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 181–200 of 2738 papers
Li Y.
A comparative analysis of carbon tax versus emissions trading market strategies for advancing carbon neutrality in China's coal-fired power sector. It examines the design and effectiveness of the two carbon-pricing approaches for power-sect…
F. Sunder, Sibylle Braungardt, Tilman Hesse +1
First empirical evaluation of Germany's 2023 graduated carbon-cost-splitting law for rental buildings, introduced ahead of EU-ETS 2. Combining ~400 landlord/metering/property-manager surveys, stakeholder interviews, and metered consumption …
Yin Ma, Yue Wu
This study proposes an aggregator-led framework coordinating PV prosumers, storage units, and coupled electricity–carbon markets via a Stackelberg game solved with ADMM for privacy-preserving distributed optimization. Prosumers shift demand…
Iis Alviya, Harsha Sarvaiya, Md Sayed Iftekhar +1
Drawing on 18 interviews with senior executives of Indonesian land-based firms, this study applies the Theory of Planned Behaviour to examine intentions to participate in carbon trading. Regulatory ambiguity, high transaction costs, and lim…
刘昌玮, Juan Wang, Chengyi Xia
This letter proposes a two-layer network evolutionary game model linking a carbon market trading layer and a low-carbon technology R&D layer. A bidirectional feedback mechanism shows that inter-layer feedback significantly shapes corporate …
S.M. Masudur Rahman, Demetris Vrontis, Md. Mahabub Alom +1
This study extends the TOE model into a decentralised technology–organisation–environment–technoethics (DT-OET) model and tests it with PLS-SEM on survey data from 384 professionals in Bangladesh. Organisational readiness, environmental fac…
Yong Lyu, Tiande Mo, Fangni Zhang
This paper examines managing urban transportation carbon emissions through an integrated emissions trading system that combines personal and corporate carbon trading. It proposes connecting individual-level carbon trading with corporate ETS…
Imke Rhoden
Using a finite-horizon Markov decision process across 850 European fossil units, the study derives plant-level closure thresholds under stochastic carbon prices. Thresholds fall below recent EU allowance prices for all fuels, so further pri…
N. Ismail, M. Z. Abd Karim, Mukhriz Izraf Azman Aziz +2
Using ARDL cointegration on Malaysian data (1970-2018), this study examines how CO2 emissions affect economic efficiency. It finds a positive short-run but negative long-run relationship, and uses green total factor productivity (GTFP) as a…
星皓 王
This study proposes a hybrid factor-decomposition and ARIMA approach to forecast carbon prices in Guangzhou's emissions trading market. Without an abstract, details are limited, but it likely contributes to understanding price dynamics in C…
Jie Ye, Renshan Xie, Qiao Quan +4
Using a translog production function with ridge regression and SFA robustness checks, this study estimates the shadow price of agricultural carbon emissions across nine Fujian cities (2010–2023). Shadow prices rise steadily, indicating grow…
Cong XU, Xinwei GAO
A study forecasting carbon prices using explainable deep learning. Improved carbon price prediction supports corporate carbon-cost management and investment decisions under emissions trading. The explainability focus aids transparency for p…
Bonaraja Purba, Donita Nababan, Nur Sandi Sihombing +1
A qualitative literature review of seven studies (2016–2024) examining Indonesia's carbon market as an economic instrument for emissions reduction. It finds carbon markets can incentivize abatement, shift corporate behavior, generate state …
Bharis Hongsakul, Apinya Ingard, Mallika Subongkod
Survey of 357 Thai airline passengers using Value–Belief–Norm and perceived value theory. Environmental motivation raises perceived offset benefit (β=0.524) and offsetting behavior (β=0.276); perceived benefit partially mediates and travel …
Ayush Kumar Sharma, Mamta Pankaj Jain, Shikha Pareek +1
A bibliometric analysis of 5,432 Scopus-indexed peer-reviewed articles on carbon credit markets, environmental finance, and risk assessment. Using citation, co-citation, and keyword analysis, the authors map three phases: foundation (2001-2…
Moting Su, Ruoyu Zhao, Jiajia Jiang +2
Proposes a multi-blockchain framework for carbon futures trading to boost innovation and liquidity in China's national carbon market. It integrates multi-authority regulatory requirements, four blockchain types for data privacy, and a cross…
Facundo Luna
A calibrated two-sector E-DSGE model with Gertler–Karadi banking frictions, endogenous abatement, and Epstein–Zin preferences analyzes how carbon taxes affect inflation and output. Financial frictions amplify the macroeconomic effects of ca…
Cao W.
An evolutionary game analysis of collaborative behavior among stakeholders in developing prefabricated buildings in China under its emissions trading scheme. It likely models how carbon pricing signals shape cooperation and technology adopt…
Di Foggia G.
A study assessing how the EU Emissions Trading System affects sustainable development. Without an abstract, methods and findings are unverified, but it likely empirically evaluates carbon pricing's emissions and socio-economic impacts.
Morchid W.
This study quantifies the cost that the EU's Carbon Border Adjustment Mechanism (CBAM) imposes on Moroccan exports. It examines how border carbon charges affect the export competitiveness and trade flows of a neighboring emerging economy. T…
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