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 29021–29040 of 37113 papers
Jinyu Fang, Wei Fang, Yue Wang +2
Using provincial panel data from China, this study employs a two-stage causal discovery and effect estimation framework to analyze interactions between climate action (SDG13) and other SDGs. Nationally, synergies with ecological conservatio…
Xi Zhang, Li Qiu, Xuan Yao +1
Using panel data from Chinese traditional energy companies (2011-2024), this study empirically examines how digital-green synergy (DGS) enhances supply chain resilience (SCR) through three pathways: precise risk perception, agile dynamic re…
Matthew Hollingham, Juan Pablo Gevaudan
This study develops novel supplementary cementitious materials by pairing chemical activation and carbonation of basalt, incorporating carbon capture. This approach reduces the carbon footprint of the cement industry.
Zhiyuan Fan, Bolun Xu
This paper presents design optimization and global impact assessment of solar-thermal direct air carbon capture (DAC), showing it as a lower-cost alternative to geothermal heating for carbon removal.
Jing Yang (13969), Haiou Zeng, Ningran Wu +4
This study uses molecular dynamics simulations to elucidate CO2 transport through nanoporous graphene membranes at gas-liquid interfaces. It reveals that pore-edge electrostatics enhance interfacial hydration, which suppresses CO2 permeance…
Widi Astuti, Dwi Putri S Aritonang, Maya Anggraeni +6
This review systematically evaluates CO2 capture using activated carbon (AC) derived from agricultural waste, following PRISMA guidelines. It finds that chemical activation, especially with KOH, enhances surface area and microporosity, impr…
Rongmin Zhang, Lianjun Chen, Gang Pan +5
This study examines the use of cement-stabilized loess as an infill for underground mine sealing walls, evaluating strength, disintegration resistance, and microstructural controls across three coal regions in China, highlighting its potent…
Yiksing Peng, X Wang, Weilong Gao
This study examines the joint impact of China's New Energy Demonstration Cities (NEDCs) and Low-Carbon City Pilots (LCCPs) on manufacturing firms' green total factor productivity (MFGTFP) using panel data from 2007-2024. A multi-period diff…
Sandra Cunha, Kubilay Kaptan, Adelino Elias Chiaqui +1
This study explores the use of thermally activated mixed construction and demolition waste (CDW) as a partial cement replacement in low-carbon concrete. Concrete mixtures with 5-35% replacement were tested for physical, mechanical, and dura…
Yanmei Yuan, Le Sun, Zongyun She +2
Agricultural carbon emissions require adoption of low-carbon fertilization technologies (LCFTs). A choice experiment with 732 farmers in Shandong, China shows that subsidies, insurance, technical support, and multi-channel publicity are sig…
Xue-Fei Chen, Wei-Zhi Chen, Jing Hu +2
This paper examines graphene oxide (GO) for enhancing low-carbon concrete performance and includes a life cycle impact assessment. Results indicate GO improves mechanical properties while reducing carbon emissions, promising for sustainable…
Shukai Zhang, Chengzhi Yu, Shuang Liang
This study reframes street-level urban renewal as a coordination problem between vitality and low-carbon performance. Using multisource data and interpretable machine learning, it diagnoses vitality-carbon mismatches in Chengdu, China, find…
Abdul Rehman, Suyang Zhou, Sheeraz Iqbal +3
This paper proposes an Adaptive Quantum-DRL Multi-Objective Optimization (AQ-DRLMO) framework for low-carbon CCHP systems. It integrates quantum-inspired evolutionary algorithms with deep reinforcement learning, achieving 40.08% emission re…
Sergey Pershin
This system combines standardized basalt blocks, parametric design, and robotic tuning to create mortar-free, interlocking, seismic-resilient walls. It offers 15-25x lower CO2 emissions than reinforced concrete with comparable structural pe…
Samuel Bohdan Netherclift, Peter Annear, Elise Moo +5
This rapid scoping review systematically gathers and analyzes literature on the just energy transition for climate-resilient and low-carbon healthcare in the Asia-Pacific region. From 46 eligible documents, themes including electrification,…
Rui Wang (52434), suyong zhang
This repository provides Python code and numerical outputs to simulate the green-digital collaborative low-carbon transition of the port-shipping system under carbon tax regulation. It includes centralized, port-led, and shipping-enterprise…
Shunyu Zhu, Zhao Xu, Jian Zhang +1
This paper proposes a composite carbon emission factor (CCEF) demand response framework that adaptively integrates dynamic and marginal carbon emission factors. The co-optimization model minimizes generation costs under network constraints …
Jing Chen, Zhiying Huang, Lihua Zhao +2
This study analyzes how embodied carbon transfer (ECT) and carbon sequestration service flows (CSSF) interact to reshape urban carbon neutrality across 297 Chinese cities. It identifies spatial patterns and driving mechanisms, finding that …
Y. Lee, Eo Jin Choi, Seung Wan Kim
This paper proposes an optimization framework for corporate renewable electricity procurement combining direct PPA, wholesale market purchases, and energy storage, under the Korean electricity market rules. A MILP model minimizes annual pro…
Abdullah A. Aljughaiman, Mosab I. Tabash (17340850), Suzan Sameer Issa +1
This paper provides descriptive statistics of conditional volatility series for MSCI European emerging stock markets and EU-ETS carbon prices. The results suggest volatility linkages, offering a foundation for understanding cross-market int…
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