Social interactions and the contemporaneous determinants of individuals’ weight

Obesity and overweight are central issues in the public health debate in most developed countries. In this debate, some of the socio-economic determinants of obesity and overweight are still relatively unexplored. This paper presents an empirical examination of the possible influence of social interactions on contemporaneous obesity and (over)underweight. A joint estimation model for obesity and self-image is applied to a sample for Spain taken from the European Union household panel for 1998. The results suggest that obesity might be in part a social phenomenon connected to individuals’ social life.     

Town size and the consumer behaviour of Spanish households: a panel data approach

The aim of this paper is to analyse the effect of town size on the Spanish demand for food. The methodological approach followed in the study is to use panel data built from the Spanish Quarterly National Expenditure Survey to estimate a demand system. The use of this type of data allows control for unobserved time invariant heterogeneity as well as to take into account the time and the cross-section dimension of data. Four locations are distinguished: (1) less than 10000 inhabitants; (2) between 10000 and 100000 inhabitants; (3) between 100000 and 500000 inhabitants; and (4) more than 500000 inhabitants. Eight broad food categories are considered: (1) cereals and potatoes; (2) meat; (3) fish; (4) dairy products; (5) fats and oils; (6) fruits; (7) vegetables; and (8) other food. Income and price elasticities are calculated for each location. In general terms, two general conclusions can be drawn. First, results indicate that only slight changes in tastes have taken place during the analysed period; second, income and price elasticities use to decrease as town size increases.     

The future of social media in marketing

Social media allows people to freely interact with others and offers multiple ways for marketers to reach and engage with consumers. Considering the numerous ways social media affects individuals and businesses alike, in this article, the authors focus on where they believe the future of social media lies when considering marketing-related topics and issues. Drawing on academic research, discussions with industry leaders, and popular discourse, the authors identify nine themes, organized by predicted imminence (i.e., the immediate, near, and far futures), that they believe will meaningfully shape the future of social media through three lenses: consumer, industry, and public policy. Within each theme, the authors describe the digital landscape, present and discuss their predictions, and identify relevant future research directions for academics and practitioners.

     

Logistic service quality and technology: a comparison between supplier–retailer and retailer–consumer relationships

Physical distribution quality can be considered as a differentiation factor and, in this way, as a source of competitive advantage. Nevertheless, there is neither consensus about its dimensions, or on how it might be influenced by technological solutions. The present paper aims at identifying the main antecedents of logistic service quality, examining the influence of technology on logistic service quality and analysing its effects on firm results in terms of customer satisfaction and loyalty in different levels of the marketing channel. The proposed structural equations model is tested empirically in two different samples: 400 consumers and 304 distributors. For both samples, technology assessment shows a positive effect on logistic service quality and this, in turn, generates customer satisfaction and loyalty.     

A class of incomplete and ambiguity averse preferences

This paper characterizes models of ambiguous beliefs in the absence of the completeness axiom. We axiomatize multiple-selves versions of some of the most important examples of complete and ambiguity averse preferences, and characterize when those incomplete preferences are ambiguity averse.     

Firm size distribution under horizontal and vertical innovation

This paper studies the firm size distribution arising from an endogenous growth model of quality ladders with expanding variety. The probability distribution function of a given cohort is a Poisson distribution that converges asymptotically to a normal of log size. However, due to firm entry propelled by horizontal R&D, the total distribution—i.e., when the entire population of firms is considered—is a mixture of overlapping Poisson distributions which is systematically right skewed and exhibits a fatter upper tail than the normal distribution of log size. Our theoretical results qualitatively match the empirical evidence found both for the cohort and the total distribution, and which has been presented as a challenge for theory to explain. Moreover, by obtaining a total distribution with a gradually increasing average over a long time span, the model is able to address complementary empirical evidence that points to a total distribution subtly evolving over time.     

Evolutionary policy targeting: towards a conceptual framework for effective policy intervention

This special issue reflects on innovation and industrial policy from the premise that economic growth can be based on the permanent transformation of an economic system via the emergence and/or transformation of multi-agent structures and their inherent competences and knowledge base. The process of emergence or transformation is conceived as being the result of entrepreneurial effort, or entrepreneurs reacting to external stimuli in a way that takes advantage of an evolving knowledge base. The same process, however, can be undermined by both market and institutional failures. Past research has clearly indicated the importance of institutional structures for innovation, but also that structures as they exist may not be ideal: some institutions involved in innovation may provide the wrong incentives, faulty information, or allocate insufficient resources to accomplish their goals or mandates; and they may fail to reduce uncertainty. The paper asks whether and how a targeted, co-evolutionary approach can help overcome a lack of dynamic coordination and other failures that originate in coincidence with the emergence of a complex form of industrial organisation, be it an innovation system, cluster or a new industrial sector. More specifically, it builds upon the extended industry life cycle (EILC) model and the notion of evolutionary targeting to explore the potential benefits (and drawbacks) of targeting biotechnology innovation systems (BISs).     

Traffic accidents,deaths and alcohol consumption

The main goal of this article is to analyse the relationship existing among prices of alcoholic beverages, alcohol consumption and traffic fatalities for the Spanish Autonomous Communities during the time interval 1998 to 2002. Among the main results, we highlight a positive correlation between alcohol consumption and traffic mortality rate. Basically, governments implement two kinds of policies to reduce the traffic mortality rate. One is oriented to control the supply of alcohol by increasing alcohol taxes. The other is oriented to preserve traffic security, increasing the number of sanctions for traffic rule infraction. We find evidence that both policies exert a positive influence in the reduction of traffic fatalities. There is no empirical evidence to indicate that being a novice driver increases the tendency to be involved in a mortal traffic accident.