Číslo 1
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- ItemAltman Model Verification Using a Multi-Criteria Approach for Slovakian Agricultural Enterprises(Technická Univerzita v Liberci, ) Vavrek, Roman; Gundová, Petra; Kravčáková Vozárová, Ivana; Kotulič, Rastislav; Ekonomická fakultaThe Altman model is still one of the most widely used predictive models in the 21st century, and it aims to highlight the differences between bankrupt and healthy enterprises. This model has been modified several times; its most well-known forms are from 1968, 1983 and 1995. However, the use of the Altman Z-score for Slovak enterprises is more than questionable. The unsuitability of the model for the conditions of Slovak companies has been confirmed by several empirical surveys. The objective of this study was to verify the validation of these three variants of the Altman model, depending on how an unprosperous company is identified, using a sample of 996 agricultural enterprises operating in the Slovak Republic. Four indicators were selected for the identification of an unprosperous enterprise – economic results, total liquidity, equity, and economic value added – and they were monitored over the last year or, as the case may be, over the last three years from 2014 to 2016. Using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Coefficient of variation (CV) methods as an objective method for weight determination, a combination of the Altman model from 1968 and the negative total liquidity in the last reference year was determined to be the best. One of our main findings is that the way in which an unprosperous enterprise is identified is a significant factor affecting the overall reliability of the Altman model. The Altman model from 1968 and 1983 confirmed the differences resulting from the natural conditions in which the enterprises operate. The economic results and economic value added (EVA) proved to be inappropriate as indicators for defining an unprosperous enterprise in the conditions of the Slovak Republic.
- ItemThe Effect of Sectoral Division on GDP per Capita in the Slovak Republic(Technická Univerzita v Liberci, ) Burger, Peter; Šlampiaková, Lea; Ekonomická fakultaThe paper aims to analyse the sectoral division of the national economy in the Slovak Republic from various points of view. The authors examine the developmental changes in the number of people employed in different economic sectors (primary, secondary, tertiary, and quaternary) from 1948 to 2018 reflecting the natural development of the economy over that time. In order to do this, they have used a logical and comparative study of theoretical knowledge in accordance with the analysis of empirical data. The descriptive statistics are based on a sample of aggregate data about sectoral division in the Slovak Republic for the period 1948–2018. A cluster analysis on the data of sectoral division in all EU member states in 2010 and in 2017 was carried out in order to obtain a basic overview and opportunity to compare. The main focus of this paper is to examine the impact of sectoral division of the national economy on the Slovak Republic’s real GDP per capita. The research is based on panel regression as well as Granger causality tests on a sample of all 8 Slovak regions between 2001 and 2018. The results of the Granger causality tests show that causality runs one-way from all four sectors to real GDP per capita. Based on this, it is appropriate to carry out panel regression analysis. The results of this analysis suggest that all given sectors in period t−1 have had a significant impact on GDP per capita. In particular, the primary and secondary sectors have both had a relatively significant negative impact while the tertiary and quaternary sectors have had a positive one. It is interesting that the tertiary sector has had a greater positive impact than the quaternary one in the Slovak Republic.
- ItemEmpirical Study on the Impact of Evaluation of Intangible Assets on the Market Value of the Listed Companies(Technická Univerzita v Liberci, ) Cosmulese, Cristina Gabriela; Socoliuc, Marian; Ciubotariu, Marius-Sorin; Grosu, Veronica; Mateş, Dorel; Ekonomická fakultaThe accelerated pace of economic development, the digital revolution and the internationalization of business has meant for some entities the creation or acquisition of intangible assets (IA), which have become increasingly important for the economic prosperity and for determining the global value of a company, also becoming an important incentive in creating added value. The aim of this paper is focused on analyzing the impact of internally generated intangible assets on the market value of the companies. In order to achieve this aim, we conducted an empirical study involving a sample of 180 NASDAQ and NYSE listed entities between 2007 and 2016. The sample has obtained by applying the inclusion and exclusion criteria on the 500 large-capitalization companies (S&P 500 Index). Making use of regressive techniques, the authors undertook an econometrical model to test whether the impact of intangible assets on the market value of the entities increases when are provided complete, clear and easy-to-understand accounting information about the intangible assets value, which aid business to properly estimate corporate value ratio and reduce implicit bias, due to mainly taking into account those reported values when measuring an entity’s value. The results revealed an impact of the value of the reported and unreported IA on the market value of the entities, for manufacturing companies relative to service companies, which generates an added value on the capital market and implicates a close linkage of disclosure compliance and the associated industry sector. The proposed model can be an inspiration for the legislator to change the structure of financial reporting, or anticipated a valuable informational source for increasing the quality of integrated reporting of economic entities.
