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 12881–12900 of 29968 papers
Rafika Sari, Muhammad Safdar, Eklamsia Sakti
This study investigates the impact of ESG disclosure on sustainable financial performance (SFP) and the moderating role of corporate reputation. Using logistic regression on 210 firms from an emerging market, it finds that ESG disclosure ha…
M. Khabbazan
Using a CGE model for Ireland, this paper analyzes the impacts of trade policy, AI-driven productivity gains, and carbon pricing. AI boosts output in knowledge-intensive sectors but induces labor reallocation. Carbon pricing curbs rising en…
Yue Tian, Xinping Miao, Wenke Li +2
This study proposes an innovative model integrating blockchain and Stackelberg game theory for peer-to-peer electricity trading in microgrids, incorporating renewable energy subsidies and carbon emission reduction. The model uses the NSGA-I…
Lukas Büeck, L. Ritter
This review analyzes why carbon information remains unused in procurement and proposes an organisational and data-governance model to close the gap. Key factors include data ownership, harmonised calculation and verification standards, cros…
Rasmeet Singh, Gabi Burge, Muhammad Haider Ali Khan +4
This paper presents OpenCu, an open-source Python framework for evaluating renewable energy integration in copper value chains from mine to export. It links process mass and energy balances with levelized costs, Scope 1-2 emissions, and pol…
Yantong Zhao, Gaoxiu Qiao
This paper introduces a heterogeneous ensemble framework for European carbon price forecasting, integrating LASSO for variable selection, MEMD-ARIMAX-mLSTM for temporal dynamics, and GWnet-attn for spatial dependencies. Empirical results sh…
Temidayo Alex‐Oke, Olusola Bamisile, Joseph Junior Nkou Nkou +3
This study develops a comparative framework using SARIMAX, Random Forest, Transformer Encoder, and Attention-Gated GRU to forecast CO2 emissions for 16 West African countries. Attention-based models achieve the best performance (MAPE 6.14%-…
Jaymol Mary Joseph, Shikha Bhatia
This systematic review uses the SPAR-4-SLR protocol to analyze greenwashing in corporate disclosures. It integrates bibliometric analysis with AADO and TCM frameworks to develop an integrated framework of actors, antecedents, decisions, and…
Kelvin Rafel Tuisan, Heince R.N Wokas, Christian Datu
This study analyzes the impact of sustainability reporting and capital structure (DER) on profitability (ROI) of property and real estate companies listed on the Indonesia Stock Exchange (2021-2024). Findings show that sustainability report…
Aditya Narayan, Arghya Chakraborty, Santosh Kumar Mishra +1
This paper proposes a framework-guided approach using ClimateBERT and Sentence Transformer embeddings to assess corporate climate disclosure quality, defining a Climate Disclosure Quality Index (CDQI). It provides a dataset for automated sc…
Arya Ganendra, Grace Freya Purba, Firzan Dahlan
This study analyzes ESG disclosure decoupling under Indonesia's POJK 51/2017 and ASEAN-5 regimes. Through content analysis of 50 large firms' sustainability reports, it finds a significant gap (mean +0.235) between symbolic commitment (0.97…
R. Bongiovanni, Leticia Tuninetti, Sergio Romagnoli +1
This study quantifies global variability in urea production carbon footprint, showing that technology type explains 92.8% of emission variance (coal: 2,735 kg CO₂-eq/t to green: 334 kg CO₂-eq/t). Primary data from an Argentine plant defines…
Shuaixiang Zhao, Susanne Schmidt, Yunting Fang +4
This study shows that soil texture governs mineral-associated organic carbon accumulation, while temperature drives contrasting particulate carbon responses in maize and rice croplands, contributing to understanding agricultural carbon sequ…
Abdulazeez T. Lawal
This review critically examines recent advances in carbon nanotube (CNT)-polymer nanocomposites, covering synthesis, functionalization, processing methods, and applications. Strategies to improve CNT dispersion and interfacial interactions …
P. Chen, Ying Wei, Yong-Su Jin +1
This review covers recent advances in metabolic engineering for biological conversion of CO2 into renewable carbon sources. It highlights the interaction between CO2 fixation pathways and central metabolism, and discusses diverting carbon f…
Aynur İNCEKIRIK
This study analyzes the price dynamics of blockchain-based carbon credit tokens (BCT, MCO2, KLIMA) using deep learning methods (LSTM, GRU, transfer learning) with daily data from Oct 2021 to Nov 2025. Findings show strong internal correlati…
Dan Xu, Xiaoyan Liu, Changbin Cui
This paper analyzes how green credit availability affects high-carbon firms' strategic investment in green innovation. It elucidates the mechanisms through which credit access promotes corporate decarbonization investment, offering implicat…
Rania Badawy Shokry
This paper examines sustainable urban regeneration through nature-based solutions, focusing on neglected open spaces in New Cairo. It explores how nature-based interventions can revitalize these areas, enhance ecosystem services, and improv…
Diana Dushkova, Maria Ignatieva, Elvira Dovletyarova
This paper investigates the gap between policy-oriented NBS discourse and its translation into design practice. It proposes a multi-scale, co-creative framework integrating governance and landscape architecture, based on comparative analysi…
Hasimin KEÇI, Majlinda Alcani, Altin Dorri
This paper assesses the potential of carbon capture, utilization, and storage (CCUS) for industrial decarbonization. It analyzes technical and economic challenges and opportunities, providing insights for policy and investment.
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