Our main research fields
GLOBAL PRODUCTION NETWORKS
REGIONAL INNOVATION SYSTEMS
P Netrdova, V Nosek (2020)
ISPRS International Journal of Geo-Information 9 (6), 401
This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002–2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment and its evolutionary tendencies on a municipal level. To achieve this goal, global and local spatial autocorrelation methods were used. Besides spatial and space-time analyses, special attention was given to spatial weight matrix selection. The spatial weights were created according to real-time accessibilities between the municipalities based on the Czech road network. The results of spatial autocorrelation analyses based on network spatial weights were compared to the traditional distance-based spatial weights. Despite significant methodological differences between applied spatial weights, the resulting spatial pattern of unemployment proved to be very similar. Empirically, relative stability of spatial patterns of unemployment with only slow shift of differentiation from macro-to microlevels could be observed.
P Netrdová, V Nosek, P Hurbánek (2020)
ISPRS International Journal of Geo-Information 9 (2), 126
When working with regional data from different countries, issues concerning data comparability need to be solved, including regional comparability. Differing regional unit size is a common issue which influences the results of socio-economic analyses. In this paper, we introduce a strategy to deal with the regional incomparability of administrative data in international research. We propose a methodological approach based on the areal interpolation method, which facilitates the usage of advanced spatial analyses. To illustrate, we analyze spatial patterns of unemployment in seven Central European countries. We use a very detailed spatial (municipal) level to reveal local tendencies. To have comparable units across the whole region, we apply the areal interpolation method, a process of projecting data from source administrative units to the target structure of a grid. After choosing the most suitable grid structure and projecting the data onto the grid, we perform a hot spot analysis to show the benefits of the grid structure for socio-economic analyses. The proposed approach has great potential in international research for its methodological correctness and the ability to interpret results.
V Kveton A Belohradsky, J Blazek (2020)
Papers in Regional Science
This paper aims at an understanding of acquisition processes in a strongly industrialized and export‐oriented economy in Central Europe. Drawing on a proximity framework and behaviour theory, the paper investigates that the geographical proximity dimension is more influential than the cognitive proximity dimension. At the same time, cognitive proximity matters more for foreign firms investing into the economy than for domestic acquisitions. While the role of cognitive proximity diminished during the economic crisis, geographical proximity keeps its importance throughout the economic cycle. Moreover, cognitive proximity has become more important for acquisitions of large companies and less for SMEs.
P Pavlinek (2020)
Journal of Economic Geography 20 (2), 509-541
This article draws on Harvey’s theory of uneven development and spatio-temporal fix to conceptualize the changing geography of the European automotive industry based on the spatial profit-seeking strategies of automotive firms. It employs the spatial concept of integrated peripheries, in order to explain the growth of the automotive industry in peripheral regions and its contemporaneous restructuring in existing locations. The empirical analysis is based on 2124 restructuring events of large automotive industry firms in the European Union countries and Norway between 2005 and 2016, and on 91 interviews with foreign automotive industry subsidiaries conducted in Czechia and Slovakia between 2009 and 2015. Large differences in labor costs and other production costs across the European Union explain the growth in the East European integrated periphery and simultaneous restructuring in both traditional core regions and old integrated peripheries in Western Europe. The empirical analysis also confirmed the increasing internationalization and the decreasing role played by large domestic firms in the European automotive industry.
Department of Social Geography and Regional Development
Faculty of Science, Charles University
Albertov 6, Prague 2
128 43 Czechia