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.

Commodification of retirement and the emergence of rural gated communities: The associated challenges for rural planning

Abstract:
This paper combines demographic ageing and retirement lifestyles with rural in-migration processes and suggests the emergence of a specific rural form of gated community; namely, park homes. All year round or permanent (as opposed to seasonal) residential mobile homes (resembling detached bungalows in design and appearance) are commonly referred to as 'park homes'. With a growing proportion of the UK population aged 65 and over, combined with increasing longevity, meeting the residential preferences and lifestyle aspirations of an ageing population is potentially 'big business' for the private sector. Park home living, with their resident age restrictions (normally 50 years and over), is increasingly marketed as a retirement option in rural and coastal locations of the UK. However, many areas are often remote with declining populations and limited community services. Operators have sought to tap into retiree aspirations for a 'place in the country' and 'sell' the concept of park home living as a specific form of housing, community and lifestyle. Park homes are frequently marketed as a means to release equity from the sale of a large family home to fund a retirement lifestyle and as friendly communities of like-minded people, always willing to lend support or provide assistance if required. The physical and social composition of such sites represent a form of rural gated community. This paper seeks to identify the rural planning issues which emerge from such developments and asks: who are moving to park home sites and why? do park homes provide those who otherwise could not afford a 'place in the country' the option of rural living? does park home living live-up to residents' expectations of the rural idyll or retirement lifestyle? do they give rise to issues of gentrification and geriatrification of the countryside? what are the prospects for residents to 'age in place'? might ageing residents become financially trapped in such developments giving rise to park ghettoization? what are the associated challenges for rural policy-makers and public service providers?

Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands

The application of custom classification techniques and posterior probability modeling (PPM) using Worldview-2 multispectral imagery to archaeological field survey is presented in this paper. Research is focused on the identification of Neolithic felsite stone tool workshops in the North Mavine region of the Shetland Islands in Northern Scotland. Sample data from known workshops surveyed using differential GPS are used alongside known non-sites to train a linear discriminant analysis (LDA) classifier based on a combination of datasets including Worldview-2 bands, band difference ratios (BDR) and topographical derivatives. Principal components analysis is further used to test and reduce dimensionality caused by redundant datasets. Probability models were generated by LDA using principal components and tested with sites identified through geological field survey. Testing shows the prospective ability of this technique and significance between 0.05 and 0.01, and gain statistics between 0.90 and 0.94, higher than those obtained using maximum likelihood and random forest classifiers. Results suggest that this approach is best suited to relatively homogenous site types, and performs better with correlated data sources. Finally, by combining posterior probability models and least-cost analysis, a survey least-cost efficacy model is generated showing the utility of such approaches to archaeological field survey.