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 561–580 of 803 papers
Shuting Xu, Juanling Lin, Huantao Liang +1
This paper uses game-theoretic models to examine how carbon tax and green credit jointly affect technology upgrading and economic/environmental performance of competing manufacturers. Findings show that while upgrading firms outperform econ…
Zhaoyang Lu, Diao Gou, Hailong Feng +2
This study examines the impact of China's pilot carbon emissions trading policy on the eco-efficiency of digital agriculture. Using dynamic DEA-Malmquist and DID models on panel data from 30 Chinese provinces (2011-2022), it finds that the …
Chang Liu, Jingke Gao, Ziyuan Liu +1
This paper empirically analyzes how artificial intelligence (AI) empowers carbon asset pricing and its implications for green finance development. It suggests that AI-driven carbon pricing can enhance investment decisions and corporate deca…
Panayiotis C. Andreou, Sofia Anyfantaki, Christos Cabolis +1
This paper analyzes institutional and capability enablers of firm-level emissions abatement under the EU ETS. It examines how regulatory stringency, market design, and firm capabilities such as innovation and management affect emission redu…
Tulika Phukan, Tania Sharma, Bibungsar Bargayary +1
This review analyzes how carbon trading and tree crop cultivation (orchards, agroforestry) synergistically contribute to carbon sequestration and carbon credit generation. It reports carbon storage potentials of 0.29–15.21 Mg C/ha/yr aboveg…
Salah Salimian, Sattar Salimian
This study uses a game-theoretic model to analyze the interaction between carbon pricing and subsidies for clean energy deployment. It finds that optimal policy depends on market structure and technology efficacy, and that subsidies are nee…
Indah Puspasari, Verani Carolina
This study examines carbon taxation in Indonesia's transport sector using literature review and secondary data. It compares direct carbon taxes (Sweden, Japan) to emissions trading (South Korea, Singapore), finding direct taxes offer stable…
Radulescu Magdalena, Kamel Si Mohammed, Mohammad Sharif Karimi +2
This paper analyzes the complex interactions between Emissions Trading Systems (ETS) and climate risks within the framework of carbon neutrality strategies. Using a quantile-on-quantile connectedness approach, it examines tail dependencies …
Alexander Hoogsteyn, Jelle Meus, Kenneth Bruninx +1
This paper investigates the limitations of cap-and-trade systems in driving low-carbon industrial investments due to policy risk, myopic behavior, and financial constraints. It develops a partial-equilibrium model with heterogeneous foresig…
Stephan Sommer, Théo Konc, Stefan Drews
This study examines the resilience of public support for carbon pricing in Germany using longitudinal evidence, assessing how support evolves over time and implications for policy sustainability.
Ming Wang, Zhijia Tan, Yuquan (Bill) Du
This paper analyzes the impact of carbon pricing on green technology upgrades in multi-modal freight transportation networks. It examines how rising carbon prices incentivize investment in cleaner technologies.
Yanqiu Zhu, Qihu Wang, Yue Gong
Using CFPS data from 2010-2022, this study employs staggered DID to examine the impact of China's carbon emission trading system (CETS) on individual health. Results show CETS significantly improves health, and digital finance amplifies thi…
Qi Han, Jingyuan Bian, Xiaojing Bai +2
This paper proposes a multi-objective optimal dispatch framework for integrated energy systems (IES) with a tiered carbon trading mechanism. Using an improved MOPSO algorithm, it minimizes operating cost and carbon emissions simultaneously.…
Susan Stratton Sayre
This paper analyzes the distributional impacts of a Massachusetts carbon tax across geography and income groups. It highlights how the tax burden varies by region, offering insights for designing equitable carbon pricing policies.
Katia Colaneri, Rüdiger Frey, Verena Köck
This paper analyzes investment decisions in emission abatement technologies by an electricity producer facing random carbon taxes. It considers both a precise probabilistic model (tax risk) and an uncertainty-averse differential game framew…
Shaoyue Ma, Xiangbo Xu, Linxiu Zhang +1
This paper examines the impact of a carbon tax on food in rural China, finding that it can effectively promote a transition to low-carbon and healthy diets, reducing emissions and improving health outcomes.
O. A. Ivashchuk, D. V. Goncharov, I. I. Goncharova +1
This paper proposes a model for automated carbon quota trading using blockchain technology and the VCG algorithm, targeting Russia and Kazakhstan under the Kyoto Protocol. Smart contracts automate transaction conditions and accounting, enha…
Yuegang Song, Haoqing Geng, Chien-Chiang Lee
This study empirically investigates the impact of China's carbon emissions trading policy on energy equity. Using provincial-level data, it examines how market-based environmental regulation affects low-income groups' energy burden, highlig…
Yu-Jie Hu, Ai-Ling Luo
This paper designs an optimized carbon pricing framework that integrates supply, demand, and governance for effective carbon markets. It focuses on balancing market mechanisms and regulations, providing practical guidance for policy design.
Xiaomin Li, Kiyoung Jeon
This paper analyzes the impact of carbon emissions trading systems (ETS) on corporate innovation performance from a global value chain (GVC) perspective. It explores how emission costs under ETS influence technological innovation and proces…
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