18 results on '"Bočková, Nina"'
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2. Fuzzy confrontations of models of ESG investing versus non-ESG investing based on artificial intelligence algorithms
- Author
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Škapa, Stanislav, Bočková, Nina, Doubravský, Karel, and Dohnal, Mirko
- Subjects
sustainable investing ,Fuzzy similarity ,ESG ,common sense ,social and governance ,Economics, Econometrics and Finance (miscellaneous) ,Business and International Management ,environmental ,Finance - Abstract
ESG (Environmental, social, and corporate governance) parameters are involved in investing-related decision-making. DESG (Dominantly ESG) related investing represents a complex tasks studied under severe information shortages. NESG (Non-dominantly ESG) investing either ignores ESG parameters completely or it takes it as less important. ESG investing is partially DESG and partially NESG. A very simple fuzzy reasoning algorithm is used to find out the similarity between DESG and NESG in this paper. A similarity graphs is generated. An edge represents a fuzzy similarity between two nodes / conditional statements. Each statement specifies fuzzy conditions under which some DESG/NESG tools are mutually similar or totally dissimilar. Examples of investing tools are Developed Markets, Emerging Markets Small Caps, Sustainability Index and Environmental Social Governance Index. The following five parameters of investing tools are Risk, Cost, Return, Drop, and Correlation. Low pairwise fuzzy similarities between DESG and NESG are detected.
- Published
- 2022
- Full Text
- View/download PDF
3. Empirical Evidence of the Effect of Fare Subsidies in Transition Economies
- Author
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Bočková, Nina, primary
- Published
- 2022
- Full Text
- View/download PDF
4. Empirical Evidence of the Effect of Fare Subsidies in Transition Economies.
- Author
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Bočková, Nina
- Subjects
MOVING average process ,PUBLIC transit ,PASSENGER traffic ,STATISTICAL models ,INTERVENTION (Federal government) ,SUBSIDIES ,TRANSITION economies - Abstract
This paper examines the impact of two government measures in the Czech Republic and the Slovak Republic: the number of passengers transported by rail and the kilometers traveled. Eurostat data were used to develop an autoregressive integrated moving average (ARIMA) statistical model for capturing the time-series trend. The results confirm statistically significant differences in the Slovak Republic after introducing fare-free public transport (FFPT). Passenger-transport volumes increased by 449,000 quarterly; passenger-kilometer volumes increased by 23.2 million. A similar government intervention – in the Czech Republic – was statistically insignificant. Passenger-transport volumes increased by 1.17 million and passenger-kilometers increased by 42.9 million quarterly; but compensation to railway operators increased by 763%. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
5. Non-Numerical Trend Models of Social Aspects of Energy Innovations
- Author
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Dohnal, Mirko, primary, Bočková, Nina, additional, and Doubravský, Karel, additional
