GX & Decarbonization Research

Iqra Mubeen, Samina Rauf

This paper investigates whether ESG sentiment generated by LLMs can predict portfolio risk. It finds that positive ESG sentiment correlates with lower volatility and downside risk, while negative sentiment increases risk exposure. LLMs outp…

Youxia Tong, Samuel Duku Yeboah, Michael Provide Fumey

This study uses 1996-2023 data from G7 economies to examine whether institutional quality protects against energy-related risks and promotes renewable energy adoption. Using quantile-on-quantile regression, it finds heterogeneous effects: J…

Zhongxiu Chen, Zhehao Huang, C ZHANG +1

This paper proposes a carbon price dynamics model combining jump-diffusion and higher-order hidden Markov switching. It captures price volatility and regime shifts in carbon markets, aiding forecasting and risk management.

Yunchao Zhuang, Kui Xu, Lingling Bin +4

This study evaluates global wind and solar energy sustainable development potential under climate change scenarios and explores regional joint optimization. It provides insights for renewable energy deployment planning and climate adaptatio…

Shuai Li, Pei Yu, Z J Yang +1

This supplement accompanies research applying machine learning (XGBoost, Bayesian optimization) to low-carbon concrete mix design. It includes material-stage emission factors, optimized hyperparameters, minimum-embodied-carbon candidate mix…

Brook Waldman, Jordan Palmeri, Kathrina Simonen +1

This paper proposes a theory of change for Buy Clean policies, linking interventions (e.g., EPD requirements) to outcomes like reduced embodied carbon and low-carbon market creation, and offers indicators for evaluating policy effectiveness…

Chengcheng Zhao

This paper develops a comprehensive framework integrating LCA, TEA, and optimization to evaluate circular low-carbon pathways in transport and energy. Applied to urban buses, passenger vehicles, and e-SAF in Saudi Arabia and globally, it fi…

Ummesara ., Chaitanya Kumar Sahu, R Ranjith +5

This review integrates trends in AI-enabled regenerative agriculture (RA) to promote climate resilience. AI tools (ML, remote sensing, IoT) enable dynamic monitoring of soil/crop health, carbon accounting, and adaptive farm management, acce…

Pyung Kim

Using South Korea's unique dual regulatory framework where an ETS and a command-and-control program (TMS) operate in parallel, this study compares carbon pricing with prescriptive regulation at the firm level. Difference-in-differences anal…

Sergei G.

This paper empirically analyzes yields in the European green bond market, investigating the existence and magnitude of a 'greenium' (price premium) compared to conventional bonds. It provides insights into issuer and investor behavior in gr…

Grigorieva S.

This paper analyzes the returns and valuation of green bonds as safe assets in global, Russian, and Chinese markets. It identifies the drivers of green bond returns and examines the safe-asset effect, providing insights for transition finan…

Ali Q.

This paper analyzes the relationship between electric vehicle (EV) adoption and carbon emission coefficient factors in European power systems. It quantifies the impact of EV penetration on overall grid emissions and highlights how regional …

Yusuf B.O.

This paper reviews recent developments in carbon dioxide capture and utilization (CCU) technologies, focusing on novel catalysts, processes, and economic assessments to achieve net-zero emissions and mitigate climate change.

D. R, Santhosh Kumar A G

This secondary data analysis (2020-2025 sources including Bloomberg, MSCI, World Bank) examines AI's role in ESG integration and sustainable finance. It finds that NLP and ML improve ESG data coverage by up to 40% and enhance climate risk p…

Murali Krishna Pasupuleti

This paper proposes the Generative Climate-Aware Deep Hedging (G-CADH) framework, which combines deep hedging with generative market models to manage portfolio risk and financial resilience under climate change. It integrates a conditional …

Viktorija Stasytytė, Sana Shahid

This paper conducts an exploratory structured literature review of publications from Web of Science and Scopus to systematically visualize the overlap between ESG risks and enterprise risk management (ERM). Using keyword-based thematic mapp…

Sukrit Vinayavekhin, A. Banerjee, Feng Li +1

This study investigates drivers of digital traceability system adoption for GHG emissions using institutional theory and transaction cost economics. A conjoint experiment with manufacturing managers shows that systems covering Scope 1, 2, a…

Nan Deng, X Chen, Giovanna Michelon

This paper analyzes how the adoption of mandatory sustainability reporting standards influences investor perceptions and decision-making. Likely employing empirical methods, it provides insights into the effectiveness of disclosure regulati…

Anuj Pal

This study evaluates the ability of large language models (LLMs) to distinguish between symbolic and substantive sustainability communication in ESG disclosures. It constructs a dataset from annual and sustainability reports of publicly lis…

Brian Ballou, J. Owen Brown, J. Gregory Jenkins +1

In an integrated reporting setting, this experiment examines how ESG assurance provider type (CPA vs non-CPA firm) and disclosure of assurance team composition (multidisciplinary team including engineers, scientists) affect investor judgmen…