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 1721–1740 of 4137 papers
Zbigniew Klimont, C. Heyes, Peter Rafaj +12
This dataset provides global gridded anthropogenic emissions of air pollutants and methane from 1990 to 2050, developed with the GAINS model at IIASA. It includes three scenarios: current legislation (CLE), maximum technical reduction (MTFR…
Frank You, Taylor Coffey, Daniel Powell +2
This scoping review synthesizes evidence on carbon emissions from clinical trials, analyzing 22 articles. Key hotspots include travel, facilities, and sample lifecycle. Variability in measurement methods hinders comparison, but the need for…
Subodha Kumar, Sriram Narayanan, Fabrizio Salvador
This paper proposes a research framework for innovation in supply networks, highlighting that suppliers' R&D investments often exceed those of focal firms. It discusses how supply chain fragmentation and globalization shift the locus of inn…
Laurentiu Marin, Robert Kleinberg
This paper reassesses the climate impact of the volatile anesthetic desflurane using climate science models, highlighting the limitations of GWP metrics. It shows that continued emissions lead to a small, reversible temperature step of 0.00…
Nicolò Golinucci, Lorenzo Rinaldi
nxsut 3.0 is a physically-based environmentally-extended supply-use table built on EXIOBASE Hybrid, updated to 2023-2025 electricity supply and trade. It adds innovative steelmaking technologies and hydrogen production, improving carbon foo…
Jinying Xu, Kristen MacAskill
This paper reviews international, European, and British GHG standards for carbon data in distributed infrastructure, highlighting challenges in data collection and uncertainty. It finds that many standards do not require Scope 3 accounting,…
Gabriel Osei Forkuo
This paper presents a multi-country meta-analysis of fuel and carbon intensity in cut-to-length harvesting, offering a decarbonisation roadmap. It quantifies emission reduction potentials through machinery efficiency improvements and altern…
Stuart White, Cliff Shelton
This paper argues that inhalational anaesthetic agents, particularly desflurane, have high global warming potentials and contribute significantly to healthcare's carbon footprint. Citing IPCC urgency, the authors advocate phasing out these …
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…
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…
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…
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…
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…
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…
Lin B.
This study uses a computable general equilibrium (CGE) model to analyze the economic impacts of China's emissions trading scheme (ETS) when only the power sector is included. It quantifies spillover effects on other sectors and the macroeco…
Zhetong Li, Qing Ding, Sanglin Zhao +2
This study empirically evaluates the impact of green credit policies on coordinated reduction of carbon emissions and air pollutants in China's industrial sector using a difference-in-differences (DID) model. By comparing treated and contro…
Xiaojuan Lin, R. van der A, Jos de Laat +3
This study uses TROPOMI satellite NOx observations to indirectly estimate CO2 emissions in Africa and the Middle East, revealing that current inventories underestimate total emissions by about 30%. About 35% of the underestimation is from n…
Mary Oyewole, Daniel W. M. Chan, D. C. Nwonu +1
This study addresses socio-organizational barriers to circular economy implementation in concrete waste management (CCWM). Through a systematic review of 51 studies, it identifies 11 stakeholder groups and applies a RACI governance framewor…
Peter Adriaens, Juri Mattila
This paper explores the connection between smart city data value chains and infrastructure financing, proposing a multi-layer securitization framework. It maps the digital infrastructure stack from physical sensing to digital twins, contrac…
Browse by Topic