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 1641–1643 of 1643 papers
Jiankai Fang, Dongmei Yan, Hongkun Wang +3
This paper proposes a co-optimized scheduling model for multi-microgrid systems that incorporates a reputation evaluation framework using RMSE, MAE, and DTW to detect fraudulent behavior. It integrates a Shapley value-based dynamic network …
Huan Zhu, Boqi Qin, Xinze Li +1
This study examines whether the capital market prices climate transition risk by analyzing the impact of China's carbon emission trading system on stock prices. The findings provide evidence that investors incorporate transition risk into a…
Ertian Chen, Lichao Chen, L. Nesheim
This paper estimates a two-stage model of airline competition with endogenous route entry, flight frequencies, and pricing to quantify the impact of the EU ETS on the European airline industry. Counterfactual simulations reveal highly asymm…
Browse by Topic