- Published
- 2022
- Full Text
- View/download PDF
6. Fuzzy confrontations of models of ESG investing versus non-ESG investing based on artificial intelligence algorithms.
- Author
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Škapa, Stanislav, Bočková, Nina, Doubravský, Karel, and Dohnal, Mirko
- Abstract
ESG (Environmental, social, and corporate governance) parameters are involved in investing-related decision-making. DESG (Dominantly ESG) related investing represents a complex tasks studied under severe information shortages. NESG (Non-dominantly ESG) investing either ignores ESG parameters completely or it takes it as less important. ESG investing is partially DESG and partially NESG. A very simple fuzzy reasoning algorithm is used to find out the similarity between DESG and NESG in this paper. A similarity graphs is generated. An edge represents a fuzzy similarity between two nodes / conditional statements. Each statement specifies fuzzy conditions under which some DESG/NESG tools are mutually similar or totally dissimilar. Examples of investing tools are Developed Markets, Emerging Markets Small Caps, Sustainability Index and Environmental Social Governance Index. The following five parameters of investing tools are Risk, Cost, Return, Drop, and Correlation. Low pairwise fuzzy similarities between DESG and NESG are detected. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
7. Zpracovatelský průmysl České republiky: Nepřímá podpora výzkumu a vývoje
- Author
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Bočková, Nina and Meluzín, Tomáš
- Subjects
research ,manufacturing industry ,effectiveness ,O39 ,L60 ,H32 ,C20 ,development ,tax credit - Abstract
This paper describes the historical development of indirect support in the Czech Republic and analyses the available data from the period 2005–2013. The aim of the research is to demonstrate a dependence between the introduction of a new type of support for research and development and the increase in investment in companies’ own R&D in the manufacturing after 2005. The objects of the research are all domestic concerns engaged in business that reported the financing of their own research by means of the deductible item for R&D. The number of concerns in individual branches of the manufacturing industry differs markedly, for which reason more-detailed analysis of individual branches did not comprise part of the investigation into the subject of this research. We used regression analysis to monitor the development of R&D expenditure in the manufacturing industry. Exponential regression was best suited to the estimation of non-linear parameters. By analysing secondary data, we discovered that the introduction of the deductible item in 2005 is acting as support for increasing companies’ own investment in R&D. The tax incentive is a method of financing a company’s own R&D that is being used increasingly often.
- Published
- 2016
8. R&D investments as Possible Factors of Company's Competitiveness
- Author
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Bočková, Nina, primary and Meluzín, Tomáš, additional
- Published
- 2017
- Full Text
- View/download PDF
9. R&D investments as Possible Factors of Company's Competitiveness
- Author
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Bočková, Nina, Meluzín, Tomáš, Bočková, Nina, and Meluzín, Tomáš
- Abstract
This article describes the impact of R&D investment to on the economic stability in the Czech electronics industry in the period 2007–2014. Increasing the competitiveness of companies is conditional on the systematic investments, development and stability of companies. Searching for competitive advantage through innovation may be one of the ways of how to obtaining a sTab. market position in the industry. The aim of this article was is to determine whether there are relations between changes of economic indicators and the reporting process of research activities for innovative companies in the electronics industry. The research was conducted among 103 companies based in the Czech Republic, which invested in R&D in 2007 – 2013. The comparison was made between companies which invested in the 2007 – 2013 in the annual or occasional R&D. Two subgroups were established and companies in each subgroup were monitored companies according to their size. Spearman’s rank correlation was used to assess if relationships among R&D Expenditure and Operating Revenue were preserved across periods. Two hypotheses were formulated and verified on the basis of statistical data processing of innovative companies. The results showed that innovative companies had the ability to better capitalize on their asset base, and they are better able to cover their needs from their own resources better than other companies of in the electronics industry. Their ability to provide a return on equity varies by according to company size. Innovative companies showed an ability to reach a positive outcome from operating activities. The coefficient of self-financing for SMEs is for SMEs constantly above the industry mean and increases with the length of period of time. This trend was not confirmed for micro-companies and large companies this trend was not confirmed.
- Published
- 2016
10. Fuzzy logic pro podporu investic do výzkumu a vývoje v malých a středních podnicích
- Author
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Bočková, Nina and Bočková, Nina
- Abstract
R&D spending is one of key tools to achieve companies' growth. Government support is key factor for R&D activities in manufacturing small and medium enterprises. The uncertainty of the outcome of research and innovation restricts owners and managers decision on strategic planning about production program of the company. Managers solve additional financing research activities from other sources by the impossibility of full funding from its own budget. Here is presented a fuzzy model-objective - option R&D support which maximizes the outcome and optimizes the R&D program in manufacturing small and medium enterprises. The methodology used a two-stage decision making, using 18 variables, of which two are interdependent. The used of fuzzy logic have been taken because some vaguely specified characteristics that cannot be accurately determined. This method of application offers an innovative look at the funding of R & D activities in the company. The methodology was developed on the basis of data of enterprises of electro technical industry and was verified using data from period 2007-2013.
