The DOI matches its Crossref record.
Public-Private Partnerships: The Trojan Horse of Neoliberal Development?
Abstract
This article concerns the equity dimension of partnerships between disadvantaged communities and local governments and private sector firms to provide basic services and amenities. It examines the necessary conditions for fulfilling the expectation that such partnerships can serve the interests of the poor and the critical role of state in intervention to level the playing field for such a partnership. In the context of decentralizing third world governments, the article highlights conceptual inconsistencies underlying public-private partnerships that lead them to deliver results opposite to those they claim. The article points to the ambivalent and even deceptive core of such partnerships that enables their effective operation as a form of privatization, advancing the interests of the private sector and the market under the banner of sharing power with the poor and the state.
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Citations
Cited by
In the name of Development: Power, profit and the datafication of the global South
Taylor, L., & Broeders, D. (2015) · Geoforum · doi:10.1016/j.geoforum.2015.07.002 · Cited by 269
Sharma, H. (2025) · Journal of Public Policy · doi:10.1017/s0143814x24000205 · Cited by 10
Metadata
- Authors
- Miraftab, F.
- Venue
- Journal of Planning Education and Research
- Publisher
- SAGE Publications
- Published
- 2004-09
- Volume
- 24
- Issue
- 1
- Pages
- 89-101
- ISSN
- 0739-456X (ISSN-L)
- 1552-6577
- OpenAlex
- W2148904955
- Cited by
- 342
- References
- 0
- FWCI
- 27.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Miraftab, F. (2004). Public-Private Partnerships: The Trojan Horse of Neoliberal Development? Journal of Planning Education and Research. https://doi.org/10.1177/0739456x04267173
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.