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 14401–14420 of 30396 papers
Wanting Chen, HU Zhi-hua
This paper proposes a two-stage dynamic network game model to analyze low-carbon technology innovation and diffusion among manufacturers under government intervention. It theoretically examines how government subsidies and regulations affec…
Thi Huong Dinh, Nhung Hong Nguyen, Ngoc Quang Nguyen +1
This paper examines how AI and green transformational leadership affect low-carbon practices in the Vietnamese hospitality industry using PLS-SEM. It finds that AI positively influences green innovation culture and low-carbon behavior, medi…
Xiaoqing Tan, S Shunlong Wang, Lulu Zhao +2
This study demonstrates a low-temperature plasma-assisted method to convert sargassum into syngas and porous carbon materials, showing potential for renewable energy and energy storage applications.
Y ZHANG, Yanyan Zhou, Asigen +3
This study improves volume stability of low-carbon ultra-high performance concrete (UHPC) with high-volume fly ash and aeolian sand by adding superabsorbent polymer (SAP) for internal curing. 0.3% SAP with particle size 180-600 μm significa…
Xing-Xing Ye, Haixia Dai, Ying-Jie Li +4
This paper uses the LEAP model to analyze low-carbon transition pathways for the petrochemical industry in the Hangzhou Bay Area. It evaluates emission reduction potential and unit abatement costs of technologies such as CCS, multi-energy c…
Abbas Guvalov, Rafig Shirinov
This study investigates the effect of multi-walled carbon nanotubes (MWCNTs) on low-density non-autoclaved aerated concrete (NAAC) with a target density of 250 kg/m³. Ultralow dosages (0.001–0.005% by cement mass) improved compressive stren…
Xumeng Lin, Huahan Huang, Ying Wu +7
This study proposes a low-carbon strategy for anaerobic assimilation of dye-derived dissolved organic nitrogen, providing insights into performance and mechanisms. It shows potential for reducing carbon emissions compared to conventional ae…
Nhat Mai Nguyen, Quoc Anh Ho, Thi Ha Lien Le +4
This study provides an economic analysis of low-water, low-emission (LWLE) farming techniques in Vietnamese rice production. Using survey data from 14,312 households, it finds that while LWLE practices increase yields and revenues, they als…
Roberto Cantoni
This paper critically analyzes how low-carbon energy projects in Western Sahara function as a tool to reinforce Moroccan territorial control. It reveals the mechanisms linking renewable energy development with colonial occupation, questioni…
Michael Poschmann, Sebastian Tigges, Daniela Ramermann +8
This systematic study demonstrates that incorporating ultra-low amounts of transition metals into carbon-based catalysts significantly enhances their oxygen evolution reaction (OER) performance under alkaline conditions. The findings offer …
Li Zeng, Jinghui Huang
This study analyzes contagion effects of climate financial risks across markets during the low-carbon transition. Using daily data from April 2020 to April 2025, it applies a multiscale tail risk framework combining wavelet decomposition, c…
Yuan Yuan, Xiaowen Yang, Jiahai Yuan +1
This paper analyzes the regional impacts of China's low-carbon power transition on employment structure by skill and gender, revealing heterogeneous effects and providing policy insights for a just transition.
Sarah Coffin, Shahzeen Z. Attari, Holly Jean Buck +7
This paper examines how perceived naturalness shapes public support for carbon dioxide removal (CDR) and low-carbon energy technologies. Two US-based studies show that when technologies are perceived as natural, they gain more support due t…
Xing Ge
This study uses a staggered difference-in-differences model with Chinese household panel data to estimate the causal effect of low-carbon city pilot policy on household carbon emissions. It finds a significant reduction driven by decreased …
Youyue Wen, Zhichao Chen, Saoman Cai +1
This study evaluates vegetation carbon sink dynamics under four land cover scenarios (economic development first, carbon neutrality first, sustainable development, natural development) in the Guangdong-Hong Kong-Macao Greater Bay Area. Usin…
Botong Gu
This study evaluates low-carbon materials (CFRP, high-strength aluminum, bio-composites, recycled steel) for mechanical performance and proposes a design framework coupling material selection with topology optimization and lightweight desig…
Haitao Zhang, Ying Chen
This paper proposes a game-theoretic and Lyapunov-integrated model for minimizing operational costs of industrial multi-energy hubs, incorporating carbon trading. It optimizes energy supply and demand balance, demonstrating cost reduction v…
Yadong Xu, Yiran Lai, Luotong Zhao +2
In three forest types of Funiu Mountain, China, microbial carbon and nitrogen use efficiency (CUE, NUE) showed a strong negative trade-off. Mixed forest exhibited highest NUE but lowest CUE due to nitrogen limitation. Soil nutrients indirec…
Xiaolin Chu, Peng Wang, Ruijuan Zhao
This paper proposes an optimal energy and workload dispatch model for data center clusters (DCC) integrating distributed energy storage (DES) and shared energy storage (SES) under a carbon trading mechanism. A Mixed-Integer Nonlinear Progra…
Xue Cui, Pingzheng Tong, Zixin Lu +1
This paper proposes a bi-level optimization model for distributed resource aggregator (DRA) bidding across energy, peak regulation, carbon, and green certificate markets, incorporating a limited carbon-green certificate linkage mechanism. I…
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