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 2861–2880 of 24257 papers
Fan Junming, Hong Hui, Jin Hongguang
This paper proposes a natural gas and power cogeneration system based on biomass-coal complementary chemical looping combustion to address low energy efficiency and high carbon capture costs in traditional coal-to-natural gas processes. By …
DOI: 10.13930/j.cnki.cjea.151309
Yin Wen, Shi Qianqian, Guo Yao +4
This field experiment investigated the effects of straw return methods, plastic mulch reuse, and intercropping on carbon emissions in wheat and maize croplands. The findings provide theoretical and practical insights for constructing low-ca…
Xue Dongliang, Rongjin Xu
This paper reports an efficient construction method for replacing conductors with carbon fiber ones on the 500kV Jiangjin/Jiangling transmission line, using a tension-stringing all-in-one machine as the main traction equipment. Carbon fiber…
Zhang, Yi, Fan, Ying, Xia, Yan +1
This study empirically analyzes the structural changes in energy demand during economic growth from a final demand perspective, finding a U-shaped relationship. It emphasizes the importance of demand-side energy conservation and emission re…
Zhang Xin
This paper estimates CO2 emissions from final energy consumption in 30 Chinese provinces from 2000 to 2015, analyzing regional characteristics and spatiotemporal differences. It examines driving factors from both emission volume and intensi…
Wang Jian, Xue Dongqian, Ma Beibei
Using energy consumption data for Xi'an from 2000 to 2015, this study applies carbon emission models and GFI models to analyze trends and drivers of regional carbon emissions. Results show an overall upward trend, with coal as a major contr…
DOI: 10.13930/j.cnki.cjea.170147
Haoyue Wu, He Yanqiu, Chen Rou
This paper estimates agricultural carbon emissions across 30 Chinese provinces and analyzes regional disparities and convergence trends. It highlights the importance of emission reduction policies in the agricultural sector and offers regio…
Wang Zhenhong, Wang Zhenhong
This study evaluates concrete with 0-30% cement replaced by biochar, assessing performance and carbon sequestration. Biochar concrete offers a low-cost, implementable carbon sequestration method, contributing to decarbonization in construct…
Wang Zijie, Liu Guohai, Zhang Duo +3
This study proposes an unmanned high-clearance sprayer with a hybrid powertrain and four-wheel independent drive (4WID) with front and rear dual steering axles, addressing issues of low efficiency, high emissions, and poor flexibility in co…
Li Xuemei<sup>1,2</sup>, Zhang Qing<sup>3</sup>
This study estimates carbon emissions in Tianjin from 2000 to 2016 and uses the LMDI model to analyze driving factors. It finds that economic scale promotes emissions while energy intensity inhibits them, and explores future reduction pathw…
Mu Jiawei
This study measures agricultural low-carbon productivity in 42 counties of the Tarim River Basin, Xinjiang, from 2000 to 2020 using a super-efficiency SBM model with undesirable outputs. It reveals spatiotemporal clustering and trends, offe…
Real-time pricing strategy based on reinforcement learning with load uncertainty*
Wang Jingqi, Gao Yan†, Wu Zhiqiang, Li Renjie
This paper proposes a real-time pricing model incorporating load uncertainty and carbon trading in smart grids, maximizing welfare for both supply and demand. Using Q-learning to handle non-convex nonlinear problems, it contributes to renew…
Zhang Yedong, Yedong Zhang
This paper examines legal safeguards for carbon market integration in the Guangdong-Hong Kong-Macao Greater Bay Area, focusing on legislation, enforcement, and judiciary. It emphasizes cooperation under 'One Country, Two Systems' to achieve…
Zhang Enyue, Zheng Junyan, SU Yingqing +4
Focusing on the Fen River Basin, this study uses the FLUS-MCR model and carbon budget coefficient method to simulate five land-use scenarios for 2030, including low-carbon and economic development priorities. It finds that the low-carbon pr…
Zhao Sanglin, Zhao Sanglin
This study empirically analyzes the impact of digital transformation (DX) on carbon emission reduction using data from Chinese listed construction enterprises from 2000 to 2021. The results show that DX significantly reduces carbon emission…
Yang Juxing, Sun Hui, Zhou Jinnan +2
This study measures the transformation decarbonization level of China's resource-based cities from 2006 to 2021, using spatial Markov chains and fsQCA to analyze spatiotemporal evolution and pathway choices. Results show rising decarbonizat…
Zhang Kun^1, Wu Xinping^2, Liu Yongqiang^1, Zhang Lifang^1, Qin Yan^1, Yang Yilu^1, Tu Hui^1
This study analyzes spatiotemporal dynamics of carbon storage in Xinjiang using the PLUS-InVEST model, simulating past changes and predicting future scenarios (natural development, ecological protection, economic development). It finds that…
Xie Zhengfeng<sup>1</sup> Liu Jinfeng<sup>1,2,3</sup> Zhao Rundong<sup>1</sup>
This study experimentally investigates how in-situ mineralization reactions in basalt affect its microstructure, which in turn influences CO2 absorption rates. The findings provide insights for optimizing CO2 sequestration efficiency in bas…
Chen Xiaohong, Cao Liaoying, Jiaolong Chen +3
This paper examines the growing electricity consumption from computing power development in China and strategies for green and low-carbon transition. It highlights the challenge of balancing data center energy demand with emission reduction…
Caixia Shi
This study measures green development efficiency of 58 cities in the Yellow River Basin from 2005 to 2020 using the EBM-GML model, and explores improvement pathways via HP filter and spatiotemporal interaction methods. It provides insights …
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