Comparison of subsidy strategies on the green supply chain under a behaviour-based pricing model

被引:0
作者
Kanying Liu
Wei Li
Erbao Cao
Yong Lan
机构
[1] Hunan Agriculture University,School of Business
[2] Hunan University,School of Economics and Trade
[3] Hunan Key Laboratory of Logistics Information and Simulation Technology,undefined
来源
Soft Computing | 2022年 / 26卷
关键词
Behaviour-based pricing; Green supply chain; Green degree; Subsidy strategies;
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中图分类号
学科分类号
摘要
To explore the optimal government subsidy strategy for a green supply chain (GSC) under behaviour-based pricing (BBP), three types of GSC subsidy models under BBP are explored by using game theory, and the influence of different subsidy ratios and subsidy coefficients on pricing and greenness under BBP was analysed for the first time. Additionally, the effects of different strategies are compared. Our results reveal the following: First, when the subsidy is based on output or green degree, the proportion of green product retailers receiving subsidies has only a positive impact on the wholesale price of green products. Second, when the product R&D input cost is subsidized, the proportion of green product retailers receiving subsidies is negatively correlated with greenness, wholesale price, loyalty price, poaching price, market share of green products and GSC profit. Third, when the product R&D input cost is subsidized, the loyalty and poaching prices of green products always increase with an increase in the subsidy coefficient. However, when the subsidy is based on output or green degree, the loyalty and poaching prices of green products increase or decrease with the increased subsidy coefficient. A numerical case example shows that the optimal subsidy strategy of a GSC under a BBP is different from those of previous studies. Subsidies based on green degrees are the optimal strategy for green product retailers, green consumers and governments.
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页码:6789 / 6809
页数:20
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共 114 条
  • [1] Al-Janabi S(2020)A new method for prediction of air pollution based on intelligent computation Soft Comput 24 661-680
  • [2] Mohammad M(2020)An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy Soft Comput 24 10943-10962
  • [3] Al-Sultan A(2019)Transshipment contract for coordination of a green dual-channel supply chain under channel disruption J Clean Prod 223 596-609
  • [4] Al-Janabi S(2017)A mathematical model for green supply chain coordination with substitutable products J Clean Prod 145 232-249
  • [5] Alkaim AF(2014)Strategic loyalty reward in dynamic price discrimination Mark Sci 33 725-742
  • [6] Adel Z(2017)Pricing with cookies: Behavior-based price discrimination and spatial competition Manage Sci 64 5669-5687
  • [7] Aslani A(2017)Cartelization or cost-sharing? Comparison of cooperation modes in a green supply chain J Clean Prod 156 159-173
  • [8] Heydari J(2013)Information provision and behaviour-based price discrimination Inf Econ Policy 25 32-40
  • [9] Basiri Z(2016)Exploration externalities and government subsidies: the return to government Resour Policy 47 78-86
  • [10] Heydari J(2000)Customer poaching and brand switching Rand J Econ 31 634-657