gxceed
GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Scope 3 (clear)

Showing 1–3 of 3 papers

🇯🇵→🌍 Japan-to-Global🇯🇵 Japan📚 Peer-reviewed · JournalJ-STAGE#Scope 3DOI

A Study on the Proportion of Ports in CO2 Emissions from International Maritime Container Transport

2024A-OS15-4 国際海上コンテナ輸送に起因するCO2排出量に占める港湾の割合に関する一考察

(著者不明)

This study analyzes the proportion of ports in CO2 emissions from international maritime container transport, estimating the contribution of ports and providing implications for emission reduction strategies.

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🇯🇵→🌍 Japan-to-Global🇯🇵 Japan📚 Peer-reviewed · JournalJ-STAGE#Scope 3DOI

Re-evaluating the Warming Load from Livestock Production: Manure-derived Emissions Can Be Reduced

「家畜生産が原因の温暖負荷を再評価。 ふん尿起源排出は削減できます」

(著者不明)

This paper re-evaluates the greenhouse gas load from livestock production, focusing on manure-derived emissions. It suggests that improved manure management can significantly reduce these emissions.

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#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