Dharni Patel, Urvi Deore, Y. A. Vishwa Priya +3

VayuCredit is a machine learning framework for carbon emission monitoring and credit quantification, tailored to India's upcoming Carbon Credit Trading Scheme (CCTS). It uses three models—trend prediction, anomaly detection, and regression—…

Lintang Kurniawati, Nur Kholis, Katarina Yunita Riti +1

This study uses machine learning (Random Forest, XGBoost) to analyze relationships among ESG accounting, data analytics capability, and sustainable value creation. XGBoost achieved highest accuracy (R²=0.87), showing ESG accounting influenc…

Zhao H, Song A, Jin Y +1

This paper proposes a multimodal deep learning framework integrating sky cloud images and numerical sequences to improve ultra-short-term solar irradiance forecasting. A state-aware adaptive fusion mechanism dynamically integrates visual we…

Song C.

This paper proposes a material tracking-based soft sensor for real-time greenhouse gas emission monitoring in process industries. By leveraging AI techniques, it estimates emissions without relying on traditional hardware sensors, enabling …

Sukanta Sarkar Prankrishna Debnath

This paper provides an overview of AI applications in climate control and sustainable development, covering energy optimization, climate modeling, resource management, and smart urban infrastructure. It highlights AI's role in renewable ene…

AHMAD, HARDAN

This book comprehensively explores how AI technologies (ML, NLP, RPA, generative AI) fundamentally transform accounting functions including financial reporting, auditing, taxation, and decision-making. It demonstrates that strategic integra…

Syed Quaid Ali Shah, Walid Cheffi, Muhammad Nurul Houqe +1

This study examines how corporate governance affects ESG disclosure in Saudi listed banks, with fintech adoption as a mediating channel. Using panel data from 2015-2024, it finds that stronger governance positively influences overall ESG di…

Durga Prasad Samontaray, Randheer Kokku, Najeeb Muhammad Nasir +1

This study examines the relationship between corporate FinTech disclosure and ESG reporting among Saudi non-financial firms (2021-2024) using textual analysis. It finds a positive association, especially with environmental disclosure, sugge…

Priya Ranjan

This study proposes a Green Banking 5.0 framework integrating AI analytics, ESG evaluation, climate-risk assessment, and carbon-conscious lending for sustainable banking in India. Using survey data from 120 customers and secondary sources, …

Poojary, Jyothi, Pathan, Afsha, Duste, Thaireem

This conceptual study explores how AI (ML, predictive analytics, NLP) can support banks in ESG risk assessment, identifying green investment opportunities, and ensuring compliance with sustainability frameworks. AI-enhanced credit scoring i…

Kingsley Imandojemu, Samson Alika, Romanus Osabohien +4

This study analyzes the impact of AI patent activity and climate finance on inclusive green growth in five major African carbon-emitting economies (South Africa, Egypt, Algeria, Nigeria, Morocco) from 2010 to 2024. Using Bayesian fixed-effe…

R N, R RS, D Sk +3

This paper proposes an AI-driven nanostructured electrocatalyst optimization framework (AINEOF) for efficient green hydrogen production. By combining Bayesian optimization with deep neural networks, it optimizes catalyst composition and mor…

C Zhao

This paper proposes a carbon management optimization method using blockchain to enhance transparency and traceability of Scope 3 emissions, focusing on marginalized large-scale operators. It ensures tamper-proof data and improves reliabilit…

Supreetha HD, Punith Cariappa, Suresha B

This review systematically analyzes how Industry 4.0 technologies (IoT, AI, big data, etc.) integrated with Circular Economy principles enhance Triple Bottom Line performance in industrial firms. It finds significant improvements in environ…

Paula Marielle Ababao, Ian B. Benitez, Gabriel Avelino Sampedro

This study proposes a blockchain-integrated circular economy framework to enhance lifecycle tracking and emissions reporting for maritime ICT and energy materials. It combines Digital Product Passports, IoT telemetry, and smart contracts to…

Tobias Ströher

This cumulative dissertation investigates how digital MRV (Measuring, Reporting, and Verification) can transform GHG emissions management within and across organizations, drawing on AI, data spaces, digital identities, and distributed ledge…

「European Green Strategic Development Committee, 「European Green Strategic Development Committee

Reports iterative development of a carbon removal system to V8.0. Fully rewrites reaction database, kinetics, byproduct prediction, spectral/imaging detection, risk assessment, and strategy learning; adds new modules for atmospheric diffusi…