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 12061–12080 of 17702 papers
Junhong Hu, Chen Li, Chenchen Li +2
This study develops a bi-objective route-choice model for multimodal freight transport that minimizes total cost, time, and carbon emission costs under uncertain demand and dynamic transshipment time. Using chance-constrained programming an…
Chinedu Michael Chiejine, Endurance Ikechi Eke
This study uses simulated data from 200 international shipments to compute carbon intensities of air, road, rail, and sea transport. Regression analysis shows that transport costs (coefficient 0.0004, p<0.001) and delivery time (0.018, p=0.…
Mari Luomi, Axel Michaelowa
This paper provides the first analysis of how Gulf Cooperation Council (GCC) countries can engage in Article 6 carbon markets, using internationally transferred mitigation outcomes (ITMOs) to manage residual emissions and support hard-to-ab…
Nicolas Alaux, Nicolas Bechstedt, Xiaoyang Zhong +6
Modeling building stocks for all 27 EU member states, this study evaluates 4096 life cycle emission scenarios. To meet 2030/2050 targets, 8.53 Gt CO2e must be avoided (≈10 years of 2020 emissions). Relying solely on energy efficiency and ma…
Remya Geetha Sadasivan Nair, Arun Kumar Narayanan Nair, Shuyu Sun +1
This study uses density functional theory to analyze amine-based solvents for CO2 capture, investigating reaction mechanisms and energetics to guide solvent design for carbon capture applications.
Divya Bajpai Tripathy, Subhalaxmi Pradhan, Pooja Agarwal +1
This review comprehensively surveys recent advancements in carbon capture and utilization (CCU) technologies, focusing on converting captured CO₂ into industrial products such as synthetic fuels, green chemicals, and construction materials.…
Jiaojiao Ni, Qing Jiang, Qiwei Zhan +2
This study develops a geopolymer cement (SGPC) using 80% industrial solid wastes (soda residue, slag, phosphogypsum). At optimal water-solid ratio 0.43, it achieves 28-day compressive strength of 1.45 MPa, reduces CO2 emissions by 74.7% (23…
Haoyu Liao
This paper analyzes the economic benefits of low-carbon cities via three pathways: cost savings & jobs, carbon markets & green finance, and comparative trajectories. Using data from IEA, EU-ETS and case studies (Copenhagen, China, EU), it o…
M. Vaigundamoorthi, M. Thirumalai, Savitha Venkatesan +4
This paper proposes a virtual power plant (VPP) coordination framework for low-carbon energy systems. Using multi-objective optimization, it balances resilience and carbon awareness, aiming to integrate renewables and reduce emissions.
Jian Zhao, Zhongwen Zhang, Keran Huang +2
This study proposes a correlation model to estimate compute-related power load from processor states, an aggregated utilization method for low-carbon allocation using fragmented resources, and a coordination framework integrating controllab…
Lissy Langer, Anne Neumann, Benjamin Fram +1
This paper analyzes regulatory instruments for emerging hydrogen and low-carbon fuel markets in the shipping sector. It compares policies and international frameworks, examining design and implementation challenges for effective regulation.
Queen Esther Oye, Dominic E. Azuh
This study uses an environmental DSGE model for Nigeria to analyze carbon tax, green subsidies, and green relending policies. An unexpected carbon tax is recessionary while subsidies and relending are expansionary; proper sequencing is key.
Chi Wei Su, Weiyi Liu, Meng Qin +1
This paper empirically analyzes the impact of artificial intelligence (AI) on achieving carbon neutrality in China. It finds that AI can contribute to energy efficiency and emission reduction, but also poses risks of increased energy consum…
Ahmed Al-Dmour, Hani Al-Dmour, Rand Al-Dmour +2
This study examines how Big Data Analytics (BDA) enhances sustainability reporting quality (SRQ) and corporate financial performance (CFP) in Jordan's manufacturing sector. Using mixed methods and PLS-SEM on 224 firms, it finds BDA signific…
Nick DiCintio
This paper presents a data-driven framework for fleet electrification planning for a university's facilities management, integrating total cost of ownership analysis with telematics data. It finds that strategic replacement of high-emitting…
Evan DiCosmo
This paper analyzes the U.S. nuclear power industry using Actor Network Theory to address surging electricity demand from data centers. It identifies cost, permitting, waste, and public opinion as key factors, recommending a mix of nuclear …
Attila Kálmán, Katalin Bene
This study evaluates the Hungarian 'Green City' program with 198 projects, focusing on blue-green infrastructure's stormwater management and carbon mitigation. Using real data and lifecycle assessment, it finds that tap water irrigation inc…
Herman Usman, Laily Ramadhany Can, Marno Wance
This study qualitatively examines the socioeconomic and ecological impacts of the energy transition driven by nickel mining in Central Halmahera, Indonesia, using a development sociology framework. It finds that mining has altered livelihoo…
John Grin, Joep Frens, Thomas Hoppe +10
This paper proposes a Just PREPARE approach for energy transitions in underprivileged neighborhoods, addressing resident resistance due to trust issues. It uses double-eyed methods to align solutions with residents' needs and participatory …
Mübariz Hasanlı
This study examines whether emissions per capita are converging across EU countries using nonlinear dynamics and structural breaks, highlighting the need for policy harmonization.
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