Resilience, Crisis and Innovation Dynamics
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Resilience, Crisis and Innovation Dynamics

Edited by Tüzin Baycan and Hugo Pinto

Resilience has emerged as a recurrent notion to explain how territorial socio-economic systems adapt successfully (or not) to negative events. In this book, the authors use resilience as a bridging notion to connect different types of theoretical and empirical approaches to help understand the impacts of economic turbulence at the system and actor levels. The book provides a unique overview of the financial crisis and the important dimension of innovation dynamics for regional resilience. It also offers an engaging debate as to how regional resilience can be improved and explores the social aspects of vulnerability, resilience and innovation.
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Chapter 4: Learning regions for resilience in Hungary: challenges and opportunities

Magdolna Benke, Klára Czimre, Katalin R. Forray, Tamás Kozma, Sándor Márton and Károly Teperics


Our study reconsiders the results of the LeaRn (Learning Regions in Hungary: From Theory to Reality) research project, focusing on the potential contribution of learning regions to regional resilience. After drawing attention to some key points of the theoretical background of learning regions and resilience, we present the results of the statistical examination of the spatial centres of learning and identify the potential learning regions in Hungary. Finally, we explain the main findings of case studies which indicated (if not proved) the connection between successful community learning and socio-economic resiliency. The complex indicator and map of learning regions convey important messages about the conditions and potentials of the evolution of learning regions, learning cities and learning communities in Hungary including the area of regional resilience. Our hypothesis, therefore, is that learning regions in Hungary have the potential for becoming resilient regions as a consequence of the geographic, cultural and social proximity. The study offers evidence to confirm the role of the LeaRn Index set up for the Hungarian learning patterns in this process. Comparing the learning patterns of the Hungarian settlements with socio-economic indicators allows us to conclude that those regions which are more open to learning have better economic indicators and well-being indexes.

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