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 1421–1440 of 1765 papers
Bellucci F.
This research focuses on methodologies for measuring and reporting greenhouse gas (GHG) emissions at the urban scale, discussing improvements to city-level emission inventories and alignment with international reporting standards.
Meghann Smith, Manveer Mann, Pankaj Lal
This study compares life cycle assessment (LCA) of data center IT equipment with conventional corporate GHG accounting methods (average-data and spend-based). LCA yields 0.710 kg CO2 eq/kWh, close to the average-data method (0.723 kg CO2 eq…
Xingling Huang, Peihua Shi, Yan Song
This study conducts a dual-database review of tourism carbon emission research using WoS and CNKI. Tourism emission research has evolved from exploratory to multi-method, multi-scale, and policy-oriented, with international and Chinese stud…
Tianyi Zhang, Ru Liu, Da Chang +2
This study develops a unified carbon accounting framework integrating energy, industrial processes, and electricity transmission for Haidong City, China. Using official data and remote sensing, it quantifies carbon emissions and sinks from …
Xin Chen, Isabela Butnar, Paul E. Dodds +1
This study employs prospective life cycle assessment to evaluate the feasibility of achieving net zero greenhouse gas emissions in UK traditional cider production by 2050. It examines various transition pathways, including changes in agricu…
Lijuan Chen, Yimeng Wu, Qi Wang +5
This study quantifies carbon footprints of renewable energy-driven seawater desalination retrofitting in China's coastal areas. It compares emission reductions across regions and technologies, demonstrating the feasibility of low-carbon wat…
Andy Gibson
This study challenges the claim that timber is carbon-negative by linking timber extraction to forest management success rates. Using UK building archetypes, it finds that a modest increase in carbon-optimization in silviculture is needed f…
오세호, Meen Chel Jung
Using district-level data for 2022 from South Korea, this study analyzes spatial patterns of carbon emissions (buildings and transport) and sinks (forests). It reveals that similar net carbon balances can arise from different emission-sink …
Weiskittel, Aaron R.
This study conducts an intercomparison of two forest carbon models (libcbm and GCBM) across 48 CONUS states with a 50-year scenario sweep. Under historical disturbance, CONUS shifts from a carbon sink to a source; reduced clearcutting emerg…
Muhammad Adil
This first global meta-analysis quantifies the effects of no-till (NT) and legume cover crops (LCC) in dryland wheat. NT-LCC increased soil organic carbon by 28.5%, reduced N2O emissions by 16.2%, and boosted yield by 24.1%. Benefits were g…
Olarewaju T.
This paper proposes a comprehensive model for developing SME net zero capability that incorporates insights from grey literature. The model addresses SME-specific resource constraints and provides a framework for practical capacity building…
Saeed Awadh Bin-Nashwan, Anas Rasheed Bajary, Muhammad M. Ma’aji
This study examines how ESG maturity drives AI adoption for carbon accounting in manufacturing firms. It finds that technological readiness and top management support mediate this relationship, positioning ESG maturity as a strategic capabi…
R. Caro-Carretero
This study proposes a method to automatically track household carbon footprints using banking data in Spain. Analyzing 1,017 individuals, it disaggregates emissions into mobility, restaurants, housing, and shopping, showing that age, income…
Y C Zhu, Hanwei Liang, Yifei Wang +1
This study analyzes agricultural carbon emission efficiency and its regional convergence in China, examining the role of land use modes and economic factors. Findings suggest efficiency improvements but persistent regional disparities.
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…
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