Supply Chain Investment in Carbon Emission‐Reducing Technology Based on Stochasticity and Low‐Carbon Preferences

Shan, Yu; Hou, Q. R.

doi:10.1155/2021/8881605

Cited by 13 publications

(8 citation statements)

References 23 publications

(23 reference statements)

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“…According to the formula, it can be seen that the purpose of the objective function is to maximize the differentiation of D and minimize the difference between the distribution of G and the real data. Figure 1 depicts a schematic diagram of the structure of the generated adversarial network [21].…”

Section: Discriminative Methods Based On Generative Adversarial Networkmentioning

confidence: 99%

Evaluating the Feasibility of Low-Carbon Technology in the Sustainable Economic Development of Electricity Using Generative Adversarial Networks

Wang

2024

J. Phys.: Conf. Ser.

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Electricity occupies a central position in energy strategy, and the low-carbon development of the power industry is an important guarantee for achieving sustainable development and carbon dioxide reduction goals. Orderly carrying out low-carbon technology transformation and innovation in electricity, ultimately achieving the goal of sustainable development of the power industry, has strong practical significance. Therefore, this article conducts a feasibility analysis of using generative adversarial networks to evaluate low-carbon technologies in the sustainable economic development of electricity. Firstly, the background of the theory of technological and economic evaluation was analysed and used as a theoretical basis. Secondly, an adversarial network was generated for the study of low-carbon emissions in the power industry, and an evaluation system for low-carbon technology in the sustainable economic development of electricity was constructed. The study showed that the preliminary economic evaluation index system and comprehensive benefit evaluation model for low-carbon technology transformation projects in electricity established in this article have feasibility and reliability for systematic analysis and evaluation of actual projects.

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Section: Discriminative Methods Based On Generative Adversarial Networkmentioning

confidence: 99%

Evaluating the Feasibility of Low-Carbon Technology in the Sustainable Economic Development of Electricity Using Generative Adversarial Networks

Wang

2024

J. Phys.: Conf. Ser.

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“…Based on the consideration of the impact of consumers' low-carbon preference on market demand and the uncertainty of carbon emission reduction behavior, the stochastic differential game model of upstream and downstream enterprises is established. It is found that the government's cost subsidy policy can promote carbon emission reduction investment and improve supply chain profits [8]. Comprehensive fitness can enhance physique and improve health level [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Supply Chain Optimization Considering Consumer Subsidy Mechanism in the Context of Carbon Neutrality

Liu

Sun

et al. 2023

Energies

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With the proposal of China’s “carbon peak, carbon neutral” strategy, the increasing awareness of low carbon production among consumers, and the government’s introduction of carbon trading mechanism and low carbon consumption subsidy policies, enterprises are facing good opportunities for development. However, how the government can reasonably formulate low carbon policies and how enterprises can implement optimal low-carbon production decisions are still key issues in China’s low-carbon transition development. In this context, this paper is based on the carbon trading mechanism and carbon consumption subsidies. In this context, based on the carbon trading mechanism, this paper focuses on green production and green consumption, considers the impact of low-carbon consumer preferences and government subsidies on enterprises’ low-carbon production decisions, and uses the optimal theory to study the optimal pricing strategy and the optimal carbon reduction strategy. The study shows that the increase in carbon price has a positive effect on the increase in enterprise profit; the increase of carbon emission has a negative effect on the increase of enterprise profit and the high carbon price will intensify this effect. In addition, changing the intensity of government subsidies to consumers will lead to the change of enterprise carbon emission strategy. The study of this paper provides a certain reference for the government to reasonably formulate carbon trading prices and consumer low-carbon subsidies. In addition, considering consumer low-carbon preferences is also conducive to promoting green production practices of enterprises, thus promoting the realization of the carbon neutral strategy.

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“…In the port supply chain, customers' low-carbon preference also plays a positive role in port emission reduction, but there is little research on this aspect. In the studies related to the product supply chain, Yu and Hou [18] investigated the influence of consumers' low-carbon preferences on the market demand. Su et al [19] built a pricing decision model in a green supply chain in line with consumer green preference, considering different forms of subsidy and various power structures.…”

Section: Literature Reviewmentioning

confidence: 99%

Choice of Emission Control Technology in Port Areas with Customers’ Low-Carbon Preference

Zhou

Zhang

2022

Sustainability

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The choice of emission control technology in a port supply chain under a cap-and-trade scheme considering low-carbon preferences of customers, is explored in this study. In port areas, the port supply chain consisting of one port and one ship can adopt either shore power (SP) or low sulfur fuel oil (LSFO) to reduce emissions. The economic and social performance of the port supply chain when either SP or LSFO is implemented is compared under three different game models (port-leader Stackelberg game, ship-leader Stackelberg game and the Nash game). The obtained results show that the profits and emissions in the Nash game are higher than those in the other two games. When environmental concern is relatively small, social welfare in the Nash game is the highest, while social welfare in the one-party-dominant structure is superior to that in the Nash structure, under high environmental concern. When the customers’ low-carbon preferences and carbon prices are low, both the supply chain’s profits and carbon emissions when LSFO is used are higher than those from using SP. From the perspective of social welfare maximization, in general, LSFO is preferred when carbon price, customers’ low-carbon preference and environmental concern are all low or are all high. Otherwise, SP is the optimal decision. The findings can provide insights for governments in formulating emission control policies according to their own interests.

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Supply Chain Investment in Carbon Emission‐Reducing Technology Based on Stochasticity and Low‐Carbon Preferences

Cited by 13 publications

References 23 publications

Evaluating the Feasibility of Low-Carbon Technology in the Sustainable Economic Development of Electricity Using Generative Adversarial Networks

Evaluating the Feasibility of Low-Carbon Technology in the Sustainable Economic Development of Electricity Using Generative Adversarial Networks

Research on Supply Chain Optimization Considering Consumer Subsidy Mechanism in the Context of Carbon Neutrality

Choice of Emission Control Technology in Port Areas with Customers’ Low-Carbon Preference

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