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 1221–1240 of 4237 papers
Roan Chadsey, Jay Fuhrman, Catrin Harris +2
This paper assesses the scale and timing of carbon dioxide removal (CDR) consistent with national climate pledges (NDCs). It quantifies the role of CDR in climate policy contexts, highlighting feasibility and policy implications.
Shuangxiang Zeng, Lisha Dong, Jingtao Shao +2
This study optimizes carbon purification from spent cathode carbon (SCC), a hazardous waste from aluminum production, using machine learning. Six algorithms were compared, and LightGBM was tuned via RSM, orthogonal design, and local optimiz…
Iara Campolina Dias Duarte, Diego Henrique de Souza Chaves, Esly Ferreira da Costa +1
This study evaluates three biogas recovery pathways in WWTPs: thermal drying, electricity generation, and combined heat and power. S2 achieves highest electricity and GHG reductions but lowest economic performance; S1 shows best economics (…
W. -J. Bai
This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …
Jianglin Jiang
This paper uses double machine learning to estimate the causal effect of digital transformation (DX) on urban green and low-carbon transition efficiency. It reveals mechanisms through which DX promotes energy efficiency and emission reducti…
Chenchen Zhang, Yizhen Du
This review analyzes urban solid waste classification and recycling systems from a low-carbon governance and circular urban development perspective, identifying challenges such as unstable classification behavior, fragmented management, and…
Wenjie Zhao, Chengpeng Li
This paper proposes an Improved Coati Optimization Algorithm (ICOA) inspired by urban traffic mechanisms for low-carbon microgrid scheduling. ICOA introduces road-network stratified initialization, traffic-signal-guided exploration, lane-ch…
K. K. Qin, Yu Zheng, Chao Zeng +1
This paper proposes a low-carbon scheduling and carbon emission prediction framework for power grid construction machinery by integrating an improved genetic algorithm (IGA), deep reinforcement learning (DRL), and a gated recurrent unit (GR…
Linlin Zhang, Junhao Lai, Ke Hu +4
This study develops a mixed-integer programming model to optimize the energy mix for yard trucks in container ports under low-carbon constraints, minimizing total cost while separating carbon costs by operating state. A case study shows a 4…
C. N. He, H. D. Chen, H. J. Tian +2
This study analyzes low-carbon investment strategies in power supply chains under carbon quota mechanisms (CQM) and blockchain technology (BCT). A two-echelon model of a power generator and retailer is examined via Stackelberg game across f…
Xirui Sun, Jie Chen, Tingting Zhang +2
This paper proposes a two-stage low-carbon dispatch framework for integrated energy systems (IESs) considering locational fairness of nodal carbon intensity (NCI). Using carbon emission flow theory, it develops a unified CEF model and impro…
Maziar Javadpour, Sean McCoy, Sylvia Sleep
Dynamic LCA of six concrete block scenarios shows natural carbonation offsets 11-37% of calcination emissions (25-55% with carbonation curing), static accounting overestimates by 4-10%. CCS reduces emissions 52-59%; carbonation curing and m…
Fu Jia, Yingjie Ju, Robert D. Klassen +2
This study examines how China's carbon emissions trading schemes (CETS) affect firms' environmental and social (E&S) disclosure using an institutional theory framework. Exploiting staggered CETS implementation (2013-2024) as a quasi-natural…
May Zune
This study evaluates the decarbonization impact of building retrofits, using data from COMMSENG-25-0286. It examines what retrofits should target to maximize energy efficiency and emissions reduction, offering insights for policy and invest…
Stuart Hyde, Renata Karkowska, Szczepan Urjasz
This study analyzes dynamic spillover effects among biodiversity indices, traditional energy assets, and oil/gas prices in the US and Europe using a TVP-VAR model. It finds significant interconnections and shows biodiversity indices can ser…
Zhang Shuai, Purwanto Purwanto
This paper examines CATL's green transformation strategy under China's dual-carbon targets. Through green corporate culture, management practices, and production processes, CATL reduced carbon intensity, improved energy efficiency, increase…
Michael Cross
This chapter examines the foundational sectors of the net-zero transition—energy, infrastructure, and industry—revealing large-scale skill requirements. It analyzes emissions profiles, core occupations, and interlinkages among energy genera…
Stefano Menegat, Silvana Dalmazzone, Vito Frontuto
This study examines the household impacts of a forthcoming EU carbon price on road fuels across 23 countries. Using harmonized budget data adjusted for underreporting, it simulates fuel price increases and compares burdens across income gro…
Emma Lavoie, Nadia Lehoux, Louis Gosselin
This paper reviews the context and challenges of energy transition for small and medium-sized enterprises (SMEs) in Quebec, Canada, and proposes practical solutions. It outlines policy support and technology options, addressing SME-specific…
Simone Rossi, Clément Bourgoin, Joana Melo +8
This paper presents new global, country-level estimates of carbon stock changes from managed Forest Land and Deforestation, using an IPCC Tier 1 approach with Earth Observation data. Over 2001-2021, net removals from Forest Land averaged -7…
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