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.

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

Showing 15221–15240 of 19546 papers

Peer-reviewed🇨🇳 ChinaJournalJournal of Building Engineering2026#OtherDOI

Seismic performance of masonry walls retrofitted with a low-carbon and low-intervention sprayed ECC: Experimental and analytical studies

Zhang Tian, Xiaoqin Li, Ning Wei +3

This study evaluates the seismic performance of masonry walls retrofitted with a low-carbon sprayed ECC (Engineered Cementitious Composite). Experimental and analytical results show enhanced strength and ductility while reducing carbon foot…

Read more →
Peer-reviewed🌍 GlobalJournal2026#AI × ESGDOI

AI/ML Augmented Subsurface Data Workflows for Low Carbon Datasets

Jess B. Kozman, Jack Bashian

This paper emphasizes that AI/ML workflows for low-carbon subsurface energy projects (geothermal, CCS) require high-quality, well-curated geotechnical data adhering to FAIR principles. It highlights that many datasets lack integration and g…

Read more →
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Public Health2026#PolicyDOI

The impact of low-carbon city pilot policies on urban energy intensity

Yuren Qian, Jiahan Hu, Bingnan Guo +2

This paper estimates the causal impact of China's Low-Carbon City Pilot Scheme (LCCPS) on urban energy intensity using a partially linear double/debiased machine learning framework with panel data from 273 Chinese cities (2006-2021). It fin…

Read more →
Peer-reviewedCNJournalSustainable Cities and Society2026#Energy TransitionDOI

Goal-oriented zoning for multifunctional land use: A multi-objective optimization approach to low-carbon transition in Shenzhen, China

Renrong Jiang, Haiyue Fu, Xinyi Chen +4

This paper proposes goal-oriented zoning for multifunctional land use in Shenzhen, China, to support low-carbon transition. Using multi-objective optimization, it balances economic, environmental, and social goals, demonstrating integration…

Read more →
Peer-reviewedCNJournalEkonomikalia Journal of Economics2026#ESGDOI

Board Gender Diversity as a Conditional Governance Resource: Evidence from Environmental Innovation in China’s Low-Carbon Transition

Shanshan Yue, Farhanullah Khan, Khartic Rao Manokaran +1

Using panel data from Chinese listed firms (2014-2023), this study examines the effect of board gender diversity on environmental innovation measured by green patents. Results show a positive association, but this effect is significantly st…

Read more →
Peer-reviewedJournalJournal of Environmental Risk Impact and Claims2026#PolicyDOI

Environmental Law and Climate Governance in India’s Low-Carbon Transition: Policy Instruments, Sectoral Interventions, and Emission Decoupling

Pramit Chandra Rout, Rubi Talukdar, Prabir Kumar Pattnaik +2

This paper examines the role of environmental law and climate governance in India's low-carbon transition, focusing on policy instruments, sectoral interventions, and emission decoupling. It assesses the effectiveness of India's climate pol…

Read more →
← Prev762 / 978Next →

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