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 1961–1980 of 4241 papers
MORELLI, Rocco
This paper critically revisits the Marchetti-Nakicenovic logistic substitution model of energy sources (IIASA, 1979) against actual global energy mix data for 2024-2025. It finds major divergences due to geopolitics and technological accele…
M. Natili, Alessandro Pellegata, Francesco Visconti
Amid the energy crisis after the Ukraine invasion, this conjoint experiment reveals European citizens' preferences for policy packages balancing climate, energy security, and income. Support for renewables rises with social transfers and pr…
Huazhe Jiao, Yongze Yang, Yixuan Yang +7
This review provides a theoretical and practical foundation for using red mud (RM) as a supplementary cementitious material. It clarifies CO2 mineralization pretreatment, interfacial bonding mechanisms, and alkali-activation pathways, demon…
Md Ruhul Amin, Sharif Mazumder, Pritam Saha
Using a novel climate policy uncertainty (CPU) measure, this study shows that firms reduce future innovation (patents, citations, value) in response to climate policy risk, with green innovation less affected. The mechanism is a precautiona…
Jingcheng Zhang, Xinru Ji, Sheng Cao +5
This study develops a highly efficient and durable bimetallic phosphide electrode (Fe-doped Ni12P5 nanoneedles on nickel foam) for seawater electrolysis, achieving low overpotentials at industrial current densities (1000 mA cm-2) and stable…
P. Das Biswas, P. Dey, R. Bera
This review positions aerobic composting of municipal solid waste (MSW) as a superior CCUS pathway compared to anaerobic digestion (AD). Aerobic composting suppresses methane emissions and stabilizes organic carbon into humified soil organi…
Sharifov Eldor, Eshmirzayeva Mohinur, Rashidova Nilufar Tulkinovna
This article reviews how electrochemical technologies—lithium-ion batteries, fuel cells, and electrolyzers—drive automotive decarbonization across the full life cycle. It highlights the benefits of battery EVs, the dependence of hydrogen's …
A. Riaz, Cuijian Zhong, Assad Ullah
This study examines the impact of energy prices on sustainable industrialization in 32 OECD countries from 2000-2021 using linear and non-linear models. Findings show that energy prices negatively affect sustainable industrialization, while…
Yubao Wang, Zhenzhong Liu
This study proposes a four-dimensional evaluation system with 22 indicators and a Fuzzy DEMATEL-MultiMOORA-Borda model to assess synergy between digitalization and decarbonization in coal power. Evaluating seven transition scenarios, it fin…
Xing Bao, Xu Zhang
This paper constructs a climate risk perception index from Chinese A-share firms' annual reports (2003-2023) and examines its impact on corporate green innovation. Stronger climate risk perception significantly promotes both quality and qua…
Senthil Kumar Srinivasan, S. Jayaraman, B. Sekar +3
This review compares green hydrogen, ammonia, and synthetic e-fuels, integrating advanced monitoring (AI digital twins, SCADA) with LCA. GHG reduction ranges 70-98% depending on electricity carbon intensity and boundaries. Hydrogen suits in…
Haoran Jiang, Huangming Lv, Yu Zhou +1
Under China's dual carbon goals, this study examines whether the Industry-Finance Cooperation Pilot Policy (IFCPP) enhances both quantity and quality of corporate green innovation. Using staggered DID on Chinese A-share listed firms (2012-2…
Cosimo Magazzino, Muhammad Haroon, Nawal Abdalla Adam
Using provincial panel data from 30 Chinese regions (2000-2020), this study examines how green finance (GF) affects renewable energy innovation. Employing VAR, GMM, and DID methods, it finds a strong positive effect (β=2.08) of GF availabil…
Zewen Ge, Jihui Liu, Shuai-hui Yuan +1
This review synthesizes evidence on five supply-side constraints slowing net-zero buildouts (permitting, capital intensity, critical minerals, social contestation, modeling) and argues that service-based sufficiency (Avoid-Shift-Improve) ca…
Na Li, Binod Koirala
This study presents a techno-economic assessment of a regulation-compliant local electricity community (LEC) in Switzerland, comparing a reference case without local exchange to an LEC with internal sharing. Results show that LEC participat…
Wen Jiang, Anxu Wang, Min Tao +2
This study constructs a tripartite evolutionary game model of government, suppliers, and manufacturers in the construction supply chain to analyze low-carbon transformation. Findings show that government subsidies have a nonlinear threshold…
Nabeela Ehsan
This study examines whether AI-driven ESG compliance monitoring reduces corporate sustainability risk using panel data from 320 listed firms (2016-2024). GLS regression shows AI monitoring significantly lowers risk (coefficient -6.84), and …
Yuhua Zhang, Mingxuan Zhang
This study proposes a two-layer optimal scheduling method for park integrated energy systems (PIESs) that integrates life-cycle stepwise carbon trading and low-carbon demand response (LCDR). It incorporates embodied carbon from new energy e…
Monica Singhania, Deepika Swami
This meta-analysis synthesizes 50 studies (2011-2024) across 15 countries to examine the ESG-cost of equity (CoE) relationship. It finds a positive association, which is weakened in countries with strong governance and high sustainability c…
Jiehui Chen, Dexing Sun, Feiwei Li +4
This paper proposes a dynamic multi-objective optimization framework for industrial electricity consumption, integrating high-precision load forecasting and optimal scheduling. An improved LSTM model (DGO-TA-LSTM) is used for forecasting, a…
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