Price Variability and Industrial Concentration in U.S. Food Industries

This paper focuses on the sources of intra‐industry price variability in US food industries during a period of increasing concentration, while accounting for the impact of variations in prices of primary agricultural products. Results suggest that intra‐industry price variability in food industries increases with their respective mean rate of inflation and product heterogeneity. However, industrial concentration lowers the sensitivity of relative prices to changes in the mean rate of inflation. Hence, static welfare losses to consumers from increasing concentration in food industries, a subject of recent and intensive investigation, can partly be offset by gains such as reduced price variability.     

Sources of Sectoral Growth in an Economy Wide Context: The Case of U.S. Agriculture

Growth in U.S. agriculture is linked to the non-farm economy through domestic terms of trade and factor market adjustments. With almost stable input growth, the relatively large contributions from growth in Total Factor Productivity (TFP) are passed on to intermediate and final consumers in the form of declining real prices for primary farm products. The resulting net growth in the real value of farm output (GDP) is relatively low (0.25% per annum). The decomposition of TFP suggests that public agricultural stock of knowledge and infrastructure are robustly associated with TFP growth, while spill-overs from private agricultural and economy wide research and development (R and D) are positive but, relatively small.     

Welfare Effects of Technological Convergence in Processed Food Industries

We develop a monopolistic competition model to investigate effects of international technological convergence on factor rewards, output composition, and welfare. Comparative static analysis indicates technological convergence improves the follower's—but impairs the leader's—international competitiveness. The leader's welfare improves unambiguously; the follower's welfare depends on the relative strength of convergence's income and terms-of-trade effects. We use data from seventeen food industries in thirty countries, 1993–2001, to test these analytical predictions. Evidence of convergence is found in thirteen of seventeen industries. Convergence lifts followers' relative wages and global value-added shares. Followers benefit from convergence's positive income effect. Leaders benefit from higher terms of trade.     

Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.     

Modeling inter-sectoral growth linkages: An application to U.S. agriculture

General equilibrium and open economy trade theory are used along with time series data on the U.S. agricultural sector to provide insights into the structure of agricultural supply, factor returns and linkages to the rest of the economy. Output expansion and factor returns are found to vary depending on relative factor intensities, which we refer to as Rybczynski and Stolper-Samuelson like effects. The effect of the rest of the economy, particularly the increase in price of services, is found to have relatively large negative impacts on agriculture. The short-run effects of prices and factor endowments on growth in agricultural supply and factor returns are dominated by the long-run effects of technological change.     

Hybrid Choice Models: Progress and Challenges

We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model is presented that integrates many types of discrete choice modeling methods, draws on different types of data, and allows for flexible disturbances and explicit modeling of latent psychological explanatory variables, heterogeneity, and latent segmentation. Both progress and challenges related to the development of the hybrid choice model are presented.     

Recognizing and Justifying Private Corruption

While public (or government) corruption has attracted a lot of attention, private (or business) corruption has been relatively under-addressed. A specific form of corruption, namely, paying a bribe to a public official, is easily identifiable as unethical and possibly illegal, but this is not clear in a private business context. Yet private bribery also has serious organizational consequences. This exploratory study suggests that individuals have difficulty in recognizing the ethical connotations of potential bribery, and draws attention to the need to build skills in this regard. C. Gopinath is a professor in the Management Department, Sawyer Business School, Suffolk University and is a visiting professor at the Institut D’Administration des Entreprises, Aix en Provence. His research, teaching and consulting interests span strategic management and international business. His current work is titled ‹Globalization: A multidisciplinary system’ (Sage, forthcoming).     

Post–Uruguay Round price linkages between developed and developing countries: the case of rice and wheat markets

The Uruguay Round Agreement on agriculture attempted to lower distortions in global agricultural markets. However, the significant fall in commodity prices in the late 1990s may have reduced the incentives for both developed and developing countries to better integrate into world markets. This study analyzes price linkages and adjustment between developed and developing countries during the post–Uruguay Round period. Prices of two key commodities, long‐grain rice and medium‐hard wheat, are assembled for major exporters and producers. Results of multivariate cointegration analysis suggest partial market integration between developed and developing countries in the post–Uruguay Round period. Developed countries are found to be price leaders in these two markets, and in most cases, changes in their prices have relatively large impacts on those of the developing countries. Developing countries (e.g., Vietnam and Argentina) have faced considerable price adjustment due to changes in the developed countries' prices.     

Pollution Control and Foreign Direct Investment in Mexico: An Industry-Level Analysis

Foreign direct investment (FDI) flows into developing countries have been increasing dramatically over the past decade. At the same time, there has been widespread concern that lax environmental standards are in part responsible for this surge. This paper revisits the question of the existence of a pollution haven effect by examining the extent to which the pollution intensity of production helps explain FDI in Mexico. We focus on pollution intensities, which are directly related to emission regulations, rather than unobservable pollution taxes and allow for substitution between capital and pollution. Examining several different pollutants, we find a positive correlation between FDI and pollution that is statistically and economically significant in the case of the highly regulated sulfur dioxide emissions. Industries for which the estimated relationship between FDI and pollution is positive receive up to 30% of total FDI and 30% of manufacturing output. Although we confirm the importance of Mexico’s comparative advantage in labor-intensive production processes, consistent with the previous literature, our results suggest that environmental considerations may matter as well for firms’ investment decisions.