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 681–700 of 4226 papers
Chen, Yang
This dataset provides code, processed data, and figures for a study demonstrating the reversal of China's export function from a pollution haven to a decarbonisation supplier. It analyzes changes in carbon and pollution emissions embodied i…
Francesco Ghionda, Diego Viesi, Edoardo Gino Macchi +3
This study proposes a data-driven optimization framework using PyPSA to evaluate refinery energy systems, integrating operational flexibility and decarbonization technologies. The model achieves up to 7.2% annual emissions reduction (around…
Wang F.
This paper focuses on safety risk assessment of a large-scale CCUS demonstration project in Dongying, China. CCUS is a key decarbonization technology, and its safe implementation is crucial for industrial deployment. The risk assessment con…
Wang S.
This paper examines the nexus between ESG performance, disclosure, and green bond issuance among China-listed companies. It empirically investigates how ESG disclosure influences green bond issuance and their interplay, highlighting the lin…
Zou J.
This paper evaluates the impact of global wetland rewetting on greenhouse gas emissions, demonstrating its effectiveness as a climate mitigation strategy. It highlights the potential of wetland restoration to reduce methane and CO2 emission…
Amirgholy M.
This paper provides a predictive analysis of greenhouse gas (GHG) emissions from electric vehicle (EV) charging in the United States. It considers grid emission factors and charging patterns to quantitatively assess the emission reduction p…
O. Mawahib, W. Wibowo
Using panel data from ASEAN electric utilities (2015-2024), this study finds that green finance (loans and bonds) significantly reduces emission intensity, but high leverage weakens this effect while strong investment returns enhance it. ES…
Ayuba John Buba, Isaac John Ibanga
This scoping review (2020-2025) examines maritime decarbonization as a socio-technical transition, analyzing alternative fuels, energy efficiency, electrification, and digital optimization. It highlights trade-offs between technological mat…
Yuyao Jia, Shir Reen Chia, Zhibao Huo +4
This paper systematically reviews the technological advancements, regulatory landscape, and implementation barriers of fourth-generation biofuels, assessing their role in the energy transition. It highlights challenges and policy directions…
Avuzwa Lerotholi, Ibidun Christiana Obagbuwa, Olaperi Okuboyejo
This paper proposes a machine learning and explainable AI (XAI) approach to predict ESG risk scores, enhancing transparency in ESG assessments. It enables investors and companies to understand the drivers of ESG ratings. Originating from So…
Marshall Wellington Blay, James Tuffour, Bismark Ackah
Using a balanced panel of 139 countries (2011-2023), this study examines how financial sector governance influences the adoption of sustainability reporting standards. Fixed-effects, dynamic panel, and IV regressions reveal a significant po…
Elena Fleacă, A. Marcinkowski, Zdeňka Konečná +3
This paper proposes a conceptual framework integrating knowledge management (KM) processes with Hofstede's cultural dimensions (power distance, uncertainty avoidance) to explain variations in ESG disclosure practices. Using a SIPOC-based pe…
Konstantin Völker, Reiner Quick
Using 2,142 firm-year observations from European companies (2013-2022), this study analyzes determinants of voluntary sustainability assurance (SA) through a three-pillar governance framework. Sustainability strategy is the primary driver, …
Shouchen Shi, Zuhang Zhang, Wenji Zhou +2
This study uses a sector-coupled energy system model to analyze carbon footprint reduction in China's steel industry. It quantifies the effects of regionally differentiated hydrogen strategies, revealing how hydrogen supply methods and cost…
Ravikumar Jayabal, Ruby Mishra, Savitha Radha Krishna Setty +6
This review comprehensively assesses integrated Carbon Capture and Utilization (CCU) technologies for the power sector, comparing capture routes (pre/post-combustion, oxy-fuel, chemical looping, DAC) on efficiency, energy demand, and econom…
Xinyue Tu
This paper analyzes multi-technology coupling forms (integrated capture-conversion, cross-industry coupling, negative emission collaboration, renewable integration) and cooperative emission reduction types (source-sink matching, parameter c…
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…
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…
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…
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