A vast empirical literature has investigated economies of scale in local service provision, especially in water and waste management. By contrast, the question of scale economies in local government administration has attracted much less attention, especially in Australian local government. To address this gap in the Australian empirical literature, we investigated administrative scale economies in the New South Wales (NSW) local government system for rural, regional, and urban local authorities over the period 2014/15 to 2017/18. We find that total municipal population and municipal staff exhibit a U‐shaped relationship with the total administration costs of urban councils in NSW. However, we find no economies of scale for administrative intensity in rural and regional councils in NSW. Related Articles Ertas, Nevbahar. 2015. “Policy Narratives and Public Opinion Concerning Charter Schools.” Politics & Policy 43(3): 426–51. http://onlinelibrary.wiley.com/doi/10.1111/polp.12120/full. Wallis, Joe, Tor Brodtkorb, Brian Dollery, and Muiris MacCarthaigh. 2017. “Local Government Reform: Expressed Leadership Identities of Commissioners in Inquiries Proposing Municipal Mergers in Northern Ireland and New South Wales.” Politics & Policy 45(2): 285–308. https://doi.org/10.1111/polp.12199. Miragliotta, Narelle, Sarah Murray, and Martin Drum. 2021. “Values, Partisan Interest, and the Voting Age: Lessons from Australia.” Politics & Policy 49(5): 1192–215. https://doi.org/10.1111/polp.12413.

The vocational education and training (VET) sector plays a crucial role in Australia’s education system. Associated closely between the VET provision and industry, VET training quality is continually at the heart of debates in the process of implementing the Australian VET reform agenda. In response of key themes of this reform process, investigating the training efficiency of VET through the linked efficiency between teaching and industry responsiveness is imperative. The paper aims to address this objective by using the dynamic network data envelopment analysis in a balanced panel data for 2008–2012. This advanced model allows to assess simultaneously the efficiency of two nodes, teaching and industry responsiveness, and the overall dynamic training efficiency of VET based on fields of education in a network structure. We found that the overall training efficiency of VET is, on average, 0.835 while the mean divisional efficiencies of the teaching efficiency and industry responsiveness are 0.763 and 0.908, respectively. Sensitivity analysis is conducted to examine dynamic changes of the efficiency of the teaching and industry linkage following various period weights. Policy implications are drawn for the Australian VET sector.