“Right to the City” and the Structure of Civic Organizational Fields: Evidence from Cape Town

This article proposes a network analytic approach to the role of frames in shaping the structure of civic organizational fields. Adopting a perspective from the global South, it looks at the impact of the expression “Right to the city” (RTC) over alliance building among civil society actors, exploring patterns of collaborative ties among 129 civil society organizations active in Cape Town from 2012 to 2014. The article addresses two broad questions: What is the relation between RTC and other frames that are also frequently invoked to describe urban struggles and issues? Does the RTC frame affect the structure of urban civic organizational fields in significant ways? Data suggest that while RTC plays a significant role in local civil society, it is neither the only interpretative frame that Capetonian civic organizations draw upon to characterize their activity, nor the more salient. “Urban conservation,” especially tied to nature conservation and environmental issues, actually shapes the structure of local organizational fields in a sharper manner. This is, however, a potentially more divisive frame, rooted as it is in the apartheid legacy that still shapes urban dynamics in the city.     

Lean in Swedish agriculture: strategic and operational perspectives

The purpose of this article is to present and test a framework for lean implementation in the agricultural sector, addressing challenges from an operational and strategical perspective. The article builds on the previous literature on the use of Lean and reports empirical data from a lean implementation project in the south-western Sweden, including interviews, observations, diaries and questionnaires. A framework is developed to examine strategic and operational perspectives on Lean Thinking. Using this framework, a number of challenges encountered in Lean implementation are presented. This article is limited to the study of Lean among a group of Swedish farms although its findings may have implications for the wider agricultural sectors. Many societal challenges are linked with agricultural sustainability, stressing the need for productive, resource-efficient, resilient and less wasteful food production. This article is the first to develop and test a Lean implementation framework in the agriculture sector.     

Populism: a major threat to democracy?

ABSTRACT

Unsurprisingly, given the surge in support for “populist” movements across the globe, there has been a resurgence of academic interest in the subject. Our aim in this volume is to explore some of the key issues in these contemporary debates. In this introduction, we focus upon five of the main questions raised in this literature: What is populism? What variants of it are there? How serious a problem is the rise of populism? Why has there been a rise in populism? And how can populism be addressed?     

Integration of Critical Infrastructure and Societal Consequence Models: Impact on Swedish Power System Mitigation Decisions

Critical infrastructures provide society with services essential to its functioning, and extensive disruptions give rise to large societal consequences. Risk and vulnerability analyses of critical infrastructures generally focus narrowly on the infrastructure of interest and describe the consequences as nonsupplied commodities or the cost of unsupplied commodities; they rarely holistically consider the larger impact with respect to higher‐order consequences for the society. From a societal perspective, this narrow focus may lead to severe underestimation of the negative effects of infrastructure disruptions. To explore this theory, an integrated modeling approach, combining models of critical infrastructures and economic input–output models, is proposed and applied in a case study. In the case study, a representative model of the Swedish power transmission system and a regionalized economic input–output model are utilized. This enables exploration of how a narrow infrastructure or a more holistic societal consequence perspective affects vulnerability‐related mitigation decisions regarding critical infrastructures. Two decision contexts related to prioritization of different vulnerability‐reducing measures are considered—identifying critical components and adding system components to increase robustness. It is concluded that higher‐order societal consequences due to power supply disruptions can be up to twice as large as first‐order consequences, which in turn has a significant effect on the identification of which critical components are to be protected or strengthened and a smaller effect on the ranking of improvement measures in terms of adding system components to increase system redundancy.     

Twelve-month-old infants’ physiological responses to music are affected by others’ positive and negative reactions

Infants show remarkable skills for processing music in the first year of life. Such skills are believed to foster social and communicative development, yet little is known about how infants’ own preferences for music develop and whether social information plays a role. Here, we investigate whether the reactions of another person influence infants’ responses to music. Specifically, 12-month-olds (N = 33) saw an actor react positively or negatively after listening to clips of instrumental music. Arousal (measured via pupil dilation) and attention (measured via looking time) were assessed when infants later heard the clips without the actor visible. Results showed greater pupil dilation when listening to music clips that had previously been reacted to negatively than those that had been reacted to positively (Exp. 1). This effect was not replicated when a similar, rather than identical, clip from the piece of music was used in the test phase (Exp. 2, N = 35 12-month-olds). There were no effects of the actor's positive or negative reaction on looking time. Together, our findings suggest that infants are sensitive to others’ positive and negative reactions not only for concrete objects, such as food or toys, but also for more abstract stimuli including music.     