- ItemThe Influence of Competitiveness on Start-up in SMES Segment(Technická Univerzita v Liberci, ) Dvorský, Ján; Čepel, Martin; Simionescu, Mihaela; Ďurana, Pavol; Ekonomická fakultaThe paper aims to identify important factors for competitiveness (CF – Competitive environment, FF – Narrower business environment), which impact start-up in a segment of SMEs. In regards to the defined aim, survey-based research was conducted with enterprises operating in the SME segment. Three 312 enterprises in the Czech Republic and 329 enterprises in the Slovak Republic were approached during this research. The multiple linear regression was used: (a) to quantify the relationship between the variables, (b) to identify the most critical indicator of QBE, and also to verify the scientific hypothesis. The competitive environment has a significant impact on the quality of the business environment in the SME segment. The authors found that the selected factors (CF and FF) were statistically significant. The competitive environment (CF) has a greater impact on the quality of the business environment than the narrower business environment (FF). Human capital represented by employees and the adequacy of supplier prices are indicators that have a significant impact on the quality of the business environment in the SME segment. The most critical CF indicator is that the suppliers of SMEs demand reasonable prices for their products and services. On the contrary, the least significant indicator is the intensity of competition in the sector. The most important indicator of a narrower business environment is the contribution of employees in achieving business goals. On the opposite, the least important indicator of a narrower business environment is the support of suppliers to meet the business goals of SMEs.
- ItemInstitutional Investor, Economic Policy Uncertainty, and Innovation Investment: Evidence from China(Technická Univerzita v Liberci, ) Dou, Zhenjiang; Wei, Lei; Wang, Jingyi; Ekonomická fakultaAs a participator in corporate investment decision-making, the institutional investor is directly related to the corporate innovation investment. However, the economic policy uncertainty is aggravated by problems, such as economic slump and trade friction. Thus, institutional investors are not optimistic about the prospects of innovation investment. To explore the influence of institutional investors on corporate innovation investment from the perspective of economic policy uncertainty, using the 2010–2018 panel data in China and the fixed effect model, the influences of institutional investors on innovation investment and the moderating effects of the economic policy uncertainty were analyzed. Results show that institutional investors facilitate corporate innovation investment. Moreover, the increasing economic policy uncertainties repress the promoting effect of institutional investors on innovation investment. Furthermore, the institutional investors boost the corporate innovation investment by improving the internal control and relieving the financing constraints. For private companies, new and high-tech companies, the promoting effect of institutional investors on the corporate innovation investment is inhibited by the economic policy uncertainty to a small extent. For the listed companies located in areas with a high level of investor protection and intellectual property protection, the economic policy uncertainty has a minimal influence on the institutional investors and corporate innovation investment. The conclusions obtained from this study provide empirical evidence for giving full play to the role played by institutional investors in corporate innovative development. The conclusions also reveal, from the macroscopic level, that the consistency and stability of governmental economic policies have important effects on corporate development.
- ItemKey Performance Indicators for Adopting Sustainability Practices in Footwear Supply Chains(Technická Univerzita v Liberci, ) Moktadir, Md. Abdul; Mahmud, Yead; Banaitis, Audrius; Sarder, Tusher; Khan, Mahabubur Rahman; Ekonomická fakultaThe footwear industry has contributed notably to different countries’ economic development. Therefore, it needs to focus on operational excellence in order to achieve a sustainable level of development. Achieving sustainability in the footwear industry, however, is a complex task since various issues are involved in the footwear manufacturing process. Currently, in order to see how firms can sustain their place in the competitive global business environment, researchers and practitioners are giving special attention to operational excellence in the footwear manufacturing industry. Operational excellence is a business term that indicates the actual performance of an organization. To make the supply chain agile, resilient, and sustainable, it is imperative that firms incorporate sustainable practices in the footwear industry, and operational excellence can help in this regard. The sustainability of the footwear industry can be examined by using a set of key performance indicators (KPIs). Therefore, identifying and examining the KPIs for adopting sustainable practices in the footwear supply chain is a very important task. There is still a knowledge gap in research on the KPIs for attaining sustainability in the footwear industry. To fill in this knowledge gap, this study contributes to the existing literature by identifying and assessing the KPIs by using a novel multi-criteria decision-making (MCDM) method named the best-worst method (BWM). This study uses a previous study to identify some relevant KPIs, some of which were included in the assessment process based on footwear industry experts’ feedback. After finalizing the relevant KPIs, BWM was utilized to find the most important KPIs for adopting sustainability practices in the footwear industry’s supply chains. The findings of this study reveal that the KPIs “quality production”, “timely order processing” and “accuracy of moulding” received the first three positions in the rankings we performed. The results of this study will help practitioners, industry experts, and decision-makers to find out a pathway for easily adopting sustainability practices in the footwear supply chains.
