Institutional dimensions underlying public trust in information on technological risk

This paper examines the determinants of trust in public information on technological risk in a petrochemical complex located in Tarragona (Spain). Data from focus groups (eight) and a questionnaire survey (N = 400) are drawn together to analyse how two local communities exposed to major chemical hazards perceive information on risk and its sources. Results show how trust relies on two main factors, namely expertise and trustworthiness, that are significantly influenced by a third one, antagonism. Results also illustrate the relevance of the institutional context when understanding how communities give meaning to the available information on risk.     

The determinants of efficiency: the case of the Spanish industry

The aim of this paper is to analyse the factors explaining the technical efficiency of Spanish industrial sectors during the period 1991–1994 using the Survey of Business Strategies (SBE) of the Ministry of Industry and Energy. It analyses whether efficiency can be explained by factors external to the firm such as the degree of competition in the markets in which it operates, characteristics of the firm (size, organization, advantages of location, participation of public capital, etc.), as well as the effects of dynamic disturbances that may affect the degree of utilization of the productive capacity.     

PREDICTING PRIVATE COMPANY FAILURE

Private company failure is a significant problem that is not fully addressed by existing research. This study develops a discriminant model from data on 107 private companies. The model predicts success and failure, based on six ratios obtained from the two immediately prior years' publicly available accounting reports. Based on a hold-out sample of 40 companies a prediction with 85% accuracy was achieved. This prediction was made one year ahead. The model indicates that the retained earnings/total assets, total liabilities/total assets, and shareholders funds/total liabilities ratios are the three major predictors of bankruptcy. Overall the model's coefficients are, as expected, substantially different to those of public company models.     

The Relationship Between REITs Returns and Inflation: A Vector Error Correction Approach

Previous studies show that REITs returns and inflation arenegatively related. This paper reexamines this perverse inflation hedgephenomenon by investigating the relationship among REITs returns, realactivities, monetary policy and inflation through a Vector ErrorCorrection Model. Empirical results show that inflation does notGranger-cause REITs returns and that REITs returns signal changes in monetary policy. The observed negative relationship between REITs returnsand inflation is merely a proxy for the more fundamental relationshipbetween REITs returns and other macroeconomic variables.     

The effect of relative performance feedback on individual performance in team settings under group-based incentives*

This study reports the results of an experiment that analyses the behavioural effect of relative performance feedback (RPF) on individual performance when compensation is based on team performance. Specifically, it investigates whether RPF affects individual performance differently when the comparison focuses on other members of that individual’s team (within-group RPF) or on other teams (between-group RPF). We predict a negative effect of within-group RPF on individual performance. We also predict that between-group RPF moderates that negative effect, since it encourages individuals to focus on group goals rather than individual goals. Consistent with our predictions, results show that the negative effect of within-group RPF on individual performance is mitigated by between-group RPF. Our results can help accountants to better understand how the effects of relative performance feedback differ according to the predominant comparison target.     

Perceptions of pre-service teachers on seismic risk and their implications for science education: a comparative study between Spain and Portugal

Abstract

This study investigated the importance given by two groups of pre-service teachers of primary education from Spain and Portugal to seismic risk in a framework of different natural risks, both in personal terms and as future teachers. A questionnaire was used for data collection. Some questions about the seismic phenomenon were also included. The sample groups consisted of 110 students from an institution in Spain and 121 from one in Portugal. Both institutions are in cities affected by the historic Lisbon earthquake of 1755. The results showed that the risk of forest fire was the first choice for classroom study in both cases. The Spanish group was also more focused on the importance of other risks like flood and drought. The Portuguese group showed a greater concern with seismic risk, frequently referring to their own historic earthquake of 1755. A few gaps in knowledge concerning earthquake prediction and comparing seismic risk in different regions of their own countries were also found. In accordance with the results, it is suggested that training courses for primary school teachers should include Disaster Risk Education in Science Education for a better understanding of the impact of various hazards and a greater concern with seismic risk due to its particular features, especially in regions where the seismic pattern is characterized by long seismic cycles with major earthquake episodes.     

Migration Flows and Intra-Industry Trade Adjustments

In this paper we analyse the link between trade and migration. Focusing on the experience of Spain, we relate a marginal index of intra-industry trade to the stock of foreign workers—classified according to their country of origin and their situation in the Spanish labour market. We focus on the possibility that existing networks of foreign workers and their connections with their countries of origin could stimulate trade with the host country. Our results show a significant impact of the number of immigrants with work permits on intra-industry trade adjustment. However, this impact being positive or negative depends on whether foreign workers are employees or self-employed, the duration of the work permits and the type of job they occupy. JEL no. F10, F14, F15, F22     

Adverse selection as an explanation of credit rationing and different lender types

An adverse selection model is utilized to demonstrate that informational asymmetry may make it wealth optimal for the financial intermediary (FI) to credit ration and to rationalize the existence of different lenders in the credit market. The crucial assumption is that borrowers differ in their tolerance for a lender-imposed default penalty, the severity of which also varies with the lender. The credit rationing portion proves that the FI will: 1) be forced by a binding regulatory constraint to overinvest in capital; 2) ration its worst risk class borrowers; 3) establish its optimal loan interest rate on the basis of the average quality of its loans and the interest rate elasticity of the borrower demand in its best risk category; and 4) decrease the total loan volume and increase the loan interest rate due to an increase in the capital requirement, but the effect on the default risk quality of its loan portfolio is ambiguous. The existence result is that if a lender has a high default penalty, he can charge a lower rate and attract only “good” borrowers, i.e., heterogeneous lender types encourage the screening of borrowers and vice versa.