Can Needs‐Based Grants Improve Local Transit Performance? Varying Effects by Level of Control
Obed Pasha and
Theodore H. Poister
Public Budgeting & Finance, 2020, vol. 40, issue 2, 3-19
Abstract:
Needs‐based grant programs are budgeting systems that tie grant dollars to the needs of the grantees as determined by objective indicators. Although performance improvement is not an explicit goal of such grants, the associated awards could work as incentives for grantees to meet the grant criteria. In other words, grantees seek to improve their performance to fulfill the criteria, even though the grant‐makers intend such grants to support the existing operational needs of the grantees. This study tests these assertions in the context of the small transit intensive cities (STIC) grant that was established as a needs‐based grant system by the federal government to support small local transit agencies operating with unusually high service demands. This study argues that these systems would have a stronger impact on indicators over which grantees have more control. This study tests these assertions using a difference‐in‐differences analysis of 290 transit agencies over 17 years. The findings show that STIC is effective in improving grantee performance, at least on the indicators which are more amenable to control.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/pbaf.12252
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:bla:pbudge:v:40:y:2020:i:2:p:3-19
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0275-1100
Access Statistics for this article
Public Budgeting & Finance is currently edited by Philip Joyce and William Simonsen
More articles in Public Budgeting & Finance from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().