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 3121–3140 of 4154 papers
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This study empirically investigates the causal effect of ESG rating uncertainty on trade credit financing. It finds that firms with higher ESG rating divergence receive less trade credit from suppliers, highlighting the real economic impact…
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This paper examines the impact of China's green finance policy on corporate ESG behaviors. It finds that the policy significantly reduces strategic (symbolic) ESG actions, especially in pollution-intensive industries, promoting genuine 'wal…
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This study empirically analyzes the impact of emissions trading systems (ETS) on emissions reductions and renewable energy adoption using panel data. Findings support ETS as an effective tool for decarbonization.
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This paper revisits the case for a carbon tax as an efficient and effective market-based mechanism to reduce CO2 emissions. The author argues that a carbon tax is economically superior to direct regulation and simpler and more transparent t…
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This paper provides a detailed analysis of IFRS S1 and IFRS S2, the two inaugural ISSB standards. It compares their requirements with existing frameworks like TCFD and CDP, and offers practical insights for implementation. The article also …
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This paper empirically analyzes why institutional investors request climate-related disclosures and whether these requests lead to actual reductions in corporate carbon emissions. It identifies conditions under which investor engagement dri…
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This paper empirically analyzes the impact of the EU's climate disclosure framework (including the Taxonomy Regulation) on bank lending. It shows that disclosure requirements affect loan conditions and volumes, evaluating the effectiveness …
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This paper analyzes the determinants of TCFD adoption and its impact on firm performance. It finds that firm characteristics and regulatory environments drive adoption, and adopters experience lower cost of capital and improved market valua…
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This paper empirically demonstrates that the threat of proposed Scope 3 disclosure requirements induces real changes in corporate decisions, such as supply chain emission reductions and business restructuring.
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This paper proposes a human-AI collaboration framework using LLMs for creating benchmark datasets for ESG rating agencies. It achieves efficient and high-quality dataset construction, contributing to standardization in ESG evaluation.
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This industrial survey examines how financial institutions use NLP to extract unstructured ESG data from financial reports, news, and filings. It provides an overview of data extraction methods, value creation potential, and practical chall…
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This paper examines the relationship between firms' biodiversity-related disclosures and stock returns and idiosyncratic risk, providing empirical evidence on how greenwashing concerns affect market valuations and investor perception.
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This chapter interrogates the potential of green taxonomies as instruments for system change, referencing the Paris Agreement, and critically examines their role in driving systemic transformation within financial systems.
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This paper discusses corporate climate transition planning following the Omnibus regulatory overhaul. It emphasizes the need for companies to fundamentally rethink their strategies, operations, and business models to align with a climate-ne…
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The ECB plans to introduce climate criteria in its collateral framework from late 2026 to address transition risks. This paper explores additional options for greening central bank monetary policy operations, discussing how to balance clima…
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This paper proposes a methodology for automating the analysis of ESG disclosures in the oil and gas sector. It demonstrates scalability and adaptability for extracting insights from large-scale disclosure documents, highlighting potential f…
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This paper analyzes the EU regulatory framework to redirect private capital for the green transition, focusing on three pillars: a science-based taxonomy, disclosure obligations, and investment tools. It examines how these components aim to…
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This paper analyzes that the EU needs investment equivalent to 5% of GDP in 2025-2030 to meet its Net Zero 2050 target, and examines financing strategies under the European Climate Law (Regulation (EU) 2021/1119). It focuses on policy frame…
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This paper analyzes the economic impact of the EU's Carbon Border Adjustment Mechanism (CBAM). It examines policy scenarios for the net zero transition leading up to the 2026 carbon tariff implementation, offering insights for Japanese expo…
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This paper proposes a method to detect greenwashing by leveraging LLMs to analyze the gap between ESG disclosure and performance scores. Using large language models for text analysis of corporate sustainability reports, it identifies false …
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