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 15441–15460 of 19738 papers
Oleksandr Kotsii, Bohdan Rusyn, Yuriy Bobetskyi +1
This study compares three generations of plasticizers (lignosulfonates, naphthalene sulfonate, and polycarboxylate ethers) in low-emission composite cement mortars. Polycarboxylate ethers achieved water reduction of 25-30% and flow ability …
Xin Liao, Yuguo Jiang, Qiang Lin +1
This study assesses low-carbon manufacturing transition in eight cities of the Chengdu-Chongqing Economic Circle using a dynamic Set Pair Analysis model with a state transition matrix. It reveals a 'Matthew effect' and a three-tier structur…
Min-Yuan Cheng, Akhmad F. K. Khitam, Quoc-Tuan Vu +1
This study develops an evolutionary deep learning model (ASOS-NN-BiGRU) to optimize cost, strength, and carbon emissions in high-performance concrete (HPC) mixture designs. Integrating carbon pricing mechanisms, it enables multi-objective o…
Simon Wehden, Kathryn B. Janda, Felix Creutzig
This study examines craft entrepreneurs in four German installation trades (roofers, electricians, heating installers, painters) using mixed methods. It finds that the skilled worker shortage manifests as order prioritization, discouraging …
John Blenkinsopp, Tracy Scurry, Nikos Bozionelos
This article introduces a careers perspective on employee green behavior, specifically work-related travel, proposing a conceptual framework for 'low carbon careers.' It reviews existing literature, identifies limitations of cross-sectional…
Deepak Gupta, Ergashev Nuriddin Gayratovich, Mirzaev Abdullaevich +3
This chapter presents a cost-benefit analysis of low-carbon mobility options using life-cycle assessment and social cost of carbon. Battery electric vehicles and public transit show benefit-cost ratios above unity, while active transport yi…
Y Li, zhenghuang shi, Wenhui Chen +2
This study examines whether China's Low-Carbon City Pilot (LCCP) policy enhances urban industrial transformation. Using panel data from 283 Chinese cities (2008-2023) and double machine learning, it finds that LCCP significantly promotes in…
Fangning Sun
This study uses BIM to collect inventory and emission data from buildings, then applies correlation analysis and elastic net to select 8 design features affecting carbon emissions. An improved grey wolf optimization-based SVM (IGWO-SVM) mod…
Shibo Zeng
This paper analyzes the synergistic effects of pilot policies integrating mitigation and adaptation actions to promote low-carbon transition in Chinese cities. It evaluates policy implementation and provides insights to strengthen urban low…
Tao Chen
This paper constructs a computational framework combining trend prediction and path optimization for energy consumption structure evolution. It integrates multi-source data to build time-series prediction models for coal, oil, natural gas, …
Ke Wang, Haojie Dai, Xunzhang Pan +1
This paper maps plant-level stranded asset risks in China's refining sector under low-carbon transition. It likely quantifies transition risk and regional impacts, offering insights for global energy transition planning. No abstract availab…
Xiaofei Liao, Qin Chu, Xiaohui Song
This study measures the low-carbon transition (LCT) levels of China's four major industrial bases from 2013 to 2023 using an entropy-weighted CRITIC-grey relational TOPSIS method. It finds that low-carbon technology is the core driver, intr…
Jie Hu, Zhiping Chen
This paper reviews catalyst mechanisms for CO2 hydrogenation to low-carbon olefins. It compares direct (CO2-FTS) and indirect (CO2-MTO) routes, noting iron-based catalysts achieve 72% olefin selectivity. Challenges remain in selectivity con…
Fajar Alamsyah, Romy Hermawan
This study analyzes political network barriers to Indonesia's low-carbon transition using a CIMO-framework systematic review. It finds fragmented state apparatus, dominant fossil fuel interests, and regulatory capture, leading to carbon loc…
Ronald Mukanya, Khomotso Semenya
This narrative review synthesizes interdisciplinary literature on subnational energy governance and energy resilience in low-carbon transitions, focusing on middle-income and emerging economies. It examines the role of provincial and region…
Junfei Zhang
This paper reviews low-carbon transformation in construction and building materials, noting that traditional cement contributes ~8% of global CO2 emissions. It discusses the development and application of low-carbon materials to reduce emis…
Hao Zeng, Zihan Cheng, Chenyu Kang +1
This study uses 2022 CFPS data and a stratified PSM model to analyze how agricultural subsidies influence farmers' low-carbon transition in China. Subsidies significantly promote transition through cost constraint mitigation and improved lo…
Yiyi Wu
This paper analyzes China's low-carbon energy development, highlighting the need to replace fossil fuels. It outlines future pathways through corporate green innovation, optimized energy structure, and policy support, aiming to ensure energ…
Li Chen, Hao Cheng, Fujia Li +1
Using panel data from 30 Chinese provinces (2006-2021), this study examines the impact of green technology innovation (GTI) on carbon emission performance (CEP). A significant U-shaped relationship is found, with pronounced effects in regio…
Yuting Wang, Yuegui Zhou, Gang Chen +1
This paper proposes an optimal scheduling model for a low-carbon multi-energy system integrating oxy-coal combustion and power-to-X technologies, considering material and energy flow constraints. The model aims to balance CO2 emission reduc…
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