And yet it moves! (Climate) migration as a symptom in the Anthropocene

ABSTRACT

While the climate-migration nexus raises crucial questions of mobility and climate justice, it is commonly understood through simplistic narratives that reify a complex set of relations. The spectre of environmentally-induced exodus is recurrent in media, policy and activist circles, in spite of numerous studies that reveal the empirical flaws and noxious normative implications of such narratives. This article explores this insistence and the desire(s) for there to be a reified relation between climate and migration such insistence reveals. The article proceeds in three movements. First, it situates discourses on climate migration in relation to the crisis of humanism the Anthropocene signifies. Second, it operates a symptomatic reading of climate migration discourses, drawing on two understandings of symptom elaborated by Lacan – as ‘return of the repressed’ and as ‘Sinthome’. Read as a symptom, the figure of the climate migrant/refugee appears as the return of fundamental contradictions that carve contemporary regimes of socioecological (re)production. Through the concept of ‘Sinthome’, discourses on climate migration can be read as (illusory) attempts to shore up for the waning consistence of modern forms of ‘being human’. Finally, the article proposes a symptomatic reading of the Anthropocene itself, and elaborates on what the dissolution of this symptom/ Sinthome would entail.     

Minimax,information and ultrapessimism

Discussing the foundations of the minimax principle, Savage (1954) argued that it is utterly untenable for statistics because it is ultrapessimistic when applied to negative income, but claimed that such objection is not relevant when the principle is applied to regret. In this paper I rebut the latter claim. I first present an example where ultrapessimism, as Savage understood it, applies to minimax regret but not to minimax negative income. Then, for a sequential decision problems with two terminal acts and a finite number of states of nature, I give necessary and sufficient conditions for a decision rule to be ultrapessimistic, and show that for every payoff table with at least three states, be it in regret form or not, there exist an experiment such that the minimax rule is ultrapessimistic. I conclude with some more general remarks on information and the value of experimentation for a minimax agent.     

Firms,Destinations, and Aggregate Fluctuations

This paper uses a data base covering the universe of French firms for the period 1990–2007 to provide a forensic account of the role of individual firms in generating aggregate fluctuations. We set up a simple multisector model of heterogeneous firms selling to multiple markets to motivate a theoretically founded decomposition of firms' annual sales growth rate into different components. We find that the firm‐specific component contributes substantially to aggregate sales volatility, mattering about as much as the components capturing shocks that are common across firms within a sector or country. We then decompose the firm‐specific component to provide evidence on two mechanisms that generate aggregate fluctuations from microeconomic shocks highlighted in the recent literature: (i) when the firm size distribution is fat‐tailed, idiosyncratic shocks to large firms directly contribute to aggregate fluctuations, and (ii) aggregate fluctuations can arise from idiosyncratic shocks due to input–output linkages across the economy. Firm linkages are approximately three times as important as the direct effect of firm shocks in driving aggregate fluctuations.     

Factor Structure and Convergent Validity of the Long and Abbreviated Versions of the Multidimensional Students’ Life Satisfaction Scale in an Italian Sample

We examined the psychometric characteristics of the long and abbreviated versions of the Multidimensional Students’ Life Satisfaction Scale (MSLSS) in the Italian contexts. In study 1 we assessed the factorial validity and reliability of the long and abbreviated versions of the MSLSS among Italian adolescents, while in study 2 we assessed the convergent validity of the abbreviated Italian version of the MSLSS by examining the associations between life satisfaction and well-established measures of adjustment. Furthermore, we explored the effect of adolescent gender and age on life satisfaction. Participants in the study 1 were 996 adolescents (48 % males) from 14 to 18 years of age (M = 16.06; SD = 1.51). Participants in study 2 were 380 adolescents (52 % males) from 14 to 19 years of age (M = 15.76; SD = 1.65). Confirmatory factor analyses confirmed the hypothesized five-factor solution of the MSLSS, with a better goodness of fit for the abbreviated version of MSLSS. Moreover, indices of internal consistency revealed acceptable reliability coefficients across the five domains. Convergent validity was confirmed by the expected associations between the domains of the MSLSS and indexes of adjustment. Finally, results evidenced age differences, with oldest adolescents showing the highest levels of satisfaction on most of the domains.     

