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 18241–18260 of 31467 papers
Mahapara Abbass, Sana Abass Wani, Arti Chouksey +1
This study develops lightweight panels reinforced with biochar and simulates their passive thermal regulation performance in smart buildings. It demonstrates the potential of low-carbon building materials to improve energy efficiency.
Ziyi Wen, Xian Zhang, Gaoqi Liang +4
This paper proposes a three-stage low-carbon planning framework for an integrated electricity-hydrogen-transportation system. It uses a cross-sectoral carbon emission flow model to optimize the entire system and evaluate emission reduction …
Junfang Guo, J J Lu, Jie Yang +2
Using panel data of Chinese A-share listed firms from 2009 to 2024, this study finds that ESG performance significantly promotes low-carbon technology innovation, with a stronger effect on substantive innovation than strategic innovation. T…
Dong Zhang, Hao Zhou
This study elucidates the CO2 mineralization curing process and mechanism of a porous low-carbon cementitious material made from steel slag and cement, offering potential for CCUS applications in construction.
Yuping Wu, Yipeng Zhao, Bohui Du +3
This study evaluates the effects of green and low-carbon energy transition using a multidimensional index system and analyzes influencing factors. It provides quantitative assessment and policy implications for energy transition.
Yiming Peng, Minfei Liang, Cise Unluer
This review synthesizes machine learning (ML) applications for low-carbon concrete, covering cement production, mix design, supplementary materials, and recycled aggregate. ML enhances process control and multi-objective optimization but fa…
Yi Ding, Jian Yin
This paper presents a data-driven approach to synergistically optimize urban carbon emissions and energy dynamics, proposing strategies for regional low-carbon transition. It likely applies optimization algorithms to urban energy systems to…
Park Yong Soon, Ryu Byung Taek
This paper reviews microalgae-based carbon capture and utilization (CCU) technology and proposes a reverse-flow photobioreactor (PBR) design. Closed PBR outperforms open ponds in photosynthetic and CO2 fixation efficiency. The reverse-flow …
Wenxuan Cao
Using panel data from 30 Chinese provinces (2004-2023), this paper applies a multi-period difference-in-differences method to assess the impact of carbon emission trading pilot policy on resource and environmental factor utilization efficie…
Małgorzata Jabłońska, Małgorzata Kawełczyk, Fazlida Mohd Razali +2
This case study analyzes ESG reporting by two Polish commercial banks, Bank Millennium and Santander Bank Polska, using their 2024-2025 sustainability reports. It examines their environmental, social, and governance activities, finding that…
Nematullayev Hamidullo, Worldly Knowledge Publishing Centre
This paper examines theoretical and methodological foundations for green accounting and ESG reporting under globalization and climate change. It analyzes economic aspects of implementing green principles in Uzbekistan's real sector, offerin…
Ірина Валеріївна Замула, Anargul Belgibayeva, Віталій Вікторович Травін +3
This study empirically analyzes behavioral, institutional, and technological drivers of ESG reporting quality using PLS-SEM on survey data from 420 Ukrainian enterprises and 12 interviews. It finds that ESG training and digital verification…
Seon Joo Kim, Hyo Jin Park
This study uses text mining to extract Social (S) content from sustainability reports of four Korean port authorities, analyzing disclosure patterns via frequency analysis, N-gram, topic modeling, and network analysis. Results show that dis…
Corey Dawson, Gavin Scott, James Veres +1
This study presents a multi-criteria mapping framework integrating hydraulic modeling, geomorphic classification, and riparian canopy cover to identify suitable in-stream habitat for fish spawning. Tested in Folly River, Nova Scotia, the fr…
Jonas Rieger, Felipe Muñoz, Lars Grönberg +11
This paper applies RollingLDA, a dynamic topic model, to 1,996 news articles to analyze spatio-temporal narratives of socio-environmental conflicts in Chile's energy transition. It identifies twelve topics, revealing the evolution of confli…
Abdul Waheed Muhammad Arif
This paper critiques the temporal ableism in climate governance, arguing that rigid, fast-paced policy frameworks marginalize disabled youth. Using 'crip time' theory, it proposes an Inclusive Climate Governance model with flexible particip…
Alla Polyanska, Dmytro Babets, Yuliya Pazynich
This study investigates determinants of energy consumption behavior in Ukraine's energy transition, focusing on regional and educational factors. Using cluster analysis of 997 survey responses, three behavioral clusters were identified. Res…
Thompson Faraday Ediagbonya, Isaac Olajide Areo, Osahon Imafidon +3
This paper examines urban solid waste management as a climate mitigation strategy, exploring the potential for greenhouse gas reduction and resource recovery. It suggests that innovative waste-to-value approaches contribute to sustainable u…
Richard Endörfer, Fausto Corvino
This paper argues that blended finance (BF), promoted to close the climate finance gap, risks violating core climate justice principles by requiring profitability, which generates unfair financial flows from developing to developed countrie…
Mira Kopp, Simon Montfort, Géraldine Pflieger +10
This study categorizes 1263 European cities into four types (shrinking, growing, established, metropolises) and analyzes their climate action needs and capacities. It identifies sectoral hotspots: building and transport emissions reduction …
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