The strategy of the institutionalization and development of business agglomerations, in any of its analytical aspects (industrial district, local production system, cluster, etc.), has not had great results in Spanish regions with low business-density, probably due to the difficulty of finding an adequate implementation framework in administrative, geographic, and institutional terms. Based on the limitations presented by the identification methodologies of business agglomerations in low business-density territories, in this work we propose some methodological corrections that allow for reconciling these economic realities with the institutional and geographical framework offered by the local action groups (LAGs). This reconciliation is a useful tool to take advantage of the economies of agglomeration and, consequently, to explore the possibilities of endogenous development in rural areas, so that it can be a factor to take into account when planning and executing the public strategy of local and rural development. Finally, the results obtained for the specific case of Extremadura, the only Spanish region listed as a less developed one in European rural development policies, are presented.

The evolution of the Common Agricultural Policy (CAP) has been conditioned by a number of factors. Among them is the so-called external aspect of the CAP on which this work focuses, being the main objective to analyze the relationship between the evolution of the CAP and the negotiations leading to the liberalization of international agricultural trade, which were held within the General Agreement on Tariffs and Trade (GATT) and the World Trade Organization (WTO). In the same way, we also consider the consequences for European agricultural foreign trade derived from the commitments assumed by the European Union (EU) in those two negotiating forums. To achieve these objectives, this research proposes two working lines: first, a literature review for better understanding how international agricultural trade has been regulated since the end of the Second World War to the present, and second, a research effort to know the possible implications that said regulation have had for the evolution of European agricultural foreign trade. In this latter case, the issue is addressed through an empirical analysis using two of the main specialized statistical databases in international trade: EUROSTAT and COMTRADE. The results of the research show that, as the changes introduced by the CAP reforms have been consolidated (based on the trade commitments assumed by the EU), there has been a gradual decrease in the share of European exports in the international markets for continental products.

En este trabajo identificamos y localizamos los sistemas productivos locales (spl) que existen en la actualidad en Portugal. Para ello utilizamos la metodología propuesta por ^{Lainé (2000)}, ajustada y revisada con las aportaciones posteriores que realizaron ^{Giner, Santa María y Fuster (2006)} para el análisis del caso valenciano y con la incorporación de nuevos criterios de detección de aglomeraciones industriales que han sido utilizados en otros trabajos. Se adopta como unidad territorial de análisis para la localización de spl el concelho, y como clasificación estadística para el análisis cuantitativo, la Clasificación Portuguesa de Actividades Económicas, Revisión 3 (cae Rev. 3), específicamente información relativa a 2012. Se concluye en la detección de 25 spl en Portugal, dos de ellos poliespecializados, concentrados mayoritariamente en la mitad norte del país y próximos a la costa atlántica. Estos representarían, aproximadamente, el 15% de la industria portuguesa en términos de empleo generado y número de establecimientos.

BIBLIOMETRIC ANALYSIS OF FINANCIAL EDUCATION RESEARCH BASED ON SCIENTIFIC MAPS · ANÁLISIS BIBLIOMÉTRICO DE LA INVESTIGACIÓN EN EDUCACIÓN FINANCIERA BASADO EN MAPAS CIENTÍFICOS · Author · Abstract

The aim of this study is to carry out an analysis of the intellectual structure of the introduction of AI into finance, in the period from 1995 to 2023, using SciMAT v.1.1.04 software. The results indicate how research on the incorporation of AI in finance has grown significantly, which shows the evolution and importance of this area of research. Eight main topics were obtained in this area: bank, prediction, impact, decision, valuesstock, genetic algorithm, big data analysis, and social data analysis. This study shows us how the incorporation of AI can strongly support the analysis of different financial situations such as decision making or the prediction of movements.

Since the beginning of the research on the family business and rural economy, there has been a problem with the delimitation of the concepts. Given this problem, this study’s main objective was to identify and visualize the intellectual structure of these two issues through scientific maps. To meet this objective, an evaluation of scientific performance and production was carried out with bibliometric indicators to extract the main research topics around these two areas through an analysis of the co-occurrence of keywords with scientific maps. The results show that research on family businesses and rural economy is booming, especially on family businesses that have higher productivity and performance. Regarding the main topics studied regarding family businesses and the rural economy, a total of 16 main themes were detected, highlighting the topic of entrepreneurship. The study of land management in transboundary environments is a potential line of future research.