税收激励下分散供应链中研发投资的优化与协调

IF 5.2 3区 管理学 Q1 BUSINESS
Wei Xiao;Jiangming Gao;Hong Fu;Ruiyuan Wei
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引用次数: 0

摘要

为了提高企业的研发投资积极性,各国政府纷纷出台了一系列税收优惠政策,如超级税收抵扣政策(STD-policy)、所得税优惠政策(PIT-policy)等。本文考虑了一个分散的供应链,其中供应商进行研发活动以提高其产品的质量,然后将其出售给面临价格和质量敏感需求的零售商。本文分析了两种税收激励下供应链参与者的研发投资策略和相应的定价决策。有趣的是,我们发现两种税收优惠并不总能提高供应商的研发投资积极性。此外,由于批发价格在计算两家公司的税后利润总额时可能无法抵消,因此pit政策的存在对协调提出了技术挑战。我们开发了一个具有三个参数的协调机制,该机制具有足够的灵活性,可以实现双方的帕累托改进。我们还分别考虑了产品质量持续、协同研发投入、市场随机需求和供应商资本约束等因素,对模型进行了扩展,得到了一些有用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing and Coordinating R&D Investment in a Decentralized Supply Chain Under Tax Incentives
To improve firms’ enthusiasm for R&D investment, governments worldwide have implemented a series of tax incentives, such as the Super Tax Deduction policy (STD-policy), and the Preferential Income Tax policy (PIT-policy). This article considers a decentralized supply chain, where a supplier conducts R&D activity to improve the quality of its product and then sells it to a retailer who faces a price and quality sensitive demand. We analyze the R&D investment strategy and the corresponding pricing decisions of supply chain players under the two tax incentives. Interestingly, we show that the two tax incentives can not always improve the R&D investment enthusiasm of the supplier. Furthermore, the existence of the PIT-policy poses a technical challenge for coordination, as the wholesale price may not be offset when calculating the total after-tax profits of the two players. We develop a coordination mechanism with three parameters, which has sufficient flexibility to achieve Pareto improvement for both players. We also extend the model by considering continuous product quality, collaborative R&D investment, stochastic market demand, capital-constrained supplier, respectively, and obtain some useful insights.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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