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.
Showing 101–120 of 228 papers
E. Pouliot, F. Bichai, Raja Kammoun +1
This paper presents a simplified framework for assessing the vulnerability of drinking water intakes to post-wildfire contamination. It calculates a vulnerability index using forest cover, runoff potential, fire regime under climate change,…
Youn Yeo-Chang, Se-Eum Lee, Soo-Jin Lee +1
This study analyzes human and physical factors influencing wildfire occurrence in South Korea using logistic regression and machine learning. Weather and coniferous forests promote wildfires, while mean stand age hinders them. Forest road d…
Huanpeng Liu, Zhe Chen, Zhuang Lin
This study uses panel data from 1,343 Chinese counties (2000-2023) and a dynamic panel threshold model to analyze nonlinear effects of extreme climate on agricultural production resilience (ARES). Extreme high-temperature days become signif…
М. В. Руда, Алла Шибанова, Микола Козак
This paper proposes a systemic approach for comprehensive climate risk assessment and management, considering impacts on agriculture, energy, and transit infrastructure. It develops a methodology integrating ecosystem, socio-economic, and s…
Олена Крайнік, Сергій Андрійович Левченко
This paper examines how agribusinesses can develop climate adaptation strategies aligned with European standards, including the EU Taxonomy, ESG principles, ISO standards, and the GHG Protocol. It proposes an integrated management model tha…
Meital Peleg Mizrachi, D. Pearlmutter
This paper examines how cities can enhance climate resilience through green employment, commuting transformations, and nature-based solutions. It synthesizes cases from Tel Aviv, Paris, and urban heat research, arguing that effective resili…
F. Aminifar, S. Hayes, John H. Sykes
As wildfires intensify due to climate change, electrical infrastructure is a significant ignition source. This paper reviews wildfire incidents and examines grid engineering and protection strategies to reduce ignition risk. It emphasizes p…
S. Jalilov, Robert Maltsbarger, H. Gedikoglu
This study develops a capital valuation framework for agricultural flood risk, integrating phenology and hydrologic frequency. Using a U.S. Midwest case, it shows that high-probability, low-severity floods account for ~45% of expected annua…
Shan-e-hyder Soomro, Huaibin Wei, M. Boota +8
This paper integrates crowdsourced geospatial data with urban morphology to map urban waterlogging risk in Karachi, Pakistan. By combining citizen reports and physical city layout, it enables risk assessment in data-scarce environments, con…
Nabanita Sarkar, A. Rizzo, Vittoria Vandelli +1
This paper presents a multi-risk assessment methodology for the NW coast of Malta, integrating hazard analysis and vulnerability evaluation for coastal hazards such as storm surges and erosion. Using geospatial data, it produces risk maps t…
M. Tabash, S. Issa, L. Shaheen +2
This study examines the transmission of climate transition and physical risks to various cryptocurrency classes using quantile vector autoregression. Results show that sustainable cryptocurrencies are more resilient, making them suitable co…
H. M. S. Khatlan, A. H. Kamel
This paper analyzes how climate change alters rainfall patterns, impacting small dam design in Iraq. Laboratory experiments show conventional stilling basins fail under extreme flows; modified designs and numerical modeling (Flow-3D) offer …
Liping Cao, Feng Zhou
Using a sample of Chinese A-share listed firms from 2012 to 2024, this study constructs a climate transition risk index via text analysis and empirically examines its impact on green innovation. It finds that transition risk significantly p…
Victoria Ng, Milina To, Frédéric de Mariz
This paper examines how U.S. equity REITs with NYC exposure respond to Local Law 97's emissions caps and penalties. Event study shows insignificant returns at approval but negative returns at enforcement, though not statistically significan…
Julie Vuillermoz, Justine Blanford, Maryam Amir Haeri +2
This paper develops a spatial indicator framework for Enschede, Netherlands, integrating heat exposure, flood risk, mental/physical health, and socio-demographic status to prioritize neighborhoods for urban greening. Tree canopy shows the s…
J. Zhang, Zijian He
Using a 191-country panel dataset (2003-2024), this study shows that both physical and transition climate risks significantly enhance national digital governance capacity. Efficient government services and political stability amplify the po…
P. D. Agorsor, E. Attakora-Amaniampong, W. Appau
This systematic review examines behavioural biases in climate risk perception in real estate investment, focusing on Ghana and other African economies. It finds that flood-risk discounts of 12-18% are capitalized into property prices in Acc…
Daniel Dao, A. Jindal, G. Shrimali
This paper develops a forward-looking framework to quantify expected systemic economic losses from physical climate risks and applies it to Indian firm-level data. It shows that physical climate risks increase firm default risk, which propa…
Mario Schuster, Rainer Lueg
This systematic literature review analyzes 50 event studies on stock market reactions to climate risk events. Physical risk events predominantly cause negative abnormal returns, while transition risk events penalize carbon-intensive firms a…
Tanya Fiedler, A. Pitman, Sarah Perkins-Kirpatrick
This paper addresses the need for credible evidence on physical climate risk in accounting. It examines the use of global climate models (GCMs), their limitations, and proposes four principles for responsible use to produce decision-useful …
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