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Labour market characteristics of Ukrainian employees with special regard to the North Great Plain region
Published August 12, 2013
67-72

...5); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">National Employment Public Foundation founded our research to examine the employment characteristics and job market importance of Ukrainian citizens in Hungary in 2008. As the means of our investigation we analysed available statistical data and conducted a survey. Ukrainian citizens working in Hungary with valid work permit were questioned. 226 people were in the sample.

Hungarian job market processes were not significantly affected by the officially employed Ukrainian citizens because their number was rather small in relation to the number of registered unemployed people and in relation to the available job positions. It can be stated that Ukrainian citizens mainly work in positions where high specialised knowledge is not a requirement.

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Comparison of Pálfai’s drought index and the Normalised Precipitation Index in the North Great Plain region
Published February 17, 2015
59-64

Agriculture has always been an important role in economy, food supplies, sustainability of society and creation of job opportunities in Hungary. Our country has resource-related strength of agriculture, because we have more than 4.5 million ha for agricultural production. Agricultural production can be influenced by several factors, including c...limate, hydrology, soil conditions and antropogenic impacts. Climate determines the quality and quantity of the crop yields. The climate conditions in Hungary are variable and it shows spatial and temporal extremes. As a result of this, drought have become more frequent in our country (2003, 2007, 2009, 2012), which is reflected in the decline in yields as well. In the present study, Pálfai's Drought Index (PAI) and the Standardized Precipitation Index (SPI) were compared 2003–2012 in Debrecen. The temperature and precipitation data were calculated from data provided by a local meteorological station to work out PAI, while the SPI-3 index values were downloaded from the database of the European Drought Observatory. This allowed to drought assessment in a local and regional scale. Our study was supplemented with SPI-3, soil moisture anomalies, PAI and yields of wheat (Triticum aestivum L.) and maize (Zea mays L.) to evaluating the impact of drought on agriculture.

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