Regional Science Policy and Practice最新文献

This paper empirically explores the propagation mechanisms through which exogenous shocks are diffused and amplified throughout the input-output network structure of regional economies in the European Union. To do so, it develops weighted and directed input-output network models across the European Union (EU) NUTS-2 regions and computes measures of network typology capturing connectivity, centrality, and clustering. Network analysis facilitates a clustering of the EU countries into groups of common topological features, favoring a mix of tailored policies per each group. Spatial regression analysis reveals that the intensity of the sectors’ clustering is positively associated with regional resilience, while the sectorial clustering of regions negatively affects their resilience to exogenous shocks, revealing a competitive relationship between network topology and functionality in the configuration of regional resilience. The overall approach provides a methodological framework for an instrumented policy making and empirically highlights the importance of innovation and knowledge-based policies for enhancing regional economic resilience.

While intergovernmental cooperation has received significant attention in research, inter-village government collaboration remains understudied. This study examines agrotourism development in Tanggeran, Kemawi, and Klinting villages in Banyumas Regency, Indonesia, exploring opportunities and challenges. Using a qualitative approach with interviews, document analysis, and observations, it evaluates collaborative strategies and identifies hindrances. The results reveal a misalignment between development strategies and village potentials, with a problem-solving approach neglecting inherent capabilities. Institutional frameworks display inefficiencies, with inadequate infrastructural development for agrotourism promotion. The study suggests a shift towards leveraging strengths and improving institutions and infrastructure, providing valuable insights for future collaborative agrotourism efforts.

Research on change agency provides sophisticated analytical frameworks for exploring the dynamic processes leading to cluster development. Yet context-specific policy recommendations are lacking. This paper takes an actor-centric approach to explore the Odense robotics cluster in Denmark with the aim to link the levels, roles, and types of change agency along the cluster life cycle with specific cluster policy actions. Our findings provide insights into the roles and activities of different forms of change agency during cluster development and implications for supporting cluster growth in organizationally thick regions. Thus, we suggest that cluster development requires an increasingly broad and outward-looking policy mix.

Startups, understood as new forms of innovative and fast-growth ventures, are emerging in traditional industries, creating intense competition and displacing former leaders. Our study focuses on location theory embedded in institutional and resource context and its application to startups in the Visegrad countries. We know a lot about the location choices made by small and medium-sized enterprises (SMEs). However, research on the location preferences of startups is limited, especially within the transition economies of Central and Eastern Europe. We investigated the differences in location decisions between startups and SMEs and those between startups located in metropolitan areas and rural areas. A study on the location decisions of startups was conducted in 2021 using mixed methods. The research showed that local factors strongly influence startups. It may seem obvious that large cities provide startups with access to resources, markets and support through the local innovation ecosystem. However, our analysis identified three significant differences between startups and traditional SMEs regarding location choice. For startups, the availability of skilled workforce and an R&D center/research university is more difficult. In contrast, local (family) ties and rootedness are more important for rural startups than metropolitan ones. This study provides new evidence on how spatial externalities affect innovative startups in the Visegrad countries and identifies factors that influence the location of startups in urban and rural areas, with a particular focus on Hungarian startups. For the latter, the study shows that state aid to startups has an ambiguous effect on the shape of the ecosystem, producing contradictory effects on the development of startups in the region. Given the methodological limitations described in our paper, further research is advisable to deepen the study of localization theory in the context of startups in the CEE region, especially in the V4 counties.

Intermediate cities have started competing for capital, thus becoming privileged sites for economic growth and policy formulation in agricultural, industrial, and service production areas. However, this process, driven by speculative urban development, exacerbates problems such as socio-spatial segregation, leading to an unequal production of urban space. Under this logic, the city of Montería is not the exception since, in recent decades, it has experienced unprecedented urban growth primarily driven by the private real estate market. Therefore, this research aims to study the urban transformations of the city of Monteria from 2006 to 2021 to determine, based on documentary information, spatial analysis techniques, and related cartography, which attributes of “neoliberal urbanism” are manifest and reproduced throughout the city and their consequences. The results show that current urban policies and planning instruments promote and transfer the responsibility of modelling growth towards new expansion zones to the private sector, generating profound transformations on the territory and exacerbating socio-spatial segregation.

This paper attempts to study to what extent Tunisian industrial exports have been resilient during the COVID-19 pandemic. For this purpose, we tested for structural breaks using the Bai-Perron test and monthly data on industrial exports from January 2014 to December 2022. Using the autoregressive distributed lag model, we show that the structural break detected during the pandemic had no negative impact on industrial exports. Besides, the effects of the stringency index had, in the long run, an insignificant impact on Tunisian industrial exports, implying that the latter have proven resilient against the global health crisis. Furthermore, our empirical findings reveal that, in the long run, investment in totally exporting industries and industrial production have a positive impact on industrial exports, while the real effective exchange rate has a negative impact. The present study has many implications, mainly increasing confidence in Tunisia as a resilient economy during crises. It also provides evidence that geographic proximity and resilient trading partners can play a role in mitigating the impact of the COVID-19 pandemic and contributing to a more effective response in times of crisis.

This study uses Chinese firm export data to investigate the heterogeneous impact of economic policy uncertainty (EPU) faced by firms on export recovery, and then explores the moderating effect of the regional digital economy. We find that the rise in EPU due to external shocks weakens firms’ export recovery. By reducing export costs and improving export margins, the development of the regional digital economy mitigates this weakening effect, but this effect is pronounced in more productive firms. These findings provide policy insights for improving supply chain stability under uncertainty, and thus promoting collaborative development of the real-economy and digital economy.