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 32641–32660 of 36620 papers
Xianrui Mo, Zefang Liao
This study compares carbon surcharges and low-carbon certification as EU/UK border measures for China's seafood exports using a recursive dynamic CGE model over 10 years. It finds that certification, especially when paired with domestic gre…
Ali Asghar Sadabadi, Zohreh Rahimirad
Using survey data from 2532 Iranian households, this study applies machine learning clustering to identify five distinct prosumer profiles for rooftop solar adoption. It proposes a cluster-based policy framework integrating financial, non-f…
Renyi Qiu
This paper proposes a multi-objective optimization model for textile supply chains to achieve carbon neutrality. It integrates carbon trading, green subsidies, and dynamic demand response. The model reduces costs by 18.6-25.8% and emissions…
Zhongrui Wang, Qinghua Wu
This study compares grandfathering and benchmarking carbon quota allocation mechanisms, analyzing competitive and cooperative carbon trading modes in single and dual supply chain models. Findings show benchmarking outperforms in emission re…
Wenqian Wang, Yongmei Wang, Feng Xiao-Chi +2
This review synthesizes recent advances on quorum sensing (QS) as a biological lever for carbon-neutral wastewater treatment. QS modulates N2O and CH4 emissions, enhances aerobic granulation to reduce aeration energy, and boosts methane rec…
You Kong, Ling Xu, Qi Wu +1
This study develops a multi-objective bi-level programming model to analyze the impact of carbon trading mechanisms and electric autonomous container trucks (EACTs) on port collection-distribution networks. Using NSGA-II, the model generate…
Xinrui Liu
This paper compares carbon-neutral power transitions in China, the US, and the EU. It finds that as renewable energy penetration increases, economic bottlenecks shift from generation costs to flexibility and grid transmission. It analyzes d…
S. Biswal, K. Kotecha, Neha Munjal
This paper proposes ADRGPNN-WSO, an integrated framework for carbon price forecasting. It uses FKMV for noise reduction, ADRGPNN for temporal and cross-feature modeling, WSO for optimization, and RB-DCHF for data provenance. Validated on th…
Alessia Manfredi, Marzia Traverso, Giampaolo Manfrida +1
This systematic review analyzes 10 case studies applying Social Life Cycle Assessment (S-LCA) to green hydrogen technology. It identifies methodological weaknesses (reliance on secondary data, unclear system boundaries) and strengths (ident…
Qinghao Zheng
This study proposes an intelligent computing system for dynamic regulation of carbon emission rights markets using deep reinforcement learning (DRL). It integrates monitoring, prediction, and optimization models, creating a closed-loop 'mon…
Pariman Boostani
This paper develops a policy scenario for inclusive energy communities in Norway and Denmark. Based on 54 interviews and literature review, it uses Cross-Impact Balance analysis to derive consistent futures for 2030. It recommends instituti…
Jialan Wang, J. Chavas, Jian Li +1
This paper investigates the evolving price risk in the EU ETS and the effectiveness of carbon futures as hedging instruments. Using a quantile vector autoregression and copula approach, it finds significant tail risk and proposes a novel Mi…
Huixiao Yang, Yifan Yang, Jian Cao +1
This paper analyzes how different emission regulations (carbon cap, carbon tax, cap-and-trade) affect a manufacturer's abatement investment and supply chain coordination. Modeling market frictions like bid-ask spreads and endogenous contrac…
Gaoxiang Lou, Zhangzhen Fang, Linsen Yin +2
This study examines three supply chain collaborative compliance strategies in an integrated carbon market: technology collaborative (TC), certified emission reduction (CER) investment collaborative (IC), and hybrid. Using game theory, the a…
Liang Zhang, Shuyan Wu, Baoyuan Wang +3
This paper proposes a Stackelberg game-based collaborative optimization strategy for park-level integrated energy systems (PIES) operating in carbon and green certificate markets. It integrates a CCS-P2G-LCES technology chain to achieve int…
Hai Shen, Jiawei Liu, Siyi Li +1
This paper constructs a decision-making model for dual-channel supply chains under different carbon trading policies, analyzing how carbon quota allocation methods impact profits. It finds manufacturer profit positively correlated with carb…
Xuefeng Ma, S. Fan
This study proposes a cooperative game-based scheduling method for multiple data centers under an electricity-carbon coupling trading framework. It integrates workload migration, energy storage, and carbon allowance trading to minimize cost…
Alireza Maheri
This paper proposes Critical Systems Heuristics (CSH) as a framework to critically examine assumptions and boundaries in energy transition planning. Applied to two cases: repurposing a North Sea oil/gas platform for green hydrogen, and a hy…
Ram Ranjan
This study develops a blockchain-enabled bioeconomic model integrating forest growth, water services, invasive species dynamics, and fire risk. Token prices adjust to ecological indicators, creating incentives for communities to balance imm…
Zhikai Zhang, Yaojie Zhang, Yudong Wang +1
This paper proposes a time-weighted regularized combination (TWRC) method to forecast carbon price returns under structural breaks and model uncertainty. The TWRC identifies structural changes and mitigates uncertainty among factor-based fo…
Browse by Topic