The spatiality of hope: mapping Canada's Northwest energy frontier

Maps engage both with the ‘not there’ and the ‘not yet' by simultaneously envisioning the future and tracing the lines of new geographies of development. Starting from these premises, the paper explores the complex relationship between cartography and hydrocarbon exploration in the Canadian Northwest. Through a selection of maps and mapping initiatives, it is shown how cartography has sustained specific geographic imaginaries of the North, such as the ‘energy frontier’, by infusing diverse hopes in the map-readers. Frontier-making through maps is, in this sense, a particularly difficult process to grasp, being influenced by overlapping interventions and agendas. The paper argues that it is because of their continuous mobilization of hope – regardless of whether this is directed towards oil or sovereignty – that maps should be treated as extremely powerful technologies, which contribute to transforming Canada’s northwest energy frontier into a ‘sticky’ and thus potentially unescapable site of promise.     

The PAYG system and the optimal redistribution instrument in an overlapping generation model

Using a two‐period overlapping generation (OLG) model, this article seeks to identify the optimal redistribution policy instrument in terms of aggregate welfare when agents differ according to their labour condition. We use five policy specifications: (i) early redistribution to the young informal generation; (ii) late redistribution to the informal old generation; (iii) a mix between early and late redistribution; (iv) redistribution from the current formal young generation to the current formal old one; and (v) a non‐redistribution scenario. With inelastic labour supply, we show that transferring to the young performs better as a redistribution policy. This result is robust across different parameter values.     

Likelihood and bayesian approaches to inference for the stationary point of a quadratic response surface

In response surface analysis, a second order polynomial model is often used for inference on the stationary point of the response function. The standard confidence regions for the stationary point are due to Box & Hunter (1954). The authors propose an alternative parametrization, in which the stationary point is the parameter of interest; likelihood techniques and Bayesian analysis are then easier to perform. The authors also suggest an approximate method to get highest posterior density regions for the maximum point (not simply for the stationary point). Furthermore, they study the coverage probabilities of these Bayesian regions through simulations.     

Material Flows Accounting: A Biophysical Approach to Macroeconomic Sustainability

The increasing dimension of socio-environmental problems make sustainability a macroeconomic issue and new methodological instruments are needed. In this paper, Material Flows Accounting is presented as a new statistical approach for an evaluation of macroeconomic sustainability. Based on the pre-analytic vision that economies are an open system embedded in the environment, it provides an overview in tonnes of annual material inputs and outputs of an economy. It quantifies the physical dimension of societies and analyses the “size” of the human economy in the geo-biosphere. As it provides information about efficiency and material requirements, it is a very important method for analysing whether a nation is moving towards sustainability or away from it. Used in many official statistics, it will become one of the most powerful tools in describing sustainability at the macroeconomic level. In this paper, after the presentation of the Material Flows Accounting approach, an Italian case study is considered.     

An Assessment of the Psychometric Properties of Italian Version of CPGI

The aim of this study was to adapt to the Italian context a very commonly used international instrument to detect problem gambling, the canadian problem gambling index (CPGI), and assess its psychometric properties. Cross-cultural adaptation of CPGI was performed in several steps and the questionnaire was administered as a survey among Italian general population (n = 5,292). Cronbach’s alpha reliability coefficient was 0.87 and can be considered to be highly reliable. Construct validity was assessed first by means of a principal component analysis and then by means of confirmatory factor analysis, showing that only one factor, problem gambling, was extracted from the CPGI questionnaire (an eigenvalues of 4,684 with percentage of variance 52 %). As far as convergent validity is concerned, CPGI was compared with Lie/Bet questionnaire, a two-item screening tool for detecting problem gamblers, and with both depression and stress scales. A short form DSM-IV CIDI questionnaire was used for depression and VRS scale, a rating scale, was used for rapid stress evaluation. A strong convergent validity with these instruments was found and these findings are consistent with past research on problem gambling, where another way to confirm the validity is to determine the extent to which it correlates with other qualities or measures known to be directly related to problem gambling. In sum, despite the lack of a direct comparison with a classic gold-standard such as DSM-IV, the Italian version of CPGI exhibits good psychometric properties and can be used among the Italian general population to identify at-risk problem gamblers.     

