The hierarchy of public governance: resource allocation versus bureaucratic inefficiency
Susheng Wang () and
Jun Xiao
Additional contact information
Susheng Wang: Shanghai University
Jun Xiao: University of Melbourne
Review of Economic Design, 2024, vol. 28, issue 2, No 6, 434 pages
Abstract:
Abstract Should a social program be run at a higher or lower level of government? We consider a government-run program supplying a private good to consumers. We focus on a tradeoff between the advantage of a high level of government in resource allocation and its disadvantage in consumer information. We look into the effect of differences in income levels, marginal costs, and preferences on the organization of public governance. One general conclusion is that when regional differences are large, the central government should be in charge; otherwise, local governments should be in charge.
Keywords: Public governance; Government hierarchy; Resource allocation; Bureaucratic inefficiency (search for similar items in EconPapers)
JEL-codes: H1 H4 H7 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10058-023-00344-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:reecde:v:28:y:2024:i:2:d:10.1007_s10058-023-00344-8
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10058
DOI: 10.1007/s10058-023-00344-8
Access Statistics for this article
Review of Economic Design is currently edited by Atila Abdulkadiroglu, Fuhito Kojima and Tilman Börgers
More articles in Review of Economic Design from Springer, Society for Economic Design
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().