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 24341–24360 of 36154 papers
SangYoun Kim, T. Woo, Usama Ali +8
This systematic review of 906 publications (2016-2025) categorizes AI applications into flue gas treatment, air quality management, and CO2 capture. It identifies a shift from traditional monitoring to AI-driven surrogate modeling and gener…
J. Pandit
This oral presentation introduces CO2CRC's novel hybrid capture technology that reduces solvent regeneration costs through lower regeneration temperatures, reduced steam consumption, waste heat integration, and elimination of phase change, …
A. K. Alsharidi, Abiodun Toheeb Emiola
This study empirically evaluates how financial systems (development, inclusion, FinTech) affect carbon emissions and renewable energy adoption in 22 OECD economies (2012-2023). It finds that financial development alone increases emissions, …
Yunmei Wu, Hua Huang, Xunyan Bao +3
This paper analyzes the low-load trap in hydrogen systems and proposes a nested RIS-PTE framework for regional synergy in China's Yangtze River Delta.
Chenguang Zhu, Zongke Li, Liu Ning +2
This paper proposes an optimization method for energy system planning in zero-carbon industrial parks. It integrates hybrid mixed-integer conic optimization with hierarchical scheduling to jointly plan source, grid, load, and storage, aimin…
Ritik Raj, Survi Sinha, Atreyi Pramanik +1
This paper reviews how AI enhances efficiency, sustainability, and system integration across the hydrogen value chain. AI modeling and optimization improve environmental impact assessment of hydrogen production routes like waste polymer and…
Cheng Huang, Yang Qu, Meijuan Fei +7
A self-sustained green hydrogen production system for arid regions combines atmospheric water harvesting with protonic ceramic electrolysis. Using a novel sorbent, it achieves continuous hydrogen output at 2.12 mL min−1 cm−2 under 30% RH wi…
Nisha Rajani, Sanjay A. Bhakhar, Pratik M. Pataniya +1
This study employs operando Raman spectroscopy to investigate catalyst structural and interfacial dynamics in industrial green hydrogen electrolyzers, providing insights for improving electrolyzer efficiency and understanding degradation me…
V. Kumari, Waleed M. Al‐ahdal, H. Hashim
This study uses event study methodology to examine the stock market reaction to the implementation of the Corporate Sustainability Reporting Directive (CSRD) across 27 European Economic Area countries. Results show a significant positive cu…
Taedong Lee, Sinjae Kang, D. Utami +1
This study analyzes 634 sustainability reports (2014-2024) from the top 200 Korean firms using Structural Topic Modeling (STM). It identifies 13 topics and a phased shift: CSR and basic environmental management (2014-2018); workplace safety…
Lakshmi Narasimha Prasad Nagaragere, Dr.S. Prabakar
Proposes a vernacular ESG transformation model rooted in South Asian institutional cultures. Using AI-based environmental impact assessment and ESG reporting tools, the study demonstrates through pre/post case studies in family-owned busine…
H. Tatsad
This paper proposes a BRSR-based assessment framework integrating Occupational Health and Safety (OHS) into ESG social performance for manufacturing industries. It defines five dimensions (Governance, Risk Management, Employee Well-being, S…
Rasha Fallatah
This study examines how corporate governance quality (board independence, gender diversity, audit committee activity) influences ESG disclosure levels in Saudi listed firms using panel data from 2019-2024. It expects positive associations, …
Yudan Hartawan, Acep Komara, Mada Purwanto W. N
This study analyzes the influence of accounting information system utilization and social performance on sustainability disclosure quality, using data from companies listed on the IDX KEHATI ESG Quality 45 index over 2021-2024. Quantitative…
Yana Oliinyk, D. Saienko
This paper examines the role of sustainability reporting for state-owned enterprises in the security and defense sector. It analyzes international frameworks (GRI, ISSB, CSRD, ESRS) and argues that such reporting enhances transparency, econ…
Кonstantin Lagunov, Andriy Shvaher
This conceptual paper argues that sustainability reporting provides a comprehensive information base for assessing economic security risks of business entities. It demonstrates how disclosures based on ESRS can serve as analytical tools for…
Evana Pasaribu, Ressa Uli Patrissia
A case study of PT ABC Tbk, a large Indonesian coal mining company, using SWOT analysis integrated with GRI material topics to assess its 2024 sustainability report. The company's ESG performance is average (internal score 2.16, external 2.…
S. Komalasari, Khalilul Rahman, Andesta Brilian Nelson
This study examines the relationship between sustainability disclosure (measured by GRI indicators) and corporate performance of Indonesian state-owned enterprises (SOEs) from 2018 to 2022. Using regression analysis on 61 non-bank SOEs, it …
Muhammad Iif Fahruddin, Bustanul Ulum, Anisaul Hasanah
This study examines the effect of profitability and liquidity on sustainability disclosure and the moderating role of market ratio, using a sample of 50 manufacturing firms listed on the Indonesia Stock Exchange. Results show that profitabi…
Manav Gangar, Nikhil D'Souza, Rishika Kapasi +2
This paper proposes a machine learning framework for detecting greenwashing by combining supervised classification and unsupervised anomaly detection. It introduces a Greenwashing Discrepancy Score (GDS) to quantify the mismatch between fir…
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