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: #Climate Science (clear)

Showing 61–80 of 1260 papers

Peer-reviewedConferenceProceedings of 3rd International Conference on Machine Intelligence and Digital Applications Mida 20262026#Climate ScienceDOI

Predicting Soil Greenhouse Gas Emissions with a CNN-SVR Hybrid Neural Network

Zhai Y.

A hybrid CNN-SVR neural network is proposed to predict soil greenhouse gas emissions. Soil GHG fluxes matter for agricultural and land-use emission inventories, so improved ML prediction could sharpen monitoring. However, with no abstract a…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Climate ScienceDOI

Urban Morphological Evolution and the Spatial Restructuring of Carbon Emissions in High-Density Taipei: A 3D Historical GIS, XAI, and MGWR Analysis, 1980–2025

Ming-Chih Jason Wang, Ming-Chih Jason Wang

Using 27,239 grid cells and 1980–2025 data for Taipei, this study integrates historical GIS, remote sensing, LOD1 building models, and metro OD data with XGBoost, TreeSHAP, and MGWR. MGWR achieves adjusted R2 of 0.886, revealing multiscale …

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Peer-reviewed🇨🇳 ChinaJournalUrban Climate2026#Climate ScienceDOI

Carbon sequestration potential of tree planting under future climate scenarios in the Guangdong–Hong Kong–Macao Greater Bay Area, China

Xiao Zhao, Shaoqing Chen, Xuemei Wang +4

This study assesses how much carbon tree planting could sequester in China's Greater Bay Area under future climate scenarios. It contributes a regional, scenario-based quantification of nature-based sink potential and how it shifts with cli…

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Peer-reviewed🇪🇺 EuropeJournalEconometrics Journal2026#Climate ScienceDOI

The Global Carbon Budget as a cointegrated system

Mikkel Bennedsen, Eric T. Hillebrand, Morten Ørregaard Nielsen

The four annual Global Carbon Project time series (atmospheric CO2, anthropogenic emissions, land and ocean uptake) are analyzed as a multivariate cointegrated system. Tests find rank-three cointegration with anthropogenic emissions as the …

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Peer-reviewed🌍 GlobalJournalFrontiers in Environmental Science2026#Climate ScienceDOI

Investigating connections between economic diversification, climate change, renewable energy and agriculture in MENA countries: new findings from the panel CS-ARDSL model

Ghassen El Montasser, Hichem Saidi, Simplice A. Asongu

Using a panel CS-ARDSL model for MENA countries (1993–2022), this study examines how economic diversification, climate change, and renewable energy affect agricultural value added. Diversification boosts agriculture in the short run, climat…

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Peer-reviewed🇨🇳 ChinaJournalCommunications Earth & Environment2026#Climate ScienceDOI

Stand-density optimization could substantially increase aboveground biomass in China’s planted forests without land expansion

Kai Cheng, Ang Chen, Yu Ren +13

Using paired UAV and satellite LiDAR, tree-density maps, and multiple biomass datasets across China's planted forests, this study shows aboveground biomass responds in a hump-shaped way to stand density. Matching density to local conditions…

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Peer-reviewed🌍 GlobalJournalSustainable Cities and Society2026#Climate ScienceDOI

Urban Structural and Infrastructural Inequalities Shape Fine‑Scale Carbon Footprints of Diet, Housing, and Transportation: Evidence from the Metropolitan Area of Mexico City

Rogelio Omar Corona-Núñez, Rosa Isela Jasso-Flores, Francisco E. Ramas Arauz +3

Using 992 household surveys and 100-m machine learning models, this study estimates spatially disaggregated per capita carbon footprints for diet, housing, and transportation in the Mexico City Metropolitan Area. Mean footprints reach 10.1 …

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Peer-reviewed🌍 GlobalJournalEconomies2026#Climate ScienceDOI

The Distributional Footprint of Carbon: Economic Development, Emissions, and Income Inequality Across 79 Economies (1995–2022)

Sadagat E. Ahmadova, Jeyhun Mahmudov, Rahibə ƏBDÜLHƏSƏNOVA +2

Using a 79-economy panel (1995–2022), this paper examines whether the carbon intensity of production relates to within-country income inequality. It finds that, conditional on income, higher per capita emissions are associated with lower me…

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Peer-reviewed🇨🇳 ChinaJournalLand2026#Climate ScienceDOI

Carbon Storage Dynamics and Multi-Scenario Territorial Regulation in South China’s Karst-Coastal Transition Zones Under the “Dual Carbon” Target

Haixuan Geng, Ling Xie, Yu Jiang +3

Using 2000-2025 land-use data, this study analyzes carbon-stock dynamics and drivers in South China's karst-coastal zones. Coupling PLUS and InVEST models, it simulates three land-management scenarios for 2030 and 2035. A steep-slope protec…

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Peer-reviewed🌍 GlobalJournalJournal of Cleaner Production2026#Climate ScienceDOI

Carbon balance in the Brazilian tropical dairy farming system

Sophia Aparecida Morro Chamilete, Matheus Deniz, A. L. M. Novo +4

This study integrates GHG emissions and removals into a farm-scale carbon balance for Brazilian tropical dairy systems, comparing high (HPS) and medium (MPS) production levels using IPCC and LEAP guidelines. HPS shows lower emission intensi…

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