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 381–400 of 622 papers
Aslam Jumain, Nano Prawoto, Agus Tri Basuki
This study evaluates low-carbon development (LCD) in North Konawe, Indonesia, using carbon stock mapping and SWOT/PESTLE analyses. Total carbon stock increased 13% from 2019 to 2024, but mangroves declined 80%, causing a loss of 236,000 ton…
C. O’Ceallaigh
This research investigates how mass timber can be integrated into buildings and infrastructure to reduce whole-life carbon emissions and store carbon long-term. Using lab testing, life cycle assessment, and case studies, it demonstrates tha…
Marianus Irfan Takang Peri, Yudi Chadirin, Wonny Ahmad Ridwan
This study examines carbon stock changes in South Tangerang City from 2016-2025 using remote sensing, CA-Markov, and InVEST models. Carbon stocks declined by 9.6% (90,028 tC), with forests holding 67.1% of total carbon. Strong correlations …
Vourdoubas John
This study estimates life-cycle carbon emissions from winemaking in Crete, Greece, finding low emissions. It proposes using agrivoltaics and vine residues as solid fuel, along with other renewable energy technologies, to further reduce or e…
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…
Fateh Saci
This paper investigates how green accounting serves as a strategic and financial tool for measuring environmental externalities, guiding budgets, enhancing reputation, and influencing valuation. Based on a literature review and twelve inter…
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…
Cristina Jareño-Escudero, Eva Lucas-Segarra, Joan Romero-Clausell +2
This study compares five industrialised retrofit kits and five conventional renovation scenarios for a public housing stock in Spain, assessing trade-offs between operational and embodied carbon. It uses carbon payback and cumulative emissi…
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…
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