Disparities in entrepreneurship indicators across EU countries

The levels and characteristics of entrepreneurship differ widely across EU member countries due to diverse cultural, educational, economic-financial and institutional reasons. Taking as reference data provided by the Global Entrepreneurship Monitor (GEM), this paper analyzes the disparities in entrepreneurship indicators among the EU member countries in 2007 and 2013, highlighting the most significant changes occurred during the Great Recession. For this purpose, some of the major indices of inequality have been calculated, namely the Gini, Theil and Atkinson indices. In addition, the change in the Gini coefficient between these two years is additively decomposed into mobility and progressivity components, and growth incidence curves of some key indicators of entrepreneurial activity are estimated. Overall, we find that inequality among countries in most entrepreneurial attitude and aspiration indicators tends to diminish over the period 2007-2013. For all indicators the reduction is more generalized across the efficiency-driven economies than across the innovation-driven economies.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Entrepreneurship and Economic Liberalization in the OECD Countries

Entrepreneurship displays remarkable differences across countries because of diverse factors. In this sense, it is frequently argued that economic liberalization encourages entrepreneurship. In this paper we address the extent to which economic freedom, understood as market economy oriented institutions and policies, matters for entrepreneurial activity through a panel data analysis for 78 countries during the period 2001-2012. We examine the relationship between the Fraser Institute’s economic freedom index and its five areas, and three entrepreneurial activity indicators from the Global Entrepreneurship Monitor, namely total entrepreneurial activity, necessity entrepreneurship and opportunity entrepreneurship. Economic freedom seems to increase opportunity entrepreneurship and decrease necessity entrepreneurship. Focusing on the OECD countries, we highlight that economic freedom is positively associated with entrepreneurship. In terms of entrepreneurship motivation, we find that a more flexible regulation of credit, labor and business, as well as entrepreneurial attitudes, may contribute to enhance opportunity entrepreneurshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

Examinig the roloe of economic liberalization in entrepeneurship: a cross-country study

In the last few decades some authors have underlined the role of institutions and policies for entrepreneurship. North (1990) underlines that entrepreneurs are the main agents of change and that organizations, such as firms set up by entrepreneurs, adapt their activities and strategies to fit the opportunities and limitations provided through formal and informal institutional frameworks. Baumol (1990) hypothesizes that entrepreneurial individuals channel their efforts in different directions depending on the quality of prevailing economic, political, and legal institutions. Sobel (2008) asserts that better institutions have both more productive entrepreneurship and also less unproductive entrepreneurship. He stresses that the best path to foster entrepreneurship is through institutional reforms that constrain or minimize the role of government. In this context, economic freedom may be seen as a significant aspect for entrepreneurial activity and it is frequently argued that economic liberalization encourages entrepreneurship. In this paper we address the extent to which economic freedom, understood as market economy oriented institutions and policies, matters for entrepreneurial activityUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Does economic freedom increase income inequality? Evidence from the EU countries

Over the past decades there have been considerable changes in policies and institutions in favor of economic freedom in the EU countries. This trend coincides with widespread increases in income inequality in numerous member states. To what extent does economic freedom encourage inequality? This paper examines the relationship between economic freedom and income inequality in the EU countries using panel data for the 2000s. The empirical evidence suggests that economic freedom seems to entail greater income inequality. However, not all areas of economic freedom affect income distribution similarly. While government size and regulation appear to be robustly associated with income inequality, legal system and property rights, sound money, and freedom to trade internationally seem not to be significantly related with income distribution in the European context.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

La Prensa en la Segunda República: breve aproximación como contexto vital de don Diego Martínez Barrio

La Segunda República fue un corto pero apasionante periodo de tiempo, de alto pluralismo y fuertes oscilaciones en el poder. Esa actividad febril se trasladó a la Prensa, que vivió la aparición y la desaparición de cientos de periódicos dispersos por toda España. He aquí una visión de esos años.The Second Republic was a short but exciting period of time, of high pluralism and strong oscillations in the power. This feverish activity moved to the Press, which lived through the appearance and the disappearance of hundreds of newspapers, dispersed for the whole Spain

Los Programas de El Correo de Andalucía

Universidad de Sevilla. HUM212: Análisis y Técnica de la Informació

Landmark Localization, Feature Matching and Biomarker Discovery from Magnetic Resonance Images

The work presented in this thesis proposes several methods that can be roughly divided into three different categories: I) landmark localization in medical images, II) feature matching for image registration, and III) biomarker discovery in neuroimaging. The first part deals with the identification of anatomical landmarks. The motivation stems from the fact that the manual identification and labeling of these landmarks is very time consuming and prone to observer errors, especially when large datasets must be analyzed. In this thesis we present three methods to tackle this challenge: A landmark descriptor based on local self-similarities (SS), a subspace building framework based on manifold learning and a sparse coding landmark descriptor based on data-specific learned dictionary basis. The second part of this thesis deals with finding matching features between a pair of images. These matches can be used to perform a registration between them. Registration is a powerful tool that allows mapping images in a common space in order to aid in their analysis. Accurate registration can be challenging to achieve using intensity based registration algorithms. Here, a framework is proposed for learning correspondences in pairs of images by matching SS features and random sample and consensus (RANSAC) is employed as a robust model estimator to learn a deformation model based on feature matches. Finally, the third part of the thesis deals with biomarker discovery using machine learning. In this section a framework for feature extraction from learned low-dimensional subspaces that represent inter-subject variability is proposed. The manifold subspace is built using data-driven regions of interest (ROI). These regions are learned via sparse regression, with stability selection. Also, probabilistic distribution models for different stages in the disease trajectory are estimated for different class populations in the low-dimensional manifold and used to construct a probabilistic scoring function.Open Acces