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 221–240 of 28118 papers
Luis Martín-Domingo
A podcast summary of research analyzing European airlines' sustainability reporting progress, regulatory compliance, and remaining challenges. It examines how disclosure mandates such as CSRD affect the aviation sector and current corporate…
Kabir Ibrahim
Using two-step system GMM on seven listed Nigerian oil and gas firms (2016-2025), this study tests how ESG disclosure affects share price. Environmental and social disclosures significantly raise market valuation, while governance disclosur…
Katherine Natalie, Andri Mauludi
Using 30 Indonesian consumer non-cyclical firms (2021–2025) and moderated regression, this study tests ESG disclosure and tax avoidance effects on profitability. ESG disclosure showed no significant effect, while effective tax rate positive…
Arum Prastiwi, Ferica Christinawati Putri, Yetri Martika Sari
Using a panel of Indonesian listed commercial banks, this study finds the ESG disclosure valuation premium is positive but declines as digital disclosure intensity rises, becoming indistinguishable from zero among the most digitally advance…
Aso Abdullah
Using 79,260 firm-year observations (13,211 listed firms, 2020–2025), this study examines how disclosed circular implementation, circular accountability, and circular-specific assurance relate to sustainable development. Implementation and …
Isnaini Nuzula Agustin, Frendy Wijaya, Lusianus Heronimus Sinyo Kelen +1
Using Indonesian Stock Exchange non-financial firms (2016-2024), this study examines carbon risk's effect on stock performance and AI innovation's moderating role. Carbon risk marginally lowers returns and raises volatility, while AI innova…
Selvakumar P, M. Sivaraja, Gayatri Kumar +1
This review examines green governance for data centers amid surging digitalization and energy demand. It argues that embedding efficiency, renewable procurement, circular economy, and transparency into core decision-making lets data centers…
XIN Gongfeng, LI Xuan, YANG Yanfeng, MA Chuanyi, JI Xiaoge, FEI Xiaoqin, SHAO Yingying
A lifecycle carbon emission model compares solid-waste-based porcelain aggregates with clay-based aggregates in China. Emissions reach 313.70 and 291.19 kg/t respectively, with production dominating over 84%. Sensitivity and scenario analys…
Deema Amleh, Shireen Bader Alqadi
A systematic review and climate-sensitive evidence map of urban nature-based solutions (NBS) and directly measured health responses in adults aged 60+. It traces evidence chains from NBS intervention through environmental change and human e…
Brian Downes
Public enterprises manage much of the land and infrastructure that nature-based solutions (NbS) depend on, yet little is known about their adoption, financing, or barriers. This paper summarizes a systematic review of international evidence…
Omran Abushammala, Rainier Hreiz, Cécile Lemaître +3
This work develops a hydrodynamic design methodology for cross-flow hollow fiber membrane contactors (HFMC) enabling low-pressure CO2 capture via physical absorption. Using Ergun and Hagen-Poiseuille pressure-drop models, optimal bundle dim…
Xiaoyu Li, Jie Chen, Bo Zhang +1
This work develops amine-montmorillonite composite aerogels formed via polyethyleneimine-induced gelation as solid sorbents for CO2 capture. The clay-amine composite design targets high-performance, sustainable carbon capture. Quantitative …
Lu Shi, Dandan Liu, Wanying Wang +1
Lignin-based N-doped porous carbons were prepared via mechanochemical-assisted activation using four nitrogen sources. The melamine-derived sample achieved 4.25 mmol/g CO2 uptake at 273 K/1 bar with CO2/N2 selectivity of 11 and stable cycli…
WANG Jing, JIANG Mingyue, WANG Shuyang
Using 2014-2023 data from nine Yellow River provinces, this study builds a green innovation capacity index and analyzes its spatial-temporal evolution via super-efficiency SBM-GML, Dagum Gini decomposition, and kernel density estimation. Fi…
Jiongxin Chen, Jianjun Zhang, Shu Fu +3
This study decodes geospatial patterns of agricultural emissions across China's intensive cropping regions and assesses differentiated mitigation potential by area. It highlights the need for spatially tailored low-carbon agriculture strate…
Jianhua Ma, Yongzhang Zhou, Xian Liu +2
This paper proposes Mini-CarbonLLM, a resource-efficient knowledge-augmented LLM framework for environmental decision support in carbon neutrality engineering. By augmenting domain knowledge externally rather than scaling model size, it ena…
Rocio Belen Lopez Scribante, Marc Djahangard, Rasoul Yousefpour
Simulating five spruce stands in Freiburg from 2020-2080 (480 runs), this study compares no-management, business-as-usual, conventional, and transformative certification scenarios. Management and mortality dominate biomass outcomes; transfo…
Mingyue Li, Qizhi Tao, Di CHEN +1
Using Chinese listed polluting firms, this study shows that jointly implementing an environmental protection tax and a carbon trading pilot synergistically improves ESG performance, while neither policy alone suffices. The synergy works thr…
Tianbo Han, Qingwei Xiao, Weiwei Li +4
This paper models a data center-based energy hub bidding in coupled electricity, heat, and ladder-type carbon markets. A bilevel program coordinating workload shifting, waste-heat recovery, CHP, and storage is reformulated as a single MILP.…
Shuang Zhang, Douglas Almond
First empirical study of China's 2021 nationwide rate-based carbon market, using satellite imagery and machine learning on plant-level data. High-efficiency coal plants increased generation and CO2 emissions ~5% versus low-efficiency plants…
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