Valuing mortality risk reductions from environmental, transport, and health policies: a global meta-analysis of stated preference studies

We conduct, to our knowledge, the first global meta-analysis (MA) of stated preference (SP) surveys of mortality risk valuation. The surveys ask adults their willingness to pay (WTP) for small reductions in mortality risks, deriving estimates of the sample mean value of statistical life (VSL) for environmental, health, and transport policies. We explain the variation in VSL estimates by differences in the characteristics of the SP methodologies applied, the population affected, and the characteristics of the mortality risks valued, including the magnitude of the risk change. The mean (median) VSL in our full data set of VSL sample means was found to be around $7.4 million (2.4 million) (2005 U.S. dollars). The most important variables explaining the variation in VSL are gross domestic product (GDP) per capita and the magnitude of the risk change valued. According to theory, however, VSL should be independent of the risk change. We discuss and test a range of quality screening criteria in order to investigate the effect of limiting the MA to high-quality studies. When limiting the MA to studies that find statistically significant differences in WTP using external or internal scope tests (without requiring strict proportionality), we find that mean VSL from studies that pass both tests tend to be less sensitive to the magnitude of the risk change. Mean VSL also tends to decrease when stricter screening criteria are applied. For many of our screened models, we find a VSL income elasticity of 0.7-0.9, which is reduced to 0.3-0.4 for some subsets of the data that satisfy scope tests or use the same high-quality survey.     

A Local Dimension of Integration Policies? A Comparative Study of Berlin,Malmö, and Rotterdam

This study examines three theses on local integration policies by a qualitative comparative case study of integration policies in three cities in three different countries (Berlin, Malmö, and Rotterdam). We found little evidence of a congruent local dimension of integration policies. Local policies resemble their national policy frameworks fairly well in terms of policy approaches and domains. Our multi‐level perspective shows that this is not the result of top‐down hierarchical governance, but rather of a multilevel dynamic of two‐way interaction. Local policy legacies and local politics matter and national policies are also influenced by local approaches of integration.     

Book reviews

Distributed Cognitions: Psychological and Educational Considerations. Gavriel Salomon (Ed.), Cambridge & New York: Cambridge University Press, 1993. 275 pages, $49.95.

The Computer as Medium. Peter Bøgh Andersen, Berit Holmqvist, & Jens F. Jensen (Eds.), Cambridge: Cambridge University Press. 495 pages. $54.95.     

Local linear regression with adaptive orthogonal fitting for the wind power application

Short-term forecasting of wind generation requires a model of the function for the conversion of meteorological variables (mainly wind speed) to power production. Such a power curve is nonlinear and bounded, in addition to being nonstationary. Local linear regression is an appealing nonparametric approach for power curve estimation, for which the model coefficients can be tracked with recursive Least Squares (LS) methods. This may lead to an inaccurate estimate of the true power curve, owing to the assumption that a noise component is present on the response variable axis only. Therefore, this assumption is relaxed here, by describing a local linear regression with orthogonal fit. Local linear coefficients are defined as those which minimize a weighted Total Least Squares (TLS) criterion. An adaptive estimation method is introduced in order to accommodate nonstationarity. This has the additional benefit of lowering the computational costs of updating local coefficients every time new observations become available. The estimation method is based on tracking the left-most eigenvector of the augmented covariance matrix. A robustification of the estimation method is also proposed. Simulations on semi-artificial datasets (for which the true power curve is available) underline the properties of the proposed regression and related estimation methods. An important result is the significantly higher ability of local polynomial regression with orthogonal fit to accurately approximate the target regression, even though it may hardly be visible when calculating error criteria against corrupted data.