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 2021–2040 of 4137 papers
Saira Baloch, Kaneez Fatima, Nadir Khan +2
This study analyzes the impact of ESG disclosure on accounting and market-based performance of 1,406 listed firms across 11 Asian economies from 2002 to 2023. Using panel regression, Granger causality tests, and SEM, it finds that ESG discl…
Dewasiri N.J.
This paper presents case studies of green bonds, renewable energy financing, and innovative funding models for sustainable projects. It analyzes how these mechanisms promote sustainable development and deliver returns to investors. The find…
Liu C.
This paper empirically examines how corporate greenhushing (underreporting of environmental initiatives) affects the cost of equity capital. Findings suggest that greenhushing increases perceived risk and raises the cost of capital, indicat…
Zwickl-Bernhard S.
This paper analyzes the impact of the EU Carbon Border Adjustment Mechanism (CBAM) on the LNG market, focusing on carbon price and uncertainty from major suppliers. It explores how CBAM may affect LNG pricing and supply security, highlighti…
Peixoto E.
This paper proposes an architecture for monitoring and reporting ESG indicators in AI-driven value chains. It automates data collection and analysis across the supply chain, facilitating stakeholder reporting. By leveraging AI, it enables m…
Iqra Mubeen, Samina Rauf
This paper investigates whether ESG sentiment generated by LLMs can predict portfolio risk. It finds that positive ESG sentiment correlates with lower volatility and downside risk, while negative sentiment increases risk exposure. LLMs outp…
Youxia Tong, Samuel Duku Yeboah, Michael Provide Fumey
This study uses 1996-2023 data from G7 economies to examine whether institutional quality protects against energy-related risks and promotes renewable energy adoption. Using quantile-on-quantile regression, it finds heterogeneous effects: J…
Zhongxiu Chen, Zhehao Huang, C ZHANG +1
This paper proposes a carbon price dynamics model combining jump-diffusion and higher-order hidden Markov switching. It captures price volatility and regime shifts in carbon markets, aiding forecasting and risk management.
Yunchao Zhuang, Kui Xu, Lingling Bin +4
This study evaluates global wind and solar energy sustainable development potential under climate change scenarios and explores regional joint optimization. It provides insights for renewable energy deployment planning and climate adaptatio…
Shuai Li, Pei Yu, Z J Yang +1
This supplement accompanies research applying machine learning (XGBoost, Bayesian optimization) to low-carbon concrete mix design. It includes material-stage emission factors, optimized hyperparameters, minimum-embodied-carbon candidate mix…
Brook Waldman, Jordan Palmeri, Kathrina Simonen +1
This paper proposes a theory of change for Buy Clean policies, linking interventions (e.g., EPD requirements) to outcomes like reduced embodied carbon and low-carbon market creation, and offers indicators for evaluating policy effectiveness…
Chengcheng Zhao
This paper develops a comprehensive framework integrating LCA, TEA, and optimization to evaluate circular low-carbon pathways in transport and energy. Applied to urban buses, passenger vehicles, and e-SAF in Saudi Arabia and globally, it fi…
Ummesara ., Chaitanya Kumar Sahu, R Ranjith +5
This review integrates trends in AI-enabled regenerative agriculture (RA) to promote climate resilience. AI tools (ML, remote sensing, IoT) enable dynamic monitoring of soil/crop health, carbon accounting, and adaptive farm management, acce…
Pyung Kim
Using South Korea's unique dual regulatory framework where an ETS and a command-and-control program (TMS) operate in parallel, this study compares carbon pricing with prescriptive regulation at the firm level. Difference-in-differences anal…
Sergei G.
This paper empirically analyzes yields in the European green bond market, investigating the existence and magnitude of a 'greenium' (price premium) compared to conventional bonds. It provides insights into issuer and investor behavior in gr…
Grigorieva S.
This paper analyzes the returns and valuation of green bonds as safe assets in global, Russian, and Chinese markets. It identifies the drivers of green bond returns and examines the safe-asset effect, providing insights for transition finan…
Ali Q.
This paper analyzes the relationship between electric vehicle (EV) adoption and carbon emission coefficient factors in European power systems. It quantifies the impact of EV penetration on overall grid emissions and highlights how regional …
Yusuf B.O.
This paper reviews recent developments in carbon dioxide capture and utilization (CCU) technologies, focusing on novel catalysts, processes, and economic assessments to achieve net-zero emissions and mitigate climate change.
D. R, Santhosh Kumar A G
This secondary data analysis (2020-2025 sources including Bloomberg, MSCI, World Bank) examines AI's role in ESG integration and sustainable finance. It finds that NLP and ML improve ESG data coverage by up to 40% and enhance climate risk p…
Murali Krishna Pasupuleti
This paper proposes the Generative Climate-Aware Deep Hedging (G-CADH) framework, which combines deep hedging with generative market models to manage portfolio risk and financial resilience under climate change. It integrates a conditional …
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