- Published
- 2016
11. R&D tax incentives in Czech enterprise
- Author
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Bočková, Nina
- Subjects
competitiveness ,R&D tax incentives ,benchmarking ,small and medium enterprises - Abstract
Support for Research, Development and Innovation is a priority for economic growth in advanced economic systems. The aim of this paper is to confirm the conjecture regarding the feasibility of R&D tax incentives in the legislative environment. In the Czech Republic, the economic environment is motivated to economic development and growth by membership in the European Union. Open the possibility of European integration and the need to meet the objectives of the Strategy Europe 2020 has brought new opportunities to exploit the potential of Czech human resources in Research, Development and Innovation. The Czech Republic has third best conditions for enterprises involving in its operations its own R&D, according to European Tax Analyzer. Nevertheless the statistical indicators show that enterprises use more direct R&D support, financed from state budget, this paper evaluates the example of manufacturing company utilizing public support to R&D and R&D tax incentives within the industry. The selected barriers for non-use of R&D tax incentives are described. Despite the existence of barriers, the author managed to demonstrate a positive effect on increasing the company's competitiveness in the use of R&D tax incentives.
- Published
- 2014
12. Nepřímá podpora VaV u českého podniku
- Author
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Bočková, Nina and Bočková, Nina
- Abstract
Support for Research, Development and Innovation is a priority for economic growth in advanced economic systems. The aim of this paper is to confirm the conjecture regarding the feasibility of R&D tax incentives in the legislative environment. In the Czech Republic, the economic environment is motivated to economic development and growth by membership in the European Union. Open the possibility of European integration and the need to meet the objectives of the Strategy Europe 2020 has brought new opportunities to exploit the potential of Czech human resources in Research, Development and Innovation. The Czech Republic has third best conditions for enterprises involving in its operations its own R&D, according to European Tax Analyzer. Nevertheless the statistical indicators show that enterprises use more direct R&D support, financed from state budget, this paper evaluates the example of manufacturing company utilizing public support to R&D and R&D tax incentives within the industry. The selected barriers for non-use of R&D tax incentives are described. Despite the existence of barriers, the author managed to demonstrate a positive effect on increasing the company's competitiveness in the use of R&D tax incentives.
- Published
- 2014
13. Využití zdrojů financování VaV ve vybraných podnicích odvětví elektrotechnického průmyslu
- Author
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Bočková, Nina, Dočekalová, Marie, Bočková, Nina, and Dočekalová, Marie
- Abstract
Purpose of the article: This paper examines the impact of the Czech R&D Tax Incentives scheme on the number of Innovations and patenting. Czech R&D spending in business sector is low by OECD and EU Innovation standards. To achievement the aims of strategy Europa 2020 in 2005 the Czech government introduced a R&D Tax Incentives. This type of R&D Tax Incentives is the best in EU-27, how simulated ZEW Mannheim team used European Tax Analyser. Methodolgy/methods: We analysed the effects of R&D Tax Incentives on the likelihood of innovating and patenting in business companies, NACE 26.51 Measuring, testing and navigating equipment; watches and clocks. We used three databases: Database for Czech firms, data of Financial Administration of the Czech Republic and results of questionnaire Research and Development of Czech Statistical Office. Scientific aim: The aim of this paper is to analyze and assess the current state of investment in own R&D in manufacturing enterprises of electro technical industry in the Czech Republic, especially in relation to the actual realization of innovations and patents, financing sources used in relation to the size of the business. Czech companies using public subsidies to R&D activities, structural funding from EU, own resources and R&D Tax Incentives. Findings: The part of Manufacturing Industry is the part of the third fastest growing industry and the most R&D Tax Incentives volume (in CZK). R&D investment is for SME risky. SMEs likely produce for a large company, than starting new products line by themselves. Moreover, it is very difficult for financial and government institutions to judge the quality of the R&D investment because of its uncertain outcome and firms’ reluctance to disclose all of the relevant information. For SMEs, particularly small firms and start-ups, will be more likely to be credit constrained when investing in R&D. Conclusions: Enterprises of business sector with own R&D are more competitiveness than enterprises witho
- Published
- 2013
14. Fuzzy model of relationship among economic performance, competitiveness and business ethics of small and medium-sized enterprises
- Author
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Bočková, Nina, primary, Brož, Zdeněk, additional, and Dohnal, Mirko, additional
