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Title: Incorporating contextual information in public sector efficiency analyses: A comparative study of NSW local government
Contributor(s): Worthington, Andrew (author); Dollery, Brian Edward (author)
Publication Date: 2002
DOI: 10.1080/00036840110044171
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Abstract: Using the planning and regulatory function of one hundred and seventy-three NSW local governments, several approaches for incorporating contextual or non discretionary inputs in data envelopment analysis (DEA) are compared. Non Discretionary inputs (or factors beyond managerial control) in this context include the population growth rate and distribution, the level of development and nonresidential building activity, and the proportion of the population from a non-English speaking background. The approaches selected to incorporate these variables include discretionary inputs only, non discretionary and discretionary inputs treated alike and differently, categorical inputs, 'adjusted' DEA, and 'endogenous' DEA. The results indicate that the efficiency scores of the five approaches that incorporated non discretionary factors were significantly positively correlated. However, it was also established that the distributions of the efficiency scores and the number of councils assessed as perfectly technically efficient in the six approaches also varied significantly across the sample.
Publication Type: Journal Article
Source of Publication: Applied Economics, 34(4), p. 453-464
Publisher: Routledge
Place of Publication: United Kingdom
ISSN: 1466-4283
Field of Research (FOR): 140213 Public Economics- Public Choice
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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