This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 61–80 of 1782 papers
Xiaomin Li, Kiyoung Jeon
Using Chinese manufacturing firm data (2007–2022), this study examines how firm characteristics, environmental regulation, and GVC participation affect carbon productivity. Leverage, liquidity, and ROA are positive; internationalization is …
Godspower C. Abanum, George Nduka
This study models the interplay of economic growth, carbon pricing, and GHG emissions in Nigeria's Niger Delta using system dynamics. It builds coupled nonlinear differential equations, proves positivity, boundedness, and stability, and der…
Tony He Tang
Using a daily panel of 270 Chinese cities (2013–2019), this paper tests whether emissions trading systems mitigate emission instability driven by political shocks. Local leadership turnovers raise air pollution while unannounced central ins…
Al-Masbhi G.
This paper proposes a comparative methodological framework for assessing how carbon pricing on food affects household distribution and nutrition. It highlights the need to weigh equity and nutritional outcomes alongside environmental effect…
Amidi S.
A spatial analysis examining whether carbon taxes induce emissions transfer (carbon leakage) across regions. Without an abstract, details are unclear, but the paper addresses the effectiveness of carbon pricing and the spatial reallocation …
Xinting Yang
Using balanced panel data from 30 Chinese provinces (2010–2023), this study applies a multi-period DID to estimate the ETS pilot's effect on industrial carbon intensity. ETS significantly reduces industrial carbon intensity in pilot provinc…
Sanon Boonmee, Suchart Siengchin, Preeda Attavinijtrakarn +1
This study identifies the competencies required of executives in the carbon credit trading industry and develops a strategic plan and handbook for the digital era. Using the Delphi method and focus groups with 19 experts, it derives five co…
Zuo, Xuguang, Xu, Mengjie, Min, Jialin +2
This repository provides the code and data reproducing the results of "Carbon pricing instruments exacerbate copper inequality." It suggests carbon pricing may widen distributional inequities across the copper supply chain. The work, from a…
Chayma OUSIABOU, Abdelhadi DARKAOUI
This bibliometric study maps the literature on carbon pricing and green finance in road transport decarbonization using Scopus and VOSviewer. It finds growing academic interest but fragmented integration of the two instruments in the transp…
Iñaki Arto, María Victoria Román, Simone D'Alessandro +6
This study uses an ecological macroeconomic integrated assessment model to explore how universal basic income interacts with decarbonisation. It examines how carbon-pricing revenue use and redistribution design affect both emission reductio…
De Cara S.
This paper estimates marginal abatement cost curves for greenhouse gas emissions from European agriculture and assesses the cost-effectiveness of the EU non-ETS burden-sharing agreement. It quantifies abatement potential and policy costs, o…
Gui-Qiong Xu, Zhong-Qiang Gao, Yuan Liu
This study builds CEEMDAN–FADE, a frequency-adaptive ensemble framework combining signal decomposition, complexity-based reconstruction, data-driven model selection, and dynamic weighting for carbon-price forecasting. In China's Hubei and G…
Jia Ding, Maolin Wang, Junyang Jin +1
This study proposes an adaptive end-to-end transformer-based deep learning model for carbon price forecasting, integrating spatio-temporal attention, a self-decomposition mechanism, and Particle Swarm Optimization for hyperparameter tuning.…
Jinjin Tian, Li Chen, Yong Ma +1
Using provincial CPU indices, TVP-VAR connectedness, GARCH-MIDAS and network analysis, this study examines dynamic risk spillovers across China's eight regional carbon markets (Jan 2018–May 2024). Spillovers are asymmetric and time-varying:…
Jun Cui, Hao Dong
A quasi-natural experiment examining how China's carbon emissions trading system affects corporate green investment decisions, with financial innovation as a mediating or moderating channel. Specific methods and findings are unavailable as …
Jan Maciejowski, Manuele Leonelli
This study applies extreme value theory and graphical models to EUA futures to analyze tail dependence across EU carbon markets. It characterizes how carbon prices co-move in extreme scenarios, offering a quantitative tool for risk manageme…
Chiad F.
This study examines the dependence between carbon price uncertainty and sustainable financial markets using a quantile framework. It finds nonlinear threshold effects and structural breaks during COVID-19, showing how carbon price risk spil…
Andreou P.C.
An empirical study examining how firms engage in proactive environmental behavior under the EU Emissions Trading System. It likely tests how carbon price signals shape corporate environmental strategy and investment decisions. Without an ab…
Hong J.
This work applies data-driven modelling to the coupled system of energy markets and emissions trading schemes (ETS). It aims to quantify how carbon prices propagate into power prices, generation mix and investment decisions, supporting info…
Pelikánová R.M.
This paper legally assesses the reformed EU Emissions Trading System against criteria of legitimacy, effectiveness and efficiency. It examines whether the bloc's central carbon-pricing regime adequately serves GHG reduction goals. Without a…
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