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Research on Coordination Mechanism and Low-Carbon Technology Strategy for Agricultural Product Supply Chain

Research on Coordination Mechanism and Low-Carbon Technology Strategy for Agricultural Product Supply Chain

Liu Changchun
Copyright: © 2017 |Volume: 10 |Issue: 3 |Pages: 23
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781522511793|DOI: 10.4018/IJISSCM.2017070101
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MLA

Changchun, Liu. "Research on Coordination Mechanism and Low-Carbon Technology Strategy for Agricultural Product Supply Chain." IJISSCM vol.10, no.3 2017: pp.1-23. http://doi.org/10.4018/IJISSCM.2017070101

APA

Changchun, L. (2017). Research on Coordination Mechanism and Low-Carbon Technology Strategy for Agricultural Product Supply Chain. International Journal of Information Systems and Supply Chain Management (IJISSCM), 10(3), 1-23. http://doi.org/10.4018/IJISSCM.2017070101

Chicago

Changchun, Liu. "Research on Coordination Mechanism and Low-Carbon Technology Strategy for Agricultural Product Supply Chain," International Journal of Information Systems and Supply Chain Management (IJISSCM) 10, no.3: 1-23. http://doi.org/10.4018/IJISSCM.2017070101

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Abstract

As the future orientation of economic and agricultural development, low-carbon agriculture is devoted to reducing the energy inputs and greenhouse gas emissions during the agriculture production. So, it's urgent to take some actions to transit from the current high carbon economy to a low-carbon and high resource efficient economy. This paper examines a two-echelon agricultural product supply chain with a producer and a processor and the market demand is influenced by the retail price and the level of low-carbon technology. The optimal solutions in the decentralized and centralized agricultural product supply chain with or without low-carbon technology are studied. To make the decentralized agricultural product supply chain perform as well as the centralized agricultural product supply chain, the coordination mechanism of the low-carbon supply chain that few of papers focused explicitly on is designed. Finally, extensive numerical experiments are conducted to study the behaviors of supply chain members.

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