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 41–60 of 364 papers
Zhao-Sheng Mao, Yan-Ling Zhao, Miao-Jie Wang
Using panel data from 4,610 Chinese A-share listed firms (2014-2023), this study shows that climate-related physical risks significantly increase corporate supply chain risk levels. It identifies herd behavior, off-site investment, and fina…
Yongjing Gao, Norman Mohd Saleh, Jie Xu +2
This study examines how CEO power affects corporate climate risk disclosure (CCRD) and the moderating role of institutional pressures. Using panel data from Chinese A-share listed firms (2010-2024), it finds that powerful CEOs are associate…
M. Abe, Peter Adriaens
This study quantifies financial flood risk for Nikkei 225 companies across 18,000+ facilities, integrating climate models and financial data. Expected annual damage exceeds USD 8.2 billion by 2030, with ~60% from property damage in Asia. Ca…
Animekh Hazarika, Aditi Nath, Aditi Nath +5
This study assesses climate vulnerability of pineapple agroforestry in the Indian sub-Himalayas using the IPCC framework and entropy method. Surveying 122 households, it finds that erratic weather and lack of irrigation threaten productivit…
Del Carmen, Del Carmen, Gilos
This study develops a CDRA-guided framework to prioritize multi-hazard Nature-based Solutions (NbS) in a coastal municipality in the Philippines. Using mixed methods and IUCN Global Standard diagnostics, it identifies coastal mangrove-beach…
Emmilene Berski, Patrick Bitterman
Survey of municipal planners in Midwestern US cities reveals that concern about climate-induced flooding motivates green infrastructure (GI) regulations, but this does not extend to other climate threats, indicating unrealized multifunction…
Christopher Mtonga, Kawawa Banda, Christopher Shilengwe
This study develops an integrated fuzzy logic-based GIS framework to map groundwater vulnerability to drought in the Upper Zambezi River Basin, using 12 indicators from remote sensing and global datasets. High vulnerability is found in the …
Diana Leticia Molinas Bogado, Jonathan von Below, Ana Alice Eleutério
This study surveyed 85 family farms in western Paraná, Brazil, to analyze climate change perceptions and adaptation strategies. Using PCA and cluster analysis, farmers were grouped into three distinct clusters reflecting varying vulnerabili…
Jianzhi Liu, Ruru Wang
This study analyzes how spatial shifts in grain production in China affect agricultural vulnerability using prefecture-level data from 2010-2022. It finds that shifts increased yield variability and vulnerability, with emerging production a…
MuthuPrakash Duraipandian
This paper systematically reviews the literature on integrating climate risk into portfolio construction, proposes a conceptual framework, and outlines a future research agenda. It bridges academic insights and practical investment strategi…
Huibin Dai, M. Gao
India faces a dangerous convergence of climate change and air pollution, with compound heat–PM2.5 extremes increasing. After 2020, pre-monsoon co-extremes revived, peaking at 17.5 regional days in April 2022. GEOS-Chem modeling reveals that…
Sean Goodwin, Cecilia Alda-Vidal, Ana Terra Amorim‐Maia +3
Drawing on five urban nature-based solutions worldwide, this paper shows how relationships shape adaptation processes and outcomes. Relationality is a concrete enabling condition for successful climate adaptation, evolving over time. The au…
Juliana Toboyee, Mildred Naamwintome Molle, Kenneth Peprah +3
This study analyzes factors influencing adoption of climate-smart agriculture (CSA) among 400 smallholder farmers in semi-arid Ghana using logistic regression. Motivation (yield, cost), access to extension services and training, and formal …
Qian Fu, Sang Yoon Lee
This study prioritizes Port Climate Resilience Strategies (PCRSs) by integrating a time-horizon perspective, using the Fuzzy Dombi-Bonferroni Best-Worst Method with nine Korean maritime experts. Results show a preference for mitigation over…
Yunmeng Zhao, Chiyuan Miao
This study uses random forests and SHAP to analyze the impact of climate variability on global maize yield from 1982-2016. Climate variability explains 23-45% of yield variability across climate zones, increasingly offsetting technological …
Shabtai Isaac, Tal Svoray, Boaz Fux +1
This study presents a GIS-based workflow that uses climate-driven agricultural threshold crossing as a trigger for district-scale planning of housing, solar PV, and open space. Scenario analysis shows that PV allocation depends strongly on …
Will Krantz, Jacola Roman, Victoria L. Ford +5
This paper discusses the importance of the Global Warming Level (GWL) framework in regional climate planning, mitigating uncertainties from the CMIP5 to CMIP6 transition. Using Cal-Adapt as an example, it shows how GWL enables scenario-agno…
Buckley, Ian R. C.
This paper proposes Economic Gauge Theory (EGT), a geometric framework integrating climate risk and carbon pricing on the Pacioli manifold based on double-entry bookkeeping. It treats environmental externalities as curvature and formulates …
Hanif Abdul Rahman, Hein Minn Tun
This study uses AI (Random Forest, XGBoost, SHAP) to quantify global disease burden under climate warming scenarios of 1.5°C, 2.0°C, and 2.5°C. Heat-related deaths and cardiovascular disease burden escalate exponentially with warming, dispr…
Yang Liu, Pai Wen, Ailian Wang
This study assesses vegetation carbon sink stability in central-western Inner Mongolia using time-series analysis, XGBoost-SHAP, and MaxEnt modeling. From 2014-2023, NEP showed a slight upward trend with ~25,500 km2 switching between sink a…
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