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 1561–1580 of 1766 papers
Deng, Chol, Bior, James Akech, Gatwech, Nyamal
This study quantifies the cradle-to-site embodied carbon of a major road reconstruction program in South Sudan (2021-2026) using process-based LCA. Material production accounts for 78% of total emissions, dominated by cement and steel. Tran…
Linghong Zeng, Yuhang He, Haidong Wang
Using 2005–2022 carbon emission data from Hunan's construction sector, this study applies the emission coefficient method, STIRPAT model with ridge regression, and a CNN-LSTM-Attention deep learning model to analyze driving factors and pred…
David Matajira-Rueda, Charbel Abdallah, Thomas Lauvaux
This study presents a novel scheme (CRO2A) for designing optimal atmospheric greenhouse gas monitoring networks using unsupervised clustering and inverse weighting. Unlike traditional inverse-modeling approaches, it relies solely on direct …
Prawdown Udol, Viganda Varabuntoonvit
This study uses environmentally extended input-output analysis to compare greenhouse gas mitigation pathways and emission factor development in Thailand's economy from 2015 to 2021, providing insights for policy making and corporate supply …
Marie-Odile Payne Fortier, Amir Sharafi, Alyssa Rose Pfadt-Trilling +6
This study provides an updated life cycle GHG emission benchmark for US coal-fired power plants, incorporating mining, transport, combustion, and waste management. Using EPA and EIA data, average emissions are around 1170 g CO2eq/kWh. Non-C…
Amit Kumar Sah, Yao-Ming Hong, Su-Hwa Lin
This paper develops an integrated LEAP-InVEST framework that links energy-system modeling with ecosystem carbon accounting within an MRV-aligned structure. Using a university campus in Taiwan as a case study, it demonstrates consistent esti…
Liang Liu
This paper presents a high-resolution dynamic carbon emission factor estimation system using embedded IoT edge computing networks. It empirically verifies the system with micro-second level data from Chinese regional substations, showing it…
Zikun Zhang, Lianqian Yin, Jinpeng Wen +1
This study uses panel data of Chinese A-share listed firms (2013-2023) to examine the impact of supply chain digitalization (SCD) on corporate carbon emission intensity (CEI). Text analysis shows SCD significantly reduces CEI through three …
Diksha Kumari, Kunj Mehul Doshi, C. Malesios +1
This study investigates the impact of green finance, renewable energy, green innovation, and geopolitical risk on production-based and consumption-based CO2 emissions in India from 1990-2020. Using ARDL modeling, it finds that these factors…
Gilang Surya Pratama, Rilla Gantino
Using panel data from 40 Indonesian mining companies (2018-2024), this study examines how financial performance (ROE) and environmental performance (PROPER rating) affect carbon emission disclosure. Fixed effects models show both significan…
Yuxin Li, Guangzhou Liu, Hongyu Li +4
On the North China Plain, the traditional winter wheat–summer maize system achieves the highest grain yield but also the highest area-scaled carbon emission. The double silage-maize system shows the lowest dry-matter-scaled carbon footprint…
Wanyi Chen, Ying Wang, Hao Ren
This study constructs a multidimensional carbon information disclosure (CID) quality index via text analysis of Chinese A-share listed firms (2007-2021). CID significantly reduces asset mispricing by enhancing corporate reputation and infor…
Bin Lv, Hongyan Gu, Kai Qiu
This study develops a multi-objective optimization model for construction mode configuration and an engineering-oriented genetic algorithm to balance duration, cost, and carbon emissions under feasibility constraints. Using real case data, …
Maaz Amin, Salman Wahab, Bilal Ahmed +3
This paper examines the relationship between trade-adjusted carbon emissions and renewable energy electricity output in N-11 economies using method of moment quantile regression. It accounts for emissions embodied in trade and evaluates the…
Shantanu Kumar, D. Rai
This paper examines how green accounting enhances the reliability of corporate sustainability reporting. It explores the quantification and reporting of environmental impacts like carbon emissions and resource use, and highlights challenges…
Obafemi Olekanma, Liyanage S. Rodrigo, D. Adu +1
This study surveys 256 SMEs in Northeast England to examine the direct effect of carbon footprint reduction initiatives (CFIs) on green job creation (GJC) and the mediating role of green innovation (GI). Results confirm a positive associati…
R. Müller-Polyzou, Ioanna Voudouri, H. Wirtz
This paper examines greenhouse gas emissions from radiotherapy and reduction strategies. Referencing the EU's CSRD and climate disclosure frameworks, it estimates radiotherapy emissions at 6.75 Mt CO2e, mainly indirect. It finds sustainable…
Haoran Leng, Xiaoxiao Zhou, Jie Chen +5
A process-based LCA for a 100MW onshore wind farm in China finds life-cycle GHG intensity of 24.6 g CO2-eq/kWh. Curtailment reduction and improved end-of-life recycling are key mitigation levers. The study also highlights low-carbon procure…
Tianyu Lei, Whale-Obrero Jaime, S. B. Larsen +4
This study develops a digital decision support tool integrating GHG accounting (Scopes 1-4) for industrial wastewater treatment. Applied to Northern Europe's largest plant, it shows that scenarios like carbon refluxing and biogas upgrading …
I. Kalu, Okiri Cyprain N, Enya, Francis Ejeje +3
This study examines the integration of carbon accounting into corporate sustainability strategies for net-zero targets. Survey results show that corporations meaningfully integrate carbon accounting and perceive it as effective in identifyi…
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