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 601–620 of 1041 papers
Min-Yuan Cheng, Akhmad F. K. Khitam, Quoc-Tuan Vu +1
This study develops an evolutionary deep learning model (ASOS-NN-BiGRU) to optimize cost, strength, and carbon emissions in high-performance concrete (HPC) mixture designs. Integrating carbon pricing mechanisms, it enables multi-objective o…
Kim-Ngan Vu, Mai-Phuong Nguyen, Ha-My Le Do
This paper examines legal challenges to the EU's Carbon Border Adjustment Mechanism (CBAM) and analyzes the lawful design of border carbon adjustments consistent with WTO rules. It explores implications for Asia-Pacific trade, highlighting …
Kaan Öğüt, Çağlar Yurtseven
This paper presents a dynamic model to assess the impact of carbon taxes on firm emissions and the speed of transition to renewable energy. Using a CES-Cobb-Douglas mixed production function, it captures substitutability and complementarity…
Lei Chen, Ling Feng, Weiping Wu +2
This paper proposes a transfer learning method for valuing carbon derivatives based on option pricing theory. It leverages deep learning models to address carbon market pricing challenges, combining carbon finance with machine learning.
Emma Moberg, Anders Lyngfelt, Mathias Fridahl
This paper proposes a food climate liability fee to finance negative emissions technologies, based on the climate impact of food and the estimated cost of BECCS. Using Sweden as a case study, it shows that targeting all food-related emissio…
Zhaohui Chen, Yiting Xie
This paper proposes a behavioral response framework to optimize carbon pricing and subsidy synergies in federated power systems, using Australia's National Electricity Market as a case study. It highlights the importance of considering mark…
Roberson Silva Barbosa, Roberto Luiz Silva
This paper legally analyzes the extraterritorial application of the EU Emissions Trading System (EU ETS), focusing on the inclusion of aviation via Directive 2008/101/EC and the ECJ's validation in case C-366/10. It argues that while the Co…
Chongjia Luo, Maosheng Duan, Baixue Wang
This paper examines peer effects among firms under regional environmental regulation, using China's regional emissions trading systems as a case study. It analyzes how firms are influenced by their peers' emission reduction actions, reveali…
Riham Muqattash, Mohamed Chakib Kolsi, Khaldoon Albitar +1
This study investigates the perceptions of academics and professionals on whether carbon tax implementation advances sustainable development in the UAE. It aims to reveal the effectiveness and challenges of carbon tax policy.
Yunqiang Wu, Lichao Zhu, Rong Zhang
This study proposes an optimal railway freight subsidy scheme for hinterland container transportation networks, incorporating carbon tax and shippers' choice behavior. It analyzes how subsidies can promote modal shift to rail, reducing carb…
Jingyi Li, Yongyu Wang
This study examines the impact of China's 2018 Environmental Protection Tax on corporate green investment using a difference-in-differences model with A-share listed firm data from 2012 to 2023. The results show that the tax significantly i…
A. Rossita, D. Nurrochmat, R. Boer +6
This study examines private sector perspectives on transitioning degraded forests and oil palm plantations to multipurpose forests in Riau, Indonesia. It identifies barriers in financing and policy, and finds that private sector interest in…
R. Katoch, Samoon Khan
This study empirically analyzes co-movements and nonlinear dynamics among NFTs, DeFi tokens, and carbon ETFs using wavelet coherence. It finds that correlations intensify during global crises like COVID-19, and carbon ETFs serve as effectiv…
Wenqing Wang, Ling Shao, Sanmang Wu
This paper integrates environmental responsibility with asset pricing by constructing a downstream carbon risk factor (DMC) using the Ghosh input-output model. Adding DMC to the Fama-French five-factor model, it shows that Chinese A-share f…
Manlu Yang, Qing G. Wang
This study examines how China's national ETS expansion to steel, cement, and aluminum affects corporate downside risk. Using a quasi-natural experiment separating MRV onset and public information shock, it finds that early control-year onse…
Derong Yi, Chunyan Li, Tao Wu +4
This paper proposes a low-carbon demand response framework for power-hydrogen integrated energy systems (PH-IESs), including a consumer-based carbon pricing strategy and a demand-side response model for energy aggregators. Distributionally …
Lei Lei, Fei Xue, Jinxin Zhang +2
This paper uses agent-based simulation and global case studies to examine how blockchain can address the 'lemon market' problem in carbon trading, improving market efficiency and transparency, and incentivizing cleaner production through di…
Juntao Han, Yibo Han, Yongzhen Wang +4
This study proposes a multi-objective optimization and comparative analysis of wind-solar and wind-solar-gas energy systems under a ladder carbon trading mechanism. It evaluates trade-offs between economic and environmental performance, hig…
Ziyou Li
This paper analyzes the impact of the EU's Carbon Border Adjustment Mechanism (CBAM) on global trade order, using Malaysia as a case study. CBAM increases export costs for products like steel and palm oil, reducing competitiveness but accel…
Navodana Rodrigo, Srinath Perera, Dilmi Atapattu
This study addresses the lack of carbon trading adoption in the construction industry by leveraging blockchain technology. Using a systematic review of 260 publications, it develops a framework integrating cross-sectoral insights to enhance…
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