scholarly journals Prediction of supply and demand for jobs in the Czech Republic

2022 ◽  
Vol 132 ◽  
pp. 01006
Author(s):  
Veronika Machová ◽  
Veronika Šanderová ◽  
Petr Šuleř ◽  
Anna Hodinová
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Labor Market ◽  
Human Resources ◽  
Supply And Demand ◽  
National Level ◽  
The Czech Republic ◽  
Online Databases ◽  
Short And Long Term

The topic of supply and demand for jobs is a very current and important topic, as their prediction contributes to the future operation of an organization. The base source of data is information and data obtained from online databases of the Ministry of Labor and Social Affairs of the Czech Republic. The aim of this work is to predict the supply and demand for jobs up to 2022, using the method of exponential alignment of time series. With the existence of natural unemployment, not all job positions will be filled. In such a situation, organizations will have to demand labor from abroad. In the event that organizations are unable to secure labor from abroad, they will have to reduce their activities and the associated volume of production they produce. Last but not least, the organization can start going bankrupt. In the forecast, we do not address the structure of unemployment by the highest attained education or by profession. We see the application benefits of the work in companies that manage human resources. At present, the prediction of future development is mostly at the national level and in the Czech Republic it is at the beginning of its journey. The developed methodology will enable organizations to monitor the current situation on the labor market and respond to changes in the short and long term.

scholarly journals Forecasting Alcohol Consumption in the Czech Republic

2016 ◽  
Vol 64 (6) ◽  
pp. 2133-2140
Author(s):  
Tereza Slováčková ◽  
Naďa Birčiaková ◽  
Jana Stávková
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Alcohol Consumption ◽  
Arima Model ◽  
The Czech Republic ◽  
Pure Alcohol ◽  
Excessive Consumption ◽  
Per Capita ◽  
Current Alcohol

The paper deals with a forecast of developments in alcohol consumption based on current alcohol consumption per capita (expressed in litres of pure alcohol), and time series extrapolations. Alcohol consumption is to be considered from the vantage point of knowing the specifics of the product and the consequences of its excessive consumption. The predictive methodology makes use of the Box‑Jenkins method; the ARIMA model, taking into account the autocorrelation and partial autocorrelation process, which is a prerequisite for the successful identification of a time series model; model parameter estimation; appropriate transformations of time series; determining the order of differentiation and subsequent verification of the model. The chosen methodology for future trends in alcohol consumptions is a prerequisite for the proposed optional measures to control alcohol consumption in the Czech Republic. Due to the long term nature of the process to draw up and implement alcohol consumption regulation measures, the forecast covers the forthcoming 10 years.

scholarly journals Examination of market structure in selected livestock agri-food chains in the Czech Republic

2012 ◽  
Vol 60 (7) ◽  
pp. 243-258 ◽  
Author(s):  
Lenka Rumánková
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Imperfect Competition ◽  
Wholesale Price ◽  
Price Transmission ◽  
Data Availability ◽  
Food Chains ◽  
Annual Data ◽  
The Czech Republic

This paper deals with a description of the most important livestock agri-food chains in the Czech Republic and an evaluation of their vertical price transmission. The paper examines the pork, beef, poultry, and milk agri-food chains generally from May 2004 to June 2011. The time series of selected variables contain biweekly, monthly or annual data and, according to data availability, contain a different number of observations within the selected period. The first part of the paper is focused on a descriptive analysis of the selected agri-food chains. Long-term developments and short-term fluctuations in production, supply and consumption, being the main factors which influence price level, are examined in particular. The second part of the paper is focused on vertical price transmission in the selected agri-food chains; specifically, the relationship between farm-gate price and wholesale price is examined and explained. For this purpose multivariate time series analysis is employed, namely the VAR and VECM models. Based on the empirical analysis, it could be concluded that the assumed long-term relationship was not confirmed for all analyzed agri-food chains. On the other hand, imperfect competition was confirmed; even its form may differ among the analyzed agri-food chains. However, generally speaking, one could say that wholesalers have a stronger position than farmers.

scholarly journals Smart method of agricultural drought regionalization: A winter wheat case study

2019 ◽  
Vol 49 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Tomáš Středa ◽  
Hana Středová ◽  
Filip Chuchma ◽  
Josef Kučera ◽  
Jaroslav Rožnovský
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Winter Wheat ◽  
Negative Impact ◽  
Potential Evapotranspiration ◽  
Agricultural Drought ◽  
Soil Conditions ◽  
Significant Deterioration ◽  
The Czech Republic

