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 1241–1260 of 1617 papers
Rodrigo Gil, Sara Martínez, Jose Traub +2
This study provides the first multi-country assessment of carbon footprint disclosure quality in Latin America, analyzing 103 company reports from five countries using the Carbon Integrity Index. While 83.5% disclose some value-chain emissi…
N. Giridharan, Dhayanithi V, S. S +1
This paper presents an AI-based platform that integrates diverse organizational data (energy, commuting, supply chain) to automate carbon footprint measurement and ESG reporting. Using AI for validation and estimation, it achieves higher re…
Son Nguyen
This paper critiques existing governance models in Southeast Asian semiconductor clusters for prioritizing competitiveness over climate objectives. It proposes three innovations—Cluster Climate Compacts, Climate-Aligned PPPs, and Polycentri…
(著者不明)
This paper provides policymakers with a blueprint for integrating OGMP 2.0-aligned methane reporting into regulatory MRV frameworks. It leverages the UNEP IMEO's leading MRV standard for the oil and gas industry, offering step-by-step guida…
Briyan Gifari, Nabiel Muhammad Al Ghazali, Abdullah Fajar
This study applies advanced analytics to evaluate suppliers for Indonesia's Free Nutritious Meal Program (MBG) based on Triple Bottom Line. Using a weighted scoring model with logistics efficiency (40%), environmental impact (30%), and volu…
Pilar Acosta, M. Knudsen
This study examines how 25 global firms engage suppliers to reduce Scope 3 emissions, identifying five mechanisms: codes of conduct, financial instruments, digital platforms, supplier training, and co-innovation. It assesses implementation …
Ranran Zhang
This paper systematically examines methodological challenges in empirically pricing corporate carbon risk under China's dual carbon goals (2030 peak, 2060 neutrality). It identifies three core issues: poor data reliability (e.g., omitted Sc…
V. Namoniuk, A.I. Maliuha
This conceptual paper identifies a theoretical gap in transaction cost economics regarding environmental constraints. It introduces 'ecological asset specificity' as a governance variable and argues that modular governance in global value c…
Liurui Deng, Lingling Jiang, S. Gan
This study analyzes the impact of ESCO financing modes (bank, green bond, internal factoring) on supply chain emission reduction efficiency and economic benefits under carbon quota trading and EPC. Using a multi-agent Stackelberg game model…
Rashanjot Kaur, Triparna Kundu, Bhanu Sharma +2
This paper examines operational resilience of global supply chains under carbon constraints. It develops a multi-agent framework integrating supply chain decisions, national energy-transition profiles, and carbon-aware AI computation. The C…
Emmanuel Ohimai Ojo, Prince Michael Akwabeng, Gloria Opoku Darkoh +1
This systematic review examines AI applications in carbon emission monitoring and green investment decisions, analyzing 55 studies from 2021-2025. It finds that machine learning, deep learning, and hybrid algorithms significantly improve em…
Muhammad Ikram
This study proposes the Net Zero Circular Value Chain Model (NZCVCM), integrating circular economy (CE) with net-zero carbon goals. Based on the 10R classification, it identifies opportunities to reduce greenhouse gas emissions in each reso…
Cristina Angelico, Enrico Bernardini
This paper finds significant limitations in emissions data for euro area banks from four providers: gaps, inconsistencies, and high volatility in scope 3 emissions. It tests three GenAI tools and finds that GenAI-based data correlates with …
Bhimalinga Reddy Bangaru
ERP has evolved into sustainability intelligence software for monitoring environmental performance, enabling real-time carbon footprint tracking in medical device supply chains. It offers Scope 1/2/3 emissions management, with AI improving …
J. Retegi, B. Kamp, J. Igartua
Using Spain as a case, this study applies Environmentally Extended Input-Output Tables and Production Layer Decomposition to quantify Scope 1-2-3 emissions across industrial value chains. It finds that indirect emissions dominate, and that …
Indrajit Sen
This paper introduces a carbon-aware supplier selection framework that optimizes the trade-off between cost, risk, and Scope 3 emissions using multi-objective optimization. It demonstrates how organizations can incorporate regulatory carbon…
Janna Axenbeck, S. Kunkel, Joris Blain +1
This study reveals that global emissions from digital technologies between 2010 and 2021 were largely obscured in greenhouse gas emission accounting standards. It highlights the inadequacy of current carbon accounting frameworks in capturin…
No Ol Lim, Hyojin Cho, Song T. Lim +1
This study provides the first multi-scope regional assessment of carbon flows in South Korea, integrating Scope 1-3 emissions. It reveals stark asymmetries: industrial provinces face high direct exposure, while metropolitan regions have hig…
Ashraful Alam, Hafiz Usman Ghani, T. Räty +1
This study comprehensively assesses the life cycle GHG emissions of Finland's forest sector for 2023 using a Scope 1, 2, and 3 framework. Total emissions are approximately 8.35 Mt CO2e, with Scope 3 contributing 68%, primarily from organic …
Bo Liu, Kaixin Ma, Mingliang Liu +1
This study traces carbon emissions across the entire supply chain of China's construction industry, from upstream suppliers to final demand. Using input-output analysis, it identifies key emission sources and provides insights for decarboni…
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