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 1–20 of 50 papers
Yen-Lien Kuo, Wensong Wu, Daigee Shaw +5
This experimental study shows that introducing imaginary future generations (IFGs) significantly increases the probability of choosing carbon tax schemes by 11%. A survey in Taiwan found that a carbon tax bundled with reduced VAT and lump-s…
Daramola Joseph Omoyele
The UK's net-zero target relies on carbon pricing, but ETS-covered sectors have reduced emissions while non-ETS sectors (75% of emissions) lag. This paper shows that effective carbon prices in transport, buildings, and small businesses are …
B. Lu, Xueye Liu, Jialin Hong +4
This study develops a process-level accounting framework to quantify the long-term impact of the EU's CBAM on China's steel industry. Certificate costs are estimated at 0.29–12.3 billion CNY by 2050, with EU ETS price as the main driver. Lo…
Pierdomenico Duttilo, Francesco Lisi
This paper examines the pass-through of EU ETS carbon costs to Italian wholesale electricity prices from 2016 to 2024. Using daily data and regression with autoregressive dynamics, it finds that carbon costs are positively transmitted but i…
Ms. K. Dharani, Dr. R S Ch Murthy Chodisetty
This study conceptually examines how carbon markets (ETS, carbon pricing, offsets) enhance sustainable finance effectiveness. It analyzes moderating roles of GDP per capita and political stability, emphasizing strong policy frameworks and t…
Ohn Zin Lin, Dagmar Juchelková, Libor Štěpanec +2
This paper analyzes fragmented regulations, limited green finance access, and underdeveloped carbon markets in ASEAN. Through comparative policy analysis of global best practices (EU ETS, CBAM, green bond standards) and case studies from In…
Weijie Liu
This paper constructs an ensemble learning prediction framework using LightGBM, XGBoost, and CatBoost to predict carbon emission trading prices for listed manufacturing enterprises in China. Using SHAP for model interpretability, it finds t…
Chensheng Lv
This study uses a DID model to analyze China's regional carbon trading pilots' impact on corporate ESG performance. Results show that the carbon emission trading mechanism significantly improves ESG ratings through a composite mechanism of …
Haiyan Lan, Guoshuai Sun, Jiao Feng +1
This study develops a dynamic duopoly game model of renewable and thermal power producers under carbon trading and green certificate schemes. Using nonlinear dynamic methods, it finds that very low renewable costs can destabilize the system…
Jung-Mi Lim, Seongjun Lee, Taeyoung Jin +1
This paper analyzes the impact of changes in allocation and price in the emission trading scheme (ETS) on the electricity market, using a Korean case study. It examines how carbon price fluctuations affect electricity prices and generation …
Ajay Kumar
This study examines the effect of carbon taxes on greenhouse gas emissions in five OECD countries (Denmark, Finland, Sweden, Norway, Slovenia) from 1990 to 2019. Using Pearson correlation and Phillips-Perron unit root tests, it finds that c…
Shuhao Li, Yixin Lin, Xiutao Gao +2
This paper proposes a multi-objective optimal scheduling model for integrated energy systems that integrates tiered carbon trading and load-side demand response. A reward-penalty carbon cost model internalizes carbon constraints. Using the …
Lei Qing
This study evaluates alternative ETS designs to support renewable energy development in the Beijing–Tianjin–Hebei region using AHP and fuzzy VIKOR. Environmental effectiveness and technological innovation receive the highest weights. The in…
Jong-Dae Kwon, E. Kim
This study examines whether greenhouse gas (GHG) emission reductions and emissions trading outcomes under an Emissions Trading Scheme (ETS) are associated with the cost of equity capital. Using a sample of ETS firms from 2015-2020, it finds…
Saurav Kumar, T. Ghosh, S. Banerjee
This study analyzes the macroeconomic dynamics of India's intensity-based Carbon Credit Trading Scheme (CCTS) using an Environmental DSGE model. Distinguishing between thermal and green electricity, it finds that the scheme promotes green e…
Fang Hu, Yubo Li, Thomas Li‐Ping Tang
This paper uses a DSGE model to analyze the interplay of carbon trading mechanisms and government investment policies on carbon emissions and economic growth in China. It finds that independent carbon markets lead to higher emission increas…
Xiaoou Liu
This paper proposes a virtual power plant (VPP) framework with electric heat pump, carbon capture, and shared storage to overcome CHP heat-power coupling in northern China. A leader-follower game optimizes differential pricing considering g…
Ru Wang, Junxiang Li, Ziyin Yang
This paper proposes a multi-energy collaborative pricing mechanism for virtual power plants (VPPs) under carbon trading regulation. It uses a bi-level optimization model to simultaneously maximize user utility and minimize supplier costs, c…
Wei Xu, Lu Zhang, Grace Kouassi
This paper proposes a bi-level optimization framework for coordinating carbon abatement across the multi-echelon power equipment supply chain under carbon quota and trading policies. The upper model minimizes lifecycle emissions, while the …
Chenqian Pan, Chaolin He
Using data from Chinese listed companies in carbon pilot regions (2013-2024), this study examines how carbon trading prices affect the quantity and quality of corporate green technological innovation. A two-way fixed effects model shows tha…
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