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 381–382 of 382 papers
Kohlscheen, Emanuel, Moessner, Richhild, Takats, Elod
Using dynamic panel regressions on 121 countries, this study finds that higher carbon taxes and ETS prices significantly reduce CO2 emissions. A $10/ton increase in carbon tax reduces per capita emissions by 1.3% in the short run and 4.6% i…
Ruoqi Han, Kai-zheng Liu, Xinyu Wang
This paper systematically evaluates China's carbon emission trading (ETS) policy from agenda-setting to implementation and impact analysis. It finds a positive effect on corporate green innovation, but with heterogeneity across industries, …
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