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The effect of carbon price on low carbon innovation [PDF]

open access: yesScientific Reports, 2023
Whilst many governments have implemented carbon pricing to provide firms with a greater financial incentive to develop low carbon technologies, the effect of the carbon price on the level of low carbon innovation remains unclear. In this study we develop
Bernardo Cantone   +2 more
doaj   +2 more sources

Do carbon prices affect stock prices?

open access: hybridJournal of Financial Research, 2023
AbstractWe explore how carbon pricing affects corporate financial performance during Phase 3 of the European Union Emissions Trading Scheme (EU ETS). We find that the relationship between carbon prices and stock prices depends critically on the proportion of verified emissions covered by freely allocated ETS allowances: For firms with a greater ...
Patrick Bolton   +2 more
openalex   +2 more sources

Carbon market price prediction in the Yangtze River Basin based on improved deep learning ensemble model with CEEMDAN and Attention-RNN [PDF]

open access: yesCarbon Balance and Management
Accurate carbon price prediction can help the government establish an effective and stable carbon trading market mechanism, which researchers are increasingly focusing on.
Zuliang Lu   +4 more
doaj   +2 more sources

Perception and Prediction of Factors Influencing Carbon Price: Multisource, Spatiotemporal, Hierarchical Federated Learning Framework with Cross-Modal Feature Fusion [PDF]

open access: yesSensors
To address the challenge of accurately predicting carbon price fluctuations, which are influenced by multiple factors, a multisource, spatiotemporal, federated learning framework with cross-modal feature fusion is proposed.
Peipei Wang, Xiaoping Zhou
doaj   +2 more sources

Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network

open access: yesEnergies, 2022
The scientific judgement of the structural abrupt transition characteristics of the carbon market price is an important means to comprehensively analyze its fluctuation law and effectively prevent carbon market risks.
Mengrui Zhu   +5 more
doaj   +1 more source

An optimization model of benchmark electricity price for coal fired power generation considering the uncertainty of carbon price and electricity price

open access: yesZhejiang dianli, 2023
With the promotion of carbon emissions trading market (hereinafter referred to as “carbon market”) agents, the carbon emission cost of coal-fired generation enterprises will continue to rise.
XIANG Zhongming   +5 more
doaj   +1 more source

Dynamic linkages among oil price, green bond, carbon market and low-carbon footprint company stock price: Evidence from the TVP-VAR model

open access: yesEnergy Reports, 2022
Achieving peak carbon dioxide emissions and carbon neutrality is essential for China to achieve high-quality economic development. This paper uses the Time-Varying Parameter Vector AutoRegression (TVP-VAR) model to explore the dynamic relationship ...
Houjian Li   +3 more
doaj   +1 more source

Impact of carbon price on Indonesia’s power sector up to 2050

open access: yesCarbon Neutrality, 2023
This study uses TIMES model to assess Indonesia’s power sector’s carbon price impact from 2020 to 2050 and the price needed by 2030 to meet the Paris Agreement NDC target.
Firsta Arianty Kamandika   +1 more
doaj   +1 more source

Carbon Price Prediction Based on Ensemble Empirical Mode Decomposition and Extreme Learning Machine Optimized by Improved Bat Algorithm Considering Energy Price Factors

open access: yesEnergies, 2020
In response to climate change and environmental issues, many countries have gradually optimized carbon market management and improved the carbon market trading mechanism.
Wei Sun, Junjian Zhang
doaj   +1 more source

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