政府补贴下应急医疗物资政企协议储备决策研究

doi:10.16381/j.cnki.issn1003-207x.2020.2437

Abstract

Abstract:

As the COVID-19 has spreaded globally since last year， all countries suffered severely. China took active responses to the disease when it first appeared， and first-level responses to public health emergencies have been initiated across the country. However， for a long time， the government’s emergency medical supplies reserve couldn’t meet the huge demand after the outbreak. It exposed our country’s weaknesses that we are inexperienced in managing emergency medical supplies reserve. For now， there are three main problems. Fristly， the major department of the reserve is government， while society and enterprises rarely participate in. Secondly， there are few forms of reserves， most of them are physical reserves， and production capacity reserves takes a small portion. Thirdly， the enthusiasm of enterprises participating in normalized emergency medical supplies reserve is not high due to the lack of government incentives. Therefore， in order to improve our country’s emergency medical supplies reserve system， besides government’s own reserves， the government should also entrust enterprises to reserve both physical and production capacity. At the same time， government should provide subsidies to the agreement enterprises， in order to encourage them to keep the production lines， what kind of reserve form the agreement enterprise should choose and how government subsidies will affect their reserve decisions have become the urgent problems. This article focuses on agreement enterprises which provide emergency medical supplies reserve， supposing that government subsidizes their production capacity reserve. Aiming at maximizing the benefits of the agreement enterprises and considering the actual probability of the outbreak of the epidemic， a model of coordination between physical reserve and production capacity reserve of agreement enterprises is constructed and the government-led Stackelberg game theory is used to solve it. The optimal strategy of reserve in different situations is given based on the analysis about the impact of government subsidies， the probability of outbreaks， and agreed purchase prices on the optimal reserve decision of agreement enterprises. Finally， combining the realistic background， the conclusions are verified by calculation examples. The specific research results obtained are as follows. Fristly， the agreement enterprises will choose not to cooperate with government for its own interests when the probability of outbreaks or the amount of government subsidies is low. Secondly， the agreement enterprises will choose to cooperate with government when the probability of outbreaks is high， and they will decide whether to choose a single or a mixed reserve form in view of the combined influence of the agreed purchase price， the probability of outbreaks， and government subsidies. The problem of emergency medical supplies reserve of agreement enterprises is studied， and a scientific guidance and basis for the cooperation between government and enterprises is provided to carry out them. In the future， the government can be the main body of research to discuss its pricing decisions and subsidy strategies.

Key words: government subsidies, emergency medical supplies, physical reserves, production capacity reserves, probability of outbreak

CLC Number:

F252.3

Jie WEI,Ying-ying ZHENG,Chang LIU,Rui ZHANG. Research on the Decision-making of Emergency Eedical Supplies under Government-Subsidized Government-Enterprise Agreement Reserve[J]. Chinese Journal of Management Science, 2023, 31(11): 1-11.

Figures/Tables 7

变量符号	符号说明	变量符号	符号说明
$x$	某种应急医疗物资的随机需求量	$F (x)$	需求 $x$ 的概率分布函数
$Q$	应急医疗物资的实物储备量	$q$	应急医疗物资的生产能力储备量
$C p r$	实物储备形式下单位产品生产成本以及储备成本	$C p c$	生产能力储备形式下单位原材料储备成本及生产线建造维护成本
$v$	实物储备形式下单位产品剩余价值	$r$	生产能力储备形式下单位原材料剩余价值
$p a$	政府与企业协议采购价格	$p m$	单位物资现货市场采购价格
$p b$	实物储备和生产能力储备均衡价格	$W 0$	政府给予企业的单位物资补贴
$s$	政府补贴上限	$m$	紧急加工成本
$α$	疫情发生概率	$U$	企业生产能力约束

储备决策	最优实物储备量（ $Q *$ ）	最优生产能力储备量（ $q *$ ）
①	$0$	$0$
②	$F - 1 (1 - v - C p r α (v - p a))$	$0$
③	$0$	$F - 1 [1 - r - C p c + W 0 α (r - p a + m)]$
④	$F - 1 [1 - v - r + C p c - W 0 - C p r α (v - m - r)]$	$F - 1 [1 - r - C p c + W 0 α (r - p a + m) + v - r + C p c - W 0 - C p r α (v - m - r)]$

