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政府补贴下考虑制造商过度自信的绿色供应链融资决策研究

戴剑勇 唐倩倩 张澳 龚尚卿

南华大学学报(社会科学版)2025,Vol.26Issue(1):74-83,10.
南华大学学报(社会科学版)2025,Vol.26Issue(1):74-83,10.DOI:10.13967/j.cnki.nhxb.2025.0009

政府补贴下考虑制造商过度自信的绿色供应链融资决策研究

Research on Financing Decision of Green Supply Chain Considering Manufacturer's Overconfidence Under Government Subsidies

戴剑勇 1唐倩倩 1张澳 1龚尚卿1

作者信息

  • 1. 南华大学 经济管理与法学学院,湖南 衡阳 421001
  • 折叠

摘要

Abstract

Under government subsidy,targeting the green supply chain formed by manufacturers with limited capital and banks,this paper studies the pricing and financing decision making of overconfident manufacturers in regards to the green supply chain.By creating a Stackelberg model dominated by banks and followed by overconfident manufacturers,this paper explores the supply chain op-eration decision under the government's green credit policy and direct subsidy to manufacturers.Futhermore,the influence of overconfi-dence on the equilibrium decision of banks and manufacturers is analyzed.Results demonstrate that,excluding market demand and bank profit,the optimal decision and profit value under government subsidy are greater than that of green credit.Under the two scenari-os,the difference between the degree of product greenness,market demand and bank profit increases with the increase of overconfi-dence level regarding the manufactures,while the difference between bank interest rate,selling price and manufacturers'profit decrea-ses with the increase of overconfidence level.When the total amount of government subsidies is low,manufacturers'profits under the green credit mechanism are higher than those under the direct subsidy mechanism.When the total amount of government subsidy is greater than a certain threshold,the direct subsidy mechanism is superior to the green credit mechanism.

关键词

过度自信/绿色供应链/绿色信贷/政府补贴/Stackelberg模型

Key words

overconfidence/green supply chain/green credit/government subsidies/Stackelberg model

分类

管理科学

引用本文复制引用

戴剑勇,唐倩倩,张澳,龚尚卿..政府补贴下考虑制造商过度自信的绿色供应链融资决策研究[J].南华大学学报(社会科学版),2025,26(1):74-83,10.

基金项目

湖南省教育厅重点资助科研项目"复杂网络上铀矿山通风降氡系统最优控制研究"资助(编号:18A235) (编号:18A235)

南华大学学报(社会科学版)

1673-0755

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