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 1741–1760 of 5328 papers
Yiming Li, Yuzhou Ren, Tao Yang +2
Using panel data from 63 economies (2000-2020), this study examines how renewable energy innovation affects energy independence, finding an N-shaped effect shaped by colonial history. Machine learning reveals that smart grids and energy sto…
Brahim Soudani, Hamza Soualhi, Akram Salah Eddine Belaïdi +3
This study evaluates 37 mortar mixtures combining waste brick powder (WBP), waste ceramic powder (WCP), and marble powder (MP) as cement substitutes. Ternary mix 10%MP+20%WBP achieved highest 90-day compressive strength (~65 MPa), while 10%…
Emre Turgut, Filiz Nuran Acar
This paper discusses challenges and strategies for decarbonization and carbon neutrality at the city level. Specific methodologies or case studies are unclear, but it highlights the importance of urban policy and energy transition.
mohamed kamal arafa el-rakhawi
This paper proposes an engineering framework for an autonomous maritime platform (EOPTX) integrating solar-powered green hydrogen production, direct ocean carbon capture, and catalytic synthesis of carbon-neutral liquid fuels. It demonstrat…
Ashraf Essa
This paper presents an engineering study on concrete linings for underground thermal energy storage (UTES) systems to support low-carbon heating. It focuses on enhancing infrastructure durability and resilience, contributing to the efficien…
JunruLiu, Zhang Qiucheng
Sports venues require operation-oriented decarbonization beyond isolated equipment replacement. This study proposes an integrated framework combining green technologies, smart energy management, and climate-responsive strategies, applied to…
Kelly Murphy, Rebecca Forde, Misbah Mushtaq +9
This paper proposes upcycling low-density polyethylene (LDPE) waste into functional carbon anodes for sodium-ion batteries, addressing both waste management and energy storage. It contributes to circular economy and sustainable battery tech…
Qi Xia, Yi Chen, Yi Chen +2
This study evaluates low-carbon cropland use performance (PCLU) across 31 Chinese provinces from 2010 to 2023 using a super-efficiency SBM model and network analysis. PCLU improved but disparities widened, with network evolution driven by p…
Yoonha Lee
This paper presents an evolutionary game model of low-carbon technology adoption with environmental benefits and asymmetric policy, validated through extensive numerical simulations. Across 80 scenarios, theoretical predictions match numeri…
Jun Wang, Muyu Liu, Xin Wang +4
This study develops low-carbon concrete using low-carbon cement and multi-solid waste admixtures, evaluating performance, hydration, and CO2 reduction. It contributes to waste valorization and decarbonization of the cement industry.
Katarzyna Widera
This review analyzes the impact of EU climate neutrality policies (European Green Deal, Fit for 55, REPowerEU, Clean Industrial Deal) on Poland's hard coal sector. It outlines carbon footprint calculation methods using LCA and GHG Protocol,…
Jianhua Ma, Yongzhang Zhou, Luhao He
This paper analyzes the semantic knowledge structure and evolutionary pathways of carbon neutrality research, offering implications for cleaner production and sustainability transitions. By mapping research frontiers and trends, it provides…
Jing Bai, Lijia Fan, Yangxue Ding +3
This study develops a life-cycle carbon assessment framework for hospital buildings, using a Shenzhen hospital as a case. Operational emissions dominate (88%), with electricity accounting for 94%. LMDI and LEAP analyses identify drivers and…
Riccardo Maddalena, Diane Gardner, Ahmad Alhamdan +2
This dataset provides raw experimental data on strength and durability of low-carbon concrete incorporating recycled plastic coarse aggregate, including marine exposure tests. It supports sustainable construction and circular economy in the…
Zengchuan Wang, Yilin Hu, Yanfang Cui +4
This paper analyzes the synergistic reduction of carbon and hazardous air pollutant emissions embodied in inter-provincial trade in China from a national value chain perspective. It evaluates the impact of energy transition policies across …
Shikha Kumari, Nisha Kumari
This paper comprehensively examines pathways for decarbonizing global value chains (GVCs), proposing clean technology adoption, sustainable sourcing, trade policies like carbon border adjustments, and digital tools such as AI and blockchain…
Anam Ul Haq Ganie, Muzaffar Nazir, Ghadda Mohamed Awad Yousif +1
Using Indian data from 1992-2022, this study applies ARDL and KRLS models to examine the relationship between renewable energy consumption and public debt. It finds that in the short run, renewable expansion reduces debt through efficiency …
Yousef Pourjamal, Dmitrii Bogdanov, Christian Breyer
This paper analyzes the impact of solar photovoltaic (PV) adoption on the energy-industry transition in the Nordic and Baltic countries. It considers regional renewable energy policies and electricity market structures to examine the econom…
Bayu Prabowo, Nanda Agustian Simatupang, Suciani Rahma Pertiwi +5
This systematic review of 24 studies (2020-2025) in ASEAN examines trade-offs of energy transition on health, ecosystems, and equity. Clean energy yields health gains (e.g., 25% infant mortality reduction in Indonesia's LPG program) but als…
Zhuoxiao Wu, Yu Wei, Nathaniel Anderson
Develops a two-stage stochastic MILP model for willow-based pellet production, integrating seasonal harvesting and stochastic demand. Case study in New York shows stochastic inventory policies reduce mean cost by 1% and cost variability by …
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