scholarly journals Forecasting Alcohol Consumption in the Czech Republic

Author(s):  
Tereza Slováčková ◽  
Naďa Birčiaková ◽  
Jana Stávková

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.

2003 ◽  
Vol 20 (2-3) ◽  
pp. 159-180 ◽  
Author(s):  
Håkan Leifman

This study examines trends in alcohol consumption in Sweden from 1990 to 2002, with the emphasis on the period after 1995 with Sweden as a member of the European Union (EU). The specific aim of the study is to study gender-specific and age-specific trends in self-reported consumption by means of five general population surveys conducted between 1990 and 2002. Trends in the proportion of high consumers were also studied. Alcohol sales and estimates of unrecorded consumption indicate that Swedish per capita alcohol consumption (per person aged 15 or older) rose by approximately 27 per cent, from 7.8 litres of pure alcohol in 1990 to 9.9 litres in 2002. Approximately 90 per cent of this increase has occurred since 1996. Analyses of self-reported consumption from survey data confirm this trend with more than a 30 per cent increase for both genders (aged 16–75 years) since 1996. Among women, this is mainly due to increased wine consumption, and among men to augmented consumption of wine as well as beer. Furthermore, the proportion of high consumers has increased – and more so than the per capita consumption. The study also shows that changes in consumption during the period of 1990 to 2002 differ for the various gender-and age-specific groups. Among women, for in-stance, the increase since 1996 has been strongest for the oldest women (50–75 years of age), and since 1998 statistically significant only among this group. The weakest, and thus not statistically significant, increase has occurred among women between the ages of 30 and 49. It is important to track the changes not only among men and women and various age groups, but also in the different sub-groups of the population, since changes in per capita consumption are strongly related to changes in different alcohol-related problems. Other groups of importance are e.g. various social classes (including the long-term unemployed and people on long-term disability benefits), regions, family units and, not least, different drinking groups, including high consumers. Improved knowledge of how consumption changes in different socio-demo-graphic groups will also improve our understanding of the causes and mechanisms behind changes in alcohol consumption in society.


Author(s):  
Lenka Rumánková

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.


2019 ◽  
Vol 49 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Tomáš Středa ◽  
Hana Středová ◽  
Filip Chuchma ◽  
Josef Kučera ◽  
Jaroslav Rožnovský

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.


Author(s):  
Jana Stávková ◽  
Erich Maca

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.


2022 ◽  
Vol 132 ◽  
pp. 01006
Author(s):  
Veronika Machová ◽  
Veronika Šanderová ◽  
Petr Šuleř ◽  
Anna Hodinová

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.


Author(s):  
Beata Gavurova ◽  
Miriama Tarhanicova

Background: Alcohol is a risk factor with serious consequences for society and individuals. This study aims to present methods and approaches that might be used to estimate the costs related to excessive alcohol consumption. It emphasizes the need for general methods and approaches that are easily applicable, because the level of digitalization and data availability vary across regions. The lack of data makes many methods inapplicable and useless. The ease of applicability will help to make cost-of-illness studies and their results comparable globally. Methods: This study is based on data from the Czech Republic in 2017. Drinking alcohol results in costs of healthcare, social care, law enforcement, and administrative costs of public authorities. To quantify the cost of drinking in the Czech Republic, the top-down approach, bottom-up approach, human capital approach and attributable fractions were used. Results: In 2017, the cost related to alcohol was estimated at 0.66% of the national GDP. Lost productivity represented 54.45% of total cost related to alcohol. All cost related to alcohol is considered to be avoidable. Conclusions: The methods and approaches applied to estimate the cost of disease or any other health issue should be generalized regarding the availability of data and specifics of provided services to people who are addicted or have any kind of disability.


2007 ◽  
Vol 5 (3) ◽  
pp. 409-425 ◽  
Author(s):  
J. Vignerová ◽  
L. Humeníkova ◽  
M. Brabec ◽  
J. Riedlová ◽  
P. Bláha

2018 ◽  
Vol 18 (4) ◽  
pp. 371-385
Author(s):  
Veronika Kajurová ◽  
Dagmar Linnertová

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.


2013 ◽  
Vol 61 (2) ◽  
pp. 97-102 ◽  
Author(s):  
Miloslav Janeček ◽  
Vít Květoň ◽  
Eliška Kubátová ◽  
Dominika Kobzová ◽  
Michaela Vošmerová ◽  
...  

Abstract The processing of ombrographic data from 29 meteorological stations of the Czech Hydrometeorological Institute (CHMI), according to the terms of the Universal Soil Loss Equation for calculating long term loss of soil through water erosion, erosion hazard rains and their occurrence have been selected, with their relative amount and erosiveness - R-Factors determined for each month and years. By comparing the value of the time division of the R-Factor in the area of the Czech Republic and in selected areas of the USA it has been demonstrated that this division may be applied in the conditions of the Czech Republic. For the Czech Republic it is recommended to use the average value R = 40 based on the original evaluation.


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