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 4041–4060 of 24476 papers
Nguyen Q.T.
This empirical study examines how ownership structure and board characteristics influence CSR disclosure levels among Vietnamese listed firms. It finds significant associations between governance factors and disclosure extent, contributing …
Moshrefi S.
This paper proposes a product portfolio analysis approach to operationalise science-based targets (SBTs). By allocating carbon budgets to individual products and prioritising decarbonisation efforts, it provides a practical pathway for comp…
Siew R.Y.J.
This study empirically examines how ESG disclosures and institutional ownership influence market information asymmetry. Findings likely indicate that better ESG disclosure reduces information asymmetry, with institutional ownership potentia…
Gani A.
This study compares greenhouse gas emissions from cereal and livestock production across high-, middle-, and low-income countries. It highlights differences in emission intensities and total emissions by income level, offering baseline data…
Weier K.L.
This paper questions whether sugarcane fields act as sources or sinks of greenhouse gases, examining the carbon balance of agricultural land and its climate impact. As no abstract is provided, specific findings are unknown, but the work lik…
Chiles R.M.
This paper examines the epistemological, ethical, political, and practical challenges in addressing greenhouse gas emissions from agriculture, and explores ways to reconcile these dimensions. It argues that effective mitigation requires int…
Rangel A.M.
This study evaluates the performance of infrared heating within a Passivhaus design, examining its viability for achieving net zero housing. It assesses energy use, thermal comfort, and practical implementation challenges, contributing evid…
Shen K.
This paper develops a framework integrating Building Information Modelling (BIM) and digital twins to support whole-life-cycle net-zero-carbon buildings. It addresses both operational and embodied carbon, aiding decision-making across desig…
Moreno-Rangel A.
This paper examines net-zero homes and the Passivhaus standard, focusing on energy efficiency practices and decarbonization pathways for residential buildings. It likely evaluates the effectiveness of high-performance building standards and…
C. Subramanyam
This paper proposes a multimodal AI framework that integrates financial ratios, annual report intelligence, and news sentiment to provide early warnings of credit rating transitions. Demonstrated through a case study, it offers an explainab…
Inyada, Sunday Joseph
This survey study (N=237) examines how financial statement auditing, internal control assurance, audit quality, and assurance services affect accounting information quality. All four dimensions show significant positive impacts on credibili…
Maf’ul Taufiq, Weny Putri, Mifthahul Jannah +1
This study analyzes the impact of carbon accounting disclosure and audit quality on corporate efficiency using panel data from 2019–2023 for Indonesian industrial sector firms. Results show that carbon disclosure positively affects efficien…
Zihang Wang, Ling Zhang, Mengmeng Pu
This study develops a machine learning framework to predict project-level embodied carbon emissions in buildings across design stages, using data from 78 projects (426 buildings). The residual-corrected weighted ensemble model achieved the …
Sadhasivam Mohanadas, Leela Prasad Gorrepati
COSMOS-R2 proposes an AI-driven autonomous cloud scaling method using Constrained MDP control, enforcing risk bounds and carbon caps while optimizing resource allocation. It addresses the trade-off between carbon emissions, performance, and…
Sankarshanan V. V., Uday Shankar, Arindam Basu
This legal-policy analysis examines India's Carbon Credit Trading System (CCTS) 2023, a domestic mechanism tied to Paris Agreement Article 6. It highlights ambiguous additionality rules, fragmented institutional arrangements, and weak overs…
Yuru Guan, Yang Wang, Ruoqi Li +7
Using micro data from China's Household Survey and an environmentally extended input-output database, this study compares monetary- and physical-based carbon footprints. It finds systematic differences across household groups (-9% to +7% at…
Xiaoli Hao, Liang Hongze, Qingyu Sun +2
This study empirically examines the impact of financial inclusion (FI) on carbon productivity (CP) across 33 OECD countries from 2010 to 2019. It finds that FI directly enhances CP, with partial mediation through low-carbon consumption, ene…
Hong Yuan, X. D. Nguen, Chung Thi Xuan Nguyen +1
Using survey data from 380 carbon-intensive manufacturers in Vietnam, this study shows that carbon pricing perception promotes environmental strategy and improves firm performance directly and indirectly. However, the positive effect only h…
Yiwei Ren, Xunhuan Li, Siyou Xia
This study compares how the renewable energy transition affects energy security and equity in developing versus developed countries, revealing divergent outcomes and implications for policy design.
Ryohsuke Tanaka
This paper proposes an evaluation method for sustainability disclosure information in ESG investment decision-making, focusing on how investors should assess the quality and reliability of disclosed data and providing a practical evaluation…
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