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 1561–1580 of 12653 papers
Madhan Kumar Meganathan, Mohammed Abu Javid, Sathya Narayanan Bhaskar +1
This study introduces an auxiliary-free leather dyeing process using PAMAM-G0 dendrimers. It reduces water and energy consumption by ~50%, avoids ~831 kg CO2 per ton of leather, and enables a closed-loop system reusing dye baths for five cy…
Július Šimčák, Vladimír Szomosi, Ardian Hyseni +3
This paper analyzes the synergy between next-gen renewables, battery energy storage systems (BESS), and smart grids. It shows that distributed and centralized BESS stabilize fluctuations and provide network services like frequency regulatio…
Mei Dou, Liu Yang, Yuhao Qiao +1
This study proposes a high-resolution mapping method for building-stock carbon emissions. By considering spatial heterogeneity and using planning-indicator-based diagnosis, it provides concrete measures towards low-carbon cities. The findin…
Divyabhan S. Duggal, Haimeng Wu, Neil S. Beattie +1
This paper proposes a probabilistic multi-horizon forecasting framework based on a multi-output quantile LSTM architecture for industrial energy management with on-site renewables. It uses conformal prediction to improve prediction interval…
Juping Ge, Qixiang Miao, Xiaozhen Wang +3
This paper explores the application of digital technologies (BIM, IoT, digital twin) for low-carbon management across the entire lifecycle of construction projects. It compares domestic and international cases, summarizes implementation mod…
Qi Li, Wenxiong Wang, Zongbao Feng +2
This paper evaluates pathways for emission reduction and carbon sequestration in comprehensive land consolidation in rural China through configurational analysis of low-carbon behaviors. It suggests that combinations of various factors cont…
Leandros Paschalidis, Kai Fabian Kruber, Simon Müller +1
This paper examines the steam barrier as a design constraint in carbon capture and explores pathways to low-temperature regeneration, potentially improving CCUS efficiency.
Chen Chunxia, Zhihua Yang
This paper proposes a low-carbon logistics network optimization method for automotive parts using an improved particle swarm algorithm (IPSO). A multi-objective optimization model considering distance, load, and transport modes achieves low…
Xiaotong Jian, Ruohan Wu, Rong Xu +1
Using panel data of Chinese A-share listed firms from 2012 to 2022, this study finds that low-carbon policy intensity increases corporate financialisation (shift from real investment to financial assets). The mechanism is driven by short-te…
Sen Zheng, Yuanxun Zheng, Feng Long +2
This paper provides a comprehensive review of carbon-sequestering engineered cementitious composites (ECC) for low-carbon construction, covering mechanisms, performance, and sustainability implications, highlighting their potential as a CCU…
Ruoya Zhao, Shi Yin
Using provincial panel data from 31 Chinese provinces (2015-2024), this paper empirically identifies the causal impact of digital technology adoption on low-carbon economic transition via two-way fixed effects, IV, and bootstrap mediation t…
Donato Morea, Gabriele Piga
This paper presents a framework for sustainable industrial investment in the energy sector, examining how capital allocation and risk management can be aligned with low-carbon transition goals. It analyzes challenges and opportunities for i…
Md Mashiur Rahman, Daniel Ciolkosz
Biomass pelleting converts residues and biochar into standardized fuels, supporting industrial decarbonization and rural clean energy. This review examines technical performance, supply-chain constraints, and policy integration, finding tha…
Meihan Chen, Xiangyun Chang, Zhengwei Sun +2
This paper analyzes firm behavior, market dynamics, and policy design in carbon offset and cap-and-trade systems. It examines how policy design influences firm investment in emission reductions and carbon credit trading, aiming to inform ef…
Jiahong Qi, Biying Yu, ZM Xu +15
This paper investigates trade-offs and synergies between educational equity and low-carbon transportation under school enrollment policies. It uses an XGBoost model to identify key determinants of school travel mode choice and a Nested Logi…
Florian Pothin
This paper provides code and derived results for a product-level Trade-LCA framework for embodied carbon accounting in global trade. No datasets are bundled; users must obtain inputs from their respective providers. The framework enables pr…
Wenya Zhang
This paper empirically examines the heterogeneous effects of carbon emissions trading on environmental-economic performance among high-carbon listed firms in China. It provides synthetic data and replication code, documenting data construct…
Umayal Palaniappan (24091869), Neeraj Jain, Nachiappan Subramanian
This study examines how supply chain climate policies (SCCP) affect Scope 3 emissions using panel data from 717 Indian firms (2015-2024). It finds that SCCP significantly reduce total, upstream, and downstream Scope 3 emissions. Moderating …
Wickramarachchi H. S.
This study examines the relationship between ESG reporting quality and financial performance for UK and New Zealand firms using panel data regression. It finds a positive and significant association, with a stronger effect in the UK, highli…
Ivan Savin, Mateo López Carel, Eva Schlindwein
This study applies computational linguistics to 1,477 ESG reports from STOXX Europe 600 companies, identifying 34 topics (six environmental). It finds that topics like sustainable value chains and renewable energy are associated with improv…
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