What’s in a Name? Assessing the Performance of Local Government Classification Systems

Drew, J; Dollery, B

What’s in a Name? Assessing the Performance of Local Government Classification Systems

Drew, J

Dollery, B

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Publication Type:: Journal Article
Citation:: Local Government Studies, 2016, 42 (2), pp. 248 - 266
Issue Date:: 2016-03-03

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Field	Value	Language
dc.contributor.author	Drew, J https://orcid.org/0000-0003-3579-5758	en_US
dc.contributor.author	Dollery, B	en_US
dc.date.issued	2016-03-03	en_US
dc.identifier.citation	Local Government Studies, 2016, 42 (2), pp. 248 - 266	en_US
dc.identifier.issn	0300-3930	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41798
dc.description.abstract	© 2015 Taylor & Francis. 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.	en_US
dc.relation.ispartof	Local Government Studies	en_US
dc.relation.isbasedon	10.1080/03003930.2015.1007132	en_US
dc.subject.classification	Political Science & Public Administration	en_US
dc.title	What’s in a Name? Assessing the Performance of Local Government Classification Systems	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	42	en_US
utslib.for	1605 Policy and Administration	en_US
utslib.for	1205 Urban and Regional Planning	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1606 Political Science	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/lnstitute for Public Policy and Governance
pubs.organisational-group	/University of Technology Sydney/Strength - IPPG - Institute for Public Policy and Governance
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	42	en_US

Abstract:

© 2015 Taylor & Francis. 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.

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http://hdl.handle.net/10453/41798