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.
🇨🇳 China📚 Peer-reviewed · JournalSustainable 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…
🌍 Global📚 Peer-reviewed · JournalCentAUR (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…
🌍 GlobalPreprintPreprints.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…
🌍 Global📚 Peer-reviewed · JournalJournal 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…
🌍 GlobalPreprint2026#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…