协议采购价格（ $p a$ ）	疫情发生概率（ $α$ ）	政府补贴（ $W 0$ ）	决策类型	情形
$C p c + m < p a ≤$ $s v + m C p r + r C p r - m v - C p c v s + C p r - v - C p c + r$	$0 < α ≤ C p r - v p a - v$	$0 ≤ W 0 ≤ s$	①	1
	$C p r - v p a - v < α < 1$	$0 ≤ W 0 ≤ s$	②	2
$s v + m C p r + r C p r - m v - C p c v s + C p r - v - C p c + r <$ $p a ≤ m C p r + r C p r - m v - C p c v C p r - v - C p c + r$	$0 < α ≤ C p c - r - s p a - m - r$	$0 ≤ W 0 ≤ s$	①	3
	$C p c - r - s p a - m - r < α ≤ C p r - v p a - v$	$0 ≤ W 0 ≤ α (r - p a + m) + C p c - r$	①	4
	$C p c - r - s p a - m - r < α ≤ C p r - v p a - v$	$α (r - p a + m) + C p c - r < W 0 ≤ s$	$③$	5
	$C p r - v p a - v < α ≤$ $C p r - C p c + r - v + s r + m - v$	$0 ≤ W 0 ≤$ $C p r (r + m) - v (m + C p c) - p a (r + C p r - C p c - v) p a - v$	$②$	6
		$C p r (r + m) - v (m + C p c) - p a (r + C p r - C p c - v) p a - v <$ $W 0 ≤ α (r + m - v) - C p r + C p c - r + v$	④	7
		$α (r + m - v) - C p r + C p c - r + v < W 0 ≤ s$	$③$	8
	$C p r - C p c + r - v + s r + m - v < α < 1$	$0 ≤ W 0 ≤$ $C p r (r + m) - v (m + C p c) - p a (r + C p r - C p c - v) p a - v$	$②$	9
	$C p r - C p c + r - v + s r + m - v < α < 1$	$C p r (r + m) - v (m + C p c) - p a (r + C p r - C p c - v) p a - v <$ $W 0 ≤ s$	④	10
$m C p r + r C p r - m v - C p c v C p r - v - C p c + r <$ $p a < p m$	$0 < α ≤ C p c - r - s p a - m - r$	$0 ≤ W 0 ≤ s$	①	11
	$C p c - r - s p a - m - r < α ≤ C p c - r p a - m - r$	$0 ≤ W 0 ≤ α (r - p a + m) + C p c - r$	①	12
	$C p c - r - s p a - m - r < α ≤ C p c - r p a - m - r$	$α (r - p a + m) + C p c - r < W 0 ≤ s$	$③$	13
	$C p c - r p a - m - r < α ≤$ $C p r - C p c + r - v r + m - v$	$0 ≤ W 0 ≤ s$	$③$	14
	$C p r - C p c + r - v r + m - v < α ≤$ $C p r - C p c + r - v + s r + m - v$	$0 ≤ W 0 ≤ α (r + m - v) - C p r + C p c - r + v$	④	15
		$α (r + m - v) - C p r + C p c - r + v < W 0 ≤ s$	$③$	16
	$C p r - C p c + r - v + s r + m - v < α < 1$	$0 ≤ W 0 ≤ s$	④	17

协议采购价格（ $p a$ ）	疫情发生概率（ $α$ ）	政府补贴（ $W 0$ ）	实物储备量（ $Q *$ ）	生产能力储备量（ $q *$ ）
$p a = 85$	$0 < α ≤ 0.545$	$0 ≤ W 0 ≤ 5$
$p a = 85$	$0.545 < α < 1$	$0 ≤ W 0 ≤ 5$

协议采购价格（ $p a$ ）	疫情发生概率（ $α$ ）	政府补贴（ $W 0$ ）
$p a = 115$	$0 < α ≤ 0.273$	$0 ≤ W 0 ≤ 5$
	$0.273 < α ≤ 0.353$
	$0.353 < α ≤ 0.5$
	$0.5 < α < 1$

协议采购价格（ $p a$ ）	疫情发生概率（ $α$ ）	政府补贴（ $W 0$ ）
$p a = 140$	$0 < α ≤ 0.188$	$0 ≤ W 0 ≤ 5$
	$0.188 < α ≤ 0.25$
	$0.25 < α ≤ 0.333$
	$0.333 < α ≤ 0.5$
	$0.5 < α < 1$

