Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 551

The DOI matches its Crossref record.

Government–nonprofit partnership: a defining framework

Open access
Brinkerhoff, Jennifer M.·2002·Public Administration and Development

Abstract

Partnership has emerged as an increasingly popular approach to privatization and government–nonprofit relations generally. While in principle it offers many advantages, there is no consensus on what it means and its practice varies. Following a review of partnership literature, the article refines the partnership concept, developing two definitional dimensions: mutuality and organization identity. Based on these dimensions, partnership is defined on a relative scale and is distinguished from other relationship types: contracting, extension, and co‐optation or gradual absorption. Examples of each are provided. The model enables actors to assess their relative tolerance for partnership approaches, and provides a common language among potential partners. Linking its defining dimensions to partnership's value‐added assists partners to advocate for partnership approaches from an instrumental as well as normative perspective. The model and inter‐organizational relationship matrix can inform continuing theory building and practical experimentation both to refine defining dimensions and indicators of partnership practice, and to enhance responsiveness to partners' expectations of partnership. Copyright © 2002 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/pad.203

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 551

Metadata

Authors
Brinkerhoff, J. M.
Venue
Public Administration and Development
Publisher
Wiley
Published
2002-02
Volume
22
Issue
1
Pages
19-30
ISSN
  • 0271-2075 (ISSN-L)
  • 1099-162X
OpenAlex
W1980985030
Cited by
551
References
0
FWCI
21.84
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Government–nonprofit partnership: a defining framework. https://app.cochat.ai/papers/10.1002/pad.203
The paper
Brinkerhoff, J. M. (2002). Government–nonprofit partnership: a defining framework. Public Administration and Development. https://doi.org/10.1002/pad.203

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.