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Burcu Değerli Çifçi, Hasan Engin Duran. The Spatial Patterns of Regional Employment in Europe as a Measure of Economic Resilience in Recession Periods

Empirical literature in the field of regional resilience has most commonly concentrated on a unique economic shock. However, the existing studies have fallen short of comparing the resilience patterns across different crises. The purpose of this study is to investigate the geographical persistence of regional resilience across different recessionary shocks, namely: 1) the 2008–2010 Global Financial Crisis; 2) the 2011–2013 Sovereign Debt Crisis; 3) the 2019–2020 COVID-19 pandemic. The study covers 202 European Nuts II regions. It applied a range of empirical tools such as Markovian Transition Probability Matrices, Global Moran’s and Local Moran’s, Kolmogorov-Smirnov tests, Kendal’s tau, and Spearman’s correlation coefficient, as well as illustrative maps. As an outcome, several important conclusions are reached. First, the spatial pattern of resilience is not stable/persistent over time, as the three recessions tend to hit different places at different crisis times. Second, in general, Southern European regions are the most consistently fragile/vulnerable regions. Third, spatial patterns of resilience are weakly correlated across the different recessions. From the policy standpoint, it is understood that dealing with employment resilience is more difficult than previously thought by the policymakers. Since the resilience pattern is not stable spatially, each crisis should be evaluated separately and no generic policy rules can be formulated to foster the resilience. Thus, one can understand that although the sources of the crises are different, there may be some geographies that are structurally suffering the recessions which necessitate a consideration of the reasons and the formulation of the related policies.

Piotr Wójcik. Divergence or Convergence: Growth Dynamics of Polish Regions

The purpose of this article is to establish whether regional convergence is present in Poland in terms of GDP per capita. An analysis was conducted for the years 1995–2005 at the voivodeship (NUTS2), sub-regional (NUTS3 classification) and intra-voivodeship levels. Convergence means a reduction of income disparities between regions. The opposite phenomenon is called divergence. The author of the paper used a method – proposed by Quah (1993, 1996a, 1996b) – that enables an analysis of the full distribution dynamics of relative per capita income. It consists in the estimation of transition matrices derived from Markov’s processes and in the use of nonparametric kernel estimators of the relative density function for relative GDP distribution per capita in subsequent years. The method facilitates verification of the club convergence hypothesis, which is impossible using the classic methodology (Barro and Sala-i-Martin 2003). It is clear that income distribution is stable and that there is no unconditional convergence both between voivodeships and between sub-regions. In general, voivodeships as well as sub-regions were impoverished as a result of a faster-than-normal growth of the richest voivodeships (mazowieckie voivodeship) and sub-regions (large cities, mainly Warsaw and Poznan). The diversification of relative GDP per capita grows in time both in the case of voivodeships and sub-regions. The convergence model that can be seen both at NUTS2 and NUTS3 levels is club convergence (polarisation): relatively the poorest and – separately – the richest regions are becoming similar and converge at different income levels. The analysis also includes the occurrence of sub-region convergence within voivodeships, with the only observable convergence model being club convergence.

Phil Cooke. Proximities, Knowledges and Innovation Biographies

This paper proposes an analysis of the manner in which knowledge value chains derive specific but differentiated advantage from distinctive categories of knowledge over geographical space and time. It explores the problematic juxtaposition of tacit and codified knowledge transfer as a simple matter of conversations among binary actors, proposing the concept of "complicit` knowledge as a necessary category capturing the multitude of intermediary agents involved in actual knowledge translation to move from the implicit raw state to the explicit innovation representing new knowledge capable of attracting market demand.

Khrystyna Prytula, Anna Maksymenko, Nataliia Popovych, Halyna Ivasyk. Integrating the Ukrainian Garment Industry into Global Value Chains: National and Regional Dimensions

The garment production in Ukraine is an export-oriented industry. European countries, with the share of 90%, are the major partners in readymade clothes export. Ukrainian regions with the highest export capacity are determined by calculating the location quotient and export orientation level. The competitive advantages of domestic companies are revealed based on the SWOT analysis. The features of the garment industry as a complex system are examined using the methods of cognitive analysis. The expert survey of the garment enterprises revealed opportunities to expand their share within and beyond domestic market as well as prospects for increasing added value in the total export volume.