Urban squatting and community organization in developing countries

It is estimated that up to 30–35 percent of the total urban population of the Third World (about 185 million people) live in squatter settlements. This paper presents, from an economic perspective of tenure choice under uncertainty, a unified and consistent theoretical framework of this phenomenon, which has heretofore been studied mainly by other social scientists. The model is able to explain why land invasions occur. Furthermore, it provides some insights as to why the number of squatters in an urban area depends on a squatter community's ability to form coalitions to fully protect its members' rights. It is shown in the paper that, if a community is successful in controlling its size, government efforts which are meant to reduce the number of squatters may lead to the opposite results. In particular, the imposition of heavier fines or the increase of government expenditures on eviction activity (threat campaigns, eviction in other jurisdictions, etc.) will likely lead to an increase in the optimal number of squatters, unless the decline in expected utility caused by these efforts is so great that squatting no longer becomes viable at any community size.     

The impact of integrated livestock disease management for food security in Togo

In sub-Saharan Africa, livestock is one of the key channels through which most households meet their food security needs. However, diseases such as the African Animal Trypanosomosis (AAT) constrain productivity. Using data from 445 randomly sampled small-scale cattle farmers, this paper investigates the role of integrated livestock disease control on household food security. Using a novel approach to link different food security measures to cattle productivity, the paper identifies the channels of impact at the household level. Methodologically, the paper estimated the propensity score matching algorithm to net out the effect of adoption. The results show that households who adopt RDU have record livestock productivity and higher consumption per capita expenditures. They tend to be more food secure, experience lower seasonal food supply fluctuations and experience a lower probability of falling below the food poverty line.     

Co-integration and error-correction modelling of agricultural export supply in Cameroon

Estimates of factors influencing Cameroon^,s exports of cocoa, coffee and cotton are derived in a system of equations using the Engle-Granger and Johansen co-integration and error-correction representation procedures. Two co-integrating vectors involving cocoa and coffee exports as endogenous variables are identified in the system while tests for exogeneily of cotton exports are consistent with the independence of cotton from the other two commodities. These findings are corroborated by estimates of a restricted error-correction model which lead to acceptance of the hypothesis that cocoa and coffee exports are-indeed determined endogenously to the system and not linked to cotton exports. Statistical significance of the error-correction terms for cocoa and coffee validates the existence of an equilibrium relationship among the variables in each of these co-integrating vectors. The combined short run dynamic effect of lagged quantities of cocoa and coffee, export/domestic price ratio and GDP jointly explain changes in exports of cocoa whereas lagged quantities exported do not seem to have a significant short-run dynamic effect on changes in coffee exports.     

Building Core Competencies in Crisis Management Through Organizational Learning: The Case of the French Nuclear Power Producer

Drawing from the resource-based theory of the firm, we develop a conceptual framework to show how organizational learning helps companies build a set of embedded knowledge assets (core competencies). The evolution of the core competencies over time depends on the ability of the firm to maintain a high level of organizational learning. In this article, we take the case of the French nuclear industry to illustrate how the most powerful French electricity producer and supplier, EDF, had succeeded, for 20 years, in building a core competence in nuclear risk and crisis management. Referring to the future deregulation of the European electricity market and the fierce competition of substitute resources of energy, the article shows that nuclear safety is a crucial issue for the survival of EDF and the European nuclear industry. We explore how EDF has learned from Three Mile Island in 1979 and Chernobyl in 1986 to improve and enrich continuously its core competence in risk and crisis management. We distinguished three phases in the learning process of EDF: the technical phase (1977–1982), the human phase (1982–1989), and the cultural phase (1989–1995). Each phase is analyzed as a step toward a greater awareness of the multidimensional nature of risk and crisis management.     

The adoption and use of information technology: a longitudinal study of a mature family firm

Through a longitudinal study of a mature family firm, this paper investigates the adoption and use of information technology in a family business. It is argued that the adoption and use of information technology is influenced by five key factors. These factors are discussed, leading to a presentation of a series of implications and conclusions.     

Selecting Board Members: The Impact of Common Knowledge on Gender Diversity – An Experimental Investigation

Using a corporate governance experiment, we explore the role of common knowledge of diversity on board members' selection. Our results show that common knowledge of diversity impacts significantly and negatively the proportion of women selected on boards and in a higher proportion in sectors perceived as ‘masculine’. We also bring evidence of an order effect that makes the selection of men on boards likelier for the first chosen members. This bias is stronger for male decision makers. This article provides implications and directions for future research for the understanding of decision making involved in the selection process for board members. Copyright © 2016 John Wiley & Sons, Ltd.     

Malmquist Indexes Using a Geometric Distance Function (GDF). Application to a Sample of Portuguese Bank Branches

Traditional approaches to calculate total factor productivity (TFP) change through Malmquist indexes rely on distance functions. In this paper we show that the use of distance functions as a means to calculate TFP change may introduce some bias in the analysis, and therefore we propose a procedure that calculates TFP change through observed values only. Our total TFP change is then decomposed into efficiency change, technological change, and a residual effect. This decomposition makes use of a non-oriented measure in order to avoid problems associated with the traditional use of radial oriented measures, especially when variable returns to scale technologies are to be compared. The proposed approach is applied in this paper to a sample of Portuguese bank branches.     

Is the 2008 financial turmoil increasing the risk of a bank run？ An empirical research in Geneva

In this paper, the authors present the results of an empirical study that attempts to analyse the risk of bank run in Geneva, Switzerland. Two similar surveys have been conducted upon two independent samples of Geneva population （June 2008 and February 2009） to detect the existence of predictive signals leading to a bank run within the selected area. The authors discover that Geneva inhabitants are generally confident in Swiss banks; the risk of a bank run in the area is low. However, reliance to the national banking system is worsening： The number of people fearing about their savings and those thinking the default of a major Swiss bank as ＂possible＂ has significantly risen. Also, more and more people keep updated about the current financial crisis; overall trust in Swiss banks has slightly decreased.