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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Showing 1781–1800 of 37251 papers

Peer-reviewedConferenceIccrem 2017 Industry Regulation and Sustainable Development Proceedings of the International Conference on Construction and Real Estate Management 20172017#Carbon PricingDOI

Theoretical analysis review of public buildings carbon emissions trading

Zhang L.

A theoretical review analyzing carbon emissions trading applied to public buildings. It likely examines design issues and incentive structures for extending ETS to the building sector. Empirical findings are unverified as no abstract was av…

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Peer-reviewedConferenceIccrem 2016 Bim Application and Offsite Construction Proceedings of the 2016 International Conference on Construction and Real Estate Management2016#Carbon PricingDOI

Modeling the Economic Profit for Stakeholders of Public Building Carbon Emissions Trading

Zhang L.

This study models the economic profits that public building carbon emissions trading generates for stakeholders such as owners, tenants, and government. It examines how carbon pricing mechanisms shape energy-efficiency investment and revenu…

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Peer-reviewedConferenceProceedings of 2025 2nd International Conference on Economic Data Analytics and Artificial Intelligence Edai 20252026#AI × ESGDOI

LightGBM with SHAP Based Carbon Emission Risk Prediction Model Using ESG Disclosure Data of Listed Firms

Yu Z.

This study builds a LightGBM model that predicts corporate carbon emission risk from listed firms' ESG disclosure data. SHAP values are used to interpret which disclosure features drive predictions, adding transparency to the ML pipeline. I…

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Peer-reviewedConferenceProceedings of the Energy Sustainability Conference 20072007#Energy EfficiencyDOI

Cost optimization of net-zero energy house

Mertz G.A.

A study on cost optimization of net-zero energy houses (ZEH). Without an abstract, specifics are limited, but it appears to examine the trade-off between energy-efficient building design/systems and cost. Relevant to cost-effectiveness deba…

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Peer-reviewedJournalIndonesian Journal of Energy2026#Climate FinanceDOI

From Villages to Sustainable Energy Transition

P. D. Suhartanti

A qualitative case study of 30 Village-Owned Enterprises (BUMDes) managing water tourism in Klaten, Central Java, examining how community-based financing models support water resources as an alternative energy source. Using SWOT analysis, i…

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