scholarly journals Ecological and economic multicriteria optimization of operating alternative propulsion vehicles within the city of Ostrava in the Czech Republic

Equilibrium ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. 907-943
Author(s):  
Kamila Janovská ◽  
Iveta Vozňáková ◽  
Petr Besta ◽  
Marek Šafránek
Keyword(s):  
Czech Republic ◽  
Public Transport ◽  
Value Added ◽  
Evaluation Procedure ◽  
Data Set ◽  
The Czech Republic ◽  
Advantages And Disadvantages ◽  
Multi Criteria Evaluation ◽  
Depth Analysis ◽  
The City

Research background: Individual car transport significantly burdens the environment, especially in the centres of large cities. There is pollution, traffic jams and an increase in overall noise. In the area of passenger car transport, legislation is being significantly tightened. Therefore, there are also increasing demands on public transport operators in the Czech Republic. Previously, most of the fleet consisted of diesel vehicles. These have been gradually replaced by drives that are significantly more environmentally friendly, such as the Compressed natural gas drive. The requirements defined in relation to the reduction of vehicle emissions are increasingly stricter. A number of cities, not only within the European Union, are addressing significant issues concerning the future of public transport. Purpose of the article: The main objective of the article is to demonstrate an in-depth analysis of the operation of transport vehicles in the Statutory City of Ostrava, both from the cost and environmental point of view. The comparison of transport means using CNG, electric and diesel propulsion is made. Specific factors such as the route profile or the environmental impact of the mode of transport are also taken into account. The extent of the data processed and the multidimensional nature of the assessment offer a unique analysis of the problem. The article provides an exact view of the advantages and disadvantages of operating specific means of transport. Everything is based on data on transport operations in the city of Ostrava (the Czech Republic, EU). Methods: The comprehensive evaluation is based on the application of methods from the field of financial accounting, evaluation of measured data from the operation of transport means and, last but not least, on the analysis of empirical data from the given area. The analysed data set is unique due to the time period, as is the multi-criteria evaluation methodology.  Findings & value added: The analysis performed demonstrated the economic viability of operating CNG vehicles. The main added value of the article is the unique multi-criteria evaluation procedure for the vehicles. The paper shows the evaluation of a complex decision problem in the transport field in the form of a case study implemented in the city of Ostrava. The evaluation results then consider both cost and environmental factors, which can be described as a comprehensive and highly innovative approach. The defined assessment can then be applied to other European and world metropolises.

scholarly journals The use of neural networks to determine value based drivers for SMEs operating in the rural areas of the Czech Republic

2020 ◽  
Vol 11 (2) ◽  
pp. 325-346 ◽  
Author(s):  
Jaromír Vrbka
Keyword(s):  
Neural Networks ◽  
Czech Republic ◽  
Rural Areas ◽  
Economic Value ◽  
Value Added ◽  
Value Drivers ◽  
Data Set ◽  
The Czech Republic ◽  
The Difference ◽  
A Company

Research background: In the past, the main objective of a company was to generate sufficient profit. Nowadays, a company must seek to achieve much broader objectives. To be successful in this pursuit, it must not only measure financial performance, but also monitor internal and external developments, increase shareholders’ wealth and protect the interests of other stakeholders, i.e. to analyze and act on those factors that affect company value. Purpose of the article: The objective of the contribution is to determine through the use of artificial neural networks the relationship between business value drivers, or value based drivers (VBD), and EVA Equity, which is economic value added (EVA), of small and medium-sized enterprises operating in the rural areas of the Czech Republic. Methods: The data was obtained from the Bisnode´s Albertina database. The data set consists of the profit and loss accounts for 2013 to 2017 of small and medium-sized enterprises operating in rural areas of the Czech Republic. Two scenarios are analyzed. In the first, the independent variables are only the value drivers, whereas in the second, company location (region) is included. The objective is to find the dependence of EVA Equity on individual VBD and company location. A sensitivity analysis is conducted, on the basis of which the importance of individual value drivers and company location is determined. Findings & Value added: The output is a set of value drivers, which could be used by company managers to regulate the growth of EVA Equity, i.e. value for shareholders. The findings reveal that the difference between successful and unsuccessful companies is determined by the level of involvement of human capital; companies use a large number of substitutes for factors of production, whereby the involvement of borrowed capital is likely to cause a positive financial leverage effect.