References 18

1	张永领.中国政府应急物资的储备模式研究［J］.经济与管理，2011，25（2）：92-96.
	Zhang Yongling. The study on emergency material reserve model of Chinese government［J］. Economy and Management， 2011，25（2）：92-96.
2	宋劲松，刘杰.我国大规模传染病应急产品产能储备研究［J］.南京社会科学，2020（3）：28-36.
	Song Jinsong， Liu Jie. Research on capacity reserve of emergency products for large-scale infectious diseases in China ［J］. Nanjing Journal of Social Sciences，2020（3）：28-36.
3	张红.我国应急物资储备制度的完善［J］.中国行政管理，2009（3）：44-47.
	Zhang Hong. Improvement of emergency materials reserves system in China［J］.Chinese Public Administration，2009（3）：44-47.
4	Whybark D C. Issues in managing disaster relief inventories［J］. International journal of production economics， 2007， 108（1-2）： 228-235.
5	孙翊，吴静，刘昌新，等.加快推进我国应急物资储备治理体系现代化建设［J］.中国科学院院刊，2020，35（6）：724-731.
	Sun Yi， Wu Jing， Liu Changxin， et al. Accelerating construction of innovative country to promote modernization of China’s emergency supplies reserve system［J］.Bulletin of Chinese Academy of Sciences，2020，35（6）：724-731.
6	Balcik B， Beamon B M， Krejci C C， et al. Coordination in humanitarian relief chains： practices， challenges and opportunities［J］. International Journal of production economics， 2010， 126（1）： 22-34.
7	Zhang Jianghua， Sun Xiaoqing， Zhu Rui， et al. Solving an emergency rescue materials problem under the joint reserves mode of government and frameworkagreement suppliers.［J］.PlOS ONE，2017，12（10）：1-20.
8	任慧，王东宇.基于云服务的考虑预期调配的应急物资储备策略［J］.中国管理科学，2020，28（3）：31-39.
	Ren Hui， Wang Dongyu. Emergency materials reserve strategies considering expected redeployment based on cloud services［J］. Chinese Journal of Management Science，2020，28（3）：31-39.
9	董骏峰，肖娇，梁昌勇，等.基于模块化的多层级储备库应急物资储备模型［J］.中国安全科学学报，2018，28（11）：182-188.
	Dong Junfeng， Xiao Jiao， Liang Changyong， et al. Model for multi-tiered repositories emergency supplies reserves based on modularization［J］. China Safety Science Journal，2018，28（11）：182-188.
10	张自立，李向阳，张紫琼.基于生产能力共同储备的政府和企业应急经费规划模型［J］.管理工程学报，2011，25（1）：56-61.
	Zhang Zili， Li Xiangyang， Zhang Ziqiong. Emergency fund planning model based on associated production capacity reserve of the government and enterprises［J］. Journal of Industrial Engineering and Engineering Management，2011，25（1）：56-61.
11	Balcik B， Ak D. Supplier selection for framework agreements in humanitarian relief［J］.Production and Operations Management，2014，23（6）：1028-1041.
12	刘阳，田军，冯耕中，等.考虑补贴约束的应急设备储备系统激励模型［J］.系统工程理论与实践，2019，39（9）：2330-2344.
	Liu Yang， Tian Jun， Feng Gengzhong， et al. Study on incentive model of emergency equipment reservation system considering government’s subsidy［J］. Systems Engineering-Theory & Practice，2019，39（9）：2330-2344.
13	扈衷权，田军，冯耕中.基于看跌期权契约的应急物资采购储备模型［J］.中国管理科学，2020，28（2）：69-79.
	Hu Zhongquan， Tian Jun， Feng Gengzhong. A procurement and reserve model of emergency supplies based on put option contracts［J］. Chinese Journal of Management Science， 2020，28（2）：69-79.
14	陈涛，黄钧，张玲.协议企业实物储备、生产能力储备模式的协调性研究［J］.中国管理科学，2013，21（5）：149-156.
	Chen Tao， Huang Jun， Zhang Ling. Research on coordination of the enterprises in-kind agreement physical reserves and production capacity reserves mode. Chinese Journal of Management Science，2013，21（5）：149-156.
15	王珂，吴丽瑶.不确定需求下应急物资实物与生产能力混合储备决策分析［J］.工业安全与环保，2018，44（3）：34-38.
	Wang Ke， Wu Liyao. Decision analysis for emergency supplies reserves based on mixed mode of physical and production capacity reserves under uncertain demand［J］. Industrial Safety and Environmental Protection，2018，44（3）：34-38.
16	Liang Liang， Wang Xihui， Gao Jianguo. An option contract pricing model of relief material supply chain. Omega， 2012， 40（5）：594-600.
17	扈衷权，田军，冯耕中，等.协议企业代储模式下应急物资储备策略及采购定价研究［J］.系统工程理论与实践，2020，40（3）：605-616.
	Hu Zhongquan， Tian Jun， Feng Gengzhong， et al. Research on emergency supplies reserve strategy and procurement pricing under agreement enterprise reserve.［J］ Systems Engineering-Theory & Practice， 2020，40（3）：605-616.
18	陈业华，史开菊.突发事件灾前应急物资政企联合储备模式［J］.系统工程，2014，32（2）：84-90.
	Chen Yehua， Shi Kaiju. Emergency materials reserve mode based on government and manufacture joint before emergencies［J］. Systems Engineering，2014，32（2）：84-90.

