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 1001–1020 of 4160 papers
Xiangyu Zheng, Menglan Xiao, Jianming Zhu +5
This study evaluates 32 waste-to-chemical pathways integrating thermochemical and electrochemical conversions for wastewater treatment plants. Sequential coupling with formate production achieves up to ~35% emission reduction. Experimental …
Jincheng Wu, Zhe Zhao, Philippe Ciais +11
This study estimates global mangrove aboveground biomass (AGB) using satellite data and field observations, projecting changes under SSP126 and SSP585 scenarios. Under high warming, sea-level rise causes a 19.3% decrease in AGB, with restor…
Chenrui Zhang, Wenrui Wei, Xianxia Yuan
This review summarizes recent advances in electrothermal shock (ETS) technology for synthesizing and recycling lithium-ion battery (LIB) cathode materials. ETS enables ultrafast heating, significantly reducing energy consumption while enhan…
Alessandra Allini, Alessandro Corrado, Luca Ferri +1
This study examines how abnormal tone in ESG reporting (discretionary narrative unexplained by fundamentals) affects firm value and the value relevance of accounting information, using a sample of 2,002 European listed firms (2017-2024). Us…
Chayapat Phonlaboon, Nuttavong Poonpool, Salakjit Ninlaphay
This study examines the relationship between ESG disclosure and investor reactions for Thai listed firms using Bloomberg ESG scores and an event study approach. Analyzing panel data from 2019-2022, it finds that overall ESG disclosure and e…
Haorong Han
This study compares ESG disclosure quality of BYD and Tesla from 2022 to 2024, developing a unified framework assessing content completeness, data continuity, and visualization effectiveness. It finds BYD follows a standards-oriented approa…
Philipp Krueger, Zacharias Sautner, Dragon Yongjun Tang +1
This paper constructs a comprehensive dataset of mandatory ESG disclosure regulations across countries, integrating sources like C&S, SSE, and GRI. It provides a systematic overview of country-level policies, updated from the 2021 version, …
Hao Qin
This package provides data and Python code for a comparative carbon footprint assessment of a 72.5 kWh NCM622 automotive battery under three frameworks: EU delegated act draft, GBA Battery Passport, and QC/T 1247—2025. It includes harmonize…
Qinxuan Nie, Jie Tan, Xiaojuan Guo +6
This study analyzes the thermodynamic performance and carbon footprint of supercritical water gasification of rice straw for different target products (e.g., hydrogen, methane). It evaluates the efficiency and environmental impact of biomas…
(著者不明)
This study examines how digital transformation, innovation culture, cultural capital, digital media literacy, and R&D intensity affect carbon footprint reduction and green innovation in developed vs. developing economies. Using panel data f…
Qing Wang
This review systematically explains the concept of circular logistics, integrating circular economy principles into logistics engineering to minimize waste and carbon footprint. It clarifies differences from traditional logistics and presen…
Yidi Xu
This paper provides scripts for assessing the impact of disturbances (fire, logging, pests) on global forest carbon budgets. It enables modeling of carbon dynamics with disturbances, improving projections of forest carbon sinks.
Yuanyang Guo, Liqi Xu, Miaoxi Gu
Using panel data from Chinese cities (2008-2023), this study empirically examines how AI entrepreneurship affects carbon emission intensity. It finds an inverted U-shaped relationship: early expansion increases emissions, but after a thresh…
Ana Julieth Calderón Márquez, Beatrice Smyth, Dan A Smale +2
This review evaluates 16 empirical studies on European wild seaweed ecosystems against three criteria: permanence, MRV feasibility, and net climate benefit. It finds no evidence meets policy-grade accounting standards, supporting a precauti…
Anirban Akhand, Inés Mazarrasa, Stacey Trevathan-Tackett +9
This dataset compiles 434 estimates of allochthonous particulate organic carbon (POC) contribution to sedimentary carbon stocks in seagrass, saltmarsh, mangrove, and tidal freshwater wetlands from global literature. It includes source track…
Jolly Masih, Dinesh Yadav, Sanskriti Singh +3
This study examines whether carbon credits are credible climate solutions or greenwashing, focusing on the gap between institutional narratives and public discourse. Using mixed methods including VADER sentiment analysis, Google Trends, Tal…
Sebastian F. Henzler, Daniel Rezo, Patrik Postweiler +2
This study implements real-time capable economic nonlinear model predictive control (eNMPC) for adsorption-based direct air carbon capture (DACCS) to reduce electricity costs via demand-side management. By using a smoothing approach for dir…
Chikezie Nwaoha, Xiujie Zhang, Yufei Huang +2
This study experimentally evaluated the CO2 absorption performance of a novel AMP–DA2MP–MEA tri-solvent amine blend. Using a bench-scale absorption column, initial absorption efficiency, mass transfer coefficient, absorption heat, density, …
Ali Fadiel, Ali Osman Büyükköse, Rakesh Choudhary
A structured bibliometric review of energy storage technologies and policies (2023-2025). Lithium-ion dominates short-duration services, while sodium-ion, flow batteries, hydrogen, and others address diverse needs. For MENA, portfolio-based…
Gang Lü, Bo Yuan, Wenying Liu
This paper proposes a two-layer optimization model for source-storage coordinated planning in new power systems. The upper layer minimizes investment cost and carbon emissions, while the lower layer optimizes operation cost and storage mark…
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