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.
Showing 1501–1520 of 26995 papers
Paulo Sergio Pinheiro Lima
Reimplements modules M1 (mass) and M2 (manufacturing GHG) of the i3ET model as an auditable, testable program with a web interface. It reproduces vehicle mass across 72 configurations and cradle-to-gate emissions for twelve reference vehicl…
Ayşegül Toptal
This paper models a two-echelon manufacturer–retailer supply chain where each party faces a different carbon tax rate. It derives threshold conditions under which optimal replenishment simplifies to lot-for-lot ordering, and shows that rais…
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…
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…
Jia-Wei Yu, Zu-Heng Cheng, De-Xing An +3
Using land-use, socioeconomic, and MODIS NPP data, this study estimates China's land-use carbon emissions and sequestration for 2000–2021. Construction-land emissions rose 235% while forest sequestration grew 16.6%. A Gaussian Process Regre…
R. K. Naresh, Rajan Bhatt, Krishan K. Verma +3
This paper addresses AI-enabled regenerative practices for carbon farming. It likely applies AI/ML to soil carbon measurement and management, linking agricultural practices to carbon sequestration and credits. No abstract is available, so m…
Mengdie Chen, Min Cheng, Xin Wang +1
Using panel data for 30 Chinese provinces (2013-2024), this study tests competing effects of new-type infrastructure (NI) on carbon emissions with two-way fixed effects, system GMM, and instrumental variables. It finds an inverted U-shaped …
Tom Bearpark, Ben Groom
This is a replication package (code and data) for the Nature Climate Change 2026 paper introducing the 'Carbon at Risk' measure for managing carbon removal risk and guiding portfolio construction. It enables verification and reuse of the me…
Pipit Somefotorono Majid, Achmad Ruslan, Naswar +2
This doctrinal legal study assesses Indonesia's carbon tax against Sweden, Norway, Canada, and the UK. It finds an adequate normative foundation but weak effectiveness due to no binding price escalation, narrow sectoral coverage, fragile MR…
Sunbowen Zhang, 徐朝斌 XU Chaobin, Linsheng Wen +4
This study analyzes county-level carbon budgets in Fujian Province, China (2000-2023), mapping spatiotemporal dynamics of emissions and sequestration. Emissions show a coastal-high, inland-low pattern, while compensation rates are temporall…
Marco Gigantino, Stefano Mingolla, Lorenzo Rosa +2
A modular solar-powered unit converts crop residues and manure into stable solid carbon via anaerobic digestion, biomethanation and methane pyrolysis. A coupled mass-energy-cost model applied on a 5-arcminute global grid yields solid-carbon…
Xuechen Yang, Xiaojing Hu
This paper examines microbial carbon and its role in soil carbon sequestration. It links the global terrestrial carbon cycle to agricultural ecosystem management, discussing how microbial biomass and metabolites contribute to soil organic c…
Fei Chen, Shuo Zhang, Jiajun Chen +2
Integrating Landsat/Sentinel time series, random forest, LSTM–Land Change Modeler, and InVEST, this study reconstructs vegetation trajectories and a no-removal counterfactual after large-scale Spartina alterniflora removal in Yancheng, Chin…
Naima Iram, Kiah Eng Lim, Muhammad Ariq Khalingga +4
Soil organic carbon stocks and GHG fluxes were measured across six tropical intertidal seagrass meadows in Singapore. Top 0–25 cm stocks averaged 27.5 Mg C ha⁻¹ with high within-site variability unexplained by geomorphic setting. CO₂ flux d…
Ge Shi, Haoran Tang, Wei Wang +4
This work proposes a multi-source data fusion and explainable machine learning framework to map built-environment carbon emissions at fine spatial scales in high-density urban regions. It aims to improve urban emissions estimation accuracy …
Zeying Li, Yingying Bi, Yalong Li +4
This study quantifies the coupling coordination degree of water-energy-carbon (WEC) systems in coal chemical parks of China's Yellow River Basin and identifies driving factors. It highlights resource-decarbonization trade-offs in heavy indu…
Haslinda Mohamad Hamran, Khamarrul Azahari Razak, Hsiao‐Wen Wang +8
Using hydrodynamic modelling under 5- to 100-year ARI scenarios on Penang Island, the study maps intensifying urban flood trends. It develops a community-led NbS retrofitting framework—bioswales, infiltration wells, and retention storage in…
Khushboo ., Sofia Arif, Naji Ullah +7
Agriculture contributes 21-37% of global GHG emissions while being highly climate-vulnerable. Reviewing 109 studies, this paper assesses nature-based solutions (NbS) such as conservation tillage and agroforestry, finding carbon sequestratio…
David Blaettner, Vanessa Weiss, Lydia Maria Lienhart +3
Based on Invest4Nature public-sector interviews, this brief maps drivers and barriers to Nature-based Solution (NbS) investment. Despite cost-effective climate and community resilience benefits, NbS economic value remains under-recognized, …
David Blaettner, Vanessa Weiss, Lydia Maria Lienhart +3
This brief draws on Invest4Nature (I4N) public-sector interviews to map the drivers and barriers of Nature-based Solution (NbS) investment and the role of different governance levels. NbS deliver cost-effective environmental, social and eco…
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