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 281–300 of 1324 papers
José Ignacio Olmeda Martos, Carlos García-Llorente
This paper proposes a digital energy justice framework to govern AI's growing electricity demand. It outlines three pillars: mandatory energy/carbon transparency per service, regulatory classification of AI uses by social value, and proport…
Shan He, Bin Xu
Using China's staggered ETS rollout and a multidimensional energy poverty index, this paper finds that carbon pricing increases energy poverty, with impacts front-loaded in the first two years. The effect is larger in temperate provinces wi…
Ambika Zutshi, Diane Zandee, Andrew Creed
This paper positions AI as a critical enabler for the transition to a circular economy, using the 10R framework to explore AI applications across circularity levels. It highlights how AI can identify opportunities for material reduction, pr…
Gordillo Gutiérrez, Guadalupe Adriana
This paper compares IFRS S1/S2 with GRI and TCFD across three dimensions: materiality concept, primary audience, and integration with financial information. It finds that GRI uses dual materiality (both impact of environment on company and …
Victoria Omeire, Okechukwu Okorie, Paul Mativenga +2
This study conducts a systematic literature review on Scope 3 emissions modeling in high-value manufacturing, revealing fragmentation among existing approaches (game theory, MRIO, simulation). It proposes a hybrid modeling framework integra…
Thomas Fugger, Joseph Poligkeit, Christoph Herrmann
This paper develops sectoral decarbonization pathways (SDPs) for major automotive OEMs from 2020-2050, comparing current corporate targets against well-below 2°C and 1.5°C pathways. It finds that published OEM targets are insufficient in sc…
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In April 2025, the IMO approved the Net-Zero Framework. This paper analyzes legal and non-legal challenges to its implementation, focusing on regulatory effectiveness and international cooperation for shipping decarbonization.
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This paper argues that mandatory corporate carbon disclosures are essential for the transition to a net zero economy. They provide the information policymakers and asset managers need to manage carbon transition risk, and potentially offer …
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This paper examines the paradoxical relationship between net-zero by 2050 targets and current carbon neutrality claims, arguing for scientific consistency in definitions and practices, with implications for global climate policy and corpora…
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Using proprietary hand-collected data, this paper examines how firms use third-party carbon offset credits to claim emission reductions, empirically assessing offset effectiveness and the risk of greenwashing.
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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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