Female Leadership and Organizational Climate in a University Institute

This paper addresses the case of the Professional Institute of the Southern Region （IPRES）, an institute of higher education in the State University of Morelos, with the aim of showing the measurement results of organizational climate before and after the change of the principal to know some internal features and describe the organizational climate of workers＇ perception in a transition stage; besides, the influence of the current director＇s leadership is analyzed in the achievement of organizational goals and how the perception of organizational climate or working environment can be affected by female leadership is also dealt with. In Mexico, there are more and more women running various organizations, including those belonging to the field of education, and universities are no exception. On the other hand, the type of leadership being exercised can promote or hinder the proper performance of the institute and may be a factor of distinction and influence the behavior of those who integrate it; therefore, knowing how it works provides feedback about the processes that determine organizational behavior and the working environment.     

Stochastic Frontier Estimation of Market Power in the Food Industries

We use a modified version of the stochastic frontier model to estimate oligopoly markups above the perfectly competitive frontier, separating out deterministic markups from purely stochastic markups. Using data from 42 US food processing industries between 1990 and 2010, empirical results indicate a widespread incidence of oligopoly power, with Lerner indexes averaging approximately 21%. Further, the estimated markups increase with industrial concentration but decrease with price elasticities and imports. Finally, the estimated Lerner indexes are in the range of previous food industry estimates using New Empirical Industrial Organization (NEIO) models.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.     

Imperfect Competition and Total Factor Productivity Growth

This article examines the role of imperfect competition in determining total factor productivity growth (TFPG) by bringing together a New Empirical Industrial Organization (NEIO) model and the TFPG model of Good, Nadiri and Sickles (1999). Application of the integrated model to 1973–1992 data from 29 food processing industries revealed that, overall, changes in markups, economies of scale, and demand growth contributed positively to TFPG while the disembodied technical change was a negative contributor. Furthermore, the factors underlying the TFPG estimates are interactive and their net effects are starkly different from the conventional Solow (1957) residual TFPG measures, underscoring the need to account for imperfect competition, returns to scale, and demand growth in analyses of this type.     

Regional relationships between inherent coffee quality and growing environment for denomination of origin labels in Nariño and Cauca,Colombia

International markets are increasingly signaling demand for quality-differentiated coffee, which the Colombian Coffee Growers Federation (FNC) proposed to exploit to identify those regional coffees that would fulfill the requirements to be classified as denomination of origin. The objective of this study was to develop and implement a sound, robust and repeatable approach with and for the FNC to identify regional causal relationships between coffee quality and environmental characteristics as bases for labels of denomination of origin. Environmental differences between coffee-growing areas in the departments of Cauca and Nariño were statistically significant for several characteristics, including the number of dry months, annual precipitation and diurnal temperature range. The dominant varieties (Caturra and Colombia) did not show major differences in quality attributes, and were pooled for the analyses with the environmental data. There are significant differences in biochemical and sensorial product characteristics between the two departments. The spatial patterns in product characteristics exhibit a non-random, regionally-changing structure that is related to those in the environmental data. The generated results provided ample evidence to support the application for regionally-based denominations of origin. Recommendations were derived to help mainstreaming the developed approach and thereby facilitate policy decisions for its use in other geographies and with other crops. Furthermore, the importance of systematic interdisciplinary institutional collaboration for large-scale denomination of origin projects was corroborated for food policy dialogue and decision making. It seems plausible that producers of high-quality products within other commodities are likely to follow the FNC in seeking denomination of origin for their goods. The presented approach is crucial to facilitate policy.     

Corruption and business in present day Venezuela

Venezuelan media present corruption as a major problem of the country and a research conducted by the author shows managers perceive it as business ethics' main issue. The corruption type addressed to in this article is the collusion between public officials and private managers for illegal or undue profits. Corruption in this form is related to the long-standing policy of State intervention and overregulation of the economy in order to industrialize the country. The issue analyzed is the perception of corruption as a major political and social problem. Corruption is pervasive in many societies but it is not perceived as a central problem. The explanation for this perception in Venezuela is the increased impoverishment of people as a consequence of present economic crisis (the corrupt person is perceived as taking from my pocket) and the openness and pluralistic character of the political system. Moral indignation and scandal is the result of this new feature of Venezuelan society. Changes in the economic policies and the awareness of corruption seem to establish the basis to overcome the perception of corruption as the paramount problem it is now.Rogelio Perez Perdomo is Professor at IESA, Caracas. He is trained in law, philosophy and sociology. He was called to create the Sanchez chair of business ethics at IESA. He has taught in Europe, United States and Latin America and has published extensively mostly on sociology of law.This study arose as part of the preparations for setting up a chair of business ethics in IESA. I would like to thank M. Naim and R. Piñango for our conversations which guided me in my work. Thanks to J. Malavé for his help in designing the questionnaire and for his careful comments on the first draft. H. Gómez, E. Granell, A. Francés and E. Pacheco also read the first draft and made some useful comments. C. Portela and A. Ruiz helped in the data processing. H. Njaim and E. Blankenburg gave me the chance of discussing their own studies on corruption. But first of all I should have thanked all those involved in corruption scandals who have made me think constantly on this theme, which is a real challenge for a researcher.     

A Flexible Tool for Model Building: the Relevant Transformation of the Inputs Network Approach (RETINA)*

A new method, called Relevant Transformation of the Inputs Network Approach is proposed as a tool for model building. It is designed around flexibility (with nonlinear transformations of the predictors of interest), selective search within the range of possible models, out‐of‐sample forecasting ability and computational simplicity. In tests on simulated data, it shows both a high rate of successful retrieval of the data generating process, which increases with the sample size and a good performance relative to other alternative procedures. A telephone service demand model is built to show how the procedure applies on real data.     

Multinational enterprises and technological spillovers: An evolutionary model

This paper analyses the determinants of the impact of foreign multinational enterprises on the technological development of domestic firms. It argues that the consequences of the foreign presence change according to market and technological conditions. An evolutionary model of technological competition between foreign and domestic firms is developed which is able to generate both vicious and virtuous circles of development in locations affected by foreign MNE activities. Theoretical analysis is tested against the empirical evidence for the UK economy (1983–1989).