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<p>Investigating wage growth in spatial dimensions is motivated by the uneven distribution of wage increases across EU regions, which creates significant disparities in living standards and economic opportunities between local labor markets. However, there is still a lack of research on spatial autocorrelation analysis of employee compensation growth by sectors and a detailed regional breakdown across the Visegrad group countries. Using both global and local Moran's I statistics, we investigate whether employee compensation growth exhibits significant spatial dependence and identify specific clusters of high-growth and low-growth regions across multiple economic sectors in the Visegrad Four. The temporal comparative analysis reveals significant shifts in spatial employee compensation dynamics between 2004–2013 and 2014–2022 periods. Global Moran's I statistics indicate the presence of overall spatial autocorrelation in employee compensation growth, while local indicators of spatial association identify statistically significant spatial clusters and outliers at the regional level. We expose strengthening spatial dependencies over time, complete geographic reconfiguration across periods, high volatility in spatial compensation growth patterns, and temporal heterogeneity. These findings contribute to understanding regional wage convergence processes in post-socialist economies and inform regional development policies targeting spatial inequalities in the Visegrad group countries.</p>

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Two decades, two stories: shifting spatial patterns of wage growth in the Visegrád group countries

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月28日

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  • Boris Hošoff,
  • Sergei Kharin

摘要

Investigating wage growth in spatial dimensions is motivated by the uneven distribution of wage increases across EU regions, which creates significant disparities in living standards and economic opportunities between local labor markets. However, there is still a lack of research on spatial autocorrelation analysis of employee compensation growth by sectors and a detailed regional breakdown across the Visegrad group countries. Using both global and local Moran's I statistics, we investigate whether employee compensation growth exhibits significant spatial dependence and identify specific clusters of high-growth and low-growth regions across multiple economic sectors in the Visegrad Four. The temporal comparative analysis reveals significant shifts in spatial employee compensation dynamics between 2004–2013 and 2014–2022 periods. Global Moran's I statistics indicate the presence of overall spatial autocorrelation in employee compensation growth, while local indicators of spatial association identify statistically significant spatial clusters and outliers at the regional level. We expose strengthening spatial dependencies over time, complete geographic reconfiguration across periods, high volatility in spatial compensation growth patterns, and temporal heterogeneity. These findings contribute to understanding regional wage convergence processes in post-socialist economies and inform regional development policies targeting spatial inequalities in the Visegrad group countries.