scholarly journals REAL WAGES AND UNEMPLOYMENT RATE RELATION - THE CASE OF THE CZECH REPUBLIC 1998-2010

2011 ◽  
Vol 11 (4) ◽  
pp. 136-144
Author(s):  
Elena Mielcová
2019 ◽  
Vol 9 (6) ◽  
pp. 1351
Author(s):  
Ladislav MURA ◽  
Patrik KAJZAR

The aim of this paper is to evaluate the impact of occupancy in accommodation establishments in the Czech Republic at an average pace of real wage growth (%), GDP (%) and unemployment rate (%) in the period 2007-2016. The main sources of information utilized in contributions are based on tourism statistics and selected macroeconomic indicators obtained from the website of the Czech Statistical Office. The data was analysed using SAS software. The authors use regression analysis. It deals with dependence of the quantitative variable on one or more quantitative variables. The main results of this survey indicate an increase of  occupancy in collective acommodation establishements in the Czech Republic between 2007 - 2016, as well as a moderate increase was detected in  real wages and the GDP. While detecting an  increase of  occupancy in collective acommodation establishements in the Czech Republic, the fall of unemployment rate was recognized.


Populism ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 257-287
Author(s):  
Olga Lavrinenko

Abstract This article investigates the socio-economic and socio-political origins of populism in the Czech Republic and Hungary, discussing the reasons for the national specificity of the populism. Despite the similar triggers that had led to the strengthening of the populists, the nature of the populism in these countries is different. In the Czech Republic, populism has a technocratic nature, while in Hungary—a nativist. I presume that the rise of the unemployment rate as the result of the 2008 Great Recession contributed to the decline in the confidence towards the national and the EU parliament as well as to the rise of the negative attitudes towards migrants. In their turn, the lower level of institutional trust and the negative attitudes towards the migrants correlate with the voting for the populist parties on the national and the European elections.


2016 ◽  
Vol 24 (1) ◽  
pp. 86-87 ◽  
Author(s):  
Jan Brož ◽  
Marek Brabec ◽  
Denisa Janíčková Žďárská ◽  
Martina Novotná ◽  
Milan Kvapil

2020 ◽  
Vol 15 (1) ◽  
pp. 55-63
Author(s):  
Maya Lambovska ◽  
Boguslava Sardinha ◽  
Jaroslav Belas, Jr.

Youth unemployment is a problem in each member country of the European Union (EU). The EU seeks to alleviate this problem by implementing various programs to support young people in finding and keeping a job, thus contributing to economic growth. In 2020, the world was hit by the COVID-19 pandemic. The countries have introduced many strict measures to prevent its spread, but they have caused a significant increase in unemployment, including among young people, and thus harmed economic growth. In this paper, we analyze the unemployment of people under the age of twenty-five in the EU. We also point out how unemployment rates have increased in individual countries. This problem concerns not only countries where the youth unemployment rate had been high already, such as Greece, Spain, and Italy, but also countries with previously lower rates, for example, the Czech Republic, Netherland, Poland, and Slovenia. In the latter group of countries, the youth unemployment rate has doubled in some cases due to anti-pandemic measures. We found that the most affected countries in this regard are the aforementioned Czech Republic, where the unemployment rate at the end of 2020 rose to 2.19 times above the level at the end of 2019, and Estonia, where year-over-year youth unemployment rose by a factor of 2.5. However, unfavorable developments occurred also in Lithuania, Latvia, and Ireland. According to our results, in 2020, youth unemployment increased the least in Hungary, Italy, and Belgium. In general, however, as the situation is now much more urgent, measures to alleviate this problem need to be put in place in each country to help young people find employment and, thus, stimulate economic growth.


2019 ◽  
Vol 70 (6) ◽  
pp. 833-848
Author(s):  
Radka Redlichová ◽  
Gabriela Chmelíková ◽  
Ivana Blažková ◽  
Vojtěch Tamáš

The aim of this paper is to investigate socio-economic development drivers of NUTS 3 regions in the Czech Republic. The aim is fulfilled by examination of the relationship between one of the regional development factors – the companies’ size structure and the development of the region from both socio and economic views. We derive from the theory of diversification and prior empirical findings, and empirically test the role of companies’ size in regional development. We use a balanced dataset of 14 regions covering the years 2000 – 2016 that provides the information about regions’ socio-economic performance in terms of GDP and unemployment rate. We hypothesise that unemployment rate in the regions with higher share of small firms is less sensitive to the general trend of the whole economy. However, the higher share of small firms leads to improved regional GDP. Our findings confirm that small firms accelerate economic growth while playing a role of a social stabiliser in Czech regions. Our conclusions could help in designing the regional policy in the Czech Republic.


