Both carbon tax and cap-and-trade regulations as carbon emissions reduction schemes are widely adopted and implemented in practice. Based on the dual sourcing newsvendor framework, this paper proposes two distributionally robust newsvendor models under those two carbon regulations. The optimal order quantity and carbon emissions of each model are derived by using a maximin expected profit method, and comparisons of the profits between the models with and without carbon emission regulations are provided. It is observed that the carbon tax regulation will lead to a lower profit while adjusting the value of carbon cap leads to comparable profits between the model under cap-and-trade regulation and that without carbon emission consideration. Finally, several numerical examples are presented to illustrate the analytical results and the models developed herein. (C) 2016 Elsevier Ltd. All rights reserved.
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Hong Kong Polytech Univ, Business Div, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Business Div, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Dong, Ciwei
Shen, Bin
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Donghua Univ, Sch Glorious Sun Business & Management, Shanghai 200051, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Shen, Bin
Chow, Pui-Sze
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Hong Kong Polytech Univ, Inst Text & Clothing, Business Div, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Chow, Pui-Sze
Yang, Liu
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Univ Int Business & Econ, Sch Business, Beijing 100029, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Yang, Liu
Ng, Chi To
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Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Polytech Univ, Business Div, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Business Div, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Dong, Ciwei
Shen, Bin
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h-index: 0
机构:
Donghua Univ, Sch Glorious Sun Business & Management, Shanghai 200051, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Shen, Bin
Chow, Pui-Sze
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h-index: 0
机构:
Hong Kong Polytech Univ, Inst Text & Clothing, Business Div, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Chow, Pui-Sze
Yang, Liu
论文数: 0引用数: 0
h-index: 0
机构:
Univ Int Business & Econ, Sch Business, Beijing 100029, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
Yang, Liu
Ng, Chi To
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China