GX & Decarbonization Research

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…

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…

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 …

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…

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…

Augustine Senanu Komla Kukah, Xiaohua Jin, Robert Osei-Kyei +1

This study evaluates motivating factors for individuals to participate in carbon trading in the construction industry. Through a survey of Australian industry experts, 13 factors were identified and grouped into attitudes/motivation and awa…

Yan Aditya Pradana, Mohammad Isa Irawan, Imam Mukhlash +1

This study proposes a carbon trading strategy for the European Union Emissions Trading System (EU ETS) using deep stochastic reinforcement learning with risk analysis. It aims to optimize trading decisions under market uncertainty, outperfo…

Rival Pahrijal, Arief Fahmi Lubis, M Ammar Muhtadi

This study analyzes the legality and challenges of carbon trading implementation in Indonesia under Presidential Regulation No. 98/2021. It finds that while the legal framework is formally established, challenges include regulatory fragment…

Peng-peng Yuan, Qingsong Wang

This study uses game theory to analyze how manufacturers can use blockchain to address consumer skepticism about carbon reductions under cap-and-trade policy. It finds that unit abatement is negatively correlated with consumer skepticism an…

Chuanliang Wang, Zhaoxin Liu, Aiping Wang

This paper systematically reviews China's laws and policies on blue carbon sink trading, identifying three core regulatory problems: vague allocation of powers, incomplete transaction rules, and weak accountability. It provides recommendati…

Rahmi Çetin

This systematic literature review synthesizes 32 peer-reviewed articles on CBAM's trade implications. While a minority view CBAM as necessary to prevent carbon leakage, the majority highlight risks of global welfare losses, trade disputes, …

Sukmawati Sukamulya, Veronica Tri Kusuma

This study examines liquidity and market microstructure of tokenized carbon assets (KLIMA, BCT, MCO2) in blockchain-based voluntary carbon markets, using mean-centered MMRM with HAC corrections and a regulation index as moderator. Results s…