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 361–380 of 4132 papers
Zhang Y.
This paper empirically analyzes the impact of China's carbon emission trading scheme (ETS) on corporate ESG performance. Using policy implementation as a quasi-natural experiment, it examines whether ETS participation improves firms' ESG sc…
Lei Y.
This paper evaluates the impact of China's carbon emissions trading scheme (ETS) in Guangdong on optimizing manufacturing structure, using a synthetic control approach. It provides causal evidence on whether ETS promotes industrial upgradin…
Amel Mahmood Ali Alobaidi
This study examines the impact of voluntary climate anxiety disclosure on investor behavior using mixed methods: textual analysis, archival data, and experiments. Disclosure significantly predicts investor behavior, moderated by firm size a…
Sinhika Deshmukh, S. Karve
This study proposes and evaluates a blockchain-enabled traceability framework for Tata Steel's supply chain. Scenario modeling suggests traceability coverage could rise from 42% to 98%, scrap reuse from 60% to 88%, enabling an estimated 3.0…
Yong Li, Zi Shuang
Using 4,501 Chinese A-share firms (2009-2024), this study finds climate risk disclosure (CRD) positively associated with ROA and Tobin's Q. Pathways include lower financing costs and greater green innovation. Institutional ownership and acc…
Amira Tarek Ibrahim Metwally, Sandra Ibrahim Mikhael Ibrahim
This study examines how ESG performance and ESG washing affect firm value in the context of digital financial system development. Using panel data from global ESG Leaders Index firms (2018-2023) and fixed-effects regressions, it finds that …
Tom Krusche, Alina Winter, Alessia Fulvimari
This study assesses the distributional impacts of the EU ETS2 on households across 27 member states using microsimulation, revealing heterogeneity across income groups and countries. It simulates Social Climate Fund-eligible mitigation meas…
Wang-Chen Yang, H. Arian, Cui-Cui Luo
This paper proposes a constrained residual learning framework for portfolio optimization in China and Europe's carbon markets. It applies machine learning to capture carbon price dynamics and optimize risk-return trade-offs, offering improv…
Richard Bodó, András Torma
This bibliometric study maps carbon dioxide removal (CDR) research from 2016 to 2025 using 4,281 Web of Science records. Output surged after 2019, aligning with net-zero targets. Four thematic clusters emerged, but the direct link between e…
Hannes Cordes
This systematic review maps NLP tasks used to analyze sustainability reports, categorizing 160 studies hierarchically. It finds keyword search, content analysis, and topic modeling are most common, and highlights limitations such as linguis…
Sofiіa Kafka
This paper proposes an analytical methodology to integrate non-financial reporting into strategic management under CSRD/ESRS and Omnibus I, based on double materiality. Using hybrid weighting combining ESRS materiality, expert evaluation, a…
Rongyu Ji
This qualitative case study of Microsoft examines how ESG information disclosure affects capital market performance in AI enterprises. It finds that completeness, openness, and AI-specific governance of ESG disclosure are high, with respons…
Léo Staccioli, José Gallego, Milena Nasner +1
This study assesses carbon footprint of defect repair in wind turbine blade manufacturing across three configurations: baseline, optimized infusion, and sensor+ML. Optimized infusion cuts repair CO2 by 30.4%, ML by 19.5%, less than its 32.1…
Atul Khanna, Abhishek Shukla
As AI workloads grow, data center electricity demand and carbon emissions rise sharply. This paper argues from an operations perspective—not hardware design—that workload placement, energy- and carbon-aware scheduling, right-sizing, inciden…
Dongyang Fan, Carlos M. Duarte, Faming Wang +18
Macroalgae are important for ocean carbon cycling, but the spatial distribution of their coastal carbon burial is poorly known. This study provides a high-resolution global assessment, finding that depositional environment controls burial, …
Siyan Chen
Using a Difference-in-Differences model on Chinese A-share listed companies, this paper finds that improved carbon information disclosure reduces corporate financing constraints. It also explores the moderating effect of ownership nature, p…
You-Ren Wang
This repository provides code and derived data analyzing the financial incentives of blue carbon finance mechanisms for mangrove protection in Southeast Asia (Indonesia, Malaysia, Philippines). It compares avoided-loss crediting signals aga…
Meng Li, Xuedong Wang, 肖旭倩
This paper theorizes the legal basis for protecting blue carbon ecosystems under international law, arguing that monitoring, reporting, and verification (MRV) is a binding obligation under UNCLOS Articles 192, 194, and 204-206, independent …
Xinyi Wei, S. K. Kot-Cheung, Jing Sun
This review systematically analyzes Direct Air Capture (DAC) technology using a performance-transfer framework from molecular binding to material shaping, contactor operation, regeneration, and storage. Surveying the past decade of literatu…
Oyetola Ogunkunle, Emmanuel Uche, Kinsgley I. Okere +1
This paper systematically evaluates AI contributions to low-carbon energy production using bibliometric analysis and SWOT appraisal. It identifies research trends, key themes, and strengths, weaknesses, opportunities, and threats, offering …
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