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 14901–14920 of 19431 papers
Yiwen Wang, Xiyu Guo, Hui Zhu +1
This study used a decision tree method to map mangroves in Hainan Bamen Bay with high accuracy, analyzing spatiotemporal dynamics and carbon storage from 2000 to 2020. Results show significant mangrove expansion and increased carbon storage…
Jianqiang Li, Feiyun Zhang, Ao Ma +3
This study evaluates spatiotemporal dynamics of land-use carbon emissions and storage in Xinjiang using an integrated SD-PLUS-InVEST model. Historical trends (2000-2020) are analyzed, and future scenarios (2021-2060) under multiple SSP-RCP …
Wen Fang, Xiaoyu Wang, Lei Ye +8
This study provides a novel city-level assessment of the coupling coordination between waste and carbon emissions in China. Megalopolises outsource waste and carbon but maintain high coordination. Consumption-based coordination is 20.4-68.8…
Xing Bao, Xi Zhang
This study finds that climate risk significantly increases corporate green innovation bubbles (decoupling between patent quantity and quality) among Chinese listed firms. The effect is driven by increased green investor attention, ESG ratin…
Pengying Fan, Zhenlin Chen, Yile Wang
This study develops an integrated framework for PV power forecasting, optimization, and carbon assessment using PCA, t-SNE, and PSO. It finds that a 1% increase in PV generation could reduce China's power sector carbon emissions by 2.05% by…
Kirill A. Varnavsky, Alexander N. Ermakov, Arina D. Smirnova +4
This study proposes an energy-infrastructure model for integrating data centers into coal regions to address structural crisis in coal industry. It utilizes methane from degasification for power generation and combines renewable energy sour…
Haotian Xiang, Wenjing Su, Yi Zong
This paper systematically reviews event-based and state-based NILM methods, focusing on challenges such as real-time feedback, energy efficiency optimization, and demand response. It discusses cross-cutting issues like data quality and algo…
Yalin Huang
This study uses a multi-case comparison of three Chinese firms to analyze how provincial dual-carbon policy mixes (regulatory constraints, market incentives, innovation guidance) drive corporate green transition. Findings show that differen…
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…
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…
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 …
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