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 5081–5100 of 27858 papers
Dun Niu, Zi-Mu Xu, Lei Nie +3
This study analyzes carbon emissions (2019-2023) of Anhui Jieshou High-tech Industrial Development Zone using LMDI factor decomposition and LEAP scenario forecasting. Electricity consumption accounts for 84.48% of emissions, with economic g…
Xiulan Han, Xin Zong, Jie Li +2
This study demonstrates that protected areas in China enhance long-term carbon sequestration in forests. It highlights the role of protected areas in climate change mitigation and underscores the importance of forest conservation policies.
Qi Wang, Chenyao Pan, Zeyu Li
Using panel data from 287 Chinese cities, this study employs a difference-in-differences approach to show that the Broadband China policy significantly reduces CO2 emission intensity by 5.01% in pilot cities. The effect operates through pro…
Katarzyna Piwowar‐Sulej, Katarzyna Tracz‐Krupa, Vincent Cassar +1
This study surveyed 883 university students across five European universities to examine how sustainability competencies relate to prosocial behavior. Using SEM, it found that prosocial norms mediate the link, and vertical collectivism atte…
Koroptsenko Ioulia, Emmanouil Α. Varouchakis, George P. Karatzas +11
This report synthesizes insights from Mediterranean demonstration sites, addressing water scarcity, variability, ecosystem pressures, and inefficiencies. Integrated approaches combining monitoring, modeling, and stakeholder engagement impro…
Wen Su, Jiao Jiao
This study develops a relational measure of cultural sustainability disclosure in annual reports of 17 Chinese tourism firms (2021-2025). Using a rule-based classifier on 26,131 narrative units, it finds 43.4% of cultural symbols lack links…
Meryl Amara, Delli Maria
This study examines the impact of sustainability report disclosure and CSR on financial performance (ROA) for 48 Indonesian energy companies. Results show no significant short-term effects, and managerial ownership does not moderate the rel…
Shuyan Yi
This study compares two cement companies under similar state ownership and regulatory environment to examine how sustainable board governance influences ESG performance. It analyzes differences in governance structure, responsibility fulfil…
Fathiyyah Hasanah, Siska Noviaristanti
Using panel data from 30 Indonesian financial firms (2020-2024), this study tests whether digital transformation improves ESG disclosure directly and via resource allocation efficiency (RAE) as a mediator. Contrary to expectations, neither …
Anisa Alpha Salsabila
This study analyzes the impact of ESG disclosure, green investment, and eco-efficiency on firm value for Indonesian IDX ESG Leaders index companies using panel data regression. ESG disclosure positively affects firm value, while green inves…
Arum Ardianingsih, Dhea Nindiawati, Hikma Markhatus Sholekha +2
This study examines how director characteristics (size, narcissism) and audit committee attributes affect ESG disclosure among Indonesian financial firms. Results show director size and narcissism positively influence ESG disclosure, suppor…
Nabeel Al-Qirim, Mohammad Kamrul Hasan, Hussam Al Hamadi +2
This paper evaluates lithium-ion battery recycling pathways using life cycle assessment, focusing on carbon footprint and economic performance. It compares different recycling technologies to identify trade-offs between greenhouse gas emiss…
Manoj D. S, Sankari M, Aruneswar Meera S +1
Greenscan-AICO2R is a framework for evaluating and optimizing website carbon emissions. It performs multi-page crawling, rule-based image classification, and NLP-driven tailored recommendations. Simulations show 30-40% emission reduction vi…
James Quinn, Orlaith O'Sullivan, Keli Huang +2
This study evaluates the carbon footprint of antibiotics prescribed in primary care in Ireland, combining prescription data with emission factors to identify reduction opportunities in healthcare.
Shiju Li, Hongjie Lan, Hanying Jiang +5
This paper proposes a CEEMDAN-SE-Transformer model to improve carbon price forecasting accuracy. Using data from China's Guangdong carbon market (2015-2022) and incorporating factors like oil prices and EU carbon prices, the model outperfor…
Chaojun Zhang, Xingyun Liu, Peiheng Zou +2
This perspective highlights atomic-site engineering in polymeric carbon nitride (CxNy), where nitrogen-rich frameworks stabilize atomically dispersed metal centers, enhancing photocatalytic activity and selectivity. The interplay of coordin…
Sicheng Liu, Yueru Liu, Feixue Luo +7
This study proposes a sequential mechanism combining a manganese modifier and methane CVD to simultaneously improve initial Coulombic efficiency and reversible capacity of hard carbon anodes. At low temperatures, Mn2+ forms coordination bon…
David Andersson, Mikael Eriksson, Matthias Lehner
This study empirically analyzes the relationship between digital lifestyle intensity and consumption-based CO2 emissions using survey and transaction data from about 6,000 Swedish adults. It tests whether digitalization reduces emissions th…
Alyssa LeClaire, Jenny Davis, Molly Bost +1
Comparing constructed marshes of different ages to a natural reference in North Carolina, this study finds vegetation and physical properties converge within ~20 years, but soil carbon and nitrogen stocks remain lower for longer, influenced…
Wen He, Wen Zeng, Yu Zhan +10
This study provides the first global quantification of carbon losses from earthquakes, combining vegetation models and earthquake records. It estimates 38.86 TgC cumulative losses from 2006-2018 events by 2022, with forests requiring at lea…
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