题名 | Allocating scarce resources in the presence of private information and heterogeneous favoritism |
作者 | |
通讯作者 | Fan,Xiaoshuai |
发表日期 | 2023-07-01
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DOI | |
发表期刊 | |
ISSN | 1059-1478
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EISSN | 1937-5956
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卷号 | 32期号:7页码:2068-2086 |
摘要 | Motivated by the challenge of allocating scarce resources from the federal government to different states during the COVID-19 pandemic, this paper studies optimal schemes for allocating scarce resources to agents with private demand information under different favoritism structures. Through an investigation of a mechanism design model that aims to induce agents to report their demands truthfully, we find the following results. First, when the principal purely cares about social welfare and when the principal has sufficient resources to satisfy all agents' demands, we find that the optimal allocation scheme is efficient in the sense that it is identical to the optimal scheme for the “benchmark” case when favoritism differentials and information asymmetry are both absent. Second, when rationing is needed due to resource scarcity, we show that heterogeneity in “event-independent” favoritism across agents will cause the principal to allocate more resources to agents with larger favoritism and less resources to others, resulting in inefficient allocations. Third, when agents possess heterogeneous “event-specific” favoritism due to the existence of outside options, the resulting allocation may boost all agents' expected utilities, including those agents who do not have any outside option. Finally, we show that the “allocation distortion” caused by both information asymmetry and heterogeneous favoritism can be reduced when “positive externality” is present (i.e., allocating resources to one agent can benefit other agents). |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
; 通讯
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资助项目 | National Natural Science Foundation of China[NSFC 72101105];
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WOS研究方向 | Engineering
; Operations Research & Management Science
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WOS类目 | Engineering, Manufacturing
; Operations Research & Management Science
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WOS记录号 | WOS:000937743700001
|
出版者 | |
ESI学科分类 | ENGINEERING
|
Scopus记录号 | 2-s2.0-85148529123
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:5
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/559902 |
专题 | 商学院 |
作者单位 | 1.College of Business,Southern University of Science and Technology,Shenzhen,Guangdong,China 2.School of Business and Management,The Hong Kong University of Science and Technology,Kowloon,Hong Kong 3.UCLA Anderson School,Los Angeles,United States |
第一作者单位 | 商学院 |
通讯作者单位 | 商学院 |
第一作者的第一单位 | 商学院 |
推荐引用方式 GB/T 7714 |
Fan,Xiaoshuai,Chen,Ying Ju,Tang,Christopher S.. Allocating scarce resources in the presence of private information and heterogeneous favoritism[J]. Production and Operations Management,2023,32(7):2068-2086.
|
APA |
Fan,Xiaoshuai,Chen,Ying Ju,&Tang,Christopher S..(2023).Allocating scarce resources in the presence of private information and heterogeneous favoritism.Production and Operations Management,32(7),2068-2086.
|
MLA |
Fan,Xiaoshuai,et al."Allocating scarce resources in the presence of private information and heterogeneous favoritism".Production and Operations Management 32.7(2023):2068-2086.
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