GX & Decarbonization Research

Mustafa Tevfik Kartal, Galib Gafarli, Özer Depren +1

This study empirically analyzes the average and marginal impacts of electricity generation subtypes on CO2 emissions for five high-emitting countries (China, US, India, Russia, Japan) using daily data from Jan 2019 to Jun 2024 and a kernel …

Frédy Pokou, Jules Sadefo Kamdem

This paper analyzes geopolitical contagion and hidden vulnerabilities in Europe's energy transition. It reveals mechanisms by which diversification strategies fail, offering insights for balancing energy security and decarbonization policy.

Godwin Olasehinde-Williams, Seyi Saint Akadırı

This study analyzes how EU-ETS futures prices affect returns of ten clean energy subsectors using daily data from 2010 to 2024. Using cross-quantilogram and multivariate time-varying quantile regression, it finds nonlinear, asymmetric depen…

Michael D. Gerst, Cliff Rossi, Robert Brammer +4

This paper argues that current model risk management is insufficient for financial climate risk assessment due to the complexity of global change scenarios. It proposes iterative reverse scenario logic, combining scenario discovery with exp…

Juan Camilo Riaño-Rueda, Melisa de Jesús Barrera-Durango, Nicolás Muñóz-Galeano +1

This paper provides a structured analysis of Advanced Metering Infrastructure (AMI) in microgrids through bibliometric and thematic review. It reveals AMI's transition to a data-centric platform supporting real-time monitoring, bidirectiona…

Albert Molnár, Ágnes Csiszárik-Kocsír

Amid a $4-6 trillion annual climate finance gap, this study analyzes 5,066 GEF projects to identify determinants of co-financing. Larger, multi-focal projects, MDB implementation, and non-grant instruments mobilize more co-financing. Discus…

Hassan Swedy Lunku, Felix Exavery Tebo, Costantine Felix Masanyiwa

This study analyzes how financial liquidity, digitalization, and institutional quality jointly shape renewable energy adoption across 124 economies using dynamic panel data. It finds that good governance and financial policies can convert r…

Inyangala¹ A, Waswa¹ AK, Angeyo² HK

This study develops an explainable stacked ensemble machine learning framework for rare earth element (REE) prospectivity mapping in the Ruri Carbonatite Complex, Kenya. Combining geological, geochemical, and radiometric data, the model ach…

Qi S, Shen Z, Li K

This study examines whether verified transition finance improves ESG performance of carbon-intensive firms. Using Chinese A-share listed firms from 2012-2024 and a staggered difference-in-differences design, it finds significant ESG improve…

A Joy and Yasmin Shaik F

This paper critically examines the environmental footprint of AI development and deployment, including energy, carbon, water, e-waste, and minerals. Data centre electricity hit 415 TWh in 2024, with AI workloads surging 50% in 2025, project…

Mikkelsen, Mads

This presentation argues that an intelligent combination of nuclear and renewable energies is the most viable strategy for global decarbonization, drawing on historical lessons from nuclear accidents and the promise of fourth-generation tec…

Ting, John

This study develops a MILP framework for cross-border CCS network design and policy evaluation, demonstrated on a hypothetical Japan–Malaysia case. It integrates energy penalties, emissions accounting, and source–host credit allocation, sho…

Yun-Long Zhang, Jia-Ning Kang, Xiaoming Kan +5

An interaction-aware optimization framework for 1,885 Chinese coal plants shows that technology interactions alter mitigation costs and emission reductions, shifting cost-optimal portfolios from energy conservation to biomass co-firing and …

Juergen Renn

International climate cooperation faces a trade-off between efficiency and robustness to institutional erosion. This paper formalizes a coalition-formation game with membership premium and outsider drain, using robust control to analyze sta…

Fiona Lippert, Andrew Gerald Barr, Marcos Herreras-Giralda +7

GHG retrievals rely on costly physics-based forward models, limiting real-time processing. This study develops neural network emulators for Sentinel-5, comparing end-to-end and hybrid approaches. The hybrid method achieves high accuracy (<1…

Suhib O. A. Amro, Sepanta Naimi, Changiz Ahbab

This paper proposes an AI-driven generative design framework integrating machine learning surrogates with NSGA-III and PSO to optimize building renovation for net-zero performance. Validated on 12 European case studies, it achieves 84.7% op…

Zou Wanqiao

This paper analyzes decarbonization pathways for China's passenger vehicle sector through policy integration. It examines combinations of policies to promote EV adoption and achieve emission reduction targets, assessing feasibility and impa…

Niizawa H.

This paper analyzes the features and prospects of China's national emissions trading scheme (ETS). It reviews the scheme's design, coverage, and implementation, and discusses future challenges and development potential, highlighting the rol…

Gerasimos Christoforatos, Kim Pickering, Louis A Schipper

This study integrates soil organic carbon (SOC) loss into urban planning and building LCA, assessing its magnitude and mitigation. In Auckland, a SOC-aware scenario conserved 14.6% of SOC (0.092 MtCO2-eq), equivalent to 20-46% of the nation…

白彩全, Bangru Shi, Bangru Shi +1

This paper analyzes how climate policy uncertainty affects activist investors' behavior. It suggests that higher policy uncertainty may intensify activist engagement with firms, with implications for climate finance and corporate decarboniz…