Carbon emissions reduction in China's container terminals: Optimal strategy formulation and the influence of carbon emissions trading

Zhong, Huiling; Hu, Ziwei; Yip, Tsz Leung

doi:10.1016/j.jclepro.2019.02.074

Cited by 58 publications

(18 citation statements)

References 16 publications

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“…If the absolute value of the regression coefficient θ 1 is both smaller than the absolute value of α 1 , it means that the two can play a mediating role in the process of suppressing carbon emission intensity in the digital economy. If β 1 θ 2 and θ 1 have the same value, it means that the effect is a partial mediating effect [ 34 ].…”

Section: Digital Economy and Carbon Emission Trading Model By Blockchainmentioning

confidence: 99%

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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To reduce the carbon emission intensity of resource-based cities and strengthen the sustainable development of these cities, firstly, blockchain technology is analyzed. Secondly, the development of the digital economy is discussed in digital resource-based cities. Finally, according to blockchain technology, a model of carbon emissions trading in the digital economy is designed, and the specific impact of the digital economy on carbon emissions trading is studied according to the model. The research results show that the mean value of the development index of the digital economy (digital) is −0.0168, the maximum value is 4.2560, the minimum value is −1.3429, and the standard deviation is 0.9572, indicating that the quality of digital economy development varies greatly among different regions. And according to the results of the digital model, it is found that the regression coefficient of the variable digital is significantly negative at the 1% level, showing that the digital economy will obviously suppress the carbon emission intensity of cities. After replacing the explained variables, the coefficient of the digital economy is still significantly negative. It indicates that the development of the digital economy can effectively suppress the carbon emission intensity of urban. Therefore, the designed model of carbon emissions trading under the blockchain technology can not only provide a secure platform for carbon emissions trading but also provide more comprehensive trading reference information for carbon emissions trading. It provides technical support for reducing the carbon emission intensity of resource-based cities and also contributes to the development of resource-based cities.

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Section: Digital Economy and Carbon Emission Trading Model By Blockchainmentioning

confidence: 99%

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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“…In this paper, a solution fits the purchasing or selling emission quotas is presented for those occasions that taking advantage of emission trading is accessible for GenCos/industrial consumers. In this regard, [26] and [27] have focused on the detailed investigation of emission trading pattern in China's container terminal and building materials industry, respectively. Based on this approach, after solving the multi-objective bidding strategy problem, a specific strategy for each Pareto optimal solution will be adopted.…”

Section: Emission Tradingmentioning

confidence: 99%

Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Khaloie

Abdollahi

Shafie‐khah

et al. 2020

Journal of Cleaner Production

100

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“…For comparison, common strategies for emerging energy technologies were also tested. Some countries implement carbon trading as a way to encourage manufacturers to keep their carbon emission within a certain threshold [10]. In this model, this may be incorporated as the unit conversion of the gap between emission reduction goals to investments for expansion.…”

Section: Simulation and Sensitivity Analysismentioning

confidence: 99%

Dynamic Assessment of the Sustainability of Algal Biorefineries in the Production of Biofuels

Alvin,

Culaba*,

Ching

et al. 2020

Preprint

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Carbon emissions reduction in China's container terminals: Optimal strategy formulation and the influence of carbon emissions trading

Cited by 58 publications

References 16 publications

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

The Impact of Digital Economy of Resource-Based City on Carbon Emissions Trading by Blockchain Technology

Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties

Dynamic Assessment of the Sustainability of Algal Biorefineries in the Production of Biofuels

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