Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling

Policy makers in the European Union are envisioning the introduction of a community farm animal welfare label which would allow consumers to align their consumption habits with their farm animal welfare preferences. For welfare labelling to be viable the market for livestock products produced to higher welfare standards has to be sufficiently segmented with consumers having sufficiently distinct and behaviourally consistent preferences. The present study investigates consumers’ preferences for meat produced to different welfare standards using a hypothetical welfare score. Data is obtained from a contingent valuation study carried out in Britain. The ordered probit model was estimated using Bayesian inference to obtain mean willingness to pay. We find decreasing marginal WTP as animal welfare levels increase and that people’s preferences for different levels of farm animal welfare are sufficiently differentiated making the introduction of a labelling scheme in the form of a certified rating system appear feasible.

Building networks to work: an ethnographic study of informal routes into the UK construction industry and pathways for migrant up-skilling

The UK construction industry labour market is characterised by high levels of self-employment, sub-contracting, informality and flexibility. A corollary of this, and a sign of the increasing globalisation of construction, has been an increasing reliance on migrant labour, particularly that from the Eastern European Accession states. Yet, little is known about how their experiences within and outside of work shape their work in the construction sector. In this context better qualitative understandings of the social and communication networks through which migrant workers gain employment, create routes through the sector and develop their role/career are needed. We draw on two examples from a short-term ethnographic study of migrant construction worker employment experiences and practices in the town of Crewe in Cheshire, UK, to demonstrate how informal networks intersect with formal elements of the sector to facilitate both recruitment and up-skilling. Such research knowledge, we argue, offers new evidence of the importance of attending to migrant worker’s own experiences in the development of more transparent recruitment processes.

Defining children's rights to work and care in Sub-Saharan Africa: tensions and challenges in policy and practice

This chapter explores the spatialities of children's rights through a focus on how children's paid and unpaid work in Sub-Saharan Africa intersects with wider debates about child labor, child domestic work and young caregiving. Several tensions surround the universalist and individualistic nature of the rights discourse in the context of Sub-Saharan Africa and policymakers, practitioners, children and community members have emphasized children's responsibilities to their families and communities, as well as their rights. The limitations of ILO definitions of child labor and child domestic work and UNCRC concerns about 'hazardous' and 'harmful' work are highlighted through examining the situation of children providing unpaid domestic and care support to family members in the private space of their own or a relative's home. Differing perspectives towards young caregiving have been adopted to date by policymakers and practitioners in East Africa, ranging from a child labor/ child protection/ abolitionist approach, to a 'young carers'/ child-centered rights perspective. These differing perspectives influence the level and nature of support and resources that children involved in care work may be able to access. A contextual, multi-sectorial approach to young caregiving is needed that seeks to understand children's, family members' and community members' perceptions of what constitutes inappropriate caring responsibilities within particular cultural contexts and how these should best be alleviated.

Putting theory to work: the use of theory in construction research

Attention to epistemology, theory use and citation practices are all issues which distinguish academic disciplines from other ways of knowing. Examples from construction research are used to outline and reflect on these issues. In doing so, the discussion provides an introduction to some key issues in social research as well as a reflection on the current state of construction research as a field. More specifically, differences between positivist and interpretivist epistemologies, the role of theory in each and their use by construction researchers are discussed. Philosophical differences are illustrated by appeal to two published construction research articles by Reichstein et al. and Harty on innovation (Reichstein, Salter and Gann, 2005; Harty, 2008). An analysis of citations for each highlights different cumulativity strategies. The potential contribution of mixed research programmes, combining positivist and interpretivist research, is evaluated. The paper should be of interest to early researchers and to scholars concerned with the ongoing development of construction research as an academic field.

From warfare to welfare: veterans, military charities and the blurred spatiality of post-service welfare in the United Kingdom

The military offers a form of welfare-for-work but when personnel leave they lose this safety net, a loss exacerbated by the rollback neoliberalism of the contemporary welfare state. Increasingly the third sector has stepped in to address veterans’ welfare needs through operating within and across military/civilian and state/market/community spaces and cultures. In this paper we use both veterans’ and military charities’ experiences to analyse the complex politics that govern the liminal boundary zone of post-military welfare. Through exploring ‘crossing’ and ‘bridging’ we conceptualise military charities as ‘boundary subjects’, active yet dependent on the continuation of the civilian-military binary, and argue that the latter is better understood as a multidirectional, multiscalar and contextual continuum. Post-military welfare emerges as a competitive, confused and confusing assemblage that needs to be made more navigable in order to better support the ‘heroic poor’.

Forgotten children: work-family reconciliation in the EU

At the core of this article is a discussion of how, why and with what implications, considerations of children’s needs are missing from the EU’s work-family reconciliation framework. Part I demonstrates how the EU has failed to properly identify, let alone acknowledge or promote, children’s interests in relation to work-family reconciliation. An examination of relevant legislation and case law shows how children are ‘missing’ from this policy area, which has huge implications for their day to day lives. Part II then considers the reasons behind, and consequences of, this reluctance to engage with children’s interests in reconciliation laws and shows how children’s well-being could be better incorporated into relevant policies and within the jurisprudence of the Court of Justice. This section highlights, for example, how the EU has been willing and able to promote children’s interests in other legal fields and suggests that changes in the Treaty, post Lisbon, offer a means to improve the current approach.

Assessment of the impact of government animal welfare policy on farm animal welfare in the UK

The paper presents the method and findings of a Delphi expert survey to assess the impact of UK government farm animal welfare policy, form assurance schemes and major food retailer specifications on the welfare of animals on forms. Two case-study livestock production systems are considered, dairy and cage egg production. The method identifies how well the various standards perform in terms of their effects on a number of key farm animal welfare variables, and provides estimates of the impact of the three types of standard on the welfare of animals on forms, taking account of producer compliance. The study highlights that there remains considerable scope for government policy, together with form assurance schemes, to improve the welfare of form animals by introducing standards that address key factors affecting animal welfare and by increasing compliance of livestock producers. There is a need for more comprehensive, regular and random surveys of on-farm welfare to monitor compliance with welfare standards (legislation and welfare codes) and the welfare of farm animals over time, and a need to collect farm data on the costs of compliance with standards.

Extending Zelterman’s approach for robust estimation of population size to zero-truncated clustered data

Estimation of population size with missing zero-class is an important problem that is encountered in epidemiological assessment studies. Fitting a Poisson model to the observed data by the method of maximum likelihood and estimation of the population size based on this fit is an approach that has been widely used for this purpose. In practice, however, the Poisson assumption is seldom satisfied. Zelterman (1988) has proposed a robust estimator for unclustered data that works well in a wide class of distributions applicable for count data. In the work presented here, we extend this estimator to clustered data. The estimator requires fitting a zero-truncated homogeneous Poisson model by maximum likelihood and thereby using a Horvitz-Thompson estimator of population size. This was found to work well, when the data follow the hypothesized homogeneous Poisson model. However, when the true distribution deviates from the hypothesized model, the population size was found to be underestimated. In the search of a more robust estimator, we focused on three models that use all clusters with exactly one case, those clusters with exactly two cases and those with exactly three cases to estimate the probability of the zero-class and thereby use data collected on all the clusters in the Horvitz-Thompson estimator of population size. Loss in efficiency associated with gain in robustness was examined based on a simulation study. As a trade-off between gain in robustness and loss in efficiency, the model that uses data collected on clusters with at most three cases to estimate the probability of the zero-class was found to be preferred in general. In applications, we recommend obtaining estimates from all three models and making a choice considering the estimates from the three models, robustness and the loss in efficiency. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)