Abstract
In view of the difficulty, high cost and complex technology of pharmaceutical logistics green transformation, based on the idea of green supply chain, three different government subsidy strategies for green logistics were proposed. Firstly, by constructing a Stackelberg game model with pharmaceutical logistics provider as the leader and manufacturer as the followers, the behavior selection and optimal decisions of the participants under the anarchic subsidy strategy, the single subsidy strategy of the pharmaceutical logistics provider, the single subsidy strategy of the pharmaceutical manufacturer and the coordinated subsidy strategy are analyzed respectively. Furthermore, the effects of different subsidy strategies on the green investment and strategy selection of logistics provider and manufacturer are compared. Finally, according to the research results, the paper provides reference and suggestions for the formulation of government subsidy strategy. The results show that the three subsidy strategies have different degrees of incentive effect on the green transformation of pharmaceutical logistics, and the single logistics provider subsidy strategy is the best.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Algorithms
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Computer Simulation
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Conservation of Natural Resources* / economics
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Decision Making
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Drug Industry* / economics
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Financing, Government
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Green Chemistry Technology / economics
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Humans
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Pharmaceutical Preparations / economics
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Research
Substances
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Pharmaceutical Preparations
Grants and funding
This work was supported in part by the Ministry of Education Humanities and Social Science Research Youth Fund Project under Grant 18YJCZH060, and in part by the Project supported by Shenyang Science and Technology Talent Project in 2020 under Grant RC200498, and in part by the Project supported by Natural Science Foundation of Liaoning Province under Grant 2020-MS-194, and in part by the Project supported by Key Project of Education Department of Liaoning Province under Grant 2019WZD02, and in part by the Project supported by Young and middle aged teachers' career development support program of Shenyang Pharmaceutical University under Grant ZQN2018010, and in part by the Project supported by the Special Fund of National Medical Products Administration Drug Regulatory Scientific Research Base - Drug Regulatory Science Research Institute of Shenyang Pharmaceutical University under Grant 2020jgkx004. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.