Browsing by Author "Hedvičáková, Martina"
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- ItemAnalysis of Key Macroeconomic Indicators and Their Relationship to Unemployment in the Czech Republic(Technická Univerzita v Liberci, ) Hedvičáková, Martina; Pozdílková, Alena; Ekonomická fakultaThe Czech Republic boasts one of the lowest unemployment rates in the European Union, indicating a demand-supply imbalance in the labour market. This situation has implications for other labour market-related variables, such as nominal wages and labour productivity. In 2021, there was a significant increase in the inflation rate, reaching 15.1%. This development also impacted the trajectory of real wages. This article uses statistical analysis to predict the future economic trends of essential macroeconomic indicators related to the labour market. The dependence of individual variables on the unemployment rate will be determined through correlation analysis. Additionally, the study aims to assess the degree of independence between the unemployment rate and selected economic indicators, including nominal wages, labour productivity, real wages, and inflation. Future developments will be forecasted based on linear time series regression models for each examined variable. The statistical results will be economically interpreted in light of the current economic situation. Overall, the results of the correlation analysis indicate a significant statistical relationship between unemployment and nominal wages, suggesting a strong negative correlation between these variables. This finding aligns with macroeconomic expectations that an increase in unemployment leads to a decrease in the rate of nominal wage growth. The correlation analysis between unemployment and inflation reveals a moderate indication of a negative relationship between the two variables. However, the correlation analysis between unemployment and labour productivity and between unemployment and real wages indicates weak and insufficient evidence of any significant relationship between these variables. Therefore, further analyses and consideration of additional factors are necessary to obtain a more comprehensive and reliable understanding of these relationships.
- ItemBenefits of KPIs for industry sector evaluation: the case study from the Czech Republic(Technická Univerzita v Liberci, ) Hedvičáková, Martina; Král, Martin; Ekonomická fakultaCurrently, there is a fourth Industrial Revolution known as Industry 4.0. This industrialization is characterized by structural changes in the substitution of labour by new technologies and capital. The paper focuses on the industrial sector, which is dominant in the Czech Republic and has a significant contribution to GDP and value added. It describes the current economic situation in Czech Republic and in European Union.
- ItemPerformance Evaluation Framework under the Influence of Industry 4.0: The Case of the Czech Manufacturing Industry(Technická Univerzita v Liberci, ) Hedvičáková, Martina; Král, Martin; Ekonomická fakultaThe current economic situation creates general pressure to increase performance. Any inefficient use of production factors will lead to problems and long-term economic unsustainability in many industries. The effects of the Covid-19 pandemic will also have a negative impact on all sectors of the economy and the faster onset of the fourth industrial revolution. The article, therefore, proposes a new framework for the performance evaluation of the manufacturing industry, which is based on the composite performance indicator. This indicator is obtained by a cross-sectoral comparison of all sub-key performance indicators. Using cluster analysis and analysis of variance, a total of 6 indicators to evaluate performance in the manufacturing industry were selected as statistically significant. The added value of the whole concept is its direct independence on the economic situation, which eliminates short-term economic oscillations that would be reflected in classical methods of performance evaluation otherwise. The results show that some industries are more efficient in the long run due to their effective investments in the capital, which replaces the labour factor and creates room for the realization of relatively higher profits. By contrast, some sectors, despite high investments, do not achieve the desired level of performance – these investments are not efficient or they are complementary to the labour factor, thus denying the principles of Industry 4.0. It thus creates preconditions for increasing dependence on external factors and, at the same time, makes the given sectors in a freely competitive environment economically unsustainable in the long run.