[1]	Zongyu Mu,Xiaoxia Yang,Ke Li,Guitao Zhang. Online Assisting Farmers Mode and Financing Strategy of Smart Platform Supply Chain [J]. Chinese Journal of Management Science, 2024, 32(8): 170-181.
[2]	Nan Xie,Haitao He,Yanju Zhou,Zongrun Wang. Research on Supply Chain Financial Decision Based on the Analysis of Central Government Project Subsidy under the Background of Rural Revitalization Subsidy [J]. Chinese Journal of Management Science, 2024, 32(8): 214-229.
[3]	Wenbin Wang,Ye Liu,Shiyuan Quan,Luosheng Zhong,Jia Lv. Research on Government Subsidy Model of Dual-sales Channel Closed-loop Supply Chain [J]. Chinese Journal of Management Science, 2024, 32(7): 258-269.
[4]	Yanchun Pan,Xiaochen Ma. Green Technology Selection and Product Pricing Research under C＆T and Government Subsidies [J]. Chinese Journal of Management Science, 2024, 32(2): 99-107.
[5]	Xiaoyang Zhou,Zhangzhang Li,Ying Liu,Fan Zhao,Gengzhong Feng,Shouyang Wang. Tripartite Cooperation Evolutionary Strategy of Industrial Internet Platform, Developer and Enterprise: The Role of Government Subsidies and Revenue Sharing [J]. Chinese Journal of Management Science, 2024, 32(1): 276-287.
[6]	FENG Hua, QIU Yu-ru, HUANG Yu, TANG Zi-xuan. The Impact of Different Government Subsidy Models on the Elderly Care Service Market [J]. Chinese Journal of Management Science, 2023, 31(9): 266-277.
[7]	Ying SUN,Hui-ping LIU,Rui YAN,Qun ZHANG. Equilibrium Optimization of the Supply Chain of Emergency Medical Supplies Based on Resilience and Social Welfare [J]. Chinese Journal of Management Science, 2023, 31(8): 132-141.
[8]	GAN Liu, LI Qun-chi. Research on R&D Project Investment Decision and Optimal Government Subsidies [J]. Chinese Journal of Management Science, 2023, 31(2): 63-72.
[9]	Fu-an ZHANG,Na LI,Qing-li DA,Wen-bin WANG. Research on Low-Carbon Emission Reduction in a Closed-loop Supply Chain with Multiple Demands under Two Subsidy Policies [J]. Chinese Journal of Management Science, 2023, 31(10): 116-127.
[10]	YANG Xiao-hui, YOU Da-ming. Research on Enterprises Green Technology Innovation Decisions-Under the Perceptive of Consumer Environmental Awareness and Government Subsidies [J]. Chinese Journal of Management Science, 2022, 30(9): 263-274.
[11]	SUN Cai-hong, LI Xiao-yi, YU Hui. Strategy Selection of Government Subsidy Exit in Global Bidirectional Supply Chain [J]. Chinese Journal of Management Science, 2022, 30(11): 127-136.
[12]	HAI Jiang-tao, LI Xu. Government's Optimal Subsidiesduring the Adoption of Green Products under Uncertain Demand [J]. Chinese Journal of Management Science, 2021, 29(5): 180-189.
[13]	ZHAO Xiao-min, MENG Xiao-xiao. Evolutionary Game Decision between Manufacturer and Remanufacturer in the Authorization Mode [J]. Chinese Journal of Management Science, 2021, 29(2): 129-136.
[14]	LIN Zhi-bing, BAO Lei. Research about the Effects of CSR on Supply Chain Emission Reduction Decision-making and Government Subsidy Efficiency [J]. Chinese Journal of Management Science, 2021, 29(11): 111-121.
[15]	CAO Yu, ZHOU Mo-ting, HU Han-li. Secondary Supply Chain Optimization with Social Responsibility Sensitive Consumption under Government Subsidy [J]. Chinese Journal of Management Science, 2020, 28(5): 101-111.

Research on the Decision-making of Emergency Eedical Supplies under Government-Subsidized Government-Enterprise Agreement Reserve

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 18

Related Articles 15

Metrics

Comments

Recommended 0