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 181–200 of 4132 papers
Helen Ganal, Sarah Becker, Sascha Holzhauer +4
This paper presents AgentHomeID, an agent-based model of building stock transformation that explicitly represents owner heterogeneity and investment decisions. Applied to Germany at national, regional, and urban scales, it shows that removi…
Rui Lu
Proposes request-level carbon accounting for AI inference, considering service boundaries, routes, and electricity sources. Public-data implementation reduces median absolute percentage error by 56.3% vs EcoLogits.
Filiz Mızrak, Umut Elbir
This study develops a reliability-aware Bayesian framework to assess readiness for digital-twin-enabled smart-energy systems across 20 major international airports. Using 15 capability indicators in four domains plus an auxiliary transparen…
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…
Shigeyuki Hamori
This paper analyzes risk transmission between brown and green energy equity markets during the energy transition using a quantile-frequency framework. It finds that connectedness is state- and horizon-dependent, with physical climate risk r…
Shan Tang, C. Ding, Abdullahi D. Ahmed
Using Chinese A-share firms, this study shows high-quality climate risk disclosure increases institutional on-site research frequency and depth. Mechanism analysis reveals reputational compensation and information guidance effects, with tra…
Trent Jacobs
This article explains why commercial-scale CO2-EOR remains difficult, citing Occidental's DAC project delays, ExxonMobil's pipeline plans, and examples from Petrobras and Oman. Barriers include technical challenges, high costs, lack of gove…
Abdullah Kursat Merter, Y. S. Balcıoğlu, Tuğba Arslanoğlu Karakaya
This study analyzes the impact of board-level sustainability committees, GRI adoption, and external assurance on ESG scores for BIST Sustainability Index firms. Using fixed-effects panel regression, it finds positive effects, with multinati…
Guangnian Xiao, Yaqing Shu
This editorial introduces six papers on maritime decarbonization and ocean-based CO2 removal. Key findings include the effectiveness of carbon taxes in promoting green fuels and the potential lack of net CO2 removal by kelp farming. It emph…
Osama Baig, Wang Jun, Xie Heping +8
This review systematically organizes AI applications in geothermal energy from exploration to power generation, showing that machine learning and deep learning are effective for reservoir characterization, drilling optimization, and power p…
Jaime F. Lavín, Paulo Buchuk, Mauricio A. Valle +1
Using panel data of Chilean listed firms (2015-2022), this study examines the association between voluntary ESG disclosure pillars and cost of debt. Environmental and governance disclosures are consistently associated with lower debt costs,…
Pranta Sikder
A country-year panel dataset (1990-2022) for 164 countries providing CO2-GDP decoupling indicators, including Tapio elasticities, eight-state classifications for production- and consumption-based emissions, regression-based elasticities, an…
Ning Lei, Sylvain Coutu
This study develops a safeguard assessment framework for forest carbon projects and applies it to Verra-registered projects. Linking safeguard scores with transaction data, it finds little evidence that stronger safeguards lead to faster cr…
Hunter Hughes
The clean transition is constrained by a macro-financial trap: Global South projects face 10-18% WACC, doubling solar LCOE. FX mismatch is the key barrier; a $50B multilateral FX guarantee facility could cut tariffs by ~40%. Reforms to MDBs…
Andrew P. Yu
This guide maps 128 MME task positions to licensed IFRS Sustainability Disclosure Standards and SASB Standards source relationships and candidate UN SDG target routes. The mappings express potential analytical relationships between evidence…
Andrew P. Yu
This guide maps 128 MME task positions to IFRS Sustainability Disclosure Standards and SASB source relationships, and candidate GHG Protocol Scope 3 categories and accounting-process routes. It identifies potential relationships between evi…
Andrew P. Yu
This guide maps 128 MME task positions to IFRS Sustainability Disclosure Standards and SASB source relationships, and candidate COSO control-support relationships across internal control, ERM, and sustainability reporting. It identifies pot…
Andrew P. Yu
This guide maps 128 MME task positions to IFRS Sustainability Disclosure Standards and SASB Standards source relationships, and materiality-governed ESRS topic routes. It distinguishes authentic EU legal texts from EFRAG support materials, …
Andrew P. Yu
This guide maps 128 MME task positions to IFRS Sustainability Disclosure Standards and SASB source relationships, and candidate GRI topic and disclosure routes. It preserves the distinction between financial and impact materiality, without …
Andrew P. Yu
This guide provides a methodology to map 128 MME task positions to licensed IFRS Sustainability Disclosure Standards and SASB Standards source relationships, and candidate TNFD nature-related routes, including LEAP-related evidence relation…
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