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 101–120 of 398 papers
Yue Guo, Yangyulong Wu
Using 54,389 Chinese A-share firm-year observations (2000–2023), this study finds higher firm-level climate risk significantly lowers the probability of initiating cross-border M&A. Channels include reduced firm value and resource reallocat…
Daniel R. Oros
This paper argues emergency management must shift from crisis response toward climate-informed risk reduction by integrating adaptation and nature-based solutions (NBS). Synthesizing interdisciplinary literature and policy frameworks, it as…
(著者不明)
This study examines how spatial linkages of carbon balance (CB) influence urban resilience (UR) using a spatial machine learning approach. Integrating XGBoost and GeoShapley, it analyzes the Yangtze River Delta to reveal nonlinear and thres…
(著者不明)
This study analyzes how climate change exposure and biodiversity risk jointly affect the operational performance of 643 US firms from 2007 to 2022, focusing on dynamic productivity change. Both risks hinder firm performance, with their join…
(著者不明)
Using panel data on Chinese A-share listed firms (2013–2024), this study links corporate climate risk attention (CRA), derived from annual-report text, to corporate carbon lock-in (CCL). Fixed-effects estimates show CRA is significantly neg…
Udo Nehren, Ali Cara Barrett, Paola Saenz Quiros +1
This study maps, categorizes, and qualitatively evaluates existing and planned nature-based solutions (NbS) for flood risk mitigation in the Cologne District, Germany, using GIS analyses including the Topographic Wetness Index. It identifie…
Colin Manning, Sean Wilkinson, Jaise Kuriakose +6
Drawing on interviews and roundtables with GB electricity and gas network experts, this paper examines how climate science, industry practice, and policy expertise can be integrated into strategic resilience planning. It presents five build…
ISHOLA Akinwale Victor, ANYA Anya Adebayo, ANYA kelechi Adura +1
This paper compares how AI is integrated into climate governance in the UK and Africa and its implications for environmental justice. The UK shows relatively integrated policy and institutional capacity, while many African contexts face inf…
Yan Yang, Jinyu Chen, Wenjun Xie +3
An empirical study examining how firms' perception of climate risk translates into corporate environmental responsibility (CER), viewed through the lens of performance feedback. It suggests that whether performance exceeds or falls short of…
Jiroj Buranasiri, Prajya Ngamjan, Nuttawaree Ratchpiboon
This study compares machine learning (ANN, Random Forest, XGBoost) and traditional statistical models (logistic regression, etc.) for predicting credit rating downgrades of Thai non-financial firms. Logistic regression excels in risk rankin…
Jingwen Li, Shule Li
This study quantifies direct and spatial spillover effects of compound climate extremes on tourism demand in Sichuan, China, using ERA5 reanalysis and municipal panel data. Prolonged droughts reduce local tourism, while wet-hot events cause…
Ali Taha Yaseen
This study examines the impact of sustainability and climate risk disclosure on financial reporting quality from the perspective of Iraqi auditors. Based on a survey of 210 auditors, both types of disclosure positively correlate with report…
Anna Chiara Brusco, Michele Turco, Patrizia Piro
This study proposes an integrated framework to predict hydrological response of substrates in urban nature-based solutions (NBS), combining HYDRUS-1D simulations with machine learning and statistical analysis. Monte Carlo simulations identi…
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…
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…
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