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 7601–7620 of 33441 papers
Chae-Yeon Kang
This study proposes an energy-efficient low-temperature alkaline thermal graphitization method for biomass-derived lignin, reducing energy consumption in producing porous graphitic carbon. This enhances sustainability and decarbonization of…
Ruosong Hou, Wei Guo, Ziheng Zhao +2
This study proposes a data-model hybrid method for multi-timescale low-carbon economic dispatch of manufacturing-park virtual power plants. It integrates empirical uncertainty scenarios with a production-constrained stochastic program, achi…
Roy Adikaram
This paper empirically examines how green governance influences the nexus between climate finance and low-carbon development, focusing on the mediating role of renewable energy. It tests the pathway through which climate finance promotes lo…
Turgay Battal
This repository provides code, trained model weights, and calculation workbook to reproduce the results of a paper in Transportation Research Part D (TRD-D-26-01334). It applies distributional reinforcement learning to robust low-carbon shi…
Thuy Bui Minh
This dataset supports a multidimensional assessment of energy security during Vietnam's transition to a low-carbon energy system (2000-2023). It uses an indicator-based framework to quantify various aspects of energy security and analyze th…
Suliman Khan, Safat Al-Deen, Chi King Lee
This paper presents an experimental dataset of ultra low-carbon concrete designed for performance prediction and machine learning applications. It supports decarbonization in construction by enabling efficient material design and CO2 reduct…
Suliman Khan, Safat Al-Deen, Chi King Lee
This paper provides an experimental dataset of ultra low-carbon concrete for performance prediction and machine learning applications. The dataset supports decarbonization in the construction sector, enabling performance evaluation and opti…
Heyi Shen, Aijun Yi
This study explores the impact mechanism of low-carbon lifestyle transition in livable cities and towns on residents' emotional regulation ability and mental well-being. It aims to reveal the psychological effects of transitioning to a low-…
Junjun Liu, Lifang Gao, Ning Li
This paper experimentally examines the effect of symbolic awards on low-carbon supply chain management. It likely explores how non-monetary incentives influence corporate environmental behavior, though specific findings are unavailable due …
Khan Tashdid Hasan
This paper examines decarbonization of Bangladesh's cement industry through CCUS, waste heat recovery, and low-carbon energy sources. It assesses emission reduction potential and implementation feasibility of integrating these technologies …
Chunlei Xie, Xueli Yang, Changlin Yang +1
This paper examines household carbon emission intensity in low-fertility contexts, suggesting that households with fewer children may have higher per-capita emission intensity. It highlights the impact of demographic changes on carbon emiss…
Roy Adikaram
This paper examines how digital innovation and renewable energy-extended data contribute to carbon neutrality within green buildings and climate finance. It suggests a link between renewable energy adoption and digital technologies in the c…
Roy Adikaram
This paper examines the relationship between green buildings and climate finance, focusing on the roles of digital innovation and renewable energy in achieving carbon neutrality. It discusses the interplay of investment and technology.
Zichen Li, 白兆海, Xiaoyang Shan +3
Using LCA and scenario analysis, this study quantifies Hainan Island's food system emissions from 1952-2020, showing a shift from carbon sink to source. It finds that combining technological optimization with a structural shift toward regio…
Aaron Omar Colina-Calvo, Hugo Vargas
This study analyzes Peru's transition to carbon neutrality, highlighting LULUCF as the largest emission source. It evaluates mitigation pathways including renewable energy expansion, transport electrification, and energy efficiency. Achievi…
Yuan Gao, Tao Zhao, Tian Qi +2
This paper examines the impact of China's carbon emissions trading (ETS) pilot policy on 'green poverty reduction' using a quasi-natural experiment. It analyzes whether ETS contributes to both environmental improvement and poverty alleviati…
Shuangyang Zhai, Zishan Zhang, Haoyu Hou +2
This study examines whether China's carbon emissions trading (CET) pilot policy affects auditor industry specialization using a staggered difference-in-differences design on A-share firms from 2010 to 2022. Results show that CET exposure in…
Dr Subhadra P S, Dr. Vijayakumar. N, C. Vilvijayan +3
The transition to a low-carbon economy requires trillions in capital reallocation, yet private flows face informational, regulatory, and behavioral frictions. This study tests a structural model of sustainable investment decisions, finding …
Inguna Lazdina, Inguna Lazdina
This study develops a conceptual framework linking ESG and financial risk transmission in circular economy value chains. Through comparative analysis of CSRD, ESRS, SFDR, and EU Taxonomy, it identifies regulatory, operational, reputational,…
D. P. M. S. M. Peiris, H.D.I. Silva
This paper critically reviews the relationship between ESG reporting and access to finance in South Asian businesses, proposing a conceptual model that incorporates institutional, economic, and socio-cultural factors. It finds that ESG repo…
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