Building public policy on shifting sands: the case of the National Asset Management Agency

Over the last thirty years, there has been an increased demand for better management of public sector organisations (PSOs). This requires that they are answerable for the inputs that they are given but also for what they achieve with these inputs (Hood 1991; Hood 1995). It is suggested that this will improve the management of the organisation through better planning and control, and the achievement of greater accountability (Smith 1995). However, such a rational approach with clear goals and the means to measure achievement can cause difficulties for many PSOs. These difficulties include the distinctive nature of the public sector due to the political environment within which the public sector manager operates (Stewart and Walsh 1992) and the fact that PSOs will have many stakeholders, each of whom will have their own specific objectives based on their own perspective (Boyle 1995). This can
result in goal ambiguity which means that there is leeway in interpreting the results of the PSO. The National Asset Management Agency (NAMA) was set up to bring stability to the financial system by buying loans from the banks (which were in most cases, non-performing loans). The intention was to cleanse the banks of these loans so that they could return to their normal business of taking deposits and making loans. However, the legislation, also gave NAMA a wide range of other responsibilities including responsibility for facilitating credit in the economy and protecting the interests of taxpayers. In more recent times, NAMA has been given responsibility for building social housing. This wide-range of activities is a clear example of a PSO being given multiple goals which may conflict and is therefore likely to lead to goal ambiguity. This makes it very difficult to evaluate NAMA’s performance as they are attempting to meet numerous goals at the same time and also highlights the complexity of policy making in the public sector. The purpose of this paper is to examine how NAMA dealt with goal ambiguity. This will be done through a thematic analysis of its annual reports over the last five years. The paper’s will contribute to the ongoing debate about the evaluation of PSOs and the complex environment within which they operate which makes evaluation difficult as they are
answerable to multiple stakeholders who have different objectives and different criteria for measuring success.

The Un-Politics of New Public Management in Ireland

Many of the principles and indeed the rhetoric of New Public Management proved attractive to both politicians and senior bureaucrats across the developed world as a remedy for problems in policy processes. Ireland shares many features of its constitutional structures and political practices with Britain, Canada, Australia, New Zealand, all of them early and enthusiastic adopters of NPM. Some of the organizational and procedural changes in Irish public administration do indeed bear similarities to those we would expect to see as a result of adopting principles of NPM. However, we contend that surface impressions are misleading. Drawing on a time-series database of Irish state institutions, we show that organizational changes were not necessarily driven by NPM. The absence of strong political drivers meant that reform initiatives did not fundamentally alter the configuration of the Irish public administration. Many of the problems that NPM was intended to address are only now coming under scrutiny.

Management of public water supply to reduce power cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

New Public Management: The Story Continues

New Public Management (NPM) has aroused significant interest amongst academe, policy makers and practitioners, since its first articulation in the seminal articles by Hood (1991 and 1995). However, in the 21st century, a body of opinion has developed which asserts that the NPM is passé. This paper seeks to determine the contemporary status of NPM in the context of the UK, one of the early adopters of NPM. Close inspection of UK Government policy underlines the importance of NPM ideas in the New Labour Government modernisation policy (1997-2010). Furthermore, the policy actions of the 2010–2015 UK Coalition Government reveal that the global financial crisis intensified the drive for NPM in the UK’s public sector. This discussion reveals no evidence in support of the demise of NPM.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.