A Review of Demographic Ageing in the UK: Opportunities for Rural Research

Demographic ageing is a global phenomenon. UK policy and research have, until recently, focused on national trends and implications and largely viewed ageing as a 'pensions and care' problem. While other and more positive aspects are beginning to be acknowledged, regional, local, and rural impacts remain underinvestigated. This paper, by reviewing the literature from several disciplines and countries, introduces a series of research questions that could usefully inform future geographical inquiry. It argues that the nature, experiences, and consequences of demographic ageing will vary across space, stage in the life course and numerous aspects of our everyday lives. Our current knowledge and understanding are but the tip of the iceberg in terms of the research opportunities that lie ahead.

Social Inclusion or Market Competitiveness? A Comparison of Rural Development Policies in the European Union and the United States

The language of EU rural development policy appears more interested in social inclusion and that of US policy more interested in market competitiveness. We seek to determine why policies directed at rural development in the EU and the USA differ. In both contexts new rural development policies emphasize partnership and participation but we find local participation is used to promote social inclusion in the EU and market competitiveness in the USA. An examination of these dimensions illustrates important transcontinental differences and similarities in rural development policies. We explore the socio-historical reasons for differences in the commitment to social inclusion, while also noting similarities in the priority of market competitiveness.

Modelling attribute non-attendance in choice experiments for rural landscape valuation

Non-market effects of agriculture are often estimated using discrete choice models from stated preference surveys. In this context we propose two ways of modelling attribute non-attendance. The first involves constraining coefficients to zero in a latent class framework, whereas the second is based on stochastic attribute selection and grounded in Bayesian estimation. Their implications are explored in the context of a stated preference survey designed to value landscapes in Ireland. Taking account of attribute non-attendance with these data improves fit and tends to involve two attributes one of which is likely to be cost, thereby leading to substantive changes in derived welfare estimates.