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Cited by 466

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The cartel of good intentions: The problem of bureaucracy in foreign aid

Open access
Easterly, William·2002·The Journal of Policy Reform

Abstract

Well-meaning national and international bureaucracies dispense foreign aid under conditions in which bureaucracy fails. The environment that created aid bureaucracies led those organizations to (a) define their output as money disbursed rather than service delivered, (b) produce many low-return observable outputs (glossy reports and "frameworks") and few high-return less observable activities like ex - post evaluation, (c) engage in obfuscation, spin control, and amnesia (always describing aid efforts as "new and improved") exhibiting little learning from the past, (d) put enormous demands on scarce administrative skills in poor countries. To change this unhappy equilibrium, policymakers in rich and poor countries should experiment with decentralized markets, matching those who want to help the poor with the poor themselves freely expressing their needs and aspirations.

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Crossref · 10.1080/1384128032000096823

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Metadata

Authors
Easterly, W.
Venue
The Journal of Policy Reform
Published
2002-12
Volume
5
Issue
4
Pages
223-250
ISSN
  • 1384-1289 (ISSN-L)
  • 1477-2736
OpenAlex
W1991265073
Cited by
466
References
3
FWCI
41.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The cartel of good intentions: The problem of bureaucracy in foreign aid. https://app.cochat.ai/papers/10.1080/1384128032000096823
The paper
Easterly, W. (2002). The cartel of good intentions: The problem of bureaucracy in foreign aid. The Journal of Policy Reform. https://doi.org/10.1080/1384128032000096823

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.