Social Risk of Public Spending Cuts in Scotland: Local Authority Experiences

This paper relates to work supported by the Joseph Rowntree Foundation which examines the way Scottish Local Authorities have approached budget cuts (Asenova, et. al., 2013). Starting with a discussion of notions of social risk, we discuss the heightened challenges faced by local authorities. We note that the literature on public sector innovation predict such pressures would cause local authorities to engage in short term decision making and adopt a static coping approach to risk mitigation which is likely to stifle innovation and obstruct the creation of more coherent and resilient localities. Although we find this to have happened in some areas, we discuss two cases where these challenges have promoted innovative and inclusive approaches to service re-design and delivery.

Joined-up government in Ireland:From un-strategic choices to patriotic imperatives

Over the last decade, joined-up government has assumed a prominent place in the study and practice of public management. In this article, drawing on the Irish case we adopt an institutionalist approach to the issue of joining-up government and bureaucratic reform. We explore how the period of sustained and rapid economic growth in Ireland during the 1990s was also characterised by a fragmentation of the public service and proliferation of agencies. Subsequently, as a consequence of the sharp contraction in public spending brought about by the global financial crisis, we find an accelerated process of public sector recentralisation, retrenchment and de-agencification. Much of this is occurring in an unplanned manner but under the generic banner of 'joining up' government. We identify the drivers behind these dynamics and how they have manifested themselves, as well as the changes to politicaladministrative relationships brought about by new initiatives, the power imbalances they expose, and ultimately their consequences on public service delivery. © Taylor & Francis Group, LLC.

'If we do not cut social spending, we will end up like Greece': Challenging consent to austerity through social work action

'If we do not cut social spending, we will end up like Greece'. Establishment politicians and media figures use this new ideological mantra throughout the Western world to frighten people into consenting to further neo-liberal restructuring along with cuts in social spending. This phrase and other ideologically laden assertions hide the real causes of the Greek public debt crisis. This commentary challenges the dominant discourse by contextualizing the Greek case within the larger global neo-liberal restructuring processes and then, drawing upon Gramsci's concept of the organic intellectual, proposes ways that the members of the Professional Association of Social Workers (PASW) can engage in a war of ideas and action, as organic intellectuals, to delegitimize the dominant discourse, which seeks consent for social spending cuts and further neo-liberal restructuring of society. © The Author(s) 2013.

Optimal Scheduling Methods to Integrate Plug-In Electric Vehicles with the Power System: A Review

The introduction of the Tesla in 2008 has demonstrated to the public of the potential of electric vehicles in terms of reducing fuel consumption and green-house gas from the transport sector. It has brought electric vehicles back into the spotlight worldwide at a moment when fossil fuel prices were reaching unexpected high due to increased demand and strong economic growth. The energy storage capabilities from of fleets of electric vehicles as well as the potentially random discharging and charging offers challenges to the grid in terms of operation and control. Optimal scheduling strategies are key to integrating large numbers of electric vehicles and the smart grid. In this paper, state-of-the-art optimization methods are reviewed on scheduling strategies for the grid integration with electric vehicles. The paper starts with a concise introduction to analytical charging strategies, followed by a review of a number of classical numerical optimization methods, including linear programming, non-linear programming, dynamic programming as well as some other means such as queuing theory. Meta-heuristic techniques are then discussed to deal with the complex, high-dimensional and multi-objective scheduling problem associated with stochastic charging and discharging of electric vehicles. Finally, future research directions are suggested.