Bomb

Abstract

The University of Tennessee Libraries Career Employee Program (CEP) was inaugurated in 1999 to provide career staff with opportunities for educational and service enrichment and to financially reward support staff who meet the program requirements. This article describes the experiences of the participants, a review board member, and a supervisor, all of whom work in serials areas of the University of Tennessee Libraries. The libraries' human resources officer explains the origin of the CEP and the process of making it an ongoing program.     

Complex Factors and Behaviors in the Gambling Population of Italy

Gambling has seen significant growth globally, and particularly in Italy: it has rapidly evolved from a simple recreational activity to represent 4% of Italian GDP in 2010.A sample of 4.494 gamblers was drawn from IPSAD-Italia^®2007-2008 (Italian Population Survey on Alcohol and Drugs) in order to examine different gambling patterns (assessed using the Canadian Problem Gambling Index Short form scale).Separate analysis was performed on young adults, age 15–24 (n = 1,241; male 56.2%), and adults, age 25–64 (n = 3,253; male 53.8%): compared with adults, Italian youth, although they gambled less (35.7% vs. 45.3%), appeared to have higher prevalence of low risk gambling (6.9% vs. 5.8%) and moderate risk or problem gambling (2.3% vs. 2.2%). Males are more likely to be moderate-risk or problem gamblers. Those with only a primary education are more likely to be moderate-risk or problem gamblers (young adults: RRR = 5.22; adults: RRR = 3.23) than those with a university education, just like those youth who use depressants, but only among younger (RRR = 3.38).A fundamental issue, “do not disapprove of gambling”, seems to relate to problematic gambling: a specific Italian legislation, the Abruzzi Decree Law, could have influenced the perception that gambling may contribute positively to provide additional funds to the government for social good as well as to add needed jobs. Regardless of such potential social benefits, gambling is a social epidemic and if this association should be confirmed by more focused studies, policy makers should evaluate ways to affect this perception as soon as possible.     

Accounting for uncertainty in the historical response rate of the standard treatment in single‐arm two‐stage designs based on Bayesian power functions

In phase II single‐arm studies, the response rate of the experimental treatment is typically compared with a fixed target value that should ideally represent the true response rate for the standard of care therapy. Generally, this target value is estimated through previous data, but the inherent variability in the historical response rate is not taken into account. In this paper, we present a Bayesian procedure to construct single‐arm two‐stage designs that allows to incorporate uncertainty in the response rate of the standard treatment. In both stages, the sample size determination criterion is based on the concepts of conditional and predictive Bayesian power functions. Different kinds of prior distributions, which play different roles in the designs, are introduced, and some guidelines for their elicitation are described. Finally, some numerical results about the performance of the designs are provided and a real data example is illustrated. Copyright © 2016 John Wiley & Sons, Ltd.     

ICT-enabled time performance: an investigation of value creation mechanisms

The study presented in this paper aimed at checking whether companies that embed information and communication technologies (ICT)-enabled time performance into their product offering can achieve better economic outcomes from technology adoption. Indeed, it is still questionable whether technology adoption results in a superior profitability, especially if such an improvement is achieved through the use of functional ICT applications. In this study, we assume that a better alignment among ICT investments, improvements of the logistics process and the value proposition of the firm can lead towards a superior economic performance. A survey was conducted and 180 usable questionnaires were collected from companies engaged in the electronics and vehicle manufacturing industries. Data were analysed through the structural equation modeling approach. The results show that improvements in speed and dependability, achieved through technology adoption, can lead to a better economic performance if they are embedded into superior after-sales services and/or into an improved product offering.