Consumers' Preferences for Nanotechnology in Food Packaging: A Discrete Choice Experiment

We examine consumers' preferences for chickens under different levels of foodborne health risk, animal welfare and pric attributes. We analyse how their preferences vary according to the risk reduction method. Our comparison is between risk reductions achieved by conventional improvements in the meat supply chain system (e.g. more stringent regulations and inspection regimes), and risk reductions achieved by food packaging nanosensors. Our comparison uses a two‐treatment discrete choice experiment in which each treatment sample is only presented with one of the risk reductions: either nanotechnology or conventional methods. We also investigate heterogeneity in preferences for two consumer groups: (i) consumers who usually buy conventional raw, whole chickens, and (ii) consumers who usually buy niche, welfare‐improved chickens, such as free‐range and organic. Our results show evidence of heterogeneity in preferences and willingness‐ to‐pay values of the both consumer groups. We find that consumers, on average, prefer raw, whole chicken with a lower risk of food poisoning, better animal welfare, and lower costs, regardless of the presence of nanosensors. Although consumers in general showed no strong preferences towards or resistance to nanotechnology, those who buy chickens with better animal welfare, on average, showed higher WTP for food risk reduction and animal welfare relative to conventional chicken consumers.     

Decomposition of gender differentials in agricultural productivity in Ethiopia

A number of studies document gender differentials in agricultural productivity. However, they are limited to region and crop‐specific estimates of the mean gender gap. This article improves on previous work in three ways. First, data representative at the national level and for a wide variety of crops is exploited. Second, decomposition methods—traditionally used in the analysis of wage gender gaps—are employed. Third, heterogeneous effects by women's marital status and along the productivity distribution are analyzed. Drawing on data from the 2011–2012 Ethiopian Rural Socioeconomic Survey, we find an overall 23.4 percentage point productivity differential in favor of men, of which 13.5 percentage points (57%) remain unexplained after accounting for gender differences in land manager characteristics, land attributes, and access to resources. The magnitude of the unexplained fraction is large relative to prior estimates in the literature. A more detailed analysis suggests that differences in the returns to extension services, land certification, land extension, and product diversification may contribute to the unexplained fraction. Moreover, the productivity gap is mostly driven by non‐married female managers—particularly divorced women—; married female managers do not display a disadvantage. Finally, overall and unexplained gender differentials are more pronounced at mid‐levels of productivity.     

The impact of IQ and EQ on pre-eminent achievement in organizations: implications for the hiring decisions of HRM specialists

In this study, IQ and EQ determinants of pre-eminent achievement in organizations were explored to help HRM specialists in selecting more appropriate job applicants, having potential for outstanding performance in their career paths. Several EQ elements were proved the most important in the achievement. However, IQ elements still play a very important role in superior performance. Results also exhibit that correlation of IQ and EQ levels of superior performers is significant and strong. In conclusion, HRM specialists have to test both IQ and EQ in the hiring process, to create a high-performing workforce in their organizations.     

A cross-category and cross-country analysis of umbrella branding for national and store brands

The large penetration of store brands has been accelerated by a substantial increase of their availability across various categories. Although store brands have generated tremendous interest in the literature, little work has been done on umbrella branding strategies for store brands. We extend the previous work of Erdem (1998) and Erdem et al. (2004) by studying the learning spillover effects of umbrella brands across categories for both national and store brands. We apply the Multivariate Multinomial Probit Model of cross-category learning across five product categories to study differences across store versus national umbrella brands in three countries (i.e., the United States, the United Kingdom, and Spain). Our results indicate that cross-category learning effects exist between different product categories in consumer packaged goods for both store brands and national umbrella brands, although some of the categories in which correlated learning happens differ between the two. The degree of cross-category learning also varies across categories.     

