Emission reduction in a supply chain with carbon tax policy

YANG Huixiao, LUO Jianwen

Systems Engineering - Theory & Practice ›› 2016, Vol. 36 ›› Issue (12) : 3092-3102.

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Systems Engineering - Theory & Practice ›› 2016, Vol. 36 ›› Issue (12) : 3092-3102. DOI: 10.12011/1000-6788(2016)12-3092-11

Emission reduction in a supply chain with carbon tax policy

  • YANG Huixiao, LUO Jianwen
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Abstract

We investigate the impact of carbon tax and the consumers' environmental awareness on the manufacturer's optimal emission reducing level and the optimal contractual parameters in a supply chain, which consists of both a retailer who faces uncertain demand and a manufacturer who exerts costly effort to reduce the carbon emission of a product during manufacturing to increase its retail price under a wholesale price contract (WPC) and a revenue-sharing contract (RSC). We show that the RSC can coordinate the supply chain with and without emission reduction and improve the two players' profits. Moreover, there exists a unique optimal reducing level for the manufacturer under WPC and for the supply chain coordinated with RSC, respectively, and a unique threshold of reducing level for the manufacturer and the retailer under WPC, and the supply chain coordinated with RSC to benefit from emission reduction, respectively. Furthermore, the variation of optimal wholesale price with reduction depends on the incremental unit cost of production, and the variation of the range of sharing proportion that can achieve Pareto improvement and coordinate the supply chain depends on the efficiency of the supply chain. The variation narrows when the increasing rate of the price that the consumers are willing to pay for environmental products is greater than that of the unit production cost, otherwise it broadens.

Key words

carbon tax / consumer preference / carbon reduction / supply chain contract

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YANG Huixiao , LUO Jianwen. Emission reduction in a supply chain with carbon tax policy. Systems Engineering - Theory & Practice, 2016, 36(12): 3092-3102 https://doi.org/10.12011/1000-6788(2016)12-3092-11

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Funding

National Natural Science Foundation of China (71372107); Shanghai Planing Project of Philosophy and Social Science (2012BGL011)
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