Methods for comparing policies using multiple criteria: an urban example

This paper looks at a variety of methods that can be used in evaluating a set of alternate policies using multiple criteria. The methods examined are the structural mapping of indifferences, utility values, lexicographic ordering, factor analysis, concordance analysis and multidimension scaling. Each method is tested using hypothetical data for a problem in which alternative policies are proposed for allocating monies to housing and health projects in a town. The aim is to try to reveal as objectively as possible, a set of preferred alternatives from which one can be chosen in the political decision-making process. After describing and testing the methods individually, they are compared both on the basis of their results and on the principles involved in their approach. Conclusions about the validity of each method are given, and it is emphasized that all methods should only be used as aids in the choice of an optimal policy.     

Quantifying uncertainty in the biospheric carbon flux for England and Wales

Summary.  A crucial issue in the current global warming debate is the effect of vegetation and soils on carbon dioxide (CO₂) concentrations in the atmosphere. Vegetation can extract CO₂ through photosynthesis, but respiration, decay of soil organic matter and disturbance effects such as fire return it to the atmosphere. The balance of these processes is the net carbon flux. To estimate the biospheric carbon flux for England and Wales, we address the statistical problem of inference for the sum of multiple outputs from a complex deterministic computer code whose input parameters are uncertain. The code is a process model which simulates the carbon dynamics of vegetation and soils, including the amount of carbon that is stored as a result of photosynthesis and the amount that is returned to the atmosphere through respiration. The aggregation of outputs corresponding to multiple sites and types of vegetation in a region gives an estimate of the total carbon flux for that region over a period of time. Expert prior opinions are elicited for marginal uncertainty about the relevant input parameters and for correlations of inputs between sites. A Gaussian process model is used to build emulators of the multiple code outputs and Bayesian uncertainty analysis is then used to propagate uncertainty in the input parameters through to uncertainty on the aggregated output. Numerical results are presented for England and Wales in the year 2000. It is estimated that vegetation and soils in England and Wales constituted a net sink of 7.55 Mt C (1 Mt C = 10¹² g of carbon) in 2000, with standard deviation 0.56 Mt C resulting from the sources of uncertainty that are considered.     

Digital-alchemical morphology: space,vision and illusion at King’s Lynn Mart fair

This paper examines a hybrid mix of visual and spatial illusions commonly articulated on the British travelling funfair. The paper responds to, and extends, Stephen Walker’s 2018 book The Fair-Line and Good Frontage which presents a study of the fairground premised on the construction of illusion. Taking as a case study the long-standing funfair at King’s Lynn, Norfolk, I use archival research, observation and interview to examine the visual methods and spatial arrangements of this particular fair to understand its longevity of meaningfulness and social occasion. Visual methods articulate the distinguishing of the fairground space, its demarcation from the town that it occupies, and the navigation of the fairground space in terms of both physical flow and perceptual engagement. Drawing on Google Street View and Map as common ways of visually navigating and increasing understanding our spaces of inhabitation and interaction, I argue for a fairground ‘way of seeing’ within these tools as we interrogate the space of King’s Lynn. Extending further to reference the complex work of cinematic photographer Jeff Wall, the paper proposes a digital-alchemical assemblage of visual strategies and positions the funfair as an exemplar of the morphology of visual engagement and manipulation.     

Authoritarian neoliberalism: trajectories of knowledge production and praxis

ABSTRACT

This introduction to the special issue takes as its point of departure three centres of gravity that have shaped the study of neoliberalism but have also established barriers to further progress in these debates. By promoting an intersectional materialist research agenda which challenges extant ideational, modernist and empiricist tendencies in scholarship on neoliberalism, the essay contextualizes the special issue articles by outlining and clarifying key aspects of our understanding of authoritarian neoliberalism. In particular, we reflect on themes related to conceptualization and periodization, which are of importance for both this special issue but also for broader questions of knowledge production and praxis. Through doing so, we argue that there are two distinct yet connected trajectories within the research agenda on authoritarian neoliberalism: one which focuses on the intertwinement of authoritarian statisms and neoliberal reforms; and another which traces various lineages of transformation of key societal sites in capitalism (e.g. states, households, workplaces, urban spaces). Recognition of this spectrum of authoritarian neoliberal practices is important as it helps us uncover how inequalities of power are produced and reproduced in capitalist societies, and pushes us to consider more fully how other worlds can be made possible. Nevertheless, it is affirmed that we must remain open to what an emancipatory society might look like, and what struggles would be most appropriate, in and across various socio-spatial contexts.     

Bodies of Knowledge: Beyond Cartesian Views of Persons, Selves and Mind

In this piece, I argue against the Cartesian trend of seeing persons, selves and mind as something distinct from the body. It is claimed that Descartes realized the importance of the link between body and mind, but never pursued this connection, and this then becomes the aim of the paper. Another effect of Cartesian modes of thinking is to divorce human knowledge from its material contexts, driving a wedge between mind and matter. Some forms of social constructionism appear to fall into this latter trap and instead I argue for a view of persons as embodied beings whose selves are intimately connected to the body. Using the work of Bourdieu, Elias, Merleau-Ponty, and Ilyenkov, I also suggest that thought cannot be disengaged from a human body active in its world and that knowledge not only partly separates us from the materiality of existence, but connects us to it in deeper ways, as another dimension of human existence. Human beings can then be regarded as bodies of knowledge – active thinkers and persons engaged with the multi-dimensional world around them and capable of producing change.     

Should we expect commitment?

And I, who felt my head surrounded by horrors, Said: Master, what then is it that I am hearing? And what people are these, so crushed by pain?     

Nonparametric Engel Curves and Revealed Preference

This paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference. The tightest bounds on indifference surfaces and welfare measures are derived using an algorithm for which revealed preference conditions are shown to guarantee convergence. Nonparametric Engel curves are used to estimate expansion paths and provide a stochastic structure within which to examine the consistency of household level data and revealed preference theory. An application is made to a long time series of repeated cross–sections from the Family Expenditure Survey for Britain. The consistency of these data with revealed preference theory is examined. For periods of consistency with revealed preference, tight bounds are placed on true cost of living indices.