DocumentCode
2348174
Title
The Analysis on Carbon Emission Reduction Effect of Closed-Loop Supply Chain Based on Government´s Recoverying Subsidy
Author
Zhou, Jianpeng ; Zhang, Guoxing ; Liu, Peng ; Zhang, Hua
Author_Institution
Sch. of Manage., Lanzhou Univ., Lanzhou, China
fYear
2011
fDate
15-19 April 2011
Firstpage
1172
Lastpage
1176
Abstract
Supply chain plays an important role in energy consumption and carbon emissions in an economy, how to optimize processes of supply chain, and promote whole supply chain in a way of de-carbonization, it has become a common concern of the community. By constructing a two-echelon closed-loop supply chain model, which composed of a single manufacturer and a single salesman, this article aims to analysis the carbon emission reduction effects and overall performance of whole supply chain under different circumstances, such as forward supply chain, reverse supply chain and government recycle subsidy. Results indicate that the return rate of used products and profit of each member of closed-loop supply chain is bigger after government´s subsidies. And the carbon reduction emission effect of whole supply chain is also getting better than that of without government subsides. Based on maximum carbon emission effect, we give the optimal government recycling subsidy model, which will provide an idea for the government to implement recovering subsidies on supply chain in low-carbon economy.
Keywords
environmental economics; government policies; industrial economics; recycling; supply chain management; carbon emission reduction effect; decarbonization; energy consumption; forward supply chain; government recoverying subsidy; low-carbon economy; optimal government recycling subsidy model; reverse supply chain; two-echelon closed-loop supply chain model; used product return rate; Carbon dioxide; Government; Raw materials; Recycling; Supply chains; carbon emission reduction effects; closed supply chain; government recycling subsidy; low-carbon economy;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location
Yunnan
Print_ISBN
978-1-4244-9712-6
Electronic_ISBN
978-0-7695-4335-2
Type
conf
DOI
10.1109/CSO.2011.14
Filename
5957863
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