@uma.es
Facultad de Turismo
Universidad de Málaga
Profesora Titular de Economía Aplicada (Estructura Económica) de la Universidad de Málaga (UMA). Apasionada de la docencia en Economía y convencida de los beneficios de la creación de redes de colaboración entre docentes. He colaborado en el Blog ECO-razón y en la red informal «Creando Redes de Conexión para llegar al Corazón de la Docencia en Economía», PIE SERCA, entre otras. Temas de interés: Docencia, Sostenibilidad, Liderazgo, Turismo, Indicadores Económicos y Contabilidad Social.
Doctora en Economía por la Universidad de Málaga.
Multidisciplinary, General Economics, Econometrics and Finance, Education
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
German Gemar, Ismael P. Soler, and Laura Moniche
Elsevier BV
Garcia Mestanza Josefa, Cerezo Medina Alfonso, and Moniche Bermejo Laura
IEEE
REDPETUR is a competency-based teaching network in the field of internships in tourism studies. Its goal is to successfully address the role of these studies in society and optimize the public resources used. This Network has carried out a series of activities, thanks to the financing of the Integral Teaching Plan of the University of Malaga, which have contributed to the adaptation of training in pandemic times using information technologies (IT) such as Virtual Campus and Icaro platform (an ecosystem which connects companies, students and teachers). In addition, from a Delphi analysis this network has set the foundations for collaboration between tourism faculties sharing generated content to ensure their students gain practical experience to complete their education.
Germán Gémar, Laura Moniche, and Antonio J. Morales
Elsevier BV
Bárbara Díaz, Laura Moniche, and Antonio Morillas
Informa UK Limited
Abstract The search for key sectors in an economy has been and still is one of the more recurrent themes in input–output analysis. When using clustering techniques, sectors can only belong to a group, having a particular performance. But, actually, the same sector could be important from different perspectives at the same time, to a different degree. So, a fuzzy clustering approach is needed. In this work we propose a multidimensional approach to classify the productive sectors of the Spanish input–output table for 1995, based on three groups of variables: those related to their productive integration, others measuring their specific weight in the economy and finally some showing their economic dynamic. We also incorporate into the analysis the technological level, which being a categorical variable presents special methodological problems. All these questions are tackled applying a robust and fuzzy clustering analysis, which gives as a result a classification of sectors illustrating the role that each one plays in the Spanish economy.