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 1–6 of 6 papers
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…
Ching Li, Ting-Yen (Tim) Huang, Jia-Rui Zheng
This study analyzes maladaptation risks in Japan's ski industry, where adaptation measures can create new vulnerabilities. Using an elevation-based Snow Reliability Line (SRL) screening framework with JMA climate data and resort documents, …
Mana Matsuda, Takuma Yamafuji, Kei Shiomi +4
This study uses simultaneous CO2 and CO observations from GOSAT-2 (2018-2021) to estimate emission enhancements over 69 global cities, finding that the CO2-CO relationship follows a Modified Environmental Kuznets Curve (MEKC). Large discrep…
Ha Dinh Nghiem, Ayyoob Sharifi, Kamaleddin Aghaloo +1
This systematic review of 161 studies and 1,064 indicators on urban climate resilience reveals that 96.6% are quantitative but almost all lack time-bound targets. Only one-third explicitly address climate change, and mitigation is underrepr…
気候関連リスクが財務諸表監査に及ぼす影響
(著者不明)
This paper analyzes the impact of climate-related risks on financial statement auditing, discussing implications for auditors and financial reporting.
Sayed Hashmat Sadat, Yuichi KAYABA
This study quantifies the hydraulic effectiveness of reach-scale Nature-based Solutions (NBS) for flood mitigation in the Yoshio River, Japan, using the 2D hydraulic model iRIC Nays2DH. Four restoration scenarios were evaluated, showing up …
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