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 61–80 of 439 papers
Johannes Schrank
This study uses a media-based climate change index and monthly U.S. data (2003–2025) in a VAR framework to examine how climate concerns affect labor markets, consumer confidence, stocks, T-bill rates, manufacturing, and exports. Most indica…
Y. Kosenko
This paper develops a dynamic state-space model for adaptive management of enterprise economic potential under macroeconomic volatility and European integration risks. It defines a five-component potential vector and formalizes six categori…
Kian Jindal
Using SEC filings, 10-K disclosures, and an NGFS-inspired calibration, this study estimates climate resilience for 503 S&P 500 firms while incorporating disclosed customer dependence. Under Current Policies, mean direct stress rises from 2.…
Bei-Nan Guo, Da-Ming Wu, Li Zhang +3
Using 1,137 firms listed under China's registration-based IPO system (2019-2024), this study identifies climate-risk questions in exchange review inquiry letters via textual analysis. Climate risk inquiries are associated with lower first-d…
Matwal Singh, Gaurav Kumar, Archana Patro
This study examines how corporate climate risk exposure affects liquidity risk, and whether ESG disclosure and innovation mitigate that relationship. An empirical study from Indian institutions, it suggests disclosure quality and innovation…
Delin Meng, Lan Wang
This study appears to examine how physical climate risk reshapes firms' collaboration networks and drives digital technological innovation. It frames climate risk as a driver of corporate behavior and innovation. Details of method and findi…
Prashant Das
Using parcel-level land price data (2019–2024) from Andhra Pradesh, India, this study estimates how RCP4.5/8.5 climate risks are capitalized into agricultural land prices. A 1% rise in rainfall raises prices ~3%, while a 1°C rise in project…
José Miranda Dias
Analyzes how climate-driven extreme events threaten construction firms and buildings—project delays, supply-chain disruption, insurance litigation, productivity loss. Evaluates management strategies using information systems for anomaly det…
Jia-Jun Lu, Gao-Yuan Xi, Zhan-Hong Yang
Using a 2014–2023 panel of 33 Chinese listed commercial banks, this study links a composite climate risk index (CCRI)—combining branch-weighted physical risk and transition-risk disclosure intensity—to risk-weighted asset ratios. Higher CCR…
Liu-Qing Wang, Hang Chen, Wei-Han Zhu +1
Using 2012–2023 panel data for 30 Chinese provinces, the authors build a composite physical climate risk index (CPRI) of extreme cold, heat, rainfall and drought, and apply double/debiased machine learning to estimate effects on forestry ec…
Agnes Hellner
This article examines how Swedish procedural law handles collective environmental and climate claims and how EU law has shaped access to justice. Analyzing the PFAS drinking-water case and Sweden's first climate case against the state, it a…
Florentina Chițu, Cristian Gabriel IANC, Andra Nicoleta Mecu +1
Using 2012–2020 data from 11 CEE EU economies, this study examines how climate transition exposure (energy import dependency, renewable progress, Transition Exposure Index) relates to business resilience (enterprise survival, death rates, c…
Mahan Tahvildari
This review compares twelve European supervisory climate stress tests, assessing banking portfolio resilience. Aggregate systems absorb tested losses, but resilience is conditional: disorderly transition concentrates impairment in carbon-in…
Peng Xingzhu
Using 2010-2024 panel data of Chinese carbon-intensive listed firms, this study builds a text-based climate transition risk index and applies two-way fixed effects and system GMM. Transition risk significantly and non-linearly raises defaul…
Tomy Rizky Izzalqurny, Rani Destia Wahyuningsih, Oktaviana Safitri +5
Using LSEG/Refinitiv data on 1,116 non-financial firms (3,792 firm-years, 2021–2024), this study shows climate governance breadth, implementation, and coherence do not robustly predict lower carbon intensity or better economic outcomes. Ind…
Agus Indarjo, G. D. Maharani, M. Zainuri +2
This study assesses 2015–2025 coastal vulnerability in Betahwalang Waters, Demak, Indonesia, using a Coastal Vulnerability Index integrated with GIS. Weighted overlay of physical, geological, and environmental parameters shows ~69% of the a…
Petar Jelinic
This conceptual article examines U.S. credit unions' strategic role in managing physical and transition risks while supporting sustainable finance. Integrating financial-stability theory, RBV, dynamic capabilities, stakeholder theory, and E…
Pengyu Chen, Zhongzhu Chu, Sarula Bai +1
Using cross-national panel data for 51 countries (1996–2023), this study applies a two-way fixed effects model to test whether AI governs physical climate risks. Effects operate through risk sensing, seizing, and action integration, with AI…
Iryna Bashynska, Liubov Niekrasova, Павлова Олена Миколаївна +4
This study develops a residual risk-based diagnostic framework and applies it to three major Ukrainian oil and gas companies under energy transition and wartime pressures. Combining a 140-respondent survey with public data, SWOT and PEST an…
Muhammad Waqas, Sang Min Kim
A hybrid attention-based CNN-LSTM (HACL) framework projects groundwater levels for South Korea using CMIP6 forcings and national monitoring data. A filtered four-model ensemble projects the largest increases in western alluvial lowlands, fe…
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