- Published
- 2013
- Full Text
- View/download PDF
15. Visegrad Four countries: evaluation in R&D sectors of performance
- Author
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Bočková, Nina, primary
- Published
- 2013
- Full Text
- View/download PDF
16. Research, Development and Innovations in Czech Manufacture of Electronic Products.
- Author
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Bočková, Nina
- Subjects
- *
INNOVATIONS in business , *ELECTRONIC equipment industry , *SMALL business - Abstract
The paper deals with the topic of research and development investments and its use in small and medium-sized enterprises SME's operating in the electronic industry. The aim of the article is to find out the impact of innovation activities on enterprises, especially the influence of the sources of funding for the research activity. The Czech Republic is the geographic segment to be explored. A chapter on theoretical issues is followed by a description of the current situation in the Czech Republic and abroad, and access to legal support for research and development in the business sector. Primary data collected from a survey are analysed in the analytical part. The statistical data processing was done using Statistica 12 software. Some SME's of chosen group of manufacturing industry focus on research and development performed by their own means, and they searched for the possibility of financing the research from various sources. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
17. FUZZY LOGIC PRO PODPORU INVESTIC DO VÝZKUMU A VÝVOJE V MALÝCH A STŘEDNÍCH PODNICÍCH.
- Author
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Bočková, Nina
- Abstract
R&D spending is one of key tools to achieve companies' growth. Government support is key factor for R&D activities in manufacturing small and medium enterprises. The uncertainty of the outcome of research and innovation restricts owners and managers decision on strategic planning about production program of the company. Managers solve additional financing research activities from other sources by the impossibility of full funding from its own budget. Here is presented a fuzzy model-objective -- option R&D support which maximizes the outcome and optimizes the R&D program in manufacturing small and medium enterprises. The methodology used a two-stage decision making, using 18 variables, of which two are interdependent. The used of fuzzy logic have been taken because some vaguely specified characteristics that cannot be accurately determined. This method of application offers an innovative look at the funding of R & D activities in the company. The methodology was developed on the basis of data of enterprises of electro technical industry and was verified using data from period 2007 - 2013. [ABSTRACT FROM AUTHOR]
- Published
- 2015
18. DAŇOVÉ POBÍDKY U FIREM PROVÁDĚJÍCÍCH VAV.
- Author
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Bočková, Nina and Mikulec, Luděk
- Subjects
- *
RESEARCH & development projects , *RESEARCH funding , *INVESTMENTS , *TAX incentives ,CZECH economic policy ,CZECH Republic economy, 1993- - Abstract
Investment in research and development is a priority for most economically advanced countries. Modern trends indicate that long-term growth and prosperity of firms will now require, besides mere increases in efficiency, an increase in also other sources of growth. Direct foreign investments continue to play an important role in post-communist economic systems, but their number has gradually been decreasing. The question of new sources of growth may be answered by the use of knowledge to create innovations and to enhance entrepreneurship. The Czech Republic is one of the candidates for a move to a higher evolutionary stage, in which an important source of competitiveness - and hence also of growth - are innovations ("innovation-driven competitiveness"). The issue of allocation of state funding and the search for alternative methods of support for research and development is dealt with independently by each government, and becomes one of the driving forces in enhancing competitiveness of the economy. The percentage rate of research and development allocations in European countries falls short of R&D funding in developed overseas economies, such as Canada or Japan. The trend in support for research and development are tax incentives for firms that invest also their own money to innovations. Direct state support for research and development is more easily accessible to large firms, research institutes and consortia rather than to small and medium-sized enterprises. This article investigates indirect state support for research and development through a system of tax incentives for small and medium-sized enterprises. The tax incentive recommendations for the Czech Republic proposed here are based on an analysis of those instruments in other countries. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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