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 21–40 of 398 papers
Hong-Xia Tang, Zhi-Xuan Liu, Yang Liu +2
Proposes a bidirectional closed-loop model coupling System Dynamics with Bayesian Networks to capture metro rainstorm disaster chains, calibrating a 13-node CPT from 47 historical cases. Validated on the Qingdao Metro flooding incident, the…
Xiao-Xin Li, Chi Xie, Wei-Ying Wang +2
This paper builds a novel climate risk measure using an autoencoder that integrates eight proxies for physical and transition risks. The measure strongly predicts stock market returns over 1- to 12-month horizons in- and out-of-sample, deli…
Devi Anggrayni, W. Widodo, Hastarini Dwi Atmanti
Integrating satellite indicators of flood exposure, forest loss and night-time lights with Indonesian macro data (1960–2024), this study uses a dynamic time-series framework to test short- and long-run links between environmental risk and g…
Xiaoyang Zhong, Tomer Fishman, Timothy Tiggeloven +4
This study quantifies building-material demand and embodied emissions from flood-driven reconstruction across Europe under climate change and subsidence. Baseline annual replacement needs (~30 Mt materials, ~9 Mt CO2e) could rise more than …
Aljughaiman A.A.
An empirical study examining how CEOs' cultural and environmental values shape corporate GHG emission intensity. It links top-management values and governance factors to emissions performance, bridging corporate governance and climate actio…
Victoria Ng, Milina To, Frédéric de Mariz
Using NYC's Local Law 97 as a case, this event study examines how U.S. REITs with NYC exposure respond to building decarbonization regulation. The 2019 approval produced insignificant abnormal returns, while the 2024 enforcement onset coinc…
Jason Gabriel Acevedo Esquivel, Miguel Ángel López Zavala, Thalía Turrén-Cruz
This repository releases the replication dataset and trained ML models for an asymmetric actuarial audit of nature-based solutions. Using 50,000 Monte Carlo-simulated extreme hydrometeorological events in Costa Rica and Mexico, it models in…
Pia Schrage, Gbadebo Collins Adeyanju
A qualitative study using key informant interviews with government, civil society and academic stakeholders in Nigeria, examining climate-health impacts and healthcare system resilience. It finds enabling elements such as a climate strategy…
Wellington Santos de Amorim, Leonardo Flauzino de Souza, Marcelo C. Pereira
This paper introduces N-LAS-IAM, a recursive integrated assessment model coupling a Thirlwall–Hussain growth core with endogenous green structural change, capital flows, sovereign risk, and a climate damage module. Monte Carlo experiments s…
Cheng-Cheng Gan
A controlled simulation comparing monolithic vs. microservices architectures for climate financial risk modeling using a Merton-style credit model. At validation scale (1,000 exposures) microservices degraded performance 35% from orchestrat…
Guotao Yang, Jing Wu, Shuya Yan +2
Using 2019–2023 panel data for 31 Chinese provinces, this study embeds a Climate Physical Risk Index as an exogenous variable in a parallel two-stage EBM-DEA model to assess sustainable crop production efficiency. Incorporating climate risk…
Gaganis C.
An empirical study examining the relationship between managerial ability and corporate greenhouse gas emissions. Details are unavailable as no abstract was provided, but it appears to analyze how management quality affects emissions perform…
Lei Wang, Zhaoming Yang, Tingqiang Chen
This study examines carbon risk management strategies for energy firms' low-carbon transition through the lens of symmetric and asymmetric information structures. It explores how information asymmetry shapes firms' risk-management behavior …
Huang Q.
An empirical study examining how natural disasters shape corporate ESG disclosure through the lens of risk salience. It likely shows that disaster exposure raises managerial climate-risk awareness and alters disclosure quantity and quality.…
Madan Mohan Varshney
Using a 2018–2024 panel of 100 Indian listed firms, fixed-effects regressions show physical climate risk exposure significantly lowers dividend payout, EPS and P/E, while climate initiatives and lower carbon intensity raise dividend and EPS…
M. Maneesha, N. Saravanabhavan
The authors build a monthly Climate Risk Index (CRI) from Indian disaster data (2014–2024) and test whether physical climate risk is reflected in financial-sector equity returns. Across average-effect, distribution, structural-break and cau…
Y.-Z. Chen, L.-Z. Yang, Zu-Yong Mao +2
This study builds an evaluation-optimization framework for water resources in the Beijing-Tianjin-Hebei agglomeration, integrating water system risk (disaster, pollution, ecological footprint) into a multi-level programming model. It maximi…
Anyifang Zhang, Ziheng Zhu, Qin Jiang +2
Coupling a physics-based tropical cyclone hazard model with power-system optimization, the authors project TC-driven economic losses to China's variable renewable energy (VRE) fleet. Losses rise 10–20-fold from a 1975–2014 baseline of USD 0…
Hamza Nizar, Ali Uyar, Muath Abdelqader +2
This study appears to examine how climate shocks affect corporate timing and decision-making ('corporate clocks'), focusing on the roles of political context and green governance. Without an abstract, details are uncertain, but it likely of…
Yu Bai, Fangfei Yu, Tiantian wu +1
This study examines whether social media attention to climate change carries predictive value for stock market movements. It links investor sentiment and climate-risk information diffusion to market outcomes. Details of methods and findings…
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