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 2721–2740 of 24125 papers
Izuru Takewaki, Zheng Lu, Salman Azhar +4
This editorial introduces a research topic on integrating BIM, digital twins, and metaverse technologies in construction. It emphasizes sustainability, resilience, safety, and productivity, with applications in carbon reduction and circular…
Li Lingyan<sup>1,2</sup>, Wang Mengmeng<sup>1,2</sup>, Xia Haoming<sup>1,2</sup>, Duan Mimi<sup>1,2</sup>
This study assesses the vulnerability of rural households' clean energy transition in ecologically fragile areas of Northwest China, analyzing influencing factors. It reveals vulnerability patterns among low-income households passively part…
DOI: 10.13930/j.cnki.cjea.160261
Yan Cuiping, Zhang Yuming, Hu Chunsheng +4
Based on a long-term field experiment initiated in 2001 in China, this study evaluates the effects of different tillage practices on N2O, CO2, and CH4 emissions from wheat-maize rotation croplands and compares their comprehensive global war…
Tereza De Castro, Jana Vlčková
This paper shows that Czechia's GVC integration reshapes GHG emissions distribution across domestic production, foreign upstream supply chains, and final demand. Using OECD GHG Footprints and TiVA data (1995-2020), it highlights the automot…
資料：コメントレターとインタビュー調査からみるSSBJ基準の課題
中尾 悠利子, 國部 克彦
This document analyzes comment letters and interviews on SSBJ standards, identifying practical challenges. It contributes to the development of Japan's disclosure framework.
Patent-Based Technology Entropy Analysis Method and Its Application in Emerging Technology Monitoring: A Case Study of Carbon Capture Technology (Postprint)
Hou Jianhua, Guo Shuang
This study proposes a technical entropy analysis method using patent data to dynamically monitor the evolution of emerging technologies. Using carbon capture technology as a case, it constructs a multi-dimensional patent entropy model to qu…
Mechanism by Which 3-Nitrooxypropanol Inhibits Rumen Methane Emissions in Ruminants and Its Effects on Animals[^1]
Gao Jian, Feng Dan, Wang Mengzhi +2
This paper explains the mechanism by which 3-nitrooxypropanol (3-NOP) inhibits rumen methane production in ruminants. 3-NOP inhibits methyl-coenzyme M reductase, reducing methane generation, thereby preventing feed energy loss and contribut…
サステナビリティ開示基準はなぜ使えないのか ―重要性/マテリアリティの機能不全と価値情報の欠落―
國部 克彦
This paper critically examines the dysfunction of materiality in sustainability disclosure standards, arguing that current frameworks fail to provide value-relevant information to investors. It highlights challenges and suggests improvement…
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…
Browse by Topic