A series of cluster and regional dynamics studies provide growing evidence that supports a hypothesis that industrial clusters evolve somewhat regularly through a series of stages. This stage or cycle theory views clusters as proceeding from initiation to some asymptotic limit with subsequent decline and/or rejuvenation, that is, resiliency. This chapter examines, on the basis of several case studies, the process or lack of a process that lagging or declining clusters use to reinvent themselves or fail. Examination of the case studies reveals five general types of histories that clusters and their regions, and their urban contexts appear to experience. From this research a typology of cluster dynamics (resiliency types) is proposed. Clusters in this chapter are defined as having a geographic locus as well as an extra local network component and are viewed from a systems perspective.
Browse by title
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.
Patrizio Bianchi and Sandrine Labory
Chapter 4 goes deeper in the analysis of the effects of digitalisation and hyperconnection, by focusing on the new market intermediaries, online platforms. Their boom in recent years is analysed, as well as their disrupting effects on certain industries. The economic analysis of platforms is reviewed. In terms of impact on industry and policy implications, the new issues raised in terms of privacy and especially market power are outlined, claiming that further reflection is needed to avoid monopolisation.
Lasse Gerrits and Stefan Verweij
We argue that infrastructure projects are complex and that evaluations of such projects need to do justice to that complexity. The three principal aspects discussed here are heterogeneity, uniqueness, and context. Evaluations that are serious about incorporating the complexity of projects need to address these aspects. Often, evaluations rely on single case studies. Such studies are useful because they allow researchers to focus on the heterogeneous, unique, and contextual nature of projects. However, their relevance for explaining other (future) projects is limited. Larger-n studies allow for the comparison of cases, but they come with the important downside that their relevance for explaining single projects is limited because they cannot incorporate heterogeneity, uniqueness, and context sufficiently. The method Qualitative Comparative Analysis (QCA) presents a promising solution to this conundrum. This book offers a guide to using QCA when evaluating infrastructure projects.
Patrizio Bianchi and Sandrine Labory
Masagus M. Ridhwan and Pakasa Bary
This chapter attempts to examine the effects of macroeconomic shocks across Indonesian regions. In doing so, we have developed structural macroeconomic models for 32 provinces, which are later estimated by around 28 pairs of ECM-based equations which represents demand-side output, supply-side output, monetary, fiscal, and prices in each economy. The responses are specifically evaluated due to four types of main shocks that are originated from both domestic economy based on credit volumes and administered price inflation, while from external shocks we use world output and exchange rate shocks, respectively. Our findings indicate there are systematic differential responses to the common shocks on both provincial output and inflation, that may well be related to the individual provincial economic structures and its specific characteristics. Java – the most developed and diversified economy – tends to be more resilient to the shocks relative to the off-Java regions. The models and estimation results tend to be robust by fulfilling classical econometrics assumptions and well-present the standard macroeconomic theory. The results also assert the importance of regional economic structures and characteristics in formulating nationwide macroeconomic policy.
Edited by Tüzin Baycan and Hugo Pinto
Tüzin Baycan and Hugo Pinto
This volume brings together regional scientists interested in the study of crisis and innovation dynamics. Resilience here is used as a bridging notion to connect different types of theoretical and empirical approaches to the comprehension of the impacts of economic turbulence at the system and actor levels. The volume helps to rethink how regional resilience can be improved and how the social aspects of vulnerability, resilience and innovation can be integrated. It also addresses recent theories and concepts related to research on crisis, resilience and innovation dynamics, providing a valuable overview and introduction to this rapidly emerging field for academics, policy-makers, researchers and students who share a common interest in and commitment to resilience and innovation.