- ItemModerating Role of User Experience and IT Reliability in Controlling Influence on Job Performance and Organizational Performance(Technická Univerzita v Liberci, ) Bieńkowska, Agnieszka; Tworek, Katarzyna; Zabłocka-Kluczka, Anna; Ekonomická fakultaControlling is a method, which is most often used in contemporary organizations. The expectation of improvement of the organization’s results is the most important reason of controlling implementation. The relation between controlling use and organizational performance is often taken for granted, however there are no comprehensive research explaining in detail how it affects results of organization functioning. The article attempted to fill in the existing research gap and explain how controlling affects results of organization functioning. The analysis concerned the impact of controlling use on both job performance and organizational performance. Since the job performance in case of controlling is increasingly dependent on the IT solutions, the analysis concerned the impact of IT reliability and User Experience (UX) on the developed model of the controlling influence on organizational performance. In that context the aim of the article was to clarify the mechanism of controlling use influence on organizational performance – considering the mediating role of job performance of employees and moderating role of IT solutions (the impact of UX and IT reliability on the relations between controlling, job performance and organizational performance). Formulated hypotheses were verified empirically on the sample of 637 organizations (349 operating in Poland and 288 operating in Switzerland). The presented results of empirical research allowed for the construction of a mediating model demonstrating the impact of controlling use on both job performance and organizational performance and shown that UX and IT reliability are moderators of the relation between the controlling use and job performance, and the relation between job performance and organizational performance.
- ItemPatterns of 50 ETF Options Implied Volatility in China: On Implied Volatility Functions(Technická Univerzita v Liberci, ) Li, Pengshi; Lin, Yan; Zhong, Yuting; Ekonomická fakultaThe aim of this study is to examine the volatility smile based on the European options on Shanghai stock exchange 50 ETF. The data gives evidence of the existence of a well-known U-shaped implied volatility smile for the SSE 50 ETF options market in China. For those near-month options, the implied volatility smirk is also observed. And the implied volatility remains high for the short maturity and decreases as the maturity increases. The patterns of the implied volatility of SSE 50 ETF options indicate that in-the-money options and out-of-the-money options are more expensive relative to at-the-money options. This makes the use of at-the-money implied volatility for pricing out-of- or in-the-money options questionable. In order to investigate the implied volatility, the regression-based implied volatility functions model is considered employed to study the implied volatility in this study as this method is simple and easy to apply in practice. Several classical implied volatility functions are investigated in this paper to find whether some kind of implied volatility functions could lead to more accurate options pricing values. The potential determinants of implied volatility are the degree of moneyness and days left to expiration. The empirical work has been expressed by means of simple ordinary least squares framework. As the study shows, when valuing options, the results of using volatility functions are mixed. For far-month options, using at-the-money implied volatility performs better than other volatility functions in option valuation. For near-month options, the use of volatility functions can improve the valuation accuracy for deep in-the-money options or deep out-of-the-money options. However, no particular implied volatility function performs very well for options of all moneyness level and time to maturity.
- 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.
- ItemQuantifying the Economic Development Dynamics of a Country Based on the Lorenz Curve(Technická Univerzita v Liberci, ) Ginevičius, Romualdas; Nazarko, Joanicjusz; Gedvilaitė, Dainora; Dacko-Pikiewicz, Zdzisława; Ekonomická fakultaThe welfare of a country depends on its economic development. In order to have the impact on it, we should have a possibility to quantitatively assess its situation at the desired point in time. Economic development, as a multifaceted and complex phenomenon, is reflected in two dimensions – intensity and uniformity. These mentioned above can be viewed as partial indicators of dynamics. Two main approaches to measuring development uniformity can be distinguished. In one of the cases, it is measured on the basis of an index that includes the main results of the country's economic development. In the other case, the values of the indicators reflecting all the essential development actions are combined in one appropriate way. From a scientific point of view, the second approach is more accurate as it allows for a better assessment of the complex nature of a country’s economic development. On the other hand, its application today is still problematic due to the fact that the models for this differ in terms of both the number and composition of indicators. For this reason, it is not possible to compare countries. Therefore, in international practice, the economic development of countries is measured by gross domestic product per capita (GDP). Based on GDP indicator, the method for the measurement of uniformity is proposed and the essence of which is the ratio of the length of the ideal trajectory of the development during the period under review to the length of the actual trajectory. Without ruling out the appropriateness of such an approach for assessing development uniformity, it makes sense to look for alternative methods. In this sense, methods that allow assessment of the extent of fluctuations of the phenomenon under consideration as an essential feature of development dynamics are suitable. These include the Gini coefficient, which is determined from the Lorenz curve.
