globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR1617
报告号: RR-1617-ESRC
报告题名:
Managing the Principal Agent Problem in Bolsa Familia: A look at contextual factors that affect the quality of implementation
作者: Christian van Stolk; Sunil Patil
出版者: RAND Corporation
出版年: 2016
发表日期: 2016
总页数: 45
国家: 美国
语种: 英语
英文关键词: Economic Development ; Social Services and Welfare ; Personal Finance ; Public Sector Governance ; Brazil ; Poverty
英文摘要: Bolsa Familia (BF) is a conditional cash transfer programme introduced in 2003 in Brazil. This report aims to understand the principal agent problem in BF. We do this by running three generalised linear models to find associations between contextual factors such as capacity of agents against outcome measures related to the quality of the provision of services such as the quality of registries. Our findings suggest that those implementing services must have a clear incentive in the programme either through the provision of support under the programme or through the accountability process. Smaller municipalities and those with poorer constituencies tend to have more accurate registries. Health and education services seem to have less incentive to operate in BF as they have no electoral incentive or receive support under BF. Finally, our models show that more integration between BF and health and education services is associated with better reported implementation.
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR1600/RR1617/RAND_RR1617.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/27013
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
RAND_RR1617.pdf(236KB)研究报告--开放获取View Download

Recommended Citation:
Christian van Stolk,Sunil Patil. Managing the Principal Agent Problem in Bolsa Familia: A look at contextual factors that affect the quality of implementation. 2016-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Christian van Stolk]'s Articles
[Sunil Patil]'s Articles
百度学术
Similar articles in Baidu Scholar
[Christian van Stolk]'s Articles
[Sunil Patil]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Christian van Stolk]‘s Articles
[Sunil Patil]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: RAND_RR1617.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.