GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Preprint🌍 GlobalCrossref2025#Climate RiskDOI
Measurement of firm climate risks
Rui, Meng, Shan, Hongyu
This chapter introduces firm-level measures of climate risk exposure, distinguishing physical and transition risks while capturing time-series and cross-sectional variation. It shows that firms with high transition risk, especially those no…
Peer-reviewed🌍 GlobalJournal2026#Climate RiskDOI
Nature-based Solutions: Partnering with the Environment (Chapter 9. Global Infrastructure Resilience 2025 Capturing the Resilience Dividend A Biennial Report from the Coalition for Disaster Resilient Infrastructure Coalition for Disaster Resilient Infrastructure)
Floris Boogaard, Hsoc Mathai, Lakshman Srikanth
This chapter discusses the role of nature-based solutions in enhancing infrastructure resilience against disasters. It argues that partnering with the environment offers cost-effective and sustainable approaches to resilience, providing cas…
🌍 GlobalJournalFigshare2026#Climate RiskDOI
Three Essays on Climate Risk and Corporate Decision-Making: International Evidence on Accounting Conservatism, Inventory Stockpiling, and Agency Costs
Yeboah Richard
This thesis examines the impact of climate risk on corporate decision-making across three domains: accounting conservatism, inventory stockpiling, and agency costs. Using large international samples, it finds that climate risk is positively…
🌍 GlobalJournalHAL (Le Centre pour la Communication Scientifique Directe)2026#Climate Risk
Grounding nature-based solutions: local adaptations for climate resilience and equitable urban futures
Francesca Ferlicca, Manisha Anantharaman, T Vitale
This paper explores local adaptations of nature-based solutions for climate resilience and equitable urban futures, focusing on approaches that balance ecological and social outcomes.
🇺🇸 USAEmpirical Economics2026#Climate RiskDOI
Understanding ESG-mediated climate risk impacts on corporate profits: sectoral dynamics and predictive evidence from an ADL–MIDAS framework
Haoxin Zhao, Kazeem O. Isah
This study uses an ADL-MIDAS framework to examine how physical and transition climate risks affect sectoral corporate profits in the US. ESG plays a negligible mediating role but improves forecast performance when included. Results show sig…
Peer-reviewedCNJournalPLoS ONE2026#Climate RiskDOI
How does the climate risk affect the firm growth: Evidence from China
Yanxuedan Zhang, Zirong Li
This study uses Chinese A-share listed firm data from 2008-2022 to reveal an inverted U-shaped relationship between climate risk and firm growth. Moderate climate risk promotes growth through adaptive strategies like technological upgrades …
Peer-reviewed🌍 GlobalJournalJournal of Applied Accounting Research2026#Climate RiskDOI
Extreme weather attribution: re-assessing company values using carbon emissions
Q. Rayer, P. Andrikopoulos
This paper presents an accessible method for estimating companies' potential extreme weather liabilities using emissions-based attribution. It proposes a modified Gordon growth model to value firms' exposure to extreme weather events. High-…
Peer-reviewed🌍 GlobalJournalFrontiers in Environmental Science2026#Climate RiskDOI
Exploring nature-based solutions’ effectiveness indicators for climate change adaptation: a systematic review
Fabienne Horneman, S. Torresan, E. Furlan +1
This systematic review examines effectiveness indicators for nature-based solutions in climate change adaptation, analyzing 27 articles (36 case studies) from 2008-2023. It finds reliance on process-based performance indicators (51.9%) and …
Peer-reviewed🌍 GlobalJournalJournal of Risk and Financial Management2026#Climate RiskDOI
Spatial Stress Testing and Climate Value-at-Risk: A Quantitative Framework for ICAAP and Pillar 2
F. Rania
This paper develops a quantitative framework for climate–financial risk measurement combining a spatially explicit jump–diffusion asset–loss model with prudential risk metrics. It yields portfolio-level Spatial Climate Value-at-Risk (SCVaR)…
Peer-reviewed🌍 GlobalJournalSustainability2026#Climate RiskDOI
How Is the Integration of Climate-Related Risk into Enterprise Risk Management at Firm Level? A Systematic Literature Review
Laura Albuquerque, Sofia Helena Zanella Carra, Luan Santos +2
This systematic literature review examines the integration of climate-related risks (physical and transition) into enterprise risk management (ERM) at the firm level. Analyzing 22 articles from 2018-2026, it finds that while governance, dis…
Peer-reviewed🌍 GlobalJournalEnvironmental Research Letters2026#Climate RiskDOI
Climate double whammy: assessing the physical and transition climate risks of overseas power projects
Xia Li, Kevin P Gallagher, Xu Chen
This study assesses both physical and transition climate risks for 578 overseas power projects across 105 countries financed by the US, China, and Japan. Using Moody's ESG Solutions data and project-level CO2 emissions, it finds a positive …
Peer-reviewed🇨🇳 ChinaJournalSustainable Development2026#Climate RiskDOI
Impact of Physical Climate Risk on Corporate Environmental Action: Global Evidence From Listed Firms
Haiyan Lu, Yingzi Li, Wei Qiang
This paper empirically analyzes how physical climate risk affects corporate carbon emission reduction actions. Using global data, it finds that exposed firms reduce emissions and adopt environmental innovation and asset-lightening strategie…
Peer-reviewed🌍 GlobalJournalCentAUR (University of Reading)2026#Climate Risk
Climate change exposure and M&A: global evidence
Y. Xue, Shehub Bin Hasan, Muhammad Kabir
This study empirically analyzes how climate change exposure affects corporate M&A activity using global data. It examines the influence of climate risks on M&A strategies, including target selection and deal outcomes.
🌍 GlobalConference2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET)2026#Climate RiskDOI
Knowledge Graph-Enhanced LLMs for Unified Climate-Aware Risk Management in Banking: The Cognitive Bank Architecture
Rohit Nimmala, Gajendra Babu Thokala, Jagrut Nimmala +1
This paper proposes the Cognitive Bank architecture that integrates knowledge graphs, LLMs, and federated learning to unify climate risk assessment across credit, market, and operational risks. It uses a FIBO-based climate-financial KG, Gra…
Preprint🌍 GlobalPreprints.org2026#Climate RiskDOI
Agentic AI for Climate-Resilient Cities: A PRISMA-Guided Review and Digital Twin Framework
Toqeer Ali Syed, Ali Akarma, Muhammad Tayyab Naqash +3
This paper presents a PRISMA-guided review of Agentic AI (AAI) for urban climate resilience, synthesizing 70 studies on smart mobility, energy forecasting, disaster response, etc. It proposes a unified AAI-Digital Twin framework with Pareto…
Peer-reviewed🌍 GlobalJournalJournal of Shipping and Trade2026#Climate RiskDOI
Climate risks in shipping
Hannah Mosmans, Stella Ebbersmeyer, Jolien Kruit +3
This paper provides a structured analysis of climate-related transition risks in the global shipping industry, categorizing them into litigation, policy, contractual, technological, and social risks. It highlights their interdependencies an…
Preprint🌍 Global2026#Climate RiskDOI
Climate risk in shipping under the IMO Net Zero Framework: the role of optionality and uncertainty
Marie Fricaudet, Tristan Smith, Nishatabbas Rehmatulla
This paper develops a ship-level framework to assess climate transition risk under the IMO Net Zero Framework, considering regulatory, technological, and market uncertainty. Using a large ensemble of futures, it finds high and heterogeneous…