- ItemSocio-economic Factors Influencing the Development of Renewable Energy Production Sector in Poland(Technická Univerzita v Liberci, ) Grzeszczyk, Tadeusz A.; Izdebski, Waldemar; Izdebski, Michał; Waściński, Tadeusz; Ekonomická fakultaPoland is not one of the leaders in the use of renewable energy sources (RES), and most energy is still produced using hard coal and lignite. Therefore, there are noteworthy emissions of air pollution (including ashes and greenhouse gases), and the Polish energy sector is characterized by a substantial degree of carbonization, which, as a result, threatens to expressively increase the costs of electricity production, leading to financial penalties imposed by the EU. The aim of this paper is to analyze socio-economic factors influencing the development of the RES sector in Poland. According to this aim, expert research was carried out, in which the factors influencing development potential of RES were assessed at two levels (level II – 5 factors, level III – 15 factors) according to the factor tree analysis. Based on the analysis of the level II factors, it can be concluded that the development of the RES sector in Poland will depend to a decisive extent on factors such as: EU decisions and Polish legislation affecting the development of the RES sector in Poland, prices and availability of conventional energy carriers. Other two factors – regional policy on ecology and ecological awareness in Poland – have so far little impact on the development of this sector in the state. The analysis of the level III factors shows that the greatest impact on the development of the RES sector in Poland is the influence of European lobbying of manufacturers of machinery and equipment for renewable energy production on EU law, the impact of Polish lobbying of conventional energy producers on Polish law in the production of renewable energy and the influence of European lobbying of renewable energy producers into EU law.
- ItemSovereign Credit Ratings and Asian Financial Markets(Technická Univerzita v Liberci, ) Pervaiz, Khansa; Virglerová, Zuzana; Khan, Muhammad Asif; Akbar, Usman; Popp, József; Ekonomická fakultaEach region/country seeks to become more efficient to gain the confidence of potential investors. Most of the Asian economies are categorized as emerging markets, where the role of financial markets has even become more intensified to provide financial services to increasing economic and financial activities. Asian financial market has momentously suffered during the Asian, and global financial crisis. The mass destruction was mainly caused due to the mounting uncertainty, which spillover throughout the region, where investors lost their confidence. Considering the pivotal economic role of financial markets, and implications evolve due to sovereign credit rating announcements, this study aims to model the role of sovereign credit rating announcements by Standard and Poor’s, and Moody’s on financial market development of the Asian region. For 24 Asian countries/regions, we perform a regression analysis on sovereign credit rating changes based on financial market development index and its factors. The findings of Driscoll Kraay’s robust estimator reveals that improvement in sovereign credit rating score enhances the financial market development in the region. Moreover, we applied several robustness checks, such as alternative estimators, alternative measures, and three sub-dimensions of financial market development. According to the findings from these robustness checks, the positive impact of sovereign credit ratings on financial market development in the region is robust. Unlike prior literature (which is confined to the event study approach), this study utilizes the historical grades to establish the relationship under the standard error clustering approach. Due to the diversity of investors’ speculations, we propose a micro-level extension of the present model to overcome a difference in country policy.
- ItemThe Use of International Tax Planning in Subsidiaries from the Financial and ICT Sectors in the Czech Republic(Technická Univerzita v Liberci, ) Jedlička, Vít; Ekonomická fakultaTax avoidance is an important element of management in the global economy. Managers use tax havens for reducing a company’s effective tax rate. The most common practices in international tax planning can be divided into three groups: loans and their related interest, royalties, and transfer pricing. The aim of this article is to find the determinants of the tax burden faced by foreign-owned subsidiaries. Therefore, a model was created for the tax burden, focusing on the special position of subsidiaries within international tax planning. For this purpose, taxes/outcomes was established as a new dependent variable. The panel data used include Czech companies that are owned by parent companies located in other EU countries. The model distinguishes EU tax havens from regular member states; sector dummy variables are also included. The regression model that was created did not confirm the assumed dependencies. Rather, it indicated other important determinants: profitability, the share of intangible assets, size, and the dummy variable for the ICT sector. Based on the regression results, the independent variables connected with known tax planning schemes have relatively low importance. The significance of these results can be seen in the subsequent conclusions. First of all, there is no difference between the subsidiaries’ tax burdens based on the parent company’s location. Corporations use international tax planning whether or not they are owned from a tax haven. The second significant conclusion indicates the importance of certain sectors and their attributes concerning the tax burden. Companies from the ICT sector are linked to a lower tax burden. On the other hand, the dependencies within the financial sector are not statistically significant. From the perspective of further research, it would be constructive to incorporate the subsidiary’s position within the group.