Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/18751
Title: | What's in a Name? Assessing the Performance of Local Government Classification Systems | Contributor(s): | Drew, Joseph (author) ; Dollery, Brian E (author) | Publication Date: | 2016 | DOI: | 10.1080/03003930.2015.1007132 | Handle Link: | https://hdl.handle.net/1959.11/18751 | Abstract: | Local government classification systems are employed in many countries for regulation, grant transfers and other public policy purposes. Given the pivotal role these classification systems play in public policy, their accuracy is a matter of some importance. Classification systems take several forms typically consisting of groupings of municipalities based on factors such as degree of urbanisation, population size and the like. However, to date none of these classification systems have been tested for homogeneity with respect to environmental constraints or validated against external data. This paper employs the classification system for New South Wales (NSW) local authorities as a representative case study to demonstrate that a wider range of external constraints should be considered for the robust classification of local councils. | Publication Type: | Journal Article | Source of Publication: | Local Government Studies, 42(2), p. 248-266 | Publisher: | Routledge | Place of Publication: | United Kingdom | ISSN: | 1743-9388 0300-3930 |
Fields of Research (FoR) 2008: | 160509 Public Administration | Fields of Research (FoR) 2020: | 440708 Public administration | Socio-Economic Objective (SEO) 2008: | 940204 Public Services Policy Advice and Analysis | Socio-Economic Objective (SEO) 2020: | 230204 Public services policy advice and analysis | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article UNE Business School |
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