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 981–1000 of 31536 papers
Khan K.
A bibliometric analysis using Biblioshiny that maps the research landscape of the green bond market. It visualizes thematic trends, key authors, and influential works, offering an overview of how green bond scholarship has evolved. The cont…
Tian D.
A study examining a carbon-friendly ecological cultivation mode for the medicinal herb Dendrobium huoshanense, grounded in greenhouse gas emission measurement. It offers empirical insight into agricultural emission reduction and carbon acco…
Li T.
An agronomic study showing that combining legume rotation with optimized nitrogen management can raise cotton yield while mitigating greenhouse gas emissions in a jujube-cotton intercropping system. It targets the trade-off between nitrogen…
Zhao M.
A simulation study estimating greenhouse gas emission reductions over several years after converting cropland into paddy fields in southern China. It assesses how land-use conversion alters carbon and methane balances over time, offering em…
Zhou Y.
This work addresses the construction and demonstration of net-zero industrial parks, aiming to show decarbonization pathways for industrial clusters via renewable energy and energy integration. No abstract is available, so the region, metho…
Ting-Gui Chen, Jiawen Ye, Bing Wang
Using life cycle assessment, this study quantifies carbon emissions across four stages of China's construction industry and applies social network analysis and QAP regression to examine the spatial correlation network of emission intensity.…
(著者不明)
This work addresses coordinated operation of an electro-hydrogen combined energy system aimed at peak load reduction and carbon emission reduction. It likely couples renewable-powered electrolysis with hydrogen storage for demand shifting a…
Yan-Song Zhang, Yi-Xin Liu, Bo Zhao +6
This paper proposes a bilevel scheduling framework for wind-powered green hydrogen-to-ammonia systems. The upper layer uses a physics-informed neural network (TS-PINN) to capture nonlinear ammonia synthesis dynamics with reduced computation…
Zipeng Liang, C. Chung, X. Yin +3
This paper proposes an energy management framework for hybrid microgrids integrating renewables, hydrogen storage, and EVs. It combines a data-correlated uncertainty set with a semi-convex relaxation to handle non-convex constraints and RES…
(著者不明)
This study models the levelized cost of hydrogen (LCOH) for green hydrogen produced from curtailed renewable electricity. By using otherwise-wasted surplus power as a cheap input, it explores pathways to lower hydrogen costs. Without an abs…
Chuning Su, Huangcan Hu, Shucen Liu +6
This study overcomes thermodynamic limits of CO2-to-methanol (CTM) by coupling it with dehydration reactions using propylene oxide and olefins, validated via Aspen simulation and experiments. It achieved a record single-pass methanol yield …
H. B. T. P. Jayathilaka, Shiyan Zhai, Yuke Feng
A bibliometric review of 3,291 publications (2007–2025) on AI, climate change, and sustainable development, analyzed via Bibliometrix and VOSviewer. It finds 38.29% annual growth, China/US leadership, and four research clusters: AI-driven d…
Xinyi Zhang, Yu Jing, Chunhui Ma +2
Using a two-way fixed-effects model across 39 major producers (1992–2023), this study assesses climate impacts on real maize prices. Growing-season temperature shows a U-shaped relationship with a turning point near 15.3°C, and a one-SD ris…
Yuying Yue, Yu Qiang Lin, H. Y. Xing +2
This paper applies a hybrid deep learning model to forecast EU ETS carbon prices across multiple time scales, validated across different trading phases. Improved carbon price forecasting directly supports corporate carbon cost management an…
Murali Krishna Pasupuleti
This monograph proposes a research architecture linking financial statements, management commentary, sustainability metrics, climate-risk evidence and operational telemetry via multimodal AI. It frames reporting quality as a joint function …
Luz Pájaro Rodríguez, Eliud Palomino Prens
This conceptual paper critically examines the social value and moral content of sustainability reports. Drawing on Kantian ethics, it argues that disclosure driven by hidden corporate motives lacks moral content, and that weak participation…
Huthifah Al-Hazaima
Survey of 410 representatives from Amman Stock Exchange-listed firms analyzed via PLS-SEM. ESG disclosure quality, corporate reputation, stakeholder trust, and green innovation are all positively associated with perceived investment attract…
Heba Ali
Using 23,211 firm-year observations across 5,870 G-7 listed firms (2019–2024) with fixed-effects and 2SLS regressions, this study examines whether SDGs disclosure mitigates the negative impact of ESG controversies on firm value. Firms expos…
Arzal Syah, Zainuddin, Kartini Hanafi +3
Using panel data from 32 Indonesian banks (2022-2024, 96 observations), this study tests whether ESG governance moderates the links between carbon emission disclosure, green financing strategy, and financial performance. Random effects resu…
Shibo Bian, Jinjie Liu, Xunxiao Wang +1
Using data from Chinese investor interaction platforms, this study examines how retail investor attention relates to firms' voluntary ESG disclosure. The positive association is stronger for firms with better ESG performance, larger size, s…
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