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Local Partisan Biases in Allocations of Foreign Aid

A Study of Agricultural Assistance in India

Bibliographic Data

ID6409992
AuthorsBrian Min (0000-0002-4305-3677), Eugênio Arima (0000-0003-3366-4287), David Backer (0000-0002-3410-3126), Allen Hicken (0000-0002-3995-953X), Ken Kollman (0000-0003-2023-0092), Joel Selway (0000-0002-2754-0408)
Year2023
Volume75
Issue1
Pages43-98
Publication date2023-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueWorld Politics (JOURNAL)
Journal identifiersISSN: 0043-8871 • E-ISSN: 1086-3338
PublisherProject MUSE (PUBLISHER • US)
DOI10.1353/wp.2023.0000
OpenAlexW4313731174
LanguageEN
Citations received5

In principle, aid from donor organizations to developing countries should be based on need and the likelihood of positive impact, but political biases may intrude into decisions about aid allocations. This article elaborates a theory about why a particular form of bias, one based on partisan affiliations, can affect where aid goes and whether the goals of aid are met. Party networks can facilitate coordination of decisions and leverage bureaucratic capacity, but they can also ensure that resources, such as aid, stay in the control of copartisans to boost reelection goals. The empirical analysis evaluates whether partisan bias is evident in the locations and impact of World Bank agricultural aid to India. The authors analyze georeferenced data on aid projects, election results, and cropland coverage at the levels of state parliamentary electoral constituencies and administrative districts from 1995 to 2008. They find that alignment between local legislators and the political parties that govern state and national governments is associated with a greater number of new aid projects and with anomalous changes in cropland coverage. The evidence is consistent with arguments that partisan bias works primarily through patronage to achieve strategic party goals

Agriculture · Aid effectiveness · Bureaucracy · Business · Developing country · Development aid · Economic growth · Economics · Empirical evidence · Geography · Leverage (statistics · Political science · Politics · Public economics · State (computer science · International Development and Aid · Political Conflict and Governance · Social and Economic Development in India

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Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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