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 281–300 of 30942 papers
Zuominyang Zhang, Qiu-Mei Li, Ke Huang
Using 21,879 Chinese A-share firm-year observations (2009–2021), the study examines within-firm links between digitalization and estimated carbon exposure (industry-year carbon intensity × revenue). Pooled OLS shows ~10.1% higher exposure p…
Jia-Wei Zhang, Han Wang, Ning Zhang +4
This paper proposes a day-ahead electricity price forecasting method integrating market boundary conditions and the electricity carbon footprint factor. It screens key features via Pearson, Spearman, and MIC, then applies a CNN-BiLSTM-Multi…
Bo Miao, Wan-Shui Yu, Jing Li +6
This paper proposes a joint electricity-carbon planning-operation optimization model for distribution networks with high-penetration renewables and storage. It amortizes construction costs to a daily scale and integrates intra-day schedulin…
Hao Yang
China's ETS requires emission allowances to be booked as intangible assets at historical cost, so balance sheets miss market prices and equity valuations are systematically biased downward. Using comparative cases of leading power and steel…
Pei-Zhe Yi, Yan-Jie Li, Peng Ma +2
This paper models strategic bidding by generation companies in a coupled electricity-carbon market using a non-cooperative game. Each firm maximizes profit under capacity, emission, and market-clearing constraints, converging to equilibrium…
Ying Zhou
Using CoinGecko market data, Google Trends, and energy/carbon estimates for major crypto assets (2019–2025), this study tests whether carbon intensity disclosure reshapes investor attention. High-carbon assets draw stronger abnormal search …
Kingsuk Majumdar, Sohini Ghosh
This study applies Random Forest, XGBoost, and SVM to a 65-country, five-sector EU ETS trade panel (2000–2018) to predict carbon leakage. XGBoost achieves R²=0.965 for embodied CO2 regression and ROC-AUC=0.765 for leakage classification, su…
Bing-Lin Yang, Ming Yang, Pei-Heng Qi +3
This paper builds a multi-agent Stackelberg game model for integrated energy systems, coupling a price-carbon dual-incentive demand response with a reward-penalty stepped carbon trading mechanism. An adaptive differential evolution algorith…
Jin-Xin Zhu, Guo-Feng Wang, Xin-Yan Wen +1
This paper proposes a carbon-accountable P2P trading framework for multi-microgrids that traces carbon responsibility through bilateral transactions rather than treating carbon as an external penalty. It combines a belief-aware Stackelberg …
D. Bałaga, Dariusz Czerniak, M. Siegmund +3
VAM utilisation feasibility depends not only on methane concentration but also on ventilation air quality, including dust. Using 155 dust measurements from 24 fan stations in Poland and Romania plus particle-size and composition analyses, m…
Ming-Ming Wang, Chun-Yao Song, Zhong-Lun Zhang +7
This study compares seven analytical methods for quantifying CO2 sequestration in steel slag, revealing up to a 36.3% spread (6.5–10.2 g CO2/100 g) across techniques. Discrepancies stem mainly from differing carbon pools, sample pre-treatme…
Neelam Gupta, Smita Goswami
This chapter reviews how AI—machine learning, NLP, computer vision, and blockchain—can address limitations in carbon accounting, emissions auditing, and corporate climate accountability. It argues AI enables >90% prediction accuracy, sub-ho…
Yi-Zhuo Li, Jia-Pan Li, An-Lin Shao
This study quantifies production concentration of ten key minerals across Belt and Road Initiative countries using 2023 USGS data, computing HHI, CR4, and CR8. Nickel, cobalt, and lithium show the strongest concentration, while iron ore, co…
Hai-Tao Zhao
Closed nuclear fuel cycles require reliable measurement data for plutonium accounting. Current nondestructive assay (NDA) methods show ~20% systematic bias for kilogram-scale MOX items, generating material-unaccounted-for (MUF) signals that…
Ryan Meintjes, Laurence L. Delina
Using 27 interviews and crisp-set QCA, this study explains why apparel and footwear suppliers in Bangladesh and China do not formally engage with the SBTi despite brand pressure. Drawing on Diffusion of Innovations, it shows that the same i…
Donghai Wang, Chunchang Zhang, Chengyue Zhang +2
This study models the economic impact of the IMO's draft Net-Zero Framework on shipping fuel transition, incorporating fuel, carbon, and newbuilding/retrofit costs. Across four 2025-2050 scenarios, positive returns occur only early under hi…
Huayi Chang, Marrit van den Berg, Junbiao Zhang +1
This study examines how population ageing shapes rural household cooking fuel transitions in China, using a bargaining framework that accounts for preference differences between elderly and non-elderly adults. Survey data from rural central…
Tinh Thi Nguyen, Tinh Thi Nguyen, Thanh Thi Nguyen +2
This article builds a Five-Pillar Framework (institutions, infrastructure, finance, society/environment, human resources) to compare renewable energy governance in Vietnam and China. China shows a more consolidated statutory framework, coor…
Fan Zhang, Yanlu Huang, Zifei Wang +1
This study treats China's southern power grid region (Guangdong, Guangxi, Guizhou, Yunnan, Hainan) as an integrated electricity system, combining decomposition, decoupling assessment, and constrained scenario modelling using 2013–2021 data.…
Bo Jin, Chen Zhang, Ge Wang +2
This study provides causal evidence on how China's solar PV expansion affects vegetation, suggesting co-benefits of the energy transition for ecosystems and land cover. Methodological details and findings are unavailable as no abstract was …
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