Journal
JOURNAL OF CLEANER PRODUCTION
Volume 240, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.118244
Keywords
Carbon reduction; Supply chain; Dynamic carbon emission quotas; Consumers' preference
Categories
Funding
- Think Tank of Energy Mining Economy (2018 Project for Cultural Evolution and Creation of China University of Mining and Technology) [2018WHCC01]
Ask authors/readers for more resources
Due to increasing environmental pollution, governments have issued a series of policies to control carbon emissions. A carbon quota policy is one of them. This study aimed to verify the effectiveness of the policy by examining its impact on supply chain members. This paper investigates emissions reduction in a supply chain under different carbon emission quotas in two stages. This paper constructs a supply chain model in three modes: (i) no carbon emission quota policy, (ii) the government implements the first stage of a carbon quota policy, and (iii) the government offers lower carbon quotas in the second stage. The analysis reveals that when the initial carbon quota allocated by the government meets certain conditions, the emission reduction rate in the first stage of the carbon quota policy is greater than that without the carbon quota policy; and an interesting finding is that the reduction rate further increases when the government reduces carbon quotas in the second stage. In addition to the reduction rate, the manufacturer's and the retailer's profits increase with consumers' preference for low-carbon products. With an increase of the decline parameter of free allocated carbon emission rights, the profits of both the manufacturer and the retailer decrease, but the profit of the manufacturer in the second stage is always lower than that in the first stage, whereas the retailer's profit is higher in the second stage than in the first stage. (C) 2019 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available