Abstract The occurrence of drought during flowering (usually from the end of May to the beginning of June) is the most hazardous timing in terms of the possible negative impact of agricultural drought on winter wheat, which is the most cultivated crop in the Czech Republic (about 800000 ha). Lack of water, often accompanied by high temperatures, negatively affects the number of grains in the wheat ear and the tissue development of the developing grain, with consequent impacts on yield and quality of product. With the use of a) long-term time series of agrometeorological data (1961–2010), b) long-term phenological time series of winter wheat (1981–2010), and c) soil conditions data (available water capacity of soils of the Czech Republic) for the arable soil, the ratio of actual evapotranspiration and potential evapotranspiration for the period of 1961–2010, used as an indicator of agricultural drought (lack of water) for wheat, was calculated. The innovative aspect of this categorization of the territory of the Czech Republic according to the risk of occurrence of agricultural drought for winter wheat is considering drought from the aspect of the plant, i.e., evaluation based on the actual consumption of water by the vegetation. This is a very sophisticated procedure. Frequently, water content in soils data, presented as an output of some models, do not fully indicate the possible negative impacts on yield generation because the plants themselves are typically not considered. The method used in this study is universally applicable and allows comparisons of regions at the local, regional, and supra-regional levels. For estimation of the development of agronomic drought in the future, the basic water balances in the growing seasons of 1961–2010 and 2071–2100 were compared using a climate scenario. The forecast indicates a significant deterioration of agricultural drought in the region with probable direct impacts on agricultural production.

scholarly journals Long-term Development of Time Series in Foreign Trade of the Czech Republic According to SITC Categories

2004 ◽  
Vol 52 (3) ◽  
pp. 35-50
Author(s):  
Jana Stávková ◽  
Erich Maca
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Time Series Analysis ◽  
Foreign Trade ◽  
Time Interval ◽  
The Czech Republic ◽  
Series Analysis ◽  
Balance Of Trade ◽  
Percentage Share

This contribution presents results obtained by means of a time series analysis of import, export, turnover, balance of trade, coverage indicator of export with import, according to SITC classes (3rd Rev.) in the Czech Republic for time interval 1993-2001. Along with description of dynamics of examined effects and their trends there following parameters were also classified: mean level, variability and percentage share of particular classification classes of foreign trade indicators.

Short- and long-term variability of radon progeny concentration in dwellings in the Czech Republic

2012 ◽  
Vol 153 (3) ◽  
pp. 334-341 ◽  
Author(s):  
M. Slezakova ◽  
K. Navratilova Rovenska ◽  
L. Tomasek ◽  
J. Holecek
Keyword(s):  
Czech Republic ◽  
Radon Progeny ◽  
The Czech Republic ◽  
Short And Long Term

scholarly journals Strategic Challenges of Human Resources Allocation in Industry 4.0

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 120
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Czech Republic ◽  
Human Resources ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
High Tech ◽  
Economic Sectors ◽  
The Czech Republic ◽  
Services Sector ◽  
Productivity And Competitiveness ◽  
Near Future

The emergence of the fourth industrial revolution (Industry 4.0, hereinafter I 4.0) has led to an entirely fresh approach to production, helping to enhance the key industrial processes and therefore increase the growth of labor productivity and competitiveness. Simultaneously, I 4.0 compels changes in the organization of work and influences the lives of employees. The paper intends to construct a model for predicting the allocation of human resources in the sectors of the national economy of the Czech Republic in connection with I 4.0. The model used in this research visualizes the shift of labor in the economic sectors of the Czech Republic from the year 2013 to the following years in the near future. The main contribution of this article is to show the growth of employment in the high-tech services sector, which will have an ascending trend.

Long-term changes in body weight, BMI, and adiposity rebound among children and adolescents in the Czech republic

2007 ◽  
Vol 5 (3) ◽  
pp. 409-425 ◽  
Author(s):  
J. Vignerová ◽  
L. Humeníkova ◽  
M. Brabec ◽  
J. Riedlová ◽  
P. Bláha
Keyword(s):  
Body Weight ◽  
Czech Republic ◽  
Children And Adolescents ◽  
The Czech Republic ◽  
Adiposity Rebound ◽  
Long Term Changes

scholarly journals Loose Monetary Policy and Corporate Investment of Manufacturing Firms in the Czech Republic

2018 ◽  
Vol 18 (4) ◽  
pp. 371-385
Author(s):  
Veronika Kajurová ◽  
Dagmar Linnertová
Keyword(s):  
Monetary Policy ◽  
Czech Republic ◽  
Interest Rates ◽  
Corporate Investment ◽  
Manufacturing Firms ◽  
Investment Activity ◽  
The Czech Republic ◽  
Low Interest Rates ◽  
Negative Effect

Abstract The aim of the paper is to evaluate the effects of loose monetary policy on corporate investment of manufacturing firms in the Czech Republic during the period between 2006 and 2015. The main focus of the paper is on the effect of low interest rates on investment activity of Czech firms; additionally, the effects of interactions between interest rate and other firm-specific variables are investigated. The results indicate that corporate investment is positively associated with firm size, investment opportunities, and long term debt. Also, a negative effect of the cash position is found. Further, the findings show that monetary policy is a significant determinant of firm investment activity: when the monetary policy is loose, investment is positively affected. Furthermore, differences in the determinants of investment between highly and low leveraged firms were revealed.

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