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 1521–1540 of 4137 papers
Marco Cucculelli, Noemi Giampaoli, Matteo Renghini
This paper operationalizes the EU's Net-Zero Industry Act (NZIA) technology framework at the firm level, using large-scale web scraping to extract unstructured data from corporate websites and map Italian firms' adoption and development of …
Yan Luo
This study proposes an AI-driven ESG scoring framework using Slime Mould Algorithm (SMA) for feature selection and Random Forest Regressor (RFR) for prediction. With rigorous preprocessing, it achieves RMSE 0.3649, MAE 0.2538, and R² 0.9912…
Konstantinos Georgantas, Michalis Skordoulis, Fotios Rizos +2
This systematic review (PRISMA 2020) examines how inclusive and sustainable local development is conceptualized and operationalized in municipalities, organizing evidence into three pillars: conceptual/theoretical approaches, governance/pol…
Nikki Wright, Richard Gordon
This practical guide explains why and how to produce a sustainability report. It covers the evolution of reporting, global frameworks and regulations, handling target changes amid renewable energy development, and leveraging the report to r…
Radka Atanasova, Ivan Dimchev
This review analyzes LCA studies on PV module recycling, covering c-Si, CdTe, CIGS, and perovskite technologies. It evaluates carbon footprint, energy consumption, and material recovery rates. High-purity recovery processes show lower impac…
Asger Smidt-Jensen, Mustafa Asfur, Tomer Cohen +2
This study evaluated a carbon-removal supply chain approach using Spirulina (GeoSpirulina) produced with geothermal energy and soil carbon sequestration, incorporated into dairy rations. A carbon-focused LCA and commercial feeding trial sho…
René Aïd
This paper explains the functioning of emissions trading systems and provides a model for optimal regulation. It offers a theoretical foundation for carbon markets and insights for policy design.
Srishti Agarwal, Shivam Tyagi, Jyoti Shakya +5
This study develops C-MoS2 nanocomposites from sugarcane bagasse-derived activated carbon and MoS2 via a one-step hydrothermal process. The solid-state supercapacitor achieves a high specific capacitance of 465.87 F/g, energy density of 32.…
Vincent F. Yu, Abhijit Bera, Rupantar Das +1
This study proposes a multi-objective fixed-charge transportation model under type-2 neutrosophic uncertainty, optimizing cost, time, and deterioration while integrating carbon cap and offset policies. Numerical experiments show fuzzy appro…
Ben Kolosz, Jon Gluyas
This article explains why different types of carbon capture are needed, with experts clarifying the distinctions and roles of various CCS technologies in achieving climate goals. It serves as an accessible overview for a broad audience.
Chenyan Wang, Yingying Jiang
This study proposes a data-driven, AI-assisted design framework for community low-carbon recycling terminals, combining K-means clustering and Kano-AHP to quantify user needs and prioritize design features. The developed terminal and platfo…
Kuanhou Tian, Le Sun
Using Chinese A-share listed firms from 2012-2023, this study finds institutional ownership is positively associated with absolute carbon emissions but negatively with emission intensity, with site visits strengthening monitoring. It highli…
Zixin Ma, Daliang Xu, Bobo Yang +6
Applies machine learning to synergistically optimize carbon emissions and contaminant removal in wastewater treatment plants. Proposes a control method that balances process efficiency and GHG reduction, contributing to carbon neutrality.
Jeanett Bolther, Nabil Abdalla, K. Biemann +5
This paper proposes systematic frameworks to enhance the reliability of GHG emission accounting for renewable transport fuels. It aligns with EU sustainability criteria and certification schemes, aiming to standardize accounting methods and…
Huajian Lu, Qifan Xu
This study proposes a surrogate optimization method for low-carbon retrofit of existing buildings, focusing on vulnerable older occupants. It quantifies energy-comfort trade-offs and identifies radiative cold-discomfort limits, highlighting…
Juan Qian, Y Shang, Ru Sha +1
This paper empirically examines the impact of China's carbon trading scheme on industrial green transformation, focusing on ownership composition and competition at the industry level. It analyzes how carbon price signals affect firms' emis…
Lei Chen, Yongqiang Zhu
This paper proposes a low-carbon economic dispatch model for an integrated energy system (IES) with electricity, heat, cooling, and gas, incorporating ladder-type carbon trading and demand response (DR). Loads are classified into fixed, tra…
Yang Wang, Wenhao Chen, Mengyi Di +3
Proposes a blockchain-enabled game-theoretic carbon trading mechanism for shipping enterprises, combining a Stackelberg game between regulator and firms with a bidding game solved via no-regret learning. Simulations show reduced emissions a…
Yue Wang, Lixuan Hu, Yishuang Lin
Using panel data from 278 Chinese cities (2006-2023), this study employs a staggered DID design to show that carbon emissions trading pilots significantly improve urban energy efficiency. Mechanism tests reveal that pilots promote green tec…
Guoyu Mao, Luqian Xu
Using China's carbon trading pilot as a quasi-natural experiment and panel data of A-share listed firms in high-carbon industries (2010-2023), this study finds that carbon trading significantly enhances corporate ESG performance. Executives…
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