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: #Energy Transition (clear)

Showing 441–460 of 5759 papers

Peer-reviewed🇨🇳 ChinaJournalScientific Reports2026#Energy TransitionDOI

Network identification and key influencing factor analysis of low-carbon economy synergy efficiency in Chinese cities: an interpretable machine learning approach

Mengkun Xing, Yundi Liu, Qiang Wang

Using a super-efficiency SBM model, a modified gravity model, and social network analysis, this study measures low-carbon economy synergy efficiency across 271 Chinese prefecture-level cities (2008–2022) and maps their spatial association n…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Cleaner Production2026#Energy TransitionDOI

From policy-related proxy indicators to scenario space optimization: Carbon-neutrality-oriented emission reduction pathways for the building sector in Shaanxi Province, China

Fuming Lei, Liuhui Meng, Zengfeng Yan +3

This study develops an integrated framework combining policy-related proxy indicators, Ridge–STIRPAT estimation, feasible scenario-space construction, sensitivity analysis, and stage-wise interval-constrained optimization for the building s…

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🇪🇺 EuropeJournal2026#Energy TransitionDOI

Sustainable Corporate Practices in Climate Action

Sharizal Ahmad Sobri, Raunak Bishwa Lohar, Waqas Umerdraz +4

This chapter examines sustainable corporate practices in the UK's net-zero transition across energy, manufacturing, and service sectors. Using the EN-ROADS simulator and statistical analysis, it quantifies sectoral emission reductions, rene…

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Peer-reviewed🌍 GlobalJournalDiscover Sustainability2026#Energy TransitionDOI

Oil price uncertainty exchange rate vulnerability and energy dependence in major Asian economies with implications for sustainability transitions

Tahmina Akther Mim, Filipa Martinho, João Rodrigues dos Santos

Using Granger causality, DCCA and wavelet coherence for 2008–2023, this study examines how oil price uncertainty drives exchange-rate vulnerability in five Asian oil importers (China, India, Japan, South Korea, Thailand). Energy dependence …

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Peer-reviewed🇪🇺 EuropeJournalInternational Journal of Engine Research2026#Energy TransitionDOI

From predictive combustion modeling to real-time power plant digital twins: An integrated synthesis framework for low-carbon marine engines

Maciej Mikulski, Amin Mahmoudzadeh Andwari, Jari Hyvönen

This paper synthesizes the CASEMATE modeling framework, a traceable hierarchy from fuel-flexible chemical kinetics and multi-zone combustion to 1D engine simulation, model reduction, FMU modularization, and MBSE workflows for low-carbon mar…

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Peer-reviewed🇨🇳 ChinaJournalScientific Reports2026#Energy TransitionDOI

The impact of new quality productivity driven on green and low-carbon transformation of agriculture based on explainable machine learning

Xue Zhu, Ran Gong, Na Gong +4

Using 2011–2023 panel data from 30 Chinese provinces, this study applies kernel density estimation, spatial analysis, and a Bayesian-optimized interpretable XGBoost model to examine how 'new quality productivity' drives agriculture's green …

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