This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 41–60 of 2645 papers
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…
Blaise P. Likamata, Simplice A. Asongu, Dieudonné Mignamissi
This paper examines the impact of natural resource exploitation on carbon transfer in international trade using a structural gravity model and EORA data for 106 exporting and 114 importing countries from 1999 to 2021. Results show that natu…
Mingjian Xie, Zhibin Tao, Yuanyuan Yu
This study examines how China's carbon trading pilots affect green innovation, focusing on the moderating role of digital transformation. Using a DID design on 31,048 firm-year observations, it finds no average effect but a significant 4.6%…
Alireza Daneshi, Azadi, Hossein, Yaghobi, Soraya +2
This archive supports a study auditing 2,662 public project records from the Global Environment Facility, Green Climate Fund, and Adaptation Fund to assess when public disclosure enables valid accountability inference. It includes machine-r…
Tim Jesper Suhrhoff, Christiana Dietzen, Tyler Kukla +47
Enhanced weathering (EW) is a soil-based carbon dioxide removal (CDR) approach with potential for durable carbon removal and agronomic co-benefits. This systematic review finds median area-normalized CDR fluxes of 0.84 tCO2/ha/yr and a glob…
Lena Wiest, Klas Wetterberg, Max Skoczylas +1
This paper examines the shift from project-level to scaled-up carbon crediting approaches, emphasizing the need for high integrity. Focusing on environmental integrity in jurisdictional forest crediting, it argues that scaled-up approaches …
Sarah J. Puls, Justin S. Baker, Rachel L. Cook +1
Using dynamic life cycle assessment, this study compares climate effects of 36 management scenarios for loblolly pine plantations in the southern U.S. It finds that carbon stock estimates alone fail to accurately reflect climate impacts, em…
Martina Ferrando, Francesco Causone
This perspective paper critically reviews the evolution of Urban Building Energy Modelling (UBEM) and proposes a goal-oriented classification based on final objectives rather than calculation methods. It identifies three key gaps: lack of s…
Matteo Giacomo Prina, Michel Noussan
This paper proposes a comprehensive framework to classify challenges in bottom-up energy system models into three pillars: accuracy, robustness, and comprehensibility. Based on literature synthesis, it analyzes dimensions such as temporal, …
Marques Alves Aguiar, Gabriela
This replication package provides data and code for a fixed-effects panel study of OECD countries (2015-2023), examining whether stronger carbon pricing signals are associated with lower per-capita GHG emissions. It includes cleaned dataset…
Lu, Hongyou
CAST is a bottom-up techno-economic model for estimating itemized production costs of iron and steelmaking technologies. It covers main processes from ironmaking to steelmaking, allowing users to quantify costs with blends of hot metal, DRI…
Nelson, Priscilla P.
This essay argues that measuring mining decarbonization via emissions intensity can mask a linear system. It distinguishes circularity into four loops, each capable of stagnating independently of carbon reductions. It cautions that circular…
Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi +2
This study models AI data-center load growth in a three-level Stackelberg-Bayesian game among regulator, ISO, and investors. It quantifies how carbon taxes and subsidies for renewables and second-life batteries reshape investment mix, emiss…
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