scholarly journals The application of Kohonen networks for identification of leaders in the trade sector in Czechia

Equilibrium ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 739-761 ◽  
Author(s):  
Jaromír Vrbka ◽  
Elvira Nica ◽  
Ivana Podhorská
Keyword(s):  
Neural Networks ◽  
Cluster Analysis ◽  
Czech Republic ◽  
Value Added ◽  
Financial Statements ◽  
Data Set ◽  
The Czech Republic ◽  
Return On Equity ◽  
Kohonen Networks ◽  
Trade Sector

Research background: The trade sector is considered to be the power of economy, in developing countries in particular. With regard to the Czech Republic, this field of the national economy constitutes the second most significant employer and, at the same time, the second most significant contributor to GNP. Apart from traditional methods of business analyzing and identifying leaders, artificial neural networks are widely used. These networks have become more popular in the field of economy, although their potential has yet to be fully exploited. Purpose of the article: The aim of this article is to analyze the trade sector in the Czech Republic using Kohonen networks and to identify the leaders in this field. Methods: The data set consists of complete financial statements of 11,604 enterprises that engaged in trade activities in the Czech Republic in 2016. The data set is subjected to cluster analysis using Kohonen networks. Individual clusters are subjected to the analysis of absolute indicators and return on equity which, apart from other, shows a special attraction of individual clusters to potential investors. Average and absolute quantities of individual clusters are also analyzed, which means that the most successful clusters of enterprises in the trade sector are indicated. Findings & Value added: The results show that a relatively small group of enter-prises enormously influences the development of the trade sector, including the whole economy. The results of analyzing 319 enterprises showed that it is possible to predict the future development of the trade sector. Nevertheless, it is also evident that the trade sector did not go well in 2016, which means that investments of owners are minimal.

scholarly journals Analysis of the development of the economic account for agriculture of the Czech Republic

2012 ◽  
Vol 52 (No. 5) ◽  
pp. 205-208
Author(s):  
J. Klíma ◽  
M. Palát Sn
Keyword(s):  
Czech Republic ◽  
Statistical Analysis ◽  
Value Added ◽  
Plant Production ◽  
Reference Period ◽  
The Czech Republic ◽  
Agricultural Industry ◽  
Increasing Trend ◽  
Production Output ◽  
Net Value Added

The paper is focused on assessing the development of the economic account for agriculture of the Czech Republic in the selected reference period 1998–2003. There were evaluated effects of the particular types of the economic accounts. Methods of regression and correlation analysis and development trends were used for the mathematical-statistical analysis. The plant production output similarly as the output of agricultural industry show an increasing tendency since the period under investigation reaching a peak about 2001 and in next years decreasing in difference to the gross value added at basic prices and the net value added at basic prices which shows an increasing trend throughout the period. Both animal output and the agricultural services output show a decreasing trend reaching a minimum about 2002. 

scholarly journals Problems of Disabled Persons in Public Transport in the Czech Republic in the Light of Results of Research Conducted in Poland.

2018 ◽  
Vol 2018 (4) ◽  
pp. 11-19
Author(s):  
Izabela Bergel ◽  
Elżbieta Marciszewska ◽  
Jaroslav Matuska ◽  
Vera Zahorova
Keyword(s):  
Czech Republic ◽  
Public Transport ◽  
Disabled Persons ◽  
The Czech Republic ◽  
Reduced Mobility

In the article we describe the fundamental problems of disabled persons in public transport in the light of results of research conducted in the Czech Republic. This article has arisen in framework of grant nr 11420036 “Rights of Passenger with Reduced Mobility in V4 Countries” supported by International Visegrad Fund, 2014-2015. This article correspond to the previous text in Przegląd Komunikacyjny nr **describing fundamental problems of PRM in Poland.

