Suchergebnisse

The purpose of the study is to characterize and assess the influence of selected economic factors on the value of purchases made by Ukrainian citizens in Poland at the border (so-called unregistered turnover on customs declarations). The ex-change rate andlabour migration as well as the impact of political disorders that occurred at the end of 2013 in Ukraine were analysed in detail. The analysis covered the period 2009—2017. Data were derived from the questionnaires of the Statistical Office in Rzeszów, Local Data Bank of Statistics Poland, State Statistics Service of Ukraine and the Ministry of Family, Labour and Social Policy. The analysis of correlation and regression were used as the basic research tools. The results of the study show that political events affected cross-border trade indirectly through, inter alia, the exchange rate, which limited the expenses made by Ukrainian citizens in Poland. However, this impact was not strong enough to reverse the upward trend in cross-border shopping. The analyses did not provide statistically significant indications of a cause-and-effect relationship between labour migration flows of Ukrainian citizens to Poland and cross-border trade.

The paper evaluates the processes of regional income convergence in Poland. This new research approach involves an attempt to assess the process of convergence from the point of view of development gaps. Six key development gaps were considered in the region of Eastern Poland, which is a singular case, significantly different from other regions. A dynamic panel data model was applied to investigate the impact of EU funds on the progress made towards closing these development gaps. Among the analysed development gaps, only the structural gap was not reduced in the period 2004–2015. Studies have also revealed the different impact of structural funds on each category of development gaps (a positive impact on reducing the regional transport accessibility gap and the investment gap, but negative– on reducing the innovation gap). Research has suggested the need for a change in the structure of using EU funds in the period 2014–2020 to favour stronger support for entrepreneurship and the creation of new jobs. Greater stimulation of the economic structure of peripheral regions has been proposed as the prerequisite for the future reduction in the discrepancies between regions and for the intensification of convergence. First published online2 April 2019

The paper evaluates the processes of regional income convergence in Poland. This new research approach involves an attempt to assess the process of convergence from the point of view of development gaps. Six key development gaps were considered in the region of Eastern Poland, which is a singular case, significantly different from other regions. A dynamic panel data model was applied to investigate the impact of EU funds on the progress made towards closing these development gaps. Among the analysed development gaps, only the structural gap was not reduced in the period 2004–2015. Studies have also revealed the different impact of structural funds on each category of development gaps (a positive impact on reducing the regional transport accessibility gap and the investment gap, but negative– on reducing the innovation gap). Research has suggested the need for a change in the structure of using EU funds in the period 2014–2020 to favour stronger support for entrepreneurship and the creation of new jobs. Greater stimulation of the economic structure of peripheral regions has been proposed as the prerequisite for the future reduction in the discrepancies between regions and for the intensification of convergence. First published online2 April 2019

Purpose – The aim of the study is to assess the stability of agricultural household income in Poland in 1995–2021 and to identify the determinants of the volatility of this income. Research method – The stability of farmer's household income was compared with the income volatility of other socio-economic groups. Regression analysis was used to reveal the determinants of income volatility. Results – The income of farm households shows much greater year-on-year volatility than the income of households of employees and self-employed outside agriculture. Originality / value / implications / recommendations – The volatility of farm income is mainly influenced by the factors that determine the value of agricultural production and the costs of this production. Subsidies directed to farmers only mitigate the volatility of farm income.