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 1–4 of 4 papers
Binyu Cai, Kun Guo, Na Li
This study uses Chinese city-level data from 2009-2019 to analyze the impact of green finance on energy transition with a spatial perspective. It finds that green finance promotes energy transition through green innovation and industrial st…
O. Inah, P. Sotenga, U. Akuru
This study analyzes decarbonization pathways for South Africa's manufacturing sector using an integrated Kaya-LMDI decomposition and genetic algorithm optimization. Historical analysis shows emissions growth driven by residual carbon factor…
Jiseok Ahn, Sangyong Park, Son-Hee Kim +2
This study evaluates Korea's COP28 pledges to triple renewable capacity by 2030 and nuclear capacity by 2050 against IPCC AR6 scenarios. It finds that Korea's current electricity plan has a slower fossil fuel phase-out than Paris-aligned pa…
Awuor Ponge, Aisha Adhiambo Awuor
Africa holds 60% of global solar potential and over 30% of transition minerals but contributes only 4% of emissions. This paper analyzes green industrialisation as a transformative development path, leveraging AfCFTA to potentially create 1…
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