scholarly journals A Modern Industrial Policy for the Czech Republic: Optimizing the Structure of Production

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3095
Author(s):  
Maria Markaki ◽  
Stelios Papadakis ◽  
Anna Putnová
Keyword(s):  
Czech Republic ◽  
Industrial Policy ◽  
Motor Vehicle ◽  
Value Added ◽  
Electrical Equipment ◽  
Pharmaceutical Products ◽  
Global Market ◽  
Output Analysis ◽  
The Czech Republic ◽  
Restructuring Process

The decreased demand for new vehicles will put pressure on the economy of the Czech Republic, a country deeply integrated into global value chains, as part of global vehicle production. The aim of this research was to define an appropriate industrial policy for the Czech Republic that will ensure that the country maintains its competitive position in the global market. A constrained optimization model was built, based on input–output analysis, to determine the optimal value-added structure and the intersectoral structure of the Czech economy for the country to retain its exporting character. The optimization problem was solved by using a particle swarm optimization algorithm. The results suggest that the optimal industrial policy plan for the country is the structural transformation of production, mainly targeting the development of technologically advanced sectors of manufacturing (such as: chemicals and chemical products; basic pharmaceutical products; computer, electronic, and optical products; electrical equipment; and machinery and equipment). The suggested restructuring process increased the domestic value-added in gross exports as a share of total exports by 6.77%, creating optimal production capabilities for the economy. The Czech Republic appears to have the potential for the implementation of an industrial policy, avoiding the increasingly vulnerable motor-vehicle sector.

scholarly journals Primary care and the early phases of schizophrenia in the Czech Republic

2010 ◽  
Vol 19 (3) ◽  
pp. 243-250
Author(s):  
David Holub ◽  
Barbora Wenigová ◽  
Daniel Umbricht ◽  
Andor E. Simon
Keyword(s):  
Primary Care ◽  
Czech Republic ◽  
Warning Signs ◽  
Outpatient Services ◽  
The Czech Republic ◽  
Mental Health Reforms ◽  
Low Threshold ◽  
The City ◽  
Early Phases

SUMMARYAim– To explore knowledge, treatment setting, attitudes and needs associated with patients in early phases of psychosis among general practitioners (GPs) in Prague, andto compare results with GPs from 6 countries participating in theInternational GP Study(IGPS)on Early Psychosis(Canada, Australia, New Zealand, England, Norway,Austria).Methods– Survey questionnaires were mailed to 648 GPs in the city of Prague.Results– The response rate was 19.9%. Prague GPs showed significantly lower diagnostic knowledge of early phases of psychosis compared to their international colleagues. They frequently indicated depression/anxiety and somatic complaints as early warnings of psychosis. They more often considered their behaviour to be problematic and more commonly handed them over to specialists. The majority of Prague GPs wished specialized outpatient services for low-threshold referrals of such patients.Conclusions– Along the mental health reforms in the Czech Republic which emphasis the role of primary care, GPs' knowledge of the early warning signs of psychosis needs to be improved.Declaration of Interest:The study was supported by an unrestricted grant from Sanofi-Synthélabo SA, Switzerland, to the principal investigators of the IGPS (AES, DU). The authors have stated that there are none; all authors are independent from the funding body and the views expressed in this paper have not been influenced by the funding source.

scholarly journals Bioeconomy in the National Forest Strategy: A Comparison Study in Germany and the Czech Republic

Forests ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 608 ◽  
Author(s):  
Ratna Chrismiari Purwestri ◽  
Miroslav Hájek ◽  
Miroslava Šodková ◽  
Mathy Sane ◽  
Jan Kašpar
Keyword(s):  
Czech Republic ◽  
Rural Areas ◽  
Forest Policy ◽  
Forest Biomass ◽  
Value Added ◽  
Adoption Process ◽  
National Forest ◽  
Comparison Study ◽  
The Czech Republic ◽  
European Forest

