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 361–380 of 12653 papers
R. S P.
This paper proposes CarbonChain, a decentralized carbon emission monitoring system combining IoT sensing and blockchain verification. Sensor data is validated and stored on blockchain via smart contracts, ensuring tamper-resistance and tran…
Y. Alzoubi, A. Topcu, E. Elbasi
This study provides the first systematic evaluation of privacy risks in carbon footprint tools across five categories: individual calculators, corporate platforms, infrastructure tools, IoT/AI/blockchain systems, and research tools. A novel…
Furkan Yilgan, Duygu Biyikli, M. Sanità +4
This study quantifies vegetation loss and trace gas emissions from the July 2025 Çeşme wildfire using Sentinel-2 and Sentinel-5P satellite data. It assesses post-fire vegetation decline via NDVI and estimates emissions of CO and NO2, highli…
Yingmei Jiang, Jinjin Mou, Xin Yang +1
This paper models a two-echelon fresh e-commerce supply chain (supplier-platform) with blockchain technology (BT) for multi-dimensional disclosure of quality, low-carbon, and environmental attributes. Under decentralized/integrated decision…
明辉 李
This study proposes a digital twin-driven framework for real-time perception and dynamic optimization of carbon footprints in universities, integrating IoT and energy management systems. It develops a reinforcement learning-based optimizati…
Jun-Hye Baek, Jae Min Lee, Dong‐Seong Kim
This paper proposes a trust framework for certifying individual carbon reduction activities using AI and blockchain. It integrates automated image analysis to validate eco-friendly actions and stores verification results on a blockchain for…
Jasmine Selvakumari Jeya Israel, Aldrin Joan Pandian William, Pradeep Kumar Mishra +1
This study proposes a Bi-LSTM-based approach to optimize emission forecasting, carbon offset allocation, and green fund utilization for steel, cement, and aluminum industries. Bi-LSTM demonstrates superior performance in long-term predictio…
R. Thendral, M. Abinanthida
CarbonSense360 integrates AI and blockchain for end-to-end carbon footprint monitoring, using OCR/NLP for automated data capture, AI for emission forecasting and personalized recommendations, and blockchain for tamper-proof validation. Gami…
Guanqiuyue Chen, Edmund Loi, Ka Ip Chan
This study examines the impact of China's carbon emission trading pilot policy on corporate digital transformation using a multi-period DID approach. Analyzing data from 2009-2020, the authors find that market-based environmental regulation…
Bo Liu, Yi Ding, Haoying Guo
This paper analyzes a manufacturer's optimal choice between direct carbon reduction investment (R strategy) and carbon offset (O strategy) under demand uncertainty and information asymmetry using a game-theoretic model. It shows that the R …
Yong Xu, Donglei Tao, Yen-Jou Chen +3
PCBS is a framework enabling privacy-preserving carbon trading in AI-empowered IoT environments. By combining blockchain and secure multi-party computation, it achieves confidentiality of emission data while maintaining transaction transpar…
M. Aulia Rachman, Shanty Oktvilia, Dwi Rahmayani
This study examines the effect of financial inclusion on carbon emissions in ASEAN-6 countries using panel data from 2013-2019. It finds that the usability aspect of financial inclusion (domestic credit) positively correlates with emissions…
Sezai Tunca, Zinnet Karakaş Kelten, Yavuz Selim Balcıoğlu
This paper proposes a framework leveraging blockchain-enabled transparency and business analytics to optimize carbon footprint reduction in supply chains for high-emission industries. It provides methods for visualizing emissions across the…
Shamsun Nahar, Florina Rahman, Mahrima Akter Mim
This paper presents an AI-integrated platform combining renewable energy and data analytics for corporate ESG compliance. It uses AI/ML for energy demand forecasting, carbon emission estimation, and automated ESG reporting aligned with inte…
Nikolai Drahos
Despite repeated failures, the US adopted a federal methane fee in the Inflation Reduction Act of 2022. Based on insider interviews, this study identifies four enabling conditions for political feasibility: industry division, effective idea…
Han Song, Junru Ye, Na Zhou +1
This paper analyzes collaborative supply chain management decision-making considering CCUS technology under carbon trading mechanisms. It models the impact of CCUS adoption on supply chain costs and emissions, deriving optimal decisions.
Younes Gholizadeh
This paper proposes a low-energy blockchain approach using Proof of Elapsed Time (PoET) for carbon footprint tracking in EU countries. It compares traditional and blockchain-based approaches, demonstrating PoET's potential to optimize emiss…
Robert Jao, Paulus Tangke, Anthony Holly +2
This study examines the influence of ownership structure on firm value through the mediating role of corporate social responsibility disclosure (CSRD) in Indonesian manufacturing firms. Institutional ownership positively affects CSRD, while…
C. Rao, Praveen Kumar Naidu Rayanki, Polepalli Rajeev Meenon +2
This paper proposes a privacy-preserving cross-chain federated blockchain-IoT framework for carbon credit management, integrating RFID-based emission data collection, IBC interoperability, and DP-FL for fraud detection and price prediction.…
Hanjin Li, Yang Li
This study empirically examines the relationship between green finance and environmental information disclosure in heavily polluted industries. It suggests that improved disclosure can facilitate access to green financing.
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