Cities under stress

This paper studies the effect of terrorist attacks on the internal structure of cities. We develop an urban framework with capital structures suitable for the study of this question and analyze the long and short term implications of this type of events. In the long run, the analysis shows that a terrorist attack will affect urban structure only modestly, relative to the potentially large decrease in the level of economic activity in the city. Land rents will not decline at all locations. In the short run, agglomeration forces will amplify the effect of the original destruction and will reduce urban economic activity temporarily.     

Un indicador de baja calidad del empleo aplicado al Brasil, 2002–2011

En países con mayores niveles de informalidad y precariedad laboral es cuestionable la precisión con la que las tasas de desempleo y participación laboral y los salarios reflejan las condiciones del mercado de trabajo. En esta investigación utilizamos un indicador multidimensional de baja calidad del empleo que considera ingresos, existencia de contrato, contribución a la seguridad social y duración del empleo para analizar el mercado de trabajo brasileño entre 2002 y 2011. Los resultados muestran un aumento significativo de la calidad del empleo, especialmente en el periodo 2009–2011, y diferencias importantes entre trabajadores asalariados e independientes y por sector productivo.     

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.     

Influence of the sector and the environment on human resource practices' effectiveness

The aim of this work is to examine the effect that human resource practice has on performance. From a database made up of 250 companies in Spain and by means of a regression analysis, we test empirically whether human resource practices generate positive results under any circumstance or if their effectiveness depends on certain contexts. In this respect, focusing the study on the activity sector and the environment, we analyse whether high levels of competition in the environment and service companies constitute more attractive contexts for the adoption of high involvement practices.     

CSR Policies: Effects on Labour Productivity in Spanish Micro and Small Manufacturing Companies

Journal of Business Ethics - This paper analyses empirical evidence of efforts to enable Spanish micro and small manufacturing companies to boost their labour productivity rates through the...     

The Effect of the Organizational Context on SME's Entrepreneurship: Some Spanish Evidence

The research reported in this article examines the influence of the organizational context of firm on their entrepreneurship. Specifically, this study examines how the organizational context variables of age, size, resources and competitive strategy affect entrepreneurship and in particular, innovation, proactiveness and risk-taking. Results from a sample of 233 firms showed, as hypothesized, the significant influence of resources and competitive strategy on entrepreneurship. However, size and age were not significant.     

Location decisions of knowledge-based entrepreneurs: Why some Catalan KISAs choose to be rural?

Entrepreneurship has currently become an important element of economic development and innovation policy. In this context, the promotion of knowledge-based firms has become the norm, even in rural areas. Thus, the study presented in this paper analyses the variables that influence the choice of location made by rural and urban knowledge intensive service activity firms (KISA, hereafter). The results of the quantitative study allows for important policy making recommendations, but also offers significant contributions for entrepreneurship and regional development researchers, as well as practical insights for entrepreneurs.     

Factor decomposition of cross-country income inequality, 1960–1990

In this paper we present Esteban's 1994 [Esteban, J., 1994. La desigualdad interregional en Europa y en España: descripción y análisis. In: Esteban, J.M^a., Vives, X. (dirs.), Crecimiento y convergencia regional en España y en Europa, Vol. 2, Instituto de Análisis Económico] decomposition of the Theil index of inequality over per capita incomes into the (unweighted) sum of the inequality indices of (i) the productivity per employed worker, (ii) the employment rate, (iii) the active over working-age population rate, and (iv) the working-age over total population rate. Each of these factors clearly have different meanings for analysis as well as for policy. We apply this factoral decomposition to a set of 120 countries. We also contrast the empirical findings with the results obtained for the 23 OECD countries. [OECD, Labour Force Statistics, Several issues, Paris].     

EMPIRICAL ESTIMATION OF NON-LINEAR INPUT–OUTPUT MODELS: AN ENTROPY ECONOMETRICS APPROACH

Despite theoretical advances, non-linear input–output models have been empirically applied only to a limited extent. This is mainly due to the fact that the number of parameters to be estimated is much higher than the number of available data points. Taking advantage of the recent proliferation of input–output databases and by applying an estimation strategy that relies on entropy econometrics, this paper suggests a way to estimate the parameters that characterize non-linear relationships between inputs and output. This non-linear modelling allows for considering time-specific input coefficients, instead of fixed ones. Several types of multipliers can be derived from this non-linear model, and the proposed generalized maximum entropy (GME) estimator allows estimating them from time series or cross-sectional datasets of input–output tables. The proposed GME technique is illustrated by means of an empirical application that estimates the parameters that characterize a non-linear input–output model for the Spanish economy over the period 1995–2011.