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 5161–5180 of 24751 papers
Bisht A.S.
This paper analyzes decarbonization pathways for the Indian power sector, comparing net-zero targets of 2050 and 2070. It examines feasibility and costs of policy options including renewable energy deployment and coal phase-out.
Yury Erofeev, Stefan Majer, D. Thrän
This paper compares aviation GHG methodologies for ESRS compliance, from simple factor tools to lifecycle-inclusive approaches. Using controlled computations for standard flight profiles and a multi-criteria analysis (boundary clarity, non-…
Augustine Okeke, Ifeanyi Ugbebor
This study introduces the SDG-Purpose Alignment Index (SPAI), a computational construct quantifying how CEO letters align thematically, tonally, and stylistically with specific SDG targets. Analyzing 740 CEO letters from 148 listed firms ac…
A. Hashemi, E. Faghani, Thomas Roitsch
This meta-analysis of 28 studies examines priming-induced drought memory in rapeseed and cotton. Both crops show improved drought tolerance via different mechanisms: rapeseed enhances antioxidant defenses, while cotton sustains water status…
J. Ganta
This review focuses on materials and printing processes for 3D-printed fiber reinforced concrete (3DFRC) from a sustainability perspective. Extrusion-based printing is dominant, and the use of various fibers (steel, carbon, basalt) and supp…
Jherson Henry Castañeda Ravichagua, Dammer Felipe Trigoso Ruiz, Frey Franco Sánchez Marcos +1
This systematic review analyzes evidence on carbon footprint reduction strategies in civil engineering. LCA is the primary measurement methodology, complemented by BIM, Digital Twin, and Machine Learning. Mitigation strategies include low-c…
Fauzi, S. Aulia, Rahmi
This study examines the effect of CSR disclosure on corporate financing constraints and the moderating role of financial transparency in the digital transformation context. Using panel data from Indonesian manufacturing firms, the results s…
Iqra Mubeen, Samina Rauf
This paper investigates whether ESG sentiment generated by LLMs can predict portfolio risk. It finds that positive ESG sentiment correlates with lower volatility and downside risk, while negative sentiment increases risk exposure. LLMs outp…
Chirmala Wisnu Permata Affardi, Robiatus Salamah, Mohammad Aviciena Taufiqurrahman +2
This qualitative case study of a coal-fired power plant in Indonesia examines how green innovation moderates the relationship between environmental pressure and financial performance. Investments in pollution control, biomass co-firing, and…
Ritesh G Upadhyay, Urmila Vivek Chauhan
This review discusses hybrid separation processes combining membrane, adsorption, extraction, and distillation technologies to improve energy efficiency and process intensification in chemical engineering. It covers industrial cases from pe…
Qingrun Li, Meijie Jia, Liang Zhu +6
This review systematically summarizes the structure, synthesis, and gas separation performance of zeolite membranes, focusing on applications in carbon capture and hydrogen separation. It identifies current bottlenecks and provides perspect…
Panpan Yao, Hairong Jiang, Tian Wang +2
This study evaluates pollution and carbon reduction pathways for a thermal power plant in northern China using LEAP and SWOT models. Results show clean energy capacity exceeding 80% by 2030 and near-zero CO2 emissions by 2060 under a compre…
Juan Camilo Rincón Aguilar, Sergio Raúl Rivera Rodríguez
This paper presents a methodology for finding scalable implementation paths for distributed green hydrogen systems in urban residential communities. It applies multi-objective optimization using MOPSO, AGEII, and FDV methods and compares th…
Qinwen Deng
This paper examines how multi-level governance can address carbon lock-in in resource-depleted cities. It employs configurational pathways (likely QCA) to identify conditions for just transitions. The findings contribute to understanding po…
Phil M. Henry, Marjan Vazirian, S. Westland
This paper evaluates digital-color and data-driven design workflows in textile printing for fashion, based on a collaboration between Burberry and University of Leeds. It examines how color accuracy impacts digital transformation and sustai…
Youxia Tong, Samuel Duku Yeboah, Michael Provide Fumey
This study uses 1996-2023 data from G7 economies to examine whether institutional quality protects against energy-related risks and promotes renewable energy adoption. Using quantile-on-quantile regression, it finds heterogeneous effects: J…
Kailun Feng, Shuo Wang, Santhan Reddy Penaka +2
This empirical study uses deep uncertainty analysis to characterize regional climate for building stock transition in a Nordic context. It provides insights for integrating energy efficiency and climate adaptation in building retrofits.
Jiayu Shen, Lian Shi, Kai Zhu
This study addresses the coordination problem of a coal-power supply chain under stochastic carbon price fluctuations. It proposes a hybrid contract with risk-sharing mechanisms to optimize the entire supply chain and manage risks under car…
Yinlu Zhang, Hui Yang, Tong Zhang, Yuanjin Zhang, Chuang Zhu
This paper proposes a blockchain-based carbon accounting framework integrating Life Cycle Assessment and multi-agent simulation to track carbon emissions across the entire lifecycle of integrated energy systems (electricity, heating, gas, c…
Jiaxiang Wang, T X Chen
This study uses MGWR-SHAP analysis to evaluate the scale-dependent and non-linear effects of land-cover configuration on carbon performance in Tianjin, China. It reveals that different land cover types have varying impacts at different spat…
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