GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Policy (clear)

Showing 101–120 of 1416 papers

Peer-reviewed🇺🇸 USAJournalScience2026#PolicyDOI

The worst energy policy in the world

Paasha Mahdavi, Michael L. Ross

The Iran war could accelerate the shift from fossil fuels as high oil and gas prices make cheaper wind and solar more attractive. Yet nearly half of countries have adopted emergency subsidies that research shows will make this transition sl…

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Peer-reviewed🇨🇳 ChinaJournalEconomic Analysis and Policy2026#PolicyDOI

Can Voluntary Environmental Regulations Drive Firms to Become “Truly Green”?—A Quasi-Experimental Study Based on Green Factory Certification Policy

Guo Bing, Qiming Zhang, Ying Li

A quasi-experimental study examining whether China's Green Factory Certification policy drives firms toward substantive environmental improvement rather than symbolic compliance. It tests whether voluntary environmental regulation produces …

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Peer-reviewed🇨🇳 ChinaJournalMaritime Policy & Management2026#PolicyDOI

Strategies for the low-carbon ‘direct rail-sea transshipment’ mode in ports under policy intervention and integrated pricing mechanisms: a three-party evolutionary game and simulation analysis

Jiahao Zhao, Wenzhi Yue, Xinghua Hu +3

This paper builds a three-party evolutionary game model (government, ports, intermodal operators) for low-carbon direct rail-sea transshipment, treating the yard fee rate as endogenous. Below a critical yard fee threshold, carbon taxes and …

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Peer-reviewedCNJournalJournal of Cleaner Production2026#PolicyDOI

Interpretable machine learning insights into the impact of environmental regulation on low-carbon transition: Evidence from the Yangtze River Economic Belt

Keying Wang, Manqi Gao, Shanggang Yin +1

An empirical study applying interpretable machine learning to assess how environmental regulation drives low-carbon transition across China's Yangtze River Economic Belt. It identifies which regulatory and regional factors most shape transi…

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