The Dimensions of Agricultural Diversification: A Spatial Analysis of Italian Municipalities

Diversification in agriculture could ensure the survival of farming by broadening the income base of farms and encouraging agricultural sustainability. The diversification of on-farm activities may depend on socioeconomic and environmental characteristics. Although multifunctionality is a hotly debated topic, few papers have focused on the farm characteristics that influence diversification and none have focused on the influence of the spatial pattern. This paper examines the relationship between farm characteristics and the adoption of a specific type of diversification. An econometric model is presented that uses a spatial autoregressive lag model at the municipal scale. The results demonstrate that the activation of each diversification dimension is influenced by both internal and external factors, encompassing farmers’ characteristics, the farm structure, and territorial features, including regional and spatial patterns. Deepening is mainly influenced by the farmer’s age, education, and the presence of small and labor-intensive farms. The key factors for broadening diversification are the presence of small farms and farms with mixed production (breeding and crop cultivation). Regrounding is most affected by the labor-intensive farms in the area and the farms with mixed production.     

The variable parameters T ^{2} chart with run rules

The Hotelling’s \(\textit{T}^{2 }\) control chart with variable parameters (VP \(T^{2})\) has been shown to have better statistical performance than other adaptive control schemes in detecting small to moderate process mean shifts. In this paper, we investigate the statistical performance of the VP \(T^{2}\) control chart coupled with run rules. We consider two well-known run rules schemes. Statistical performance is evaluated by using a Markov chain modeling the random shock mechanism of the monitored process. The in-control time interval of the process is assumed to follow an exponential distribution. A genetic algorithm has been designed to select the optimal chart design parameters. We provide an extensive numerical analysis indicating that the VP \(T^{2}\) control chart with run rules outperforms other charts for small sizes of the mean shift expressed through the Mahalanobis distance.     

Asymptotics for Panel Models with Common Shocks

This article develops a novel asymptotic theory for panel models with common shocks. We assume that contemporaneous correlation can be generated by both the presence of common regressors among units and weak spatial dependence among the error terms. Several characteristics of the panel are considered: cross-sectional and time-series dimensions can either be fixed or large; factors can either be observable or unobservable; the factor model can describe either a cointegration relationship or a spurious regression, and we also consider the stationary case. We derive the rate of convergence and the limit distributions for the ordinary least square (OLS) estimates of the model parameters under all the aforementioned cases.     

Well-Being and Affective Commitment among Ambulance Volunteers: A Mediational Model of Job Burnout

ABSTRACT

Burnout represents a relevant risk for ambulance volunteers. According to the Job Demands-Resources model, role conflict and social support can be considered as antecedents of burnout which, in turn, may lower affective commitment. This study aims to investigate the relationship between social support, role conflict, and affective commitment, as mediated by job burnout. Survey data were collected from 352 Italian volunteers and analyzed using structural equation modeling methods. Social support was confirmed as a protective factor, and role conflict as an antecedent of burnout which, in turn, decreases affective commitment. The relationship between role conflict and affective commitment is mediated by burnout which, on the contrary, does not mediate the effect of social support on affective commitment. Social support may protect against burnout. Because of its positive effects on a personal and an organizational level, affective commitment may be increased raising levels of supervisor support and reshaping role expectations. It could be useful to carry out future longitudinal studies, in order to confirm the antecedents and effects of job burnout; furthermore, this research should be extended to other ambulance organizations, in order to generalize the results; finally, multi-group analyses would allow to bring out possible differences between paid-staff and volunteers.     

The flower intersection problem for Kirkman triple systems

The flower at a point x in a Steiner triple system is the set of all triples containing x. Denote by I_R^*[r] the set of all integers k such that there exists a pair of KTS(2r+1) having k+r triples in common, r of them being the triples of a common flower. In this article we determine the set I_R^*[r] for any positive integer r≡1 (mod 3) (only nine cases are left undecided for r=7,13,16,19), and establish that I_R^*[r]=J[r] for r≡1 (mod 3) and r22 where J[r]={0,1,…,2r(r−1)/3−6,2r(r−1)/3−4,2r(r−1)/3}.     

L'évolution du tissu social – entre nouvelles technologies et tendances socio‐économiques anciennes

Nos sociétés vivent‐elles aujourd'hui une nouvelle révolution industrielle? Les auteurs s'efforcent de répondre à cette question à partir d'une évaluation des conséquences des changements technologiques sur le tissu socio‐économique actuel, notamment sous l'angle de l'emploi, des inégalités, des conditions de travail et des relations professionnelles. Ils avancent que les processus d'innovation et la diffusion de «l'automatisation intelligente» risquent de renforcer des schémas de répartition des revenus et des rapports de force inéquitables (certains préexistants à l'arrivée des technologies et d'autres apparus au cours des trente à quarante dernières années). Ils détaillent les implications de ces évolutions sur les politiques à mettre en ?uvre.