Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Configurations of new public management reforms and the efficiency, effectiveness and equity of public healthcare systems: a fuzzy-set qualitative comparative analysis

Andrews, Rhys, Beynon, Malcolm and McDermott, Aoife 2019. Configurations of new public management reforms and the efficiency, effectiveness and equity of public healthcare systems: a fuzzy-set qualitative comparative analysis. Public Management Review 21 (8) , pp. 1236-1260. 10.1080/14719037.2018.1561927
Item availability restricted.

[img] PDF - Accepted Post-Print Version
Restricted to Repository staff only until 8 July 2020 due to copyright restrictions.

Download (1MB)

Abstract

Fuzzy-set Qualitative Comparative Analysis identifies configurations of New Public Management (NPM) reforms (privatization, consumerism, performance management, and corporatization) associated with perceptions of improvements in healthcare efficiency, effectiveness and equity in 14 European countries. Although these outcomes are pursued concurrently, no combination of the considered reforms appears to support success or failure across the board and the inter-relations between reforms shape their effects. Three NPM reform profiles are evident in Europe; (1) strong reformers, adopting a comprehensive package of reforms that are perceived to perform better than (2) partial reformers, with (3) limited reformers also doing better than partial reformers.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Taylor & Francis
ISSN: 1471-9037
Date of First Compliant Deposit: 23 November 2018
Date of Acceptance: 22 November 2018
Last Modified: 04 Jul 2019 13:15
URI: http://orca-mwe.cf.ac.uk/id/eprint/117040

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics