Encarnación Cordón Lagares

This article explores the determinants of the transition from higher education to work, analysing the time it takes college graduates to obtain their first job in Spain. To estimate the exit rate to employment of university graduates, we use parametric and nonparametric analysis of duration models. We have incorporated unobserved heterogeneity using frailty models to account for misspecification or omitted covariates. The results show that after graduation, men are more likely to obtain employment than women. Our results also show that graduates of private universities gain their first jobs sooner than graduates of public universities. Furthermore, we found that those graduates who have previous work experience and those who start looking for a job before the end of their degree programme are likely to obtain a job sooner. In addition, Arts and Humanities graduates have the greatest difficulty in finding work. Finally, the results suggest that graduates who have international experience and those with expert knowledge of communication are more likely to obtain employment.

This paper aims to analyse the key success factors of crowdfunding based on rewards in social projects promoted by Social Economy organisations. For this purpose, we used the information from the Goteo database, which has been compiled manually, and consists of a total of 134 projects, involving around 12,321 investment decisions and a total amount raised of more than one million euros. By using the logit model, the following relevant conclusions have been obtained. First, the variables that have shown a positive effect on the chance of success of crowdfunding projects have been those related to the experience of the founders and the location of the project. Second, regarding the type of entity, associations are more successful than cooperatives, non-profit organizations, and foundations. Finally, the variable related to gender and human capital of the project members don’t have an influence on the success of the project.

Este estudio se centra en la plataforma GoFundMe, la cual es considerada como la que tiene un mayor volumen de campañas relacionadas con la COVID-19. GoFundMe es una plataforma que se encuadra dentro de la modalidad de crowdfunding de donación. El principal objetivo de este trabajo consiste en el análisis de las campañas de crowdfunding relacionadas con la COVID-19, que se han recopilado de manera manual de la plataforma de GoFundMe, con el propósito de llevar a cabo una descripción de las características de una muestra aleatoria de 118 proyectos. Mediante diferentes técnicas del análisis estadístico de tipo descriptivo se analizan un conjunto de variables cuantitativas, como la tipología del proyecto, importe recaudado, importe objetivo, y estadísticas sobre la recaudación de los fondos relativa al número de donantes, veces compartidos y seguidores, entre otras.

The objective of this paper is to analyze the factors influencing the success of real estate crowdfunding projects in Spain. This type of crowdfunding invests in real estate assets. We analyzed 60 projects published on the Housers platform, a kind of participative platform that uses the lending and equity crowdfunding modalities. These projects have involved around 36,623 investment decisions and have raised a total amount of almost 26 million euros. The empirical analysis is based on ordinary least squares and negative binomial regression. Our main findings reveal that success differs depending on the type of project; in fact, buy-to-sell projects are less successful than development loan projects. In addition, while total return has a positive impact on project success, in the case of risk level and project term, the impact is negative.

Las políticas basadas en la concesión de subsidios a sectores económicos concretos, y entre ellos al sector pesquero, se han generalizado durante los últimos cincuenta años y a pesar de su dilatada historia, no se ha llegado a alcanzar un consenso sobre su alcance y efectos. El análisis del impacto y efectividad de la política de subvenciones por parte de la UE al sector pesquero español constituye el principal objetivo de este trabajo, para lo cual ha sido necesario contemplar el análisis evolutivo de estos subsidios durante el período 1994-2012. De las diferentes líneas de ayuda al sector pesquero por la UE dos han sido especialmente relevantes: las ayudas a la modernización y las destinadas a la reducción del esfuerzo pesquero mediante el desguace.

El principal objetivo de este trabajo es la clasificación de los puertos españoles de interés general utilizando diversos indicadores que caracterizan la actividad portuaria referente al transporte de mercancías y pasajeros e indicadores de infraestructuras y servicios portuarios. La información ha sido obtenida principalmente a partir de las estadísticas de Puertos del Estado y de las memorias anuales de las Autoridades Portuarias.Mediante el uso de diferentes técnicas del análisis multivariante, se analiza un conjunto de variables cuantitativas y cualitativas. El Análisis Factorial de Componentes Principales ha permitido reducir el número de variables en cuatro factores, y con el Análisis de Conglomerados se obtuvo la clasificación de los puertos.Como conclusiones relevantes del análisis, cabe resaltar la existencia de tres grupos de puertos de titularidad estatal claramente diferenciados en función de su nivel de especialización en el tráfico portuario e infraestructuras, y otro conjunto de puertos que destacan por el tráfico de pasajeros de cruceros.

Port Community Systems (PCS) plays a role in supporting the competitiveness and efficiency of seaports through the reduction in both costs and the time needed for cargo to stay at the port. At seaports, multiple transport providers interact and a transport modal switch may occur. Seaports are therefore especially suited to assist the collaboration between terminals and transport providers. For doing so, a framework for sharing information between partners is needed in order to find transport solutions that can deliver cargo on-time, in a typical win-win situation. In this paper, we discuss a framework for guiding a wise allocation of cargo. The seaport is modeled as a store system, and cargo is categorized according to fixed properties and time varying properties (remaining time until due-time or expiration date). The cooperation is done in real-time and is a step towards synchromodal freight networks.