This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 18021–18040 of 20379 papers
Pan Yang, Yanfang Zhao, Lin Yang +2
This paper analyzes how information influences carbon emissions trading efficiency and corporate green investment. It reveals that reducing information asymmetry enhances the signaling function of carbon prices, promoting firm-level decarbo…
Zhonghua Cheng, Leyan Jiang
This study empirically examines whether carbon emissions trading increases corporate carbon risk premium. It finds that the introduction of trading schemes can lead to market pricing of carbon risk, potentially raising the risk premium. The…
Pradeep Marula Siddappanavara, Jayashree P
This review synthesizes mechanisms of carbon instability in mangrove blue carbon stocks due to acute (cyclones), chronic (sea-level rise), and synergistic (coastal squeeze) climate risks. It identifies a gap between market standards (Verra)…
Luca Zanin, Raffaella Calabrese
This paper uses NGFS scenarios in a survival analysis framework to project forward-looking PDs for 3.9 million SME securitised loans in Belgium, Italy, and Portugal up to 2050. Results show short-term PD increases under stringent climate po…
Maozhen Li, Yong Li
This study examines the impact of biodiversity risk disclosure (BRD) on corporate default risk using a sample of Chinese A-share listed firms from 2015-2023. By constructing a text-based BRD indicator, the authors find that BRD significantl…
Nanyan Dong, Jingyi Sun, Sicheng Luo +1
This study empirically examines the impact of mandatory ESG disclosure on labor share using evidence from China. It finds that mandatory disclosure requirements can increase labor share, suggesting that ESG transparency promotes fairer labo…
Shiva Balliram, Eduardo Pereira, Mostapha Al-Masry
This paper analyzes the disparity between climate finance contributions and military spending by major polluters, with a focus on the Climate Loss and Damage Fund (CLDF) established at COP27/COP28. It highlights the need for innovative fina…
Zhongyi Xiao, Ruoxi Ren, Huan Peng +1
This paper demonstrates that diversity within audit committees acts as a catalyst for higher quality corporate ESG disclosure. Diverse audit committees promote more comprehensive and transparent ESG reporting, benefiting investors and stake…
Hichem Dkhili
This study examines how climate risk disclosure affects corporate resilience and competitiveness using European firm panel data (2010-2024). Findings show that disclosure positively impacts competitiveness (financial performance, innovation…
Shuhua Zhang, Tong Wang, Yulu Ma +2
This paper analyzes optimal carbon pricing under climate uncertainty using a dynamic climate-economy model. It quantifies how uncertainty affects carbon price pathways and provides policy insights.
Hany Elbardan, Benjamin Awuah, Renata Konadu
This study investigates whether climate-linked executive compensation contracts improve corporate carbon performance. Using firm-level emissions data, we find that climate contracting leads to significant reductions in Scope 1 emissions, pa…
Elena Fedorova, Svetlana Ledyaeva, Elena Meshkova +2
This study examines how cultural factors influence ESG disclosure practices and their impact on bank performance across different continents. Findings suggest that cultural dimensions like individualism and uncertainty avoidance moderate th…
Kun Luo, Jiale Xue, Puspavathy Rassiah +1
This paper explores the use of AI to align ESG disclosure with actual corporate practices. It proposes methods using NLP and machine learning to enhance the reliability of disclosed information.
Taoufik Elkemali
Using 12,025 European firm-year observations, this study finds that R&D intensity positively influences ESG disclosure, with board independence strengthening this link. It highlights innovation-related informational frictions as a key deter…
Sujin Kang, Ahreum Kim, Iju Kang +3
This paper analyzes industry-specific responses to Scope 3 emissions categories using CDP disclosure data. It reveals which categories are prioritized by different industries and assesses disclosure quality and completeness. Findings show s…
Zhao Zhang, Bing Zhang, Jiyuan You +2
This paper empirically examines the relationship between ESG disclosure quantity and firm value, finding that more disclosure is not always beneficial. It suggests that excessive disclosure may impose information costs and noise, highlighti…
Abdullah Almutairi
This study examines the impact of climate change disclosure on the cost of debt using a sample of 83 Egyptian listed firms. It finds that climate change disclosure reduces the cost of debt, and that political connections and ESG disclosure …
Jie Peng, Jianmin Dou, Liping Li
This study empirically examines how peer effects in climate risk disclosure drive corporate green innovation. It analyzes the spillover impact of disclosure practices within industries and provides policy implications.
Lopamudra Nayak, Jiwan Jhunjhunwala
This paper assesses the quality of climate scenario disclosures under TCFD and BRSR in high-emission industries in India. It evaluates completeness and consistency, identifying gaps between regulatory expectations and corporate practice, an…
Wenqin Du, Peng Liang
This paper examines how power infrastructure influences corporate climate-related disclosure. It likely highlights the importance of grid characteristics for Scope 2 emissions accounting and disclosure quality. The study may explore links b…
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