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 20861–20880 of 37251 papers
Omurbekova M., Bekturganova A., Kudabaeva N.
This paper proposes a quantitative methodology for climate risk assessment within corporate long-term strategic planning. It integrates financial stress testing of physical and transition risks, and provides a step-by-step algorithm for inc…
Andrew G. Ross, Julia Gershenzon, Andreas Kleefeld
This paper extends Cross-Impact Balance (CIB) analysis by applying Linear Response Theory, deriving four novel analytical objects: the Type I cross-impact multiplier, perturbation budget, impulse response function, and unit-impulse shock pr…
Yanfen Yang, Ziwei Yang, Hairui Zhao +1
This study manipulates precipitation in Qinghai Lake lakeside wetland, measuring CO2, CH4, N2O fluxes. Results show that wetting and drying affect emissions differently depending on time of day and treatment intensity, with complex correlat…
Saijun Zhou, Zhijie Zheng, Yongyi Yu +6
This study analyzes GHG emissions from four Chinese WWTPs with different processes using 2022 monthly data. Indirect emissions dominate, driven by electricity. Membrane bioreactor processes show highest intensity due to energy demands. Exis…
Dandan Liu, Kaipeng Zhai, Li Chen +7
This paper reports that a composting technology combining membrane and electric field simultaneously promotes greenhouse gas emission reduction and humification. Although specific data are not available, it suggests potential applications i…
Tao Li, Yi Wu, Mingyang Li
This study proposes a stacking ensemble model with SHAP interpretability to map forest carbon density and net primary productivity. Using forest data from China, it provides insights for management zoning. The work fits the AI×ESG intersect…
An Thi Binh Duong, Linh Tran Khanh Do, Scott McDonald +4
This study develops and empirically tests a strategic framework using evolutionary machine learning (EML) to drive sustainable performance in construction firms. Analyzing 213 Vietnamese construction companies, it finds that aligning EML in…
Puneet Kamboj, Raphael Apeaning, Mohamad Issa Hejazi
This paper comprehensively analyzes the concept of fairness in global net zero mitigation targets. It proposes a framework for equitable burden-sharing based on national emissions responsibility and capability, balancing climate justice wit…
Anu Agarwal, Amit Kanudia, Tarun Sharma
This paper models the future of energy transitions in India through integrated, multi-level decarbonization strategies from sector coupling to carbon neutrality. It provides insights for policy and planning.
Chie Sato, Hirokazu Kato, Feifan Xu +1
This study proposes a simplified method to estimate CO2 emission reductions from passenger transport due to compact city measures. It introduces a distance-band-based estimation framework that reduces data requirements while retaining spati…
Mustafa Naimoğlu, Muhammad Shahbaz
This paper examines the role of renewable energy, nuclear power, and energy efficiency in US decarbonization using the Environmental Kuznets Curve (EKC) framework. It analyzes how these factors influence the relationship between economic gr…
Ekaterina Bogdan, Larisa Belan, Irik Saifullin +1
This study estimates annual carbon sequestration from natural reforestation of fallow land in the Yangan-Tau UNESCO Global Geopark in Russia and compares it with tourism-related carbon emissions. Using remote sensing and field data, it find…
Ali Taileb, Mohammed Fareed Sherzad
This paper develops and applies a structured energy audit methodology for a multi-unit residential building in Toronto, combining site inspections, thermographic analysis, benchmarking, and eQuest simulation. It identifies space heating and…
Karimzadeh M.
This paper analyzes the impact of deagriculturalisation on India's net-zero emission trajectory using a Bayesian VAR model. It quantifies the effect of agricultural sector contraction on CO2 emissions and provides policy recommendations for…
Tukun Wang, Jingyang Li, Zhikang Huang +1
This study develops a simulation workflow for climate-adaptive green retrofit of a historic Chaoshan residence in hot-humid Lingnan. Baseline evaluation revealed summer overheating, insufficient daylighting, and poor ventilation. An integra…
Zujian Huang, Ming Cheng, Yuchuan Zheng
This systematic review analyzes 90 studies on life-cycle carbon emissions (LCCE) of rural dwellings, covering 309 cases mainly in Asia and Europe. Stage-by-stage analysis reveals that while material production is most studied, the operation…
Michela Costa, G. Del Papa, A. Palombo +2
This paper presents a model-based design and techno-economic assessment of a BESS retrofitting a hybrid diesel-electric ferry. Two energy management strategies are evaluated: Strategy 2, which adds in-navigation recharging, achieves 17% ann…
Amanda Solliday, Minliang Yang, Melinda Knuth
This study compared GHG emissions from two distribution models for cut flower supply chains in North Carolina: direct delivery and hub-and-spoke. Life-cycle assessment using data from 10 growers, 14 retailers, and a wholesale hub showed tha…
Amal Dabbous, K. A. Barakat, Abbas Tarhini +1
This study examines how AI, digitalization, green finance, and regulatory quality affect quality of life (QoL) and energy transition using data from 54 countries. It finds that high AI readiness, digitalization, and regulatory quality are k…
Agung Nugroho, Andini Nurwulandari, E. Hasanudin
This systematic literature review examines whether ESG practices enhance corporate profitability and firm value, finding generally positive relationships but with context-dependent variation. Five key factors influence outcomes, including d…
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