Theoretical and spatial limits to the value of rural environmental benefits: Evidence from the forestry sector

The valuation of environmental benefits has been well researched in the forestry sector. This is not generally the case in the agriculture sector although schemes to compensate farmers for provision of officially defined environmental benefits are already in place throughout the European Union. This paper draws on empirical findings from forestry and deductions from economic theory to challenge the notion of the universality of such benefits. Empirical findings from forestry suggest recreational use value is location specific rather than widely spread. Household utility theory predicts zero willingness to pay to maintain the status quo level of a previously unpaid for environmental benefit (when provision is not perceived as under risk) but a positive willingness to pay for an increase. Thus, non use values cannot be attributed to the major part of existing commercial forestry area but to spatially restricted schemes such as additional afforestation or preservation of ancient natural woodlands.

Improved conjugate gradient implementation for least squares support vector machines

As a promising method for pattern recognition and function estimation, least squares support vector machines (LS-SVM) express the training in terms of solving a linear system instead of a quadratic programming problem as for conventional support vector machines (SVM). In this paper, by using the information provided by the equality constraint, we transform the minimization problem with a single equality constraint in LS-SVM into an unconstrained minimization problem, then propose reduced formulations for LS-SVM. By introducing this transformation, the times of using conjugate gradient (CG) method, which is a greatly time-consuming step in obtaining the numerical solution, are reduced to one instead of two as proposed by Suykens et al. (1999). The comparison on computational speed of our method with the CG method proposed by Suykens et al. and the first order and second order SMO methods on several benchmark data sets shows a reduction of training time by up to 44%. (C) 2011 Elsevier B.V. All rights reserved.

A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models

The majority of reported learning methods for Takagi-Sugeno-Kang fuzzy neural models to date mainly focus on the improvement of their accuracy. However, one of the key design requirements in building an interpretable fuzzy model is that each obtained rule consequent must match well with the system local behaviour when all the rules are aggregated to produce the overall system output. This is one of the distinctive characteristics from black-box models such as neural networks. Therefore, how to find a desirable set of fuzzy partitions and, hence, to identify the corresponding consequent models which can be directly explained in terms of system behaviour presents a critical step in fuzzy neural modelling. In this paper, a new learning approach considering both nonlinear parameters in the rule premises and linear parameters in the rule consequents is proposed. Unlike the conventional two-stage optimization procedure widely practised in the field where the two sets of parameters are optimized separately, the consequent parameters are transformed into a dependent set on the premise parameters, thereby enabling the introduction of a new integrated gradient descent learning approach. A new Jacobian matrix is thus proposed and efficiently computed to achieve a more accurate approximation of the cost function by using the second-order Levenberg-Marquardt optimization method. Several other interpretability issues about the fuzzy neural model are also discussed and integrated into this new learning approach. Numerical examples are presented to illustrate the resultant structure of the fuzzy neural models and the effectiveness of the proposed new algorithm, and compared with the results from some well-known methods.

Ageing in changing community contexts: Cross-border perspectives from rural Ireland and Northern Ireland

Ongoing demographic, social, economic and cultural changes point to the dynamic and continually changing contexts of rural areas in Ireland and Northern Ireland. However, the influence of such changes on the lives of older people remains under-explored, particularly the question of how older people perceive, connect to and engage in their communities. Drawing on interviews and focus groups with indigenous and non-indigenous older people in three case-study sites in Ireland, Northern Ireland and a cross-border region, this article presents a comparative analysis of how changing community contexts have shaped the lives of rural-dwelling older people. The analysis focuses on four key areas: economic structure and service access; social relations and social cohesion; meanings and attachments; and community engagement. While the findings demonstrate that some dimensions of participants’ lives were affected by complex economic and social changes, others dimensions were connected in a more significant way to life course and residential history and the desire to maintain community capacity.

Pre-Retirement Age Migration to Remote Rural Areas

Recent literature suggests that the increasingly blurred relationship between paid employment and retirement facilitates a retirement transition period, a life course stage, which may involve a change of residence. The role of such pre-retirement age mobility in the repopulation of rural areas has, however, received relatively little academic scrutiny. This paper draws upon findings from a two-year study conducted in three UK case study areas. It examines the extent of pre-retirement age (aged 50–64) migration into remote rural communities and the impacts this type of movement has upon economic activity, social and community engagement and service provision. It is argued that while this under-researched cohort offers opportunities to support the social and economic sustainability of rural communities (at least in the short and medium term), there are notable challenges which are likely to emerge as it ages in situ. The findings are particularly relevant given national trends on population ageing.

The Emergence of Rural Support Organisations in the UK and Canada: Providing Support for Patrilineal Family Farming

A certain type of rural support has emerged since agricultural restructuring of the 1980s. The article draws on research from the UK and Canada to suggest that support in both countries is derived from a patrilineal culture that still dominates family farming in both countries. Such a way of life, it is argued, involves the majority of farming men and women across generations working increasingly hard to ensure farm survival in order to facilitate an overall pattern of farm succession via the male or ‘patrilineal’ line. The article begins by providing a conceptualisation of patrilineal family farming drawing on insights from gender-informed work on farming identities, political-economy approaches from agricultural geography and the cultural turn in rural studies. This section will provide theoretical direction for discussion of the research findings. Here the article presents a discussion of the context to and typologies of organisations that emerged and five key findings derived from research conducted with members of the organisations in the UK and Canada. This assists in developing the argument that the emergent organisations are responding to and supporting this way of life and highlights some of the potential implications of doing so. The article has two aims. Firstly, it suggests that family farming in the UK and Canada continues to be predominantly structured by a way of life transmitted across generations which has the overall prerequisite of maintaining farm survival to enable patrilineal succession. Secondly, it suggests that a particular type of support for farming families emerged as a response to perceived threats to this way of life and provides evidence of its enduring nature.