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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
Shelf:All Papers🇯🇵→🌍 Japan-to-Global🌍→🇯🇵 Global-to-JapanCurated
Sort:NewestRelevanceMost Viewed
Topic: #Carbon Pricing (clear)

Showing 861–880 of 1640 papers

Peer-reviewedCNConferenceAdvanced Materials Research2011#Carbon PricingDOI

Study on the property right of emission trading in China

Chen B.

This study examines the legal and economic aspects of property rights in China's emission trading system. It analyzes the legal nature of emission allowances and the institutional framework for trading, offering insights for the development…

Read more →
Peer-reviewed🌍 GlobalJournalHigh-Level Summary Technical Assistance Reports2026#Carbon PricingDOI

Cambodia: Carbon Pricing Options

International Monetary Fund. Fiscal Affairs Dept.

This technical assistance report from the IMF Fiscal Affairs Department provides recommendations for carbon pricing design and implementation in Cambodia, favoring a carbon tax. Using the Climate Policy Assessment Tool (CPAT), it estimates …

Read more →
← Prev44 / 82Next →

Browse by Topic

#Scope 3#Scope 1/2#Carbon Pricing#Renewable Energy#Policy#TCFD#SBT/SBTi#CDP#CCUS#Hydrogen#Climate Finance#Climate Science#EV & Transport#Energy Transition#ESG#Transition Finance#Greenwashing#Climate Risk#Biodiversity#Carbon Accounting#Disclosure Infrastructure#Energy Efficiency#Supply Chain#AI × ESG#Other