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 1–20 of 10879 papers
Didin Purniawan
This study examines the effect of Shariah accounting (ISR, CSR, productive zakat/waqf) and sustainable finance (green financing, green sukuk, green project financing) on financial performance of Islamic banks in Indonesia using PLS-SEM. Fin…
A. Bykov
This paper identifies key directions for ESG integration in the banking sector, including green and transition finance, ESG lending, borrower ESG scoring, sustainability disclosure, and digitalized monitoring. It highlights limitations such…
Teng Yi, H P Zhu
This study uses a gate-to-gate LCA to evaluate co-processing of papermaking waste and blast furnace slag into alkali-activated mortar. It finds that high-volume waste substitution achieves net-negative global warming potential (-7.9 kg CO2 …
Di Zhang, VanKing Li, Y Li +3
This study uses electricity big data to optimize energy structure and assess carbon emissions via a multi-objective optimization model combining GA and PSO. Case studies show significant carbon emission reductions while improving power supp…
Jingke Hong, Yuehua Chen, Yi Wen +1
Using panel data from 215 countries (2004–2022), this study finds that climate risks significantly damage renewable energy infrastructure (REI), with disaster frequency and institutional resilience having mitigating effects. Economic resili…
Jianhui Cong, Rui Li, Weiqiang Zhang
This study uses an MRIO and multi-objective optimization model to simulate how China's carbon peak constrained energy transition reshapes formal labor demand. Results show aggregate employment gains but a 'winner takes all' pattern: coastal…
Zijia Wang, Ming Li, Linmu Zou +2
This study quantifies carbon emissions from multimodal passenger transport in the context of urban subcenter development, using evidence from Chinese cities. It provides empirical data on emissions reduction potential from urban planning in…
Chengjie Li, Bin Yu, Chan HA +8
This review comprehensively analyzes synergistic development of alternative fuels and propulsion for carbon-neutral aviation. It compares lithium batteries, SAF, hydrogen fuel cells, hydrogen turbines, and hydrogen carriers, highlighting hy…
Yuye Shen, Yunying Fang, Tony Vancov +7
This study demonstrates through a case study in Hangzhou, China, that urbanization increases carbon storage by enhancing the stability of surface soil organic carbon in urban parks. Improving soil carbon storage in parks is important for cl…
Abrar Saeed Bagalb, Nizar Harrathi, Md Fouad Bin Amin
This study examines the relationship between sustainable development and CO2 emissions in GCC countries using panel ARDL-PMG. It finds that sustainable development reduces emissions in the long run but increases them in the short run, a U-s…
Changyi Weng, Zhenghua Shu, Jueying Qian +2
As China's ETS expands, reliable emission data becomes critical. This study proposes a hybrid anomaly detection framework using the ratio of material-based to flue gas-based emissions, combining Hartigan's dip test and Random Forest. Evalua…
emilywang0525-ui
This release archives custom machine learning code for provincial railway-operation carbon-footprint accounting and projection in China. It uses ensemble model screening, SSP-based future projection, baseline harmonization, and uncertainty …
Rui Liu, Chaoyong Qin
This paper proposes a scale-aware dynamic fusion method that integrates textual and numerical information to improve carbon price forecasting in Chinese emissions trading markets. The method accounts for different data scales and demonstrat…
(著者不明)
This study proposes an integrated approach combining satellite-ground observations, machine learning, and ecological process modeling to improve forest carbon sink accounting. The method enhances the accuracy of carbon budget estimates, sup…
Amitava Chatterjee
This global study analyzes the relationship between soil microbial biomass carbon (MBC) and soil organic carbon (SOC) across biomes, finding a sublinear scaling. The findings improve predictions of soil carbon storage under climate change.
Dana Chabová, Emília Palkechová, Nina Majerovičová +1
This paper critically examines ESG frameworks in Latin America and the Caribbean, arguing that despite rapid growth in sustainable finance, persistent poverty, inequality, and climate vulnerability remain. It proposes that ESG should serve …
Nouran Nabil Abdelsalam Mahmoud Ellelly, Laila Aladwey, Abdelmoneim Bahyeldin Mohamed Metwally
This study examines the relationship between tax avoidance and cost of debt for non-financial firms in an emerging market, finding a positive association moderated by ESG disclosure. Higher ESG disclosure weakens the positive effect, implyi…
Zheng Wei, Zhichen Long, Weijian Yuan +4
This meta-analysis of rice-animal co-culture (e.g., rice-fish, rice-duck) in Chinese paddy fields demonstrates synergistic enhancement of soil carbon and nitrogen sequestration while reducing greenhouse gas intensity. The findings support s…
Solmaz Bidast, Amir Mohseni, Bhabananda Biswas +3
This paper explores the potential of clay- and zeolite-based materials to mitigate greenhouse gas emissions in agricultural systems, particularly N2O and CH4. These materials improve soil properties and nutrient retention, reducing emission…
Simon Osiregbemhe Ilogho, Heinz Eckart Klingelhöfer
This study examines the impact of financial inclusion on greenhouse gas emissions in SADC countries using two-stage least squares and quantile regression. The results suggest heterogeneous effects, with potential emission reductions in lowe…
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