GX & Decarbonization Research

Yongqiang Zhao, Jiale Li, Xi Song +1

This study uses IPCC methodology and Tapio decoupling model to analyze carbon emissions in Henan's Yellow River Basin from 2010-2019. Emissions peaked in 2013, with energy sector dominating (73.9%). Carbon intensity decreased by 50.4%, and …

V. Marcelo, F. Javier López-Díez, Vlad Nicolae Arsenoaia +2

This study presents the first systematic inventory of Romania's 20th-century reinforced-concrete grain silos, identifying and analyzing 201 silos across 130 locations. It assesses their spatial distribution, construction characteristics, an…

Dolruthai Jiarakul, Nutchapon Chiarasumran, Suprapa Somnuxpong

This study develops low-carbon creative tourism routes in Chang Moi, Chiang Mai, Thailand, using a mixed-method approach including LCA-based carbon footprint assessment. Three route programs were designed: one-day walking for international …

QIANGQIANG TAO

This data package supports a study on using explainable AI to audit the integration of circular economy and carbon neutrality in environmental assessment documents. It includes document features, sentence-level evidence, country-sector indi…

Phalguni Das Biswas, Pradip Dey, Hasim Kamal Mallick +5

This paper presents the Agriculture Carbon Footprint Assessor (ACFA ver 1.0), a standardized methodology for measuring carbon footprint in Indian agriculture. ACFA integrates region-specific parameters like agro-climatic variability, input-…

Mohammad Alresheedi, Meshari S. Alharbi, Md. Shafiquzzaman +4

This study evaluates the water, energy, and carbon (WEC) footprint of Qassim University in Saudi Arabia using the GHG Protocol for Scope I, II, and III emissions from 2022-2025. Results show energy savings of 33% from sensors, decreased Sco…

Zionts J, Allen M, Bartlett H

This study examines how divergent corporate and national emissions accounting frameworks hinder livestock mitigation, based on 41 interviews in four European countries. It finds that differences in system boundaries and metrics for non-CO2 …

Yan L, Zhou H, Weng K +4

This study uses life cycle assessment to quantify carbon flows across China's entire aluminum value chain, from bauxite mining to product processing. Electrolytic smelting accounts for over 85% of emissions; carbon intensity declined from 1…

Müller A, Martinez GE, Verkerk PJ +3

This study provides a forward-looking assessment of displacement factors (DFs) for wood products using time-explicit LCA under three decarbonization scenarios. DFs decline over time, especially for long-lived products, due to faster decarbo…

Blessing Gumindoga, Walter Svinurai, Tinyiko Halimani +1

This systematic review synthesizes evidence on greenhouse gas emission intensities (GHGEI) from extensive beef cattle systems in Africa, Asia, and South America. Reported GHGEI values vary widely: 6.3-305.8 kg CO2-eq/kg protein in Asia, 8.2…

Erandi Kalehe Kankanamge, Thiagarajah Ramilan, Peter R. Tozer

This study explores heterogeneity in New Zealand dairy farms and identifies management and production factors associated with GHG emissions and operating profits. Using panel data from 2012-2022, it finds that total feed intake, nitrogen fe…

Theurl M.C.

This study assesses greenhouse gas emissions from unheated soil-grown winter vegetable production in Austria and analyzes socio-economic factors influencing its diffusion. It provides insights for decarbonizing local food systems.

Felix Meier, Martin Quaas, Wilfried Rickels +1

This paper examines the role of carbon dioxide removal (CDR) in the transition from gross emissions to net zero using an analytic climate economy model. Key findings suggest CDR complements emission reduction efforts and enables cost-effect…

Bulfaro, Isabella, Sánchez, Anna, Fadul, Mikel +3

This study systematically compares GHG emissions from biomethane splitting for hydrogen and solid carbon under three accounting frameworks: EU RED III, UK Low Carbon Hydrogen Standard, and ISO LCA. RED III underestimates removal potential b…

Hao Yin, Sandrah P. Eckel, Mehak Kaur +9

This study proposes a machine learning imputation approach to estimate facility-level GHG emissions in U.S. hospitals from incomplete self-reported data. It improves data completeness and accuracy for carbon accounting.

Kevin Gurney, Bilal Aslam, Pawlok Dass +2

Using a new machine-learning global FFCO2 dataset (Vulcan-UrbanML), this study estimates urban share of global territorial FFCO2 emissions at 63.6-69.9% for 2022, and consumption-based urban share at 65.3-79.3%. Per capita urban emissions a…

V. Heggade

This paper proposes an ILCCA framework combining lifecycle economic cost and monetized carbon cost into a unified metric. A case study of two bridge alternatives shows that concrete has lower integrated cost, but higher carbon price narrows…

Jiyou Yuan, Yun Wang

This study investigates how long-term nitrogen inputs affect soil microbial communities and carbon cycling in subtropical forests, finding reduced carbon emissions and enhanced soil carbon sequestration, offering insights for forest managem…

Ella Hughes, Zeke Hausfather, Randall Spock +1

This paper proposes an accounting approach for neutralizing the warming response to emissions by combining emissions abatement and carbon dioxide removal (CDR) with varying durability. The approach translates climate impacts into a single m…

Oliver Díaz, Enrique González, Elisabet Segredo-Morales

This study presents a comparative cradle-to-gate carbon footprint analysis of various sludge management pathways in the Canary Islands. It finds that centralized thermochemical processing, especially pyrolysis, offers the greatest decarboni…