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Measuring Efficiency in Local Government

An Analysis of New South Wales Municipalities' Domestic Waste Management Function

Bibliographic Data

ID6330438
AuthorsAndrew C Worthington (0000-0003-4113-9036, Queensland University of Technology), Brian Dollery (0000-0003-2760-865X, University of New England), Brian E Dollery
Year2001
Volume29
Issue2
Pages232-249
Publication date2001-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Studies Journal (JOURNAL)
Journal identifiersISSN: 0190-292X • E-ISSN: 1541-0072
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1541-0072.2001.tb02088.x
OpenAlexW2096779487
LanguageEN
Citations received22
References cited31

Data envelopment analysis is used to measure the technical and scale efficiency of the domestic waste management function in 103 New South Wales local governments. After allowance is made for nondiscretionary environmental factors that may affect the provision of these local public services, such as congestion and the inability to operate machinery in densely populated urban areas, comparison of efficiency across geographic/demographic criteria is made. The results suggest that, on average, waste management inputs could be reduced to just over 65% of the current level based upon observable best‐practice, while productivity losses due to scale effects account for slightly over 15% of total inputs. The results also indicate that inefficiency in urban developed councils is largely the result of congestion and other collection difficulties encountered in densely populated areas, while inefficiency in regional and rural councils stems from an inability to attain an optimal scale of operations

Allowance (engineering · Business · City management · Data envelopment analysis · Economic growth · Economics · Environmental planning · Function (biology · Geography · Government (linguistics · Inefficiency · Local government · Natural resource economics · Operations management · Productivity · Scale (ratio · Statistics · Efficiency Analysis Using DEA · Fiscal Policy and Economic Growth · Infrastructure Maintenance and Monitoring

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Unique citing works22
Citations per year1,57
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 22
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