Using best–worst scaling to explore perceptions of relative responsibility for ensuring food safety

We examine stakeholders’ perceptions of the share of the overall responsibility of each stage in the food supply chain has in ensuring that the meat people cook and eat at home is safe to consume. We elicit these perceptions of relative responsibility via surveys using the best–worst scaling technique and analyse the data via Bayesian estimation of mixed logit models. Results are reported for two groups of stakeholders: consumers and farmers, and for two meat food chains: chicken and beef. The results reveal that consumers tend to think farmers are more responsible for ensuring meat safety than farmers do. Similarly, farmers tend to think consumers have a greater degree of responsibility than consumers believe they have themselves. Such beliefs might affect stakeholders’ willingness to take actions and reduce hazards in the supply chain. From a policy perspective, the research findings provide useful insights to support policymakers and other decision-makers in the industry in developing mitigation strategies. Communication with consumers and farmers about emerging food safety problems in a supply chain and their involvement in proactive practices would need to be attuned to their subjective perceptions of relative responsibilities in order for integrated risk management systems to be effective.     

An experimental analysis of moral self-regulation

This article examines the validity of the moral self-regulation hypothesis in a laboratory setting. The experiment is comprised of a public good game preceded or followed by a matrix task. The data show that the recall of an immoral action (cheating in the matrix task) motivates the individual to do morally right thing (contributing to group account) and the recall of a moral action (contributing to group account) motivates the individual to act out self-interest (cheating in the matrix task). Both moral licensing and moral cleansing hypotheses are confirmed by the results of the experiment. Additionally, the findings indicate that the subjects who had been given a chance to cheat ‘at first’ allocated more funds to the group account; and the subjects who had been given a chance to voluntarily contribute ‘at first’ cheated more in the matrix task.     

Brand and Quantity Choice Dynamics Under Price Uncertainty

We develop a model of household demand for frequently purchased consumer goods that are branded, storable and subject to stochastic price fluctuations. Our framework accounts for how inventories and expectations of future prices affect current period purchase decisions. We estimate our model using scanner data for the ketchup category. Our results indicate that price expectations and the nature of the price process have important effects on demand elasticities. Long-run cross price elasticities of demand are more than twice as great as short-run cross price elasticities. Temporary price cuts (or deals) primarily generate purchase acceleration and category expansion, rather than brand switching.     

Market efficiency, the Mexican peso crisis, and the US bank stock returns: An application of the event parameter method

This paper examines the impact of the 1994 Mexican peso crisis on US bank returns using an event parameter approach. The event parameter approach explicitly predicts the stochastic return generating process on the occurrence or nonoccurrence of specific events. The event parameter method assumes that only the intercept term may vary between the estimation and analysis periods. Specifically, this study will examine two pairs of hypotheses, new information vs. information leakage and rational pricing vs. investor contagion, in the context of the 1994 Mexican peso and banking crisis. The empirical results support the new information hypothesis, which states that US stock prices reacted quickly to events related to the Mexican peso crisis. This research has also found evidence for bank contagion, although these did not spill over to other banks. The US government and international agencies acted promptly to contain the effect of the Mexican peso and banking crisis spreading to the US and to other Latin American countries.     

Crop Yield Distributions: A Reconciliation of Previous Research and Statistical Tests for Normality

This study revisits the large but inconclusive body of research on crop yield distributions. Using competing techniques across 3,852 crop/county combinations we can reconcile some inconsistencies in previous studies. We examine linear, polynomial, and ARIMA trend models. Normality tests are undertaken, with an implementable R-test and multivariate testing to account for spatial correlation. Empirical results show limited support for stochastic trends in yields. Results also show that normality rejection rates depend on the trend specification. Corn Belt corn and soybeans yields are negatively skewed while they tend to become more normal as one moves away from the Corn Belt.     

Risk return and cost of equity of small and large casual-dining restaurants

Although the financial performance of US casual-dining restaurants has been better than returns in other restaurant segments, it is not known how large and small casual-dining restaurant companies perform when their stock returns are adjusted for risk. The present study uses traditional and contemporary risk-adjusted performance and cost of equity models to fill the void in this area of research. The results indicate that large casual-dining restaurants outperformed their smaller counterparts on a risk-adjusted basis, and had a lower cost of equity for the 1998–2002 period. In addition, the findings demonstrate that the cost of equity estimates pose some serious challenges when sub-periods before and after September 11 events are included in the analysis.