Invariances and Diversities in the Patterns of Industrial Evolution: Some Evidence from Italian Manufacturing Industries

This work explores and compares some basic properties of corporate growth process at both aggregate manufacturing level and disaggregated sectoral levels. Using an extensive dataset on Italian manufacturing firms, we investigate which properties of firm growth dynamics are robust under disaggregation. We compare the results obtained with three different definitions of firm size, namely total sales, number of employees and value added. Our analysis suggests that while different sectors are characterized by significant differences in firm size distributions, in the degrees of concentration and in the autoregressive structure of the growth processes, there are also regularities which hold across all of them, such as the approximate unit root nature of the growth process and the power exponential shape of the growth rates density. Together, these “stylized facts” suggest challenging puzzles on the drivers of corporate growth and the resulting industrial structures.     

Export price adjustments under financial constraints

Exploiting data on the product‐destination‐level transactions of a large panel of Italian firms, we provide evidence that financial constraints affect price variation across exporters. Constrained exporters charge higher prices than do unconstrained firms that export to the same product‐destination market. This pattern is the result of a two‐fold effect. Distressed firms pass on their higher production costs through prices. However, they also charge higher mark‐ups. We explain this evidence referring to models in which rival firms produce different brands of the same product for customers with significant switching costs and producers face capital market imperfections when they need external financing. Our empirical investigations corroborate this explanation: price gaps are higher when switching costs or other forms of demand rigidity are expected to be more relevant.     

A dynamic semester-long social dilemma game for economic and interdisciplinary courses

The authors present a semester-long game to teach the role of economics in natural resources management. The game is framed within a fisheries context: multiple student fisheries harvest fish to maximize yield/profit, which is measured using a piecewise linear function. There are prizes for both the student and the group with the highest semester-long catch, which brings forth the social dilemma associated with dynamic stock externalities in fisheries. The game can be played in large classes, is robust to student attrition, and requires 5–10?minutes per class period. Given its features, it can be used to teach behavioral economic principles in resource management, incentives versus command-and-control regulations, role of cheap talk, social preferences, punishment, and community management as well as solutions such as aquaculture.     

Fish Consumers: Environmental Attitudes and Purchasing Behavior

The objective of this study was to expand on the limited awareness of the U.S. fish consumer. Measures were tested through a Web-based national survey. The final survey consisted of 40 questions, including environmental awareness, food neophobia, fish consumption, reasons for consuming fish, and demographic variables. Correlations and t tests were used to analyze relationships between eating fish in restaurants and other variables. Hierarchical cluster analysis was used to segment respondents into two groups based on their environmental awareness and neophylic/neophobic attitudes. EcoFish consumers were more likely to be male, eat fish for health and the environment, and eat fish at restaurants significantly more than the Indifferent Fish consumers. Restaurants can use these results to market to eco-friendly, health-conscious fish consumers.     

Exploring the impact of a supplier portal on the buyer-supplier relationship. The case of Ferrari Auto

This article concentrates on the relationship between companies and their suppliers with a specific focus on the impact that information and communication technologies (ICTs) have on industrial (business to business) purchasing processes. After reviewing the extant literature, we classify the potential impact of ICTs on the buyer-supplier interactions into three main categories, i.e. impact on buyer-supplier relationship, impact on purchase process efficiency and impact on logistics process performance. Whilst scholars generally agree on the impact ICTs may have on buyer-supplier exchanges, they have not investigated concurrently all of these three impacts to understand their comparative relevance and the context in which this comparative relevance may change. In order to redress this gap in the literature our research study focuses on a particular form of ICT solution - supplier portals - and takes a supplier (rather than buyer) perspective. We explore empirical evidence from a single customer-multiple supplier case study, that of the Ferrari Auto supplier portal. Our study leads us to contend that suppliers view such portals as offering far more significant benefits to their relationship with customers than to the improvements in purchase process efficiency or to the performance of buyer-supplier logistics processes. We conclude with a short discussion of the main managerial implications and suggestions for future research.     

Managing the Risk of European Corn Borer Resistance to Bt Corn

New pesticidal crops are taking advantage of advances in geneticengineering. For example, corn has been engineered to express Bt proteinsthat are toxic to the European corn borer. These crops are effective pestmanagement tools for United States growers. However, there is concern thatpests will develop resistance to these crops resulting in the increased useof more hazardous pesticides. The purpose of this paper is to develop astochastic dynamic bioeconomic simulation model to help guide regulatorypolicy designed to mitigate the threat of resistance to new pesticidal crops.The model is used to evaluate the insect resistance management guidelinesmandated by the United States Environmental Protection Agency for theuse of Bt corn in the Midwestern United States.     

Asymptotically Optimal Response‐Adaptive Designs for Allocating the Best Treatment: An Overview

Response‐adaptive designs are being used increasingly in applications, and this is especially so in early phase clinical trials. This paper reviews a particular class of response‐adaptive designs that have the property of picking the superior treatment with probability tending to one. This is a desirable property from an ethical point of view in clinical trials. The model underlying such designs is a randomly reinforced urn. This paper provides an overview of results for these designs, starting from the early paper of Durham and Yu (1990) until the recent work by Flournoy, May, Moler and Plo (2010).