Did the Big Stick Work? An Empirical Assessment of Scale Economies and the Queensland Forced Amalgamation Program

In 2007, the Queensland Government imposed forced amalgamation with the number of local authorities falling from 157 to just 73 councils. Amalgamation was based inter alia on the assumption that increased economies of scale would generate savings. This paper empirically examines pre- and post-amalgamation (2006/07 and 2009/10) for scale economies. For the 2006/07 data, evidence of economies of scale was found for councils with populations up to 98,000, and thereafter diseconomies of scale. Eight percent of councils in 2006/07 (ten councils) – representing 64% of the state’s population – exhibited diseconomies of scale. For the 2009/10 data, the average cost curve remained almost stationary at 99,000 residents per council, but almost 25% of all councils (thirteen councils) were now found to exhibit diseconomies of scale. The compulsory merger program thus increased the proportion of Queensland residents in councils operating with diseconomies of scale to 84%.     

Municipal Mergers in New Zealand: An Empirical Analysis of the Proposed Amalgamation of Hawke’s Bay Councils

Local government policymakers across the developed world have frequently employed municipal amalgamation to improve the operation of local councils, and New Zealand is no exception. This paper empirically examines claims made in Potential Costs and Savings of Local Government Reform in Hawke’s Bay that the merger of the five local authorities in the Hawke’s Bay Region of New Zealand would generate significant cost-savings. We empirically test for the existence of scale economies in a single merged Hawke’s Bay council and find that no cost-savings can be expected. This removes a key argument for a forced Hawke’s Bay amalgamation.     

Does Size Still Matter? An Empirical Analysis of the Effectiveness of Victorian Local Authorities

Efficiency approaches to the question of whether population size matters to optimal local government have proved largely inconclusive. However, recent exploratory empirical work employing an effectiveness approach – as proxied by citizen satisfaction survey data – offers a promising way forward. The present paper seeks to build upon an earlier cross-sectional analysis of Victorian local government by employing longitudinal data over a three-year period – 2008 to 2010 – for Victorian local authorities. The greater depth of data confirmed the positive associations with population density but suggests that negative linear relationships dominate over parabolic associations for population size. This result underlines the need for the collection of more local government citizen satisfaction data by Australian local government systems, given its potentially fruitful application in tackling contentious questions in contemporary local government policy debates.     

Long-Term Risks and Possible Benefits Associated with Late Adolescent Romantic Relationship Quality

Adolescent romantic relationships have the potential to affect psychological functioning well into adulthood. This study assessed adolescent romantic relationship qualities as long-term predictors of psychological functioning utilizing a longitudinal multi-method, multi-informant study of 80 participants (59% female; 54% Caucasian, 35% African American, 11% mixed or other race) assessed at age 17 along with their romantic partners and at ages 25–27. Controlling for gender, family income, and baseline mental health, partner-reported hostile conflict at age 17 predicted relative increases in internalizing behaviors from age 17 to 27. In contrast, observed teen support with their partner during a help-seeking task at age 17 predicted relative decreases in externalizing behaviors over time. The results are interpreted as suggesting qualities that may help determine whether adolescent romances have positive vs. negative long-term psychological health implications.     

A New Measure of Policy Spending Priorities in the American States

In this paper, we develop and test a general measure of policyexpenditures in the American states. Our approach is to constructa spatial proximity model of yearly state program spending.The empirical analysis reveals that state spending patternsvary along a clear and readily-interpretable unidimensionalcontinuum which differentiates policies that provide particularizedbenefits to needy constituencies from policies that providebroader collective goods. Based upon standard evaluative criteria,the variable created from our model possesses some highly desirablecharacteristics. And, it compares favorably to other measuresof state policy activity. The net result is a yearly score foreach state which summarizes that state's spending across allmajor program areas. More generally, we believe that our variablecan be interpreted as valid and reliable representational measurementof state policy priorities. In this capacity, it could occupyan important position within models of state politics. Author's note: Many colleagues provided useful feedback on earlierversions of this paper. We particularly appreciate the excellentcomments and suggestions from Robert Erikson, Richard Fording,Kim Hill, David Lowery, Andrea McAtee, and George Rabinowitz.We would also like to thank Daniel Lewis and William Myers fortheir assistance with the data collection. The yearly statepolicy priority scores obtained from the unfolding analysis,along with the data used to create the scores, the SAS macroto carry out the unfolding procedure, and all other supplemental materialsare available on the authors’ web sites: http://polisci.msu.edu/jacobyand http://polisci.msu.edu/schneider. All these materials arealso available on the Political Analysis Web site.