Coordinators: Paloma Taltavull\u00a0 (UA) y Mar\u00eda Feo (UV)<\/em><\/p>\n Promoter: C\u00e1tedra de Transformaci\u00f3n del Modelo Econ\u00f3mico Valenciano (UA)<\/em><\/p>\n The modern economies are increasingly dependent on resources and strongly open markets, both in goods and services through exports. Most of the productive, industrial and service fabric deployed throughout their geography are firmly anchored to the territory, delimiting an interaction between industrial clusters and urban development. Export and tourism sectors share space and interrelate, mutually benefiting from the development of communication channels and contributing to economic growth. Little is known about the interaction between both groups of activities and their effect creating scale economies in the territory, allowing us to understand the mixed models and their contribution to the growth of both antagonistic areas of analysis. There are elements that, evaluated independently, are determinants of the competitiveness of industries, such as connectivity or efficient transport and communication systems, but also affect the expansion and proper functioning of urban ar!<\/p>\n eas. This session aims to showcase research on the evolution of connectivity and mobility between industrial production centres and their relationship with the growth of the urban area. Therefore, it will address questions that assess the patterns of mobility of goods and population and how they may have changed recently towards a new model. The pandemic shock effects on economic activity, both in production, in the supply chain, and the mobility of people, are one of the objectives to be addressed in this session.<\/p>\n <\/p>\n Coordinator: Fernando A. L\u00f3pez, Universidad Polit\u00e9cnica de Cartagena.<\/em><\/p>\n Recent technological advances, the high capacity to store information, and the effort of many governments to open large volumes of information are contributing to the production of an astonishingly large collection of data. The analysis of these large volumes of data (Big data) is an emerging topic in Regional Sciences, causing a strong impact in a great variety of fields: urban planning, economic geography or transportation. This information now allows us to examine urban and regional phenomena in ways that were not possible before.<\/p>\n Despite the tremendous potential of Big data for Regional Science, its use and application in this context is fraught with problems and challenges, but everything points to its great relevance in the near future. In this special session, researchers interested in the topic of \u2018Big Data and Machine Learning Algorithms in Regional Science\u2019 are invited to present and discuss their methodological and applied contributions.<\/p>\n Coordinator: Pau Insa-S\u00e1nchez (Universitat de Val\u00e8ncia)<\/em><\/p>\n The importance of education for societies well-being is an indisputable fact. From the field of economics, endogenous growth models were the first to demonstrate the importance of human capital in economic growth processes, either through its accumulation or through the improvement in the productivity of capital (Romer, 1986; Lucas, 1988). However, many of the vectors of a country’s economic growth stand out for their pronounced regional character. In this regard, it is convenient to insert the question of human capital within the body of literature that deals with the characteristics of economic growth and its inequalities from a historical and territorial perspective. As Mart\u00ed-Henneberg and Tirado (2018) point out, knowledge about the sources of economic growth can be substantially improved if we consider \u201cthe historical analysis of the reasons for the relative success or failure of different regions in different national and\/or supranational contexts\u201d. This session aims to serve as a meeting point for researchers whose object of study is education in historical and territorial perspective, regardless of the specific context, so as to generate synergies that result in a deepening of our knowledge of the educational phenomenon from these new approaches.<\/p>\n Coordinator: Ana Vi\u00f1uela<\/em><\/p>\n How to address territorial inequalities in order to allocate resources following the principles of social and spatial justice?<\/p>\n In order to do so, it is necessary to (topics) :<\/p>\n Coordinadores: Blanca de-Miguel-Molina, Mar\u00eda de-Miguel-Molina, Daniel Catal\u00e1-P\u00e9rez<\/em><\/p>\n Promotor: Proyecto ADSIDEO-Cooperaci\u00f3n 2020 UPV \u201cNeeds analysis for the design and implementation of a crowdfunding solution to support informal enterprises and micro-SMEs in the central area of Bogot\u00e1\u201d<\/em><\/p>\n International organisations, such as the International Labour Organisation and the World Bank, have been monitoring the impact of COVID-19 in different countries since the beginning of the pandemic. Among their conclusions, they have drawn the impact on specific population groups, associated with the destruction of formal employment, and the increase in informal employment, with the risk of an increase in extreme poverty. On the other hand, the capability of SMEs to obtain funding through formal resources has diminished due to uncertainty about the recovery capacity of the economy. This situation could spread the demand for informal loans, which entails higher interest rates, with the associated difficulties of reimbursement, and the growth of poverty risk for micro and small entrepreneurs. In this session, we will analyse the problems of informality and financial inclusion at the territorial level, in order to understand the differences within the country (Colombia) and between countries. We will also analyse the solutions that the territories have been adopting to achieve the Sustainable Development Goals related to financial inclusion.<\/p>\n <\/p>\n Coordinadores: Miguel A. M\u00e1rquez and Vicente Royuela<\/p>\n Changes Shift-Share analysis has been an effective tool for identifying the sources of socio-economic changes. The relevance of these analyses is clear, since detecting the types of changes that guide regional socio-economic processes can provide plausible hypotheses when making socio-economic policy recommendations to improve the regional performances. Today we realize that the a-spatial decomposition of regional change is important but that it is not sufficient to describe the whole dimension of socio-economic changes. Indeed, the spatial dimension of the regional socio-economic changes must be taken into account. The detection of the influences of space on the regional effects is, then, crucial, as they can inform about the types of regional policies needed to foster regional development. To fill this gap, numerous works have recently appeared that present contributions on the so-called spatial shift-share analysis.<\/p>\n As such, the overall aim of this special session is to bring together evidence and perspectives from different lines of study that build upon and support the foundations for the development of Spatial Shift Share Analysis. The proposed special issue will help corral together many of these positions within one single topic, helping to focus on the essence of the concept and its underpinnings, creating common standards for further research as well as giving greater credibility and exposure to Spatial Shift Share Analysis.<\/p>\n Coordinator: Professor Dr. Jos\u00e9 Hervas-Oliver<\/p>\nS02 – Big Data and Machine Learning Algorithms in Regional Science\u00a0<\/strong><\/h1>\n
S03 – Education and development in space and time: new perspectives<\/strong><\/h1>\n
S04 – Territorial inequalities and spatial (in)justice in Europe<\/strong><\/h1>\n
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S05 \u2013 Poverty risk, SMEs, and territory<\/strong><\/h1>\n
S06 \u2013 Measuring regional changes: the spatial shift-share<\/strong><\/h1>\n
S07 – Industry 4.0 and sustainability in regions, clusters & industrial districts<\/strong><\/h1>\n
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