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 10041–10060 of 16897 papers
Xiufan Zhang, Zhongju Liao
Using data from 46 Chinese cities, this paper empirically analyzes the synergistic emission reduction effect of carbon emission trading and green finance markets. The findings suggest that the interaction of both markets yields greater emis…
L. Martyniuk, O. Moroz
This paper analyzes the state and prospects of Ukraine's electricity generation industry under war conditions, emphasizing decentralization and decarbonization. It highlights the vulnerability of centralized models and proposes distributed …
Yufan Li, Liting Zhang, Lifei Song
This study develops an optimization model for a renewable energy-based regional hydrogen supply chain, applied to Shanghai Lingang New Area. A dynamic MILP model reduces hydrogen storage by 8.3%, transportation fleet by 11.1%, and terminal …
Marina Nazir, Marina Nazir, Minhas Akbar +2
This paper explores how artificial intelligence and environmental digitalization contribute to mitigating climate risks and promoting sustainable development amid geopolitical uncertainty. It examines the potential of AI-driven climate risk…
Zhongli Jiang, Qinggang Wang, Yinnan Cao +4
This review evaluates the feasibility of valorizing coal-based solid wastes (coal gangue, fly ash, gasification slag, desulfurization gypsum) as soil amendments within a circular economy framework. It systematically examines modification me…
Y LIU
This study analyzes NDC implementation gaps in G20 nations from an institutional signaling perspective (2016-2024). It constructs a NDC Compliance Composite Index (NDCCI) and uses a two-way fixed effects model. Findings show that governance…
Min Hong, Chunrong Ma, Gang Chen
This editorial highlights recent advances in eco-friendly fabrication of energy storage materials like batteries and supercapacitors, emphasizing AI/ML for material discovery and process optimization, as well as microwave recycling technolo…
Xingmin Yin, Xiaobo Qian, Jianyue Ji
This paper integrates climate risks into a growth-at-risk (GaR) framework using Chinese city-level panel data from 2008 to 2023. It finds that both transition and physical risks significantly increase downside growth risk through total fact…
Xun Kang, Guojie Chen, Peng Xiong
This study demonstrates the importance of considering operational time characteristics (e.g., summer and winter vacations) when optimizing wall insulation thickness for academic buildings. Using EnergyPlus simulations and life-cycle carbon …
Jinyu Fang, Wei Fang, Yue Wang +2
Using provincial panel data from China, this study employs a two-stage causal discovery and effect estimation framework to analyze interactions between climate action (SDG13) and other SDGs. Nationally, synergies with ecological conservatio…
Xi Zhang, Li Qiu, Xuan Yao +1
Using panel data from Chinese traditional energy companies (2011-2024), this study empirically examines how digital-green synergy (DGS) enhances supply chain resilience (SCR) through three pathways: precise risk perception, agile dynamic re…
Zhiyuan Fan, Bolun Xu
This paper presents design optimization and global impact assessment of solar-thermal direct air carbon capture (DAC), showing it as a lower-cost alternative to geothermal heating for carbon removal.
Jing Yang (13969), Haiou Zeng, Ningran Wu +4
This study uses molecular dynamics simulations to elucidate CO2 transport through nanoporous graphene membranes at gas-liquid interfaces. It reveals that pore-edge electrostatics enhance interfacial hydration, which suppresses CO2 permeance…
Widi Astuti, Dwi Putri S Aritonang, Maya Anggraeni +6
This review systematically evaluates CO2 capture using activated carbon (AC) derived from agricultural waste, following PRISMA guidelines. It finds that chemical activation, especially with KOH, enhances surface area and microporosity, impr…
Rongmin Zhang, Lianjun Chen, Gang Pan +5
This study examines the use of cement-stabilized loess as an infill for underground mine sealing walls, evaluating strength, disintegration resistance, and microstructural controls across three coal regions in China, highlighting its potent…
Sandra Cunha, Kubilay Kaptan, Adelino Elias Chiaqui +1
This study explores the use of thermally activated mixed construction and demolition waste (CDW) as a partial cement replacement in low-carbon concrete. Concrete mixtures with 5-35% replacement were tested for physical, mechanical, and dura…
Yanmei Yuan, Le Sun, Zongyun She +2
Agricultural carbon emissions require adoption of low-carbon fertilization technologies (LCFTs). A choice experiment with 732 farmers in Shandong, China shows that subsidies, insurance, technical support, and multi-channel publicity are sig…
Xue-Fei Chen, Wei-Zhi Chen, Jing Hu +2
This paper examines graphene oxide (GO) for enhancing low-carbon concrete performance and includes a life cycle impact assessment. Results indicate GO improves mechanical properties while reducing carbon emissions, promising for sustainable…
Shukai Zhang, Chengzhi Yu, Shuang Liang
This study reframes street-level urban renewal as a coordination problem between vitality and low-carbon performance. Using multisource data and interpretable machine learning, it diagnoses vitality-carbon mismatches in Chengdu, China, find…
Abdul Rehman, Suyang Zhou, Sheeraz Iqbal +3
This paper proposes an Adaptive Quantum-DRL Multi-Objective Optimization (AQ-DRLMO) framework for low-carbon CCHP systems. It integrates quantum-inspired evolutionary algorithms with deep reinforcement learning, achieving 40.08% emission re…
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