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 321–340 of 2130 papers

Peer-reviewed🇪🇺 EuropeConferenceProceedings of the Air and Waste Management Association S Annual Conference and Exhibition Awma2025#Carbon Pricing

Methodology Differences in Carbon Emissions Estimation within EU Carbon Pricing Mechanisms and their Impacts on Steel Industry

Kuo P.Y.

This study examines how differing carbon emissions estimation methodologies within EU carbon pricing mechanisms affect the steel industry. Methodological choices shift calculated emissions and carbon cost burdens, with implications for deca…

Read more →
Peer-reviewedCNJournalJournal of Management Sciences in China2025#Carbon PricingDOI

Does carbon emission trading promote corporate energy conservation and emission reduction? Evidence from a quasi-natural experiment based on the pilot policy of carbon emission trading

Du X.q.

Using China's carbon emission trading pilot as a quasi-natural experiment, this study empirically tests whether emissions trading drives corporate energy conservation and emission reduction. It estimates the causal effect of the policy on f…

Read more →
Peer-reviewedConferenceProcedia Computer Science2026#Carbon PricingDOI

Pricing Emissions in the Arctic Region: Machine Learning Perspective

Petrov-Nerling G.

A study examining emissions pricing in the Arctic region through a machine-learning lens. With no abstract available, its specific contribution cannot be fully assessed, but it sits at the intersection of carbon pricing and ML methods. The …

Read more →
Peer-reviewedCNJournalQuarterly Journal of Economics and Management2024#Carbon PricingDOI

Carbon Tax in China: A Production Network Perspective

Chen S.

A study analyzing China's carbon tax through a production-network (input-output) lens. It likely traces how the tax propagates through supply chains, affecting costs and emissions across sectors. No abstract is available, so methods and fin…

Read more →
← Prev17 / 107Next →

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