The right speed and its value

Slow investments cause substantial revenue losses, yet acceleration increases costs. This tradeoff implies that an optimal investment speed usually exists; it is faster the higher a firm's intrinsic speed capability. We hypothesize that it is a firm's intrinsic speed capability, rather than its speed relative to industry competitors per se, that boosts firm value. Using data on oil and gas facilities (1996–2005), we find that intrinsic speed capabilities augment firm value in a varied way: their value is larger with better corporate governance, lower cost of capital, and higher ability to draw value from R&D investment. Our work elevates the discussion of speed from a project‐level consideration to a firm‐level competitive advantage issue and raises the need to further explore its strategic value. Copyright © 2013 John Wiley & Sons, Ltd.     

Firm Internationalization and Capital Structure in Developing Countries: The Role of Financial Development

We investigate the relationship between internationalization and the level of debt financing for more than 18,000 firm/year observations from thirty-one developing countries in the period 1991-2006. We argue that this relationship can be affected by both country-level and firm-level factors. The results show that in developing countries with relatively higher financial development, firm internationalization corresponds with a greater level of debt when firms have more growth opportunities (which also indicate a higher level of asymmetric information). This evidence suggests that relatively developed financial markets in developing countries at least partially mitigate the effect of asymmetric information and decrease the agency cost of debt for firms with higher levels of internationalization.     

Asymmetric rivalry within and between strategic groups

Our study examines asymmetric rivalry within and between strategic groups defined according to the size of their members. We hypothesize that, owing to several forms of group‐level effects, including switching costs and efficiency, strategic groups comprising large firms expect to experience a large amount of retaliation from firms within their group and accommodation from the group comprising smaller firms. Small firms, on the other hand, expect to experience a small amount of retaliation from the group comprising large firms and no reaction from the other firms in their group. We estimate the effect of group‐level strategic interactions on firm performance. Our analysis reveals that the rivalry behavior within and between groups is asymmetric, which supports the dominant‐fringe relation between firms, as described in our hypothesis. Copyright © 2013 John Wiley & Sons, Ltd.     

Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina

This article analyzes adoption and impacts of Bt cotton in Argentina against the background of monopoly pricing. Based on survey data, it is shown that the technology significantly reduces insecticide applications and increases yields; however, these advantages are curbed by the high price charged for genetically modified seeds. Using the contingent valuation method, it is shown that farmers' average willingness to pay is less than half the actual technology price. A lower price would not only increase benefits for growers, but could also multiply company profits, thus, resulting in a Pareto improvement. Implications of the sub-optimal pricing strategy are discussed.     

The Doha Round of the World Trade Organization and Agricultural Markets Liberalization: Impacts on Developing Economies

We investigate the impacts of multilateral removal of all border taxes and farm programs and their distortions on developing economies, using a world agriculture partial equilibrium model. We quantify changes in prices, trade flows, and production locations. Border measures and farm programs both affect world trade, but trade barriers have the largest impact. Following removal, trade expansion is substantial for most commodities, especially dairy, meats, and vegetable oils. Net agricultural and food exporters emerge with expanded exports; net importing countries with limited distortions before liberalization are penalized by higher world prices and reduced imports. We draw implications for current World Trade Organization negotiations.     

THE OPTIMAL CONCENTRATION OF CATTLE FEED SUPPLEMENTS

The paper deals with the optimal composition of cattle feed supplements which are prepared by feed mills and sold to cattle feeders. Two problems are distinguished. In the first problem the ratio in which supplement and main feed are utilised is considered as given, while in the second problem this ratio is optimally chosen.
The relationships between these two problems as well as their dual problems are analysed. It is indicated that feed mill profit margins for the supplement, based on the quantity of the supplement and the input costs, generally lead to supplements which are too concentrated. An application to a dairy ration is used as an example.
Cette étude s'occupe avec la composition optimale des suppléments fourragères préparés par des entreprises fourragères et vendus aux éleveurs de bétail. On distingue deux problèmes. Dans la première la proportion entre le supplément et le fourrage principal est prise pour donnée, et dans la seconde cette proportion est choisie optimalement.
Les relations entre les deux problèmes et les problèmes duales correspondantes sont analysées et on constate que des écarts bénéficiares des entreprises fourragères qui sont basés sur la quantité du supplément et les coûts des ingrédients en général out pour résultat des suppléments trop concentrés. Une application à une ration pour des vaches laitières est donnée pour exemple.     

Eliminating chain drift in price indexes based on scanner data

The use of scanner data in the CPI makes it possible to compile superlative price indexes at detailed aggregation levels since prices and quantities are available. A potential drawback is the high attrition rate of items. The usual solution to handle this problem, high-frequency chaining, can create drift in the index series due to price and quantity bouncing arising from sales. Ivancic, Diewert and Fox (2009) have recently proposed an approach that provides drift free, superlative-type indexes through adapting multilateral index number theory. In this paper we apply their proposal to seven product groups and find promising results. We compare the results with those obtained by using the Dutch method to deal with supermarket scanner data.     

Holt’s exponential smoothing and neural network models for forecasting interval-valued time series

Interval-valued time series are interval-valued data that are collected in a chronological sequence over time. This paper introduces three approaches to forecasting interval-valued time series. The first two approaches are based on multilayer perceptron (MLP) neural networks and Holt’s exponential smoothing methods, respectively. In Holt’s method for interval-valued time series, the smoothing parameters are estimated by using techniques for non-linear optimization problems with bound constraints. The third approach is based on a hybrid methodology that combines the MLP and Holt models. The practicality of the methods is demonstrated through simulation studies and applications using real interval-valued stock market time series.