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 1421–1440 of 4168 papers
Lincoln Pinoski, Blake Latos, Devin Marigny +4
This review comprehensively covers rechargeable battery technologies for grid-scale storage, comparing chemistries like lithium-ion, sodium-ion, flow, and solid-state on performance, safety, and commercial readiness. It examines material su…
Simona Epasto, Maria Lúcia, Masiel Melissa Pereira
This paper examines AI integration in agrivoltaic systems, focusing on socio-territorial implications for rural landscapes. Through case studies including the European SYMBIOSYST project and GIS/UAV geospatial monitoring, it analyzes how pr…
Gola A, Piotrowska K, Piasecka I +3
This study evaluates the life-cycle environmental performance of C-segment passenger cars (gasoline, diesel, CNG, PHEV, BEV, FCEV) for 2025 and 2050, considering powertrain, materials, energy decarbonization, and end-of-life pathways. Recyc…
(著者不明)
This paper compares Scope 3 Category 11 (flight operations) emissions at Schiphol, Heathrow, and Fraport airports. It reports a 10.5% increase at Schiphol and 7.5% at Heathrow between 2023 and 2025, highlighting challenges in airport emissi…
Gonzalez, Ainhoa, Rezaei, Fatemeh
This report provides a comprehensive qualitative register of practical challenges in Cumulative Effects Assessment (CEA) and key cumulative socio-environmental risks in the offshore wind sector. Based on literature review, SEA/EIA report re…
Rudolph, David, Stoltmann, Estelle, Fajardo Ligero, Lucia +2
This report provides a qualitative review of socio-economic impacts of offshore wind farm developments and their assessment methods, drawing on international literature, SEA/EIA reports, and expert interviews. It conceptualizes key impacts,…
Hassan, Taimoor, Krajewski, Piotr, Arif Khan, Muhammad
This dataset covers G7 economies, including indicators on fiscal decentralization, renewable energy finance, technological progress, and carbon emissions. It supports empirical analysis of how these factors contribute to carbon mitigation a…
Hassan, Taimoor, Krajewski, Piotr
This dataset provides panel data for high-income economies on renewable electricity, energy taxation, and energy transition indicators. It enables analysis of non-linear and synergistic effects, serving as a foundation for empirical researc…
Oprescu, Robert-Daniel, Eugenia, Busmachiu, APOSTU, Iulia Maria +1
This paper presents a bibliometric review of ESG disclosure and greenwashing literature, analyzing 4,162 articles from Scopus using VOSviewer. It maps research trends from 2015 to 2026, identifying four clusters: ESG governance and reportin…
Pangaribuan, Hisar, purnama, yunus indra, Sihombing, Jenny +1
This study conducts a bibliometric analysis of 1,407 sustainability reporting (SR) publications from Scopus (2016-2026) using VOSviewer. It identifies eight thematic clusters covering strategic disclosure, transparency, governance, integrat…
Antti-Ilari Partanen, Tommi Ekholm, Jyri Seppälä +7
We propose a new approach to determine national GHG budgets consistent with the 1.5°C goal and compatible with national GHG inventory accounting. The method adjusts CO2-warming-equivalent budgets for non-CO2 GHGs and LULUCF indirect effects…
Qingyang Lin, Chenglin Li, Kai Wang +7
China's PV manufacturers, producing nearly two-thirds of global capacity, face criticism for high emissions. This paper proposes a Producer Decarbonization Contribution framework to quantify their overlooked contributions, finding they cont…
Minyou Qing, Suhaiza Zailani
This review systematically analyzes the application of AI-driven practices in road freight transport (RFT) decarbonization. Following the SPAR-4-SLR protocol, 227 articles were reviewed using bibliometric analysis and science mapping. Publi…
Wentao Lv, Yujian Ye, Tianxiang Cui +7
This paper proposes a multistage stochastic programming framework integrating hydrogen-electric energy and logistics scheduling for seaports. Using a Markov chain-based SDDiP algorithm, it handles uncertainties in ship arrivals and renewabl…
Caixia Liu, Changjuan Dong, Haibo Li +6
This paper presents a roadmap and technology framework for achieving near-zero carbon ports, based on multi-case studies of typical ports in China. It identifies key technological options and policy measures for port decarbonization and pro…
Li Zhang, Y.-C Chen, Ke Wang +12
This study develops a harmonized, source-resolved methane inventory for 339 Chinese cities (2018-2024) across energy, agriculture, and waste sectors. Using LMDI decomposition and scenario analysis, it identifies economic activity as the dom…
Xueqing Wang, Lang Wang
Using Chinese A-share listed firms from 2010-2023, this study shows climate risk exacerbates green innovation bubbles—a divergence between patent quantity and quality. Managerial myopia and financing constraints are key channels, while digi…
Vu Tuan Anh, Vu Thi Phuong Thao
Using firm-level data from Asian markets (2000-2024), this study finds that biodiversity impact reduction improves ESG scores by about 13.5%, with the strongest effect on the social pillar. Robust to IV and matching methods, the benefits ar…
Jørgen Kjøsen Lindgren
This perspective argues that companies removed from the CSRD's scope will still face stakeholder demand for sustainability information. Reporting under ESRS, especially double materiality, supports internal sustainability management, so rep…
Alfredo Merlet
This replication package constructs a Say-Do Gap Index for IBEX 35 firms (2019-2025) using a fine-tuned Spanish BERT (BETO) to detect unverified ESG commitments from media sources. It links the index to firm value (Tobin's Q, ROA, ROE) via …
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