Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer
This paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three di...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/7482080 |
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doaj-e429d8c2670c4706b795f38d213e7a242020-11-25T01:17:05ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/74820807482080Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse RetailerLiyan Wang0Minghai Ye1Shanshan Ma2Yipeng Sha3School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaSchool of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaThis paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three different structures, a centralized and two decentralized models, in which the upstream manufacturer and the downstream retailer act as the channel leader, respectively. This paper presents the optimal decisions for all supply chain members, analyzes the effects of green degree and risk-averse coefficient on the supply chain members’ decision-making and their profits, and performs the numerical analysis. The results show that the green degree and the whole supply chain’s expected profits are highest in the centralized scenario, followed by the retailer-led scenario, and lowest under the manufacturer-led scenario; the green degree and the manufacturer’s expected profit increase with the risk-averse coefficient, no matter who dominates the channel; however, the risk-averse coefficient’s effects on the retailer’s expected utility and the retail price depends on who dominates the channel and on the greening investment parameter.http://dx.doi.org/10.1155/2019/7482080 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liyan Wang Minghai Ye Shanshan Ma Yipeng Sha |
spellingShingle |
Liyan Wang Minghai Ye Shanshan Ma Yipeng Sha Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer Mathematical Problems in Engineering |
author_facet |
Liyan Wang Minghai Ye Shanshan Ma Yipeng Sha |
author_sort |
Liyan Wang |
title |
Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer |
title_short |
Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer |
title_full |
Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer |
title_fullStr |
Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer |
title_full_unstemmed |
Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer |
title_sort |
pricing and coordination strategy in a green supply chain with a risk-averse retailer |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2019-01-01 |
description |
This paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three different structures, a centralized and two decentralized models, in which the upstream manufacturer and the downstream retailer act as the channel leader, respectively. This paper presents the optimal decisions for all supply chain members, analyzes the effects of green degree and risk-averse coefficient on the supply chain members’ decision-making and their profits, and performs the numerical analysis. The results show that the green degree and the whole supply chain’s expected profits are highest in the centralized scenario, followed by the retailer-led scenario, and lowest under the manufacturer-led scenario; the green degree and the manufacturer’s expected profit increase with the risk-averse coefficient, no matter who dominates the channel; however, the risk-averse coefficient’s effects on the retailer’s expected utility and the retail price depends on who dominates the channel and on the greening investment parameter. |
url |
http://dx.doi.org/10.1155/2019/7482080 |
work_keys_str_mv |
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