emission reduction
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2022 ◽  
Vol 113 ◽  
pp. 300-310
Author(s):  
Xiaolan Li ◽  
Guiqian Tang ◽  
Liguang Li ◽  
Weijun Quan ◽  
Yangfeng Wang ◽  
...  

2022 ◽  
Vol 9 ◽  
Author(s):  
Fuqiang Wang ◽  
Huimin Li ◽  
Yongchao Cao ◽  
Chengyi Zhang ◽  
Yunlong Ran

Knowledge sharing (KS) in the green supply chain (GSC) is jointly determined by the KS efforts of suppliers and manufacturers. This study uses the differential game method to explore the dynamic strategy of KS and the benefits of emission reduction in the process of low carbon (LC) technology in the GSC. The optimal trajectory of the knowledge stock and emission reduction benefits of suppliers and manufacturers under different strategies are obtained. The validity of the model and the results are verified by numerical simulation analysis, and the sensitivity analysis of the main parameters in the case of collaborative sharing is carried out. The results show that in the case of centralized decision-making, the KS efforts of suppliers and manufacturers are the highest, and the knowledge stock and emission reduction benefits of GSC are also the best. The cost-sharing mechanism can realize the Pareto improvement of GSC’s knowledge stock and emission reduction benefits, but the cost-sharing mechanism can only increase the supplier’s KS effort level. In addition, this study found that the price of carbon trading and the rate of knowledge decay have a significant impact on KS. The study provides a theoretical basis for promoting KS in the GSC and LC technology innovation.


2022 ◽  
Vol 14 (2) ◽  
pp. 879
Author(s):  
Bin Zheng ◽  
Sheng Wang ◽  
Jingxin Xu

To reach the peak of carbon emission in China, the energy and power industry has the most arduous task and the heaviest responsibility. It should not only ensure efficient economic development, but also complete the arduous task of energy conservation and emission reduction. It is the main force in helping reach the peak of carbon emission. Taking the achievement of carbon peak in China’s power industry as the research object, this paper utilizes time series analyses to establish CO2 emission prediction models for China and its power industry under two scenarios: with and without a carbon peak target. The paper analyzes the current status of achieving carbon peak in China’s power industry and puts a forward CO2 emission reduction scheme for China and its power industry in the future. On this basis, countermeasures for China’s power industry to deal with carbon peak are explored.


2022 ◽  
pp. 1-19
Author(s):  
Zahra Janipour ◽  
Vincent de Gooyert ◽  
Mark Huijbregts ◽  
Heleen de Coninck
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