2012 ◽  
Vol 49 (No. 12) ◽  
pp. 571-578 ◽  
Author(s):  
J. Dufek

The paper deals with statistical analysis of the registered regional unemployment rate in regions and districts of the Czech Republic from 1998 to 2002. Regional unemployment reaches significantly different levels; moreover, within the examined period, differences were increasing: variance between the minimum and the maximum increased approx. from 12% to 20% in the respective districts. By means of cluster analysis, regions are divided into more homogenous groups according to the registered unemployment rate by 31 December 2002. The following districts may be identified as the best ones: Praha-západ (Prague-West), Praha-východ (Prague-East), Praha (Prague) and Benešov; the following as the worst ones: Most and Karviná. Concerning regions, the lowest unemployment level may be identified in Praha (Prague); on the contrary, the highest levels were reached in Ústecký region and Moravskoslezský region. Variability, skewness and peak characteristics were calculated to evaluate the development of regional unemployment distribution. The average rose from 5.63% to 9.94%, the standard deviation rose from 2.53% to 4.15%, the variation coefficient stayed around 0.4. Thus, together with the increase in unemployment level, the absolute variability rose while the relative variability stayed approx. constant. The rate distribution was left-sided and increasing; the peak was only slightly higher than the standard peak. The development trend of the characteristics was evaluated by means of linear functions and higher order polynomials; their seasonal variation is described by seasonal indices differing in the degree of their seasonality and distribution in the course of a year. A correlation matrix demonstrates the relations between the trend of the characteristics and their seasonal indices.


Geografie ◽  
1996 ◽  
Vol 101 (4) ◽  
pp. 265-277
Author(s):  
Jiří Blažek

The article deals with the development of inter-regional disparities in the Czech Republic during the period of transition. Regional disparities are firstly set into wider context of regional development theories and consequently, disparities within the Czech Republic are compared with those in EU member states. Since the unemployment rate in the Czech Republic is unusually low, the interregional disparities seem small. However, the coefficient of variation reveals the contrary. Finally it is concluded that the inter-regional disparities in average incomes are still only a fraction of the disparities in economic preformance of the regions.


Author(s):  
Lenka Procházková ◽  
Miroslav Radiměřský

Regional development in the Czech Republic contributed to the fact that at present none of the regions is significant backward compared to other. Individual regions have shown among themselves certain differences. This applies in particular to the economic performance of regions. This paper introduce results of our research. Main aim of the work was to indentify economic performace affecting factors of regions NUTS 3 in Czech Republic. It was necessary to define quantity of economic performance to meet this goal. We used them to create method of valuating economic performance of regions. We weighed quantities (e.g. GDP, unemployment rate, net disposable income) according to their importance. This procedure was applied to individual regions. We determined the level of economic performance of Czech regions. We present overview of factors and using statistical methods we test their importance to the economic performance of Czech regions.


Geografie ◽  
1996 ◽  
Vol 101 (4) ◽  
pp. 278-295
Author(s):  
Jiří Tomeš

The paper examines the unemployment rate in the Czech Republic - a remarkable aspect of general transformation in the Czech Republic. From the structural standpoint, the unemployment remains very low. Using the method of regional comparison the author shows regional disparities and changing patterns of male and female unemployment, unemployment of young people (under 25), long-term unemployment and unemployment by educational level.


2020 ◽  
Vol 14 (2) ◽  
pp. 123-136
Author(s):  
Eva Lajtkepová

Regions as higher territorial self-governing units were established in the Czech Republic on the basis of Constitutional Act No. 347/1997 Coll. Their territory was delimited by the territory of the listed districts. The regions show various differences in social, demographic, but naturally also economic development. The text focuses on differences in the development of wages, covering the period of 2011–2018. Wages in all regions were growing in these years, but this growth was not uniform: the lowest wages (the 1st decile wages) were growing most, the highest wages (the 9th decile wages) showed the lowest growth. Four groups (clusters) of regions were identified by the cluster analysis according to the typical development of the lowest and the highest wages. In these groups, we focused on typical factors of the wage level formation: the economic level (measured as GDP per capita), the unemployment rate and the educational level (the share of the population with basic and university education). The results of the correlation analysis showed a moderate direct relationship between the economic level and the 9th decile wages, a moderate to strong indirect dependence between the low wages of the 1st decile and the unemployment rate, but the results of the correlation analysis between the variables the educational level and wages were not very conclusive.


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