This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 221–240 of 364 papers
Francis Atta Sarpong, Lulu Gu, Rebecca Otiwaa +2
This study investigates how physical climate risk affects foreign direct investment (FDI) using econometric and machine learning methods across 176 countries (1995-2023). It finds that higher climate risk significantly deters FDI, especiall…
Miomir Mikić, Ivana Mikić, Radmilo Rajković +2
This paper analyzes the impact of climate change on mining from global trends and Serbian specifics, highlighting risks from extreme weather on operations and tailings stability, and stresses proactive adaptation and decarbonization.
Чжаньи Фу
This paper analyzes the vulnerability of the new energy economy driven by large-scale renewable deployment to climate risks and extreme weather. Quantitative assessments reveal discrepancies in wind and solar outage impacts, and financial a…
Jiacan Yuan, Yuanhao Chen, Jian Hang +4
This review examines how global warming and urbanization jointly influence weather hazards in East Asian cities. It finds that global warming increases background probability of extremes, while urbanization modifies local intensity, spatial…
Damodar Tripathi
This paper examines climate governance, public trust, and human security through three climate-induced disasters in Nepal's mountain region: the 2021 Melamchi Flood, 2024 Kathmandu Flood, and 2025 Rasuwa GLOF. It finds that reactive disaste…
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…
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-…
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 …
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