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政府干预下具有风险规避零售商的绿色供应链的最优决策。

Optimal decisions for green supply chain with a risk-averse retailer under government intervention.

机构信息

School of Economics and Management, Tongji University, Shanghai, 200093, China.

Department of Information Management, National Chung Cheng University, Chiayi, 621301, Taiwan.

出版信息

Environ Sci Pollut Res Int. 2022 Oct;29(46):70014-70039. doi: 10.1007/s11356-022-20663-7. Epub 2022 May 18.

Abstract

This paper investigates the effects of the financial subsidy and product access policies on the performance of green supply chains (GSCs). Based on the game theory and preference theory, we study a green supply chain consisting of a risk-neutral manufacturer and a risk-averse retailer under government interventions from different power structures. The result reveals that green production can be effectively promoted only when product access exceeds a certain threshold. The Nash equilibrium game has the highest greenness and expected utility of GSC. It also shows that regardless of the market structure and government intervention policy, the retailer's risk aversion is positively correlated with the highest level of product access. Moreover, once effective product access is implemented, the retailer's risk aversion does not affect the optimal greenness of manufacturer production. Besides, compared with other intervention policies, the highest optimal product greenness exists in the scenario of financial subsidy with effective product access. The study suggests that the government needs to set certain green standards when implementing subsidy policies and promoting the risk aversion of retailers.

摘要

本文研究了财政补贴和产品准入政策对绿色供应链(GSCs)绩效的影响。基于博弈论和偏好理论,我们研究了一个由风险中性制造商和风险厌恶零售商组成的绿色供应链,该供应链受到不同权力结构的政府干预。研究结果表明,只有当产品准入超过一定门槛时,才能有效促进绿色生产。纳什均衡博弈具有最高的绿色度和 GSC 的预期效用。它还表明,无论市场结构和政府干预政策如何,零售商的风险厌恶程度与最高产品准入水平呈正相关。此外,一旦实施了有效的产品准入,零售商的风险厌恶程度就不会影响制造商生产的最优绿色度。此外,与其他干预政策相比,在实施有效产品准入的财政补贴方案中,最优产品绿色度最高。研究表明,政府在实施补贴政策和促进零售商的风险厌恶时,需要设定一定的绿色标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e67e/9115568/ba81ad803fbb/11356_2022_20663_Fig1_HTML.jpg

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