Industry dynamics: Foundations for models with an infinite number of firms

This paper explores the connection between three important threads of economic research offering different approaches to studying the dynamics of an industry with heterogeneous firms. Finite models of the form pioneered by Ericson and Pakes (1995) capture the dynamics of a finite number of heterogeneous firms as they compete in an industry, and are typically analyzed using the concept of Markov perfect equilibrium (MPE). Infinite models of the form pioneered by Hopenhayn (1992), on the other hand, consider an infinite number of infinitesimal firms, and are typically analyzed using the concept of stationary equilibrium (SE). A third approach uses oblivious equilibrium (OE), which maintains the simplifying benefits of an infinite model but within the more realistic setting of a finite model. The paper relates these three approaches. The main result of the paper provides conditions under which SE of infinite models approximate MPE of finite models arbitrarily well in asymptotically large markets. Our conditions require that the distribution of firm states in SE obeys a certain “light-tail” condition. In a second set of results, we show that the set of OE of a finite model approaches the set of SE of the infinite model in large markets under a similar light-tail condition.     

Research into Quality Management and Social Responsibility

This article presents a systematic literature review on quality management and social responsibility (focusing on ethical and social issues). It uses the literature review to identify the parallels between quality management and social responsibility, the extent to which qualitative, quantitative and mixed methods are used, the countries that have contributed most to this area, and how the most common quality management practices facilitate social responsibility. The literature review covers articles about quality management and social responsibility (focusing on ethical and social categories) based on a computer search in three databases, namely ABI Inform, Emerald and Science Direct, and includes articles dealing with the subject that were found in the lists of references of the articles found in the primary search, as well as a search in six top management journals. The results show (1) the journals most likely to publish this type of article; (2) the range of qualitative, quantitative and mixed methods used; (3) the most productive countries in this field; (4) the parallels between quality management and social responsibility; and (5) how the most common quality management practices facilitate ethical behaviour and social aspects.     

R&D Subsidies,Spillovers, and Privatization in Mixed Markets

We examine the use of subsidies to research and development (R&D) in a mixed and a private duopoly market. We show that the socially optimal R&D subsidy is increasing in the degree of spillovers, but it is lower in the private duopoly. The optimal R&D subsidy leads to an increase in total R&D and production; however, it does not lead to the equalization of per firm output and therefore to an efficient distribution of production costs. We also find that privatization of the public firm reduces R&D activity and welfare in the duopoly market. This result stands even when optimal R&D subsidies are provided.     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

Market Integration of Fish in Europe

This paper examines market integration between fish species in Europe, taking international market integration into account. Based on Juselius (2006) , market integration is found both on the fresh and frozen markets. The Law of One Price is in force on the fresh market within the segments of flatfish and pelagic fish. Assuming transitivity, a loose form of market integration is identified between 13 fresh and seven frozen fish species, and the relative prices are found fairly stable. The policy implication is that catch limitation measures implemented through the Common Fisheries Policy have limited and conditional effects on prices, because of the large size of the market and varying market integration. Therefore, many fishermen are not ‘compensated’ by price increases as a result of catch limitation measures.     

Farmland for tomorrow in densely populated areas

The paper describes the results of a research that aimed to come up with a well structured method to estimate future farmland requirements in densely populated areas. By using in depth interviews, scenario analysis and strategic orientation rounds, a method is developed to support policy optimization and to explore alternative future developments. The method is applied to the case of agriculture in the Flemish part of Belgium to show the feasibility of the model and to provide input for the discussion among policy makers in Flanders. The research results can be used by policy makers to build a new Spatial Plan Flanders for the period 2007–2013.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

Evolving splines and seasonal unit roots in weekly agricultural prices

The univariate statistical properties of agricultural price series need to be examined as a first step in the analysis of price transmission mechanisms. However, in the case of weekly price series, increasingly available, the testing procedures usually applied in this step are not suitable to deal with evolving seasonal effects. In this study, a method of testing for seasonal unit roots in weekly series of agricultural prices is described. When the deterministic seasonal component does not remain constant over time, the restricted evolving spline model (RESM) is shown to be a useful parametric formulation to capture the deterministic seasonal pattern. Therefore, the RESM model should be included as a deterministic component in auxiliary regression for unit root tests at seasonal frequencies. This proposal is applied to three weekly series of Canary Islands banana prices. From the standard seasonal unit root tests, the null hypothesis is failed to be rejected at the 5% or 10% significance level at some seasonal frequencies for each one of the series. Once critical values are obtained by simulation exercises when the RESM model is included, the hypotheses of unit root are rejected at each one of the seasonal frequencies for all of the three series.     

Do U.S. citizens support government intervention in agriculture? Implications for the political economy of agricultural protection

The persistence of agricultural protectionism throughout the world is intriguing given the widely recognized benefits of free trade. The political economy literature over the last decades has considered groups’ interest, politicians’ preferences, and their interactions within domestic politics as the primary forces driving agricultural protection. Yet, a growing body of studies suggests that it would be judicious to weigh in consumers’ or taxpayers’ perspectives in deciphering the nature of agricultural protection. This study examines U.S. citizens’ preferences about government intervention in agriculture and trade. Results show that they are in strong support of agricultural protection and their perceptions of national food security, family farms, environmental sustainability, and multifunctionality of agriculture play a significant role in shaping their support/opposition toward government intervention. The conventional political economy literature theorizes that consumers or taxpayers would oppose public policies that increase their tax burden; however, in the case of the farm sector, they have little incentive to voice their objections given the costs of farm programs are spread across a large number of consumers and taxpayers. U.S. citizens’ support for government involvement in agriculture as reported in this and other prior studies does not lend support for such political economy explanation.     

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor‐owned firms for the period 2010–2012. Our findings show that agri‐food firms are influenced by spatial factors finding interesting differences between cooperatives and investor‐owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor‐owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri‐food companies. This factor is more relevant for cooperatives than for investor‐owned firms.