Economics at your fingertips  

Coping with the ambiguities of poverty-alleviation programs and policies: a policy sciences approach

William Ascher ()
Additional contact information
William Ascher: Claremont McKenna College

Policy Sciences, 2023, vol. 56, issue 2, No 6, 325-354

Abstract: Abstract The many varieties of ambiguity shape the prospects in lower-income countries to establish viable poverty-alleviation programs, appropriately target the poor, and reduce deprivations of families applying for or participating in such programs. Ambiguity can be both a problem and an asset, potentially serving pro-poor purposes but often manipulable to drain benefits away from the poor. The distinctive functions of the decision process, as outlined in the classic policy sciences framework, are applied to cash transfers, pro-poor price subsidies, guaranteed unconditional employment, affirmative action, and resource access for the poor. The guidance for adapting these programs depends heavily on the appraisal function. This article contributes both the diagnosis of how ambiguity can undermine or contribute to the soundness of the poverty-alleviation program selection processes, and how to address these issues. It also demonstrates the utility of the classic policy sciences framework in identifying an extremely broad range of relevant considerations.

Keywords: Ambiguity; Developing countries; Policy sciences; Poverty alleviation programs (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to full text is restricted to subscribers.

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:

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11077/PS2

DOI: 10.1007/s11077-022-09486-y

Access Statistics for this article

Policy Sciences is currently edited by Michael Howlett

More articles in Policy Sciences from Springer, Society of Policy Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2023-11-13
Handle: RePEc:kap:policy:v:56:y:2023:i:2:d:10.1007_s11077-022-09486-y