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 31261–31280 of 36583 papers
Jingyuan Wang, Shuli Yan, Liangpeng Wu
This study uses a stock-flow consistent approach to analyze the impacts of energy transition on economic dynamics and environmental benefits under distributive justice. Through model simulations, it reveals the relationship between energy t…
Alessandra Manzini, Irina Martynova, Jing Yu +6
This review critically assesses sulfur-based conversion cathodes for next-generation batteries, bridging laboratory research and practical manufacturing. It analyzes failure mechanisms under realistic conditions such as high sulfur loading …
Priscilla Nyamekye Abban, Tian Ze, Josephine Elom Baham +2
This study empirically examines the interconnections between natural resources, economic growth, energy use, and carbon emissions across West African nations. The findings may inform policy on sustainable development and decarbonization in …
xiaolian zhao, Jiaxin Yu, Nannan Jia +6
This review summarizes recent progress in high-energy-density redox flow batteries, detailing three core strategies: broadening voltage window, multi-electron transfer, and high-concentration electrolytes. It emphasizes the critical role of…
Li Liu, Xiaohu Yang
This study integrates Random Forest (R²=0.95/0.91 for training/testing) and PLUS simulation (82.5% accuracy for industrial land) to quantify land-use-energy dynamics in Shaanxi, China (2005-2030). Key findings: socioeconomic factors drive l…
Haozheng Yu, Congying Wu, Yu Liu
This paper provides a comprehensive review of Vehicle-to-Grid (V2G) integration into smart energy systems. It analyzes key enabling technologies (bidirectional charging, aggregation, communication, data-driven control) from a system-level p…
Min Wei
Analyzes 2371 online comments on residential PV in China. Positive sentiment 65.71%, negative 19.20%, but intensity analysis shows weak positive and stronger negative emotions. Key concerns: contracts, fraud, radiation. Recommends standardi…
Haoming Xia, Zhiyu Chen, Jonathan Y.S. Leung +7
This study uses a rural household survey in China to reveal disparities in energy transition, energy poverty, and energy inequality among different groups. Small, low-income households and those from the Loess Plateau suffer disproportionat…
Andrey Kulikov, E. N. Nikitin
This paper analyzes the development of regional energy integration in ASEAN, focusing on the shift from bilateral to multilateral mechanisms. It examines the ASEAN Power Grid and Trans-ASEAN Gas Pipeline as key infrastructures for decarboni…
Daopeng Wang, Huan Liu, Jiaming Xu +2
This study investigates influencing factors and optimization pathways for embodied carbon emissions in prefabricated building materialization. Using field data from a large precast factory in western China, it develops a cloud entropy model…
Yongjian Chen, Zhi Yang, Shiqi Ou
This paper proposes the Hierarchical Generative Agent-based Simulation Framework (HGA-Sim) that uses large language models to autonomously generate agents with diverse personality traits for realistic simulation of human behavior in mobilit…
Songyuan Liu, Shuaiqi Hu, Mei Wang +3
This paper develops a hybrid causal framework combining K2 structural learning and Bayesian Networks to analyze drivers of renewable energy expansion in China. It finds a paradigm shift from resource-driven to institution-driven growth, wit…
Yiming Tong, Deheng Xiao
Using panel data on Chinese A-share listed firms from 2008 to 2024, this study finds that firms' climate risk attention (CRA) significantly promotes value chain upgrading (VCU). The effect operates through embedding into green R&D, green in…
Xiaobao Yu, Jialong Jin, Wei Wang
This paper analyzes how nested long-term power purchase agreements (LPPAs) can stabilize revenue for green electricity retailers, thereby managing climate transition risks. It proposes a mechanism to mitigate volatility in renewable energy …
Wenqi Li, Jijun Kang, Yiran Wei
This paper proposes a topic-sentiment approach using unstructured news data to forecast carbon prices in China's emission allowance market. By integrating with time-series models, it demonstrates improved prediction accuracy. The study quan…
Yaru Hou, En-Ze Wang
This study examines the impact of geopolitical risk on carbon emissions, distinguishing between proactive transition and passive contraction. Provides insights for energy policy under uncertainty.
Yue Lu, Zhongya Ji, Guanxin Yao
This global panel study examines whether renewable electricity expansion is associated with lower waste sector methane intensity. It finds a consistent negative association that strengthens with income and governance quality, suggesting tha…
Liwei Qu, Lianghui Li, Bochao An +1
This study develops an enhanced Ant Colony Optimization algorithm to identify optimal supply pathways minimizing transportation carbon emissions in global seaborne metallurgical coal trade. It achieves a 25% reduction in carbon intensity ag…
Alessio Mastrucci, Dominik Maierhofer, X. Zhong +8
This study assesses carbon storage in global urban building stocks under future scenarios, focusing on structural wood and biochar-based concrete. Substituting with wood in 50% of new buildings could increase carbon storage by 0.4 GtCO2/yr …
Jia‐Lin Yang, Miao Du, Jun‐Ming Cao +1
This review systematically evaluates the sustainability of aqueous Zn-ion batteries across their entire life cycle, highlighting green materials, low-carbon manufacturing, and circular economy principles. It identifies key challenges to ind…
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