Background and Objectives: Forest-based bioeconomies have been adopted as the national forest strategies in many European countries. However, in the Czech Republic, the bioeconomy has not been officially included in national policies. The main objective of the paper was to review the current forest policy in the Czech Republic in meeting the purposes of the European forest-based bioeconomy. To better understand the opportunities and shortcomings of the forest strategy and the implementation of a forest-based bioeconomy in the country, a comparison study in the Czech Republic and Germany was also carried out. Methods: A review of the forest strategies was done based on the following research questions: (1) How are the bioeconomy principles and priorities present in the Czech National Forest Programme (NFP) as reflected in the EU Forest Strategy, and how does the Czech forest strategy compare to that in Germany? (2) What is the situation concerning the national wood production and consumption to understand the opportunities and challenges of the bioeconomy implementation in the studied countries? Results: The Czech NFP was approved following the pan-European process for the protection of forests in Europe; therefore, it does not directly reflect the 2012 bioeconomy principles, although most of these approaches have been included in this strategy. Different national measures in two studied countries were revealed to achieve the objectives of the forest bioeconomy. The primary contribution from the Czech forestry to the bioeconomy is sustainable forest-based products. A forest bioeconomy is also targeted at mitigating climate change by providing forest biomass for bioenergy. Conclusions: The Czech Republic is in the midst of the adoption process of the bioeconomy strategy. The main challenges faced by the forest-based sector in the country is to fulfil the demand for sustainable forest biomass and high value-added products. Multisectoral collaboration, business diversification, and education for public consumers are needed to increase the growth and job opportunities of the bioeconomy sector in rural areas.

scholarly journals Relationship of activities in reverse logistics according to sell point in Czech Republic

2019 ◽  
Vol 61 ◽  
pp. 01016 ◽  
Author(s):  
František Milichovský
Keyword(s):  
Czech Republic ◽  
Reverse Logistics ◽  
Descriptive Statistics ◽  
Primary Research ◽  
Data Set ◽  
The Czech Republic ◽  
Chi Squared ◽  
Statistical Program ◽  
Relationship Of ◽  
Nominal Variables

The paper is focused on findings, if final customers in sell points reflect activities of reverse logistics. Main result of research provides relationship between sell point and reverse activity. The research was aimed at random chosen group of 811 respondents in the Czech Republic. Real participants have been 293, what is effectiveness in 36.13%. The primary research provides possible approaches for companies in sell points within reverse logistics activities to final consumers. To process the results of the questionnaire survey were used basic types of descriptive statistics on the selected data set. The data were processed by using the statistical program IBM SPSS Statistics 24, which was subsequently analysed the dependency between the two nominal variables by means of contingency tables and Pearson's chi-squared test. Limitation for this research is because of the chosen sample and targeting only on Czech Republic.

scholarly journals Modelling direct payments to agriculture in a CGE Framework – analysis of the Czech Republic

2011 ◽  
Vol 57 (No. 11) ◽  
pp. 517-528 ◽  
Author(s):  
Z. Křístková ◽  
A. Habrychová
Keyword(s):  
Czech Republic ◽  
Policy Instruments ◽  
Value Added ◽  
Complete Removal ◽  
Living Standard ◽  
Negative Effects ◽  
Positive Role ◽  
The Czech Republic ◽  
Direct Payments ◽  
Positive Effect

The paper deals with modelling of the direct payments subsidies to agriculture and their impact on the economy of the Czech Republic. With the use of the general equilibrium model, scenarios concerning an increase of subsidies reaching 100% of the national envelope and a complete removal of both SAPS and Top-Up payments are applied. The results show that if the full amount of subsidies is granted, the value added in agriculture and the connected sectors is stimulated, with a positive effect on the total GDP. However, if the direct payments are completely removed, negative effects on employment can be expected, suggesting that the direct payments play a positive role in the economy. The paper further points out that the effects of direct payments on the incomes of farmer households are limited, suggesting that the farmers’ living standard should be supported by other policy instruments than the direct payments

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