Economic complexity can be defined as the level of interdependence between the component parts of an economy. In input--output systems interindustry connectedness is a crucial feature of analysis, and there are many different methods of measuring it. Most of the measures however, have important...

This paper investigates the common intuition suggesting that during crises the shape of the financial market clearly differentiates from that of random walk processes. In this sense, it challenges the traditional analysis of the nature of financial markets implicit in the most popular models....

An integrated methodology for evaluation of overwash vulnerability is developed with respect to the historical washover evolution of a barrier island system. Three different aspects of overwash are addressed in the vulnerability indices developed: overwashed shoreline ratio, maximum overwash...

Este artigo identifica factores determinantes das estratégias de aliança entre empresas portuguesas e empresas estrangeiras, distinguindo entre condições externas e condições internas às empresas. Utiliza-se um modelo logit para estimar os efeitos destes factores na constituição de...

In this paper we propose a new index of connectedness for an input – output system which is considered useful for quantifying economic complexity as the level of interdependence between the component parts (sectors) of a national (or regional) economy. This index is empirically applied in a...

Economic complexity can be defined as the level of interdependence between the component parts of an economy. In input-output systems, intersectoral connectedness is a crucial feature of analysis, and there are many different methods for measuring it. Most of the measures, however, have...

We address the problem of estimating an environmental Kuznets curve for CO2 in open economies. The novelty is that we follow a time series approach. The objective is, �first to answer a critique concerning the liability of Kuznets curves estimations when using cross-section data. For most of...