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Wyszukujesz frazę "Visegrad countries" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Financial performance and bankruptcy concerns of SMEs in their export decision
Autorzy:
Ključnikov, Aleksandr
Civelek, Mehmet
Krajčík, Vladimír
Novák, Petr
Červinka, Michal
Powiązania:
https://bibliotekanauki.pl/articles/19322617.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
financial performance
bankruptcy
SMEs
export obstacles
Visegrad countries
Opis:
Research background: Due to having lack of financial power and low amount of revenues, most of SMEs' major concerns are bankruptcy and low financial performance. Those issues are risky situations for SMEs when making for their exporting activities. Therefore, depending on their performance and bankruptcy risk, they might more intensively perceive export barriers and this fact might determine their export decisions. Purpose of the article: This paper examines whether financial performance and bankruptcy concerns of SMEs affect their perceptions of export obstacles or not. Methods: This research performs random sampling method and directs an internet-mediated questionnaire to the selected respondents who are the executives of 408 Czech, Slovakian and Hungarian SMEs. To examine the influences of firm performance and bankruptcy on the perceptions of export impediments by SMEs, this paper employs Ordinal Logistic Regression Test. Findings & value added: The results show that SMEs having less healthy financial conditions less intensively perceive cultural-linguistic export barriers in comparison with SMEs having better financial performance. Moreover, firm performance is not a predictor variable in the perceptions of export costs, legislative and tax-related barriers by SMEs. On the other hand, while SMEs having more bankruptcy concerns more intensively perceive tax-related and cultural-linguistic barriers, bankruptcy concerns of SMEs do not influence their perceptions of export costs and legislative differences. Although many studies have investigated the impacts of financial conditions of SMEs on their internationalization and exporting decisions, they are isolated with only a market or only with a financial issue. The limited extents of those studies cause a partial investigation of export and financial issues of SMEs and make readers having a narrow perspective in this specific area. By focusing on various export obstacles and financial issues that SMEs face in different markets, this research offers a detailed understanding of SMEs' perceptions regarding their financial conditions and export barriers, from a comprehensive perspective. In this regard, this is the research gap that this paper aims to fill.
Źródło:
Oeconomia Copernicana; 2022, 13, 3; 867-890
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
Autorzy:
Valaskova, Katarina
Gajdosikova, Dominika
Belas, Jaroslav
Powiązania:
https://bibliotekanauki.pl/articles/19322751.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
bankruptcy
prediction model
multiple discriminant analysis
Visegrad group countries
Opis:
Research background: Effective monitoring of financial health is essential in the financial management of enterprises. Early studies to predict corporate bankruptcy were published at the beginning of the last century. The prediction models were developed with a significant delay even among the Visegrad group countries. Purpose of the article: The primary aim of this study is to create a model for predicting bankruptcy based on the financial information of 20,693 enterprises of all sectors that operated in the Visegrad group countries during the post-pandemic period (2020-2021) and identify significant predictors of bankruptcy. To reduce potential losses to shareholders, investors, and business partners brought on by the financial distress of enterprises, it is possible to use multiple discriminant analysis to build individual prediction models for each Visegrad group country and a complex model for the entire Visegrad group. Methods: A bankruptcy prediction model is developed using multiple discriminant analysis. Based on this model, prosperity is assessed using selected corporate financial indicators, which are assigned weights such that the difference between the average value calculated in the group of prosperous and non-prosperous enterprises is as large as possible. Findings & value added: The created models based on 6-14 financial indicators were developed using different predictor combinations and coefficients. For all Visegrad group countries, the best variable with the best discriminating power was the total indebtedness ratio, which was included in each developed model. These findings can be used also in other Central European countries where the economic development is similar to the analyzed countries. However, sufficient discriminant ability is required for the model to be used in practice, especially in the post-pandemic period, when the financial health and stability of enterprises is threatened by macroeconomic development and the performance and prediction ability of current bankruptcy prediction models may have decreased. Based on the results, the developed models have an overall discriminant ability greater than 88%, which may be relevant for academicians to conduct further empirical studies in this field.
Źródło:
Oeconomia Copernicana; 2023, 14, 1; 253-293
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries
Autorzy:
Kovacova, Maria
Kliestik, Tomas
Valaskova, Katarina
Durana, Pavol
Juhaszova, Zuzana
Powiązania:
https://bibliotekanauki.pl/articles/19106225.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
bankruptcy
bankruptcy prediction
variables
countries of Visegrad four
Opis:
Research background: Since the first bankruptcy prediction models were developed in the 60's of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods. Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors ? bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country.
Źródło:
Oeconomia Copernicana; 2019, 10, 4; 743-772
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
In search of key determinants of innovativeness in the regions of the Visegrad group countries
Autorzy:
Roszko-Wójtowicz, Elżbieta
Dańska-Borsiak, Barbara
Grzelak, Maria M.
Pleśniarska, Aleksandra
Powiązania:
https://bibliotekanauki.pl/articles/19322638.pdf
Data publikacji:
2022
Wydawca:
Instytut Badań Gospodarczych
Tematy:
determinants of innovativeness
R&D expenditure
patent applications
trademark applications
NUTS-2 regions of the Visegrad Group countries
Opis:
Research background: Discussions on the state of the economy in times of crisis focus not only on maintaining or improving innovativeness, but also on the emergence of new dimensions of this phenomenon and changing the significance of individual determinants of innovativeness. Innovativeness is a complex, multidimensional and difficult to measure phenomenon, which implies the need to select various indicators and methods for its assessment. Synthetic measures of innovativeness are widely used in comparative analyses, in particular presenting results in international or interregional cross-sections. The degree of innovativeness should also be assessed at different levels of economic aggregation. The lower the level of aggregation, the easier it becomes to capture the specific determinants of the increase in innovativeness of a given area. Purpose of the article: The main aim of the paper is to attempt to measure the relationship between expenditures and results of innovative activities for NUTS-2 regions of the Visegrad Group countries. Three variables were adopted to describe the effects of innovative activity: PCT patent applications per billion GDP (in PPS), trademark applications per billion GDP (in PPS) and public-private co-publications per million of population. Methods: The study covered 37 NUTS-2 regions of the Visegrad Group countries in the years 2014?2021. From the point of view of the purpose of the paper and the need to search for the relationship between expenditures on innovative activity and the results of this activity, it is worth emphasizing that the use of static and dynamic econometric models proved to be a substantively correct solution leading to the formulation of clear conclusions. Findings & value added: The conducted research confirmed that business R&D expenditure on GDP has a positive effect on inventions expressed by patents and trademarks, especially in the long run. In addition, the literature review and empirical analyses indicate that the main determinants of innovativeness (both before and during the pandemic) are the expenditures of economic entities on R&D, competences expressed by the level of education or participation in tertiary education, as well as the number of ICT specialists and the percentage of people employed in science and technology. Despite the deterioration of many macroeconomic indicators in the countries of the Visegrad Group, the expenditures of the business sector on R&D in most regions did not decrease between 2019 and 2021. The added value of the paper is the presented research procedure, which can be used in analyses of innovativeness also for other groups of regions.
Źródło:
Oeconomia Copernicana; 2022, 13, 4; 1015-1045
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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