Front Cover -- Title -- Copyright -- Contents -- Preface -- 1 Propedeutics and repetitorium of corporate financial health prediction -- 1.1 Detection of elemental causes and symptoms of corporate financial health deterioration -- 1.1.1 Causes of corporate financial health deterioration -- 1.1.2 Symptoms of corporate financial health deterioration -- 1.2 Methods of corporate financial health prediction -- 1.2.1 Statistical Models -- 1.2.2 Mathematical Programming -- 1.2.3 Artificial Intelligence -- 1.2.4 Credit risk theories -- 1.2.5 Alternative theoretical models -- 2 Legislative aspects of bankruptcy resolution -- 2.1 Definition of bankruptcy -- 2.2 Historical excursion to insolvency law issues -- 2.3 Settlement of bankruptcy in foreign legal orders -- 2.3.1 The Czech Republic -- 2.3.2 Hungary -- 2.3.3 Germany -- 2.3.4 Poland -- 2.3.5 Austria -- 2.3.6 Singapore -- 2.3.7 Ukraine -- 2.3.8 USA -- 2.4 Bankruptcy resolution in Slovak legislation -- 2.5 European and international bankruptcy law -- 2.5.1 Adjustment of cross-border bankruptcies in the Slovak legal order -- 3 Mathematical and statistical handbook -- 3.1 Multiple discriminant analysis -- 3.1.1 Assumptions for the use of discriminant analysis -- 3.1.2 Canonical discriminant analysis -- 3.1.3 Prediction function of discriminant analysis -- 3.1.4 Advantages and disadvantages of discriminant analysis -- 3.2 Logistic regression -- 3.2.1 Assumptions for the use of logistic regression -- 3.2.2 The principle of logistic regression -- 3.2.3 Testing of the statistical significance of logistic regression -- 3.2.4 Assessing the quality of the logistic regression model -- 3.2.5 Interpretation of the parameters of the logistic regression model -- 3.2.6 Assessing the classification capability of the logistic regression model -- 3.2.7 Advantages and disadvantages of logistic regression.
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Background and Purpose: Models of identifying and predicting earnings management in companies by using accruals are in general based on the dependence between total assets of companies and various profit measures. In this paper, we focused on an initial dependency analysis between these business indicators in the Visegrad group's business entities. We explore the mentioned relationships, verify, and quantify the strength of the dependencies between earnings levels of companies (in terms of economic evaluation of the return on business capital in absolute terms) and the value of their total assets (i.e. business capital tied in the assets without its further classification and analysis).
Methodology: We use descriptive statistics as well as a correlation analysis based on the real business data on almost 300 thousand companies in the V4 countries from the Amadeus database, covering the period from 2013 to 2017. Finally, we use a comparative analysis to identify disproportion among the results that were found out for each of the analysed countries.
Results: The analysis showed that Slovak companies have the average values of profit measures and total assets comparable to Hungarian companies. Czech and Polish companies have several times higher average values of profit measures and also of total assets than Slovak and Hungarian companies. The analysis of the development of the profit measures and the total assets of the companies over the years showed significant differences across the four countries during the period covered by this study.
Conclusion: The analysis of relationships between total assets of the companies and their profit measures showed that the strength of these dependencies among countries is very similar, and over the years, these results did not change. The results of this study can be further used in the creation of the earnings management model in enterprises, both in Slovakia and in other V4 countries.
The European Union is made up of countries that differ significantly in their economic development. In order to develop tailored strategies for their development, it should be possible to quantify the condition at a desired point in particular time. Again, on this basis, the process of economic development can be quantified and thus typicalities identified. The process is characterized by several parameters: intensity, which reflects the quantitative side of the development process; homogeneity reflecting upon the qualitative side of the development process, and dynamics, integrating development intensity and homogeneity into one generalizing mean. The values of the economic development process make it possible to divide all the countries of the European Union into three levels. This distinction allows for a differentiated analysis of the effects of economic development of countries in terms of their social, environmental and other development.
The European Union is made up of countries that differ significantly in their economic development. In order to develop tailored strategies for their development, it should be possible to quantify the condition at a desired point in particular time. Again, on this basis, the process of economic development can be quantified and thus typicalities identified. The process is characterized by several parameters: intensity, which reflects the quantitative side of the development process; homogeneity reflecting upon the qualitative side of the development process, and dynamics, integrating development intensity and homogeneity into one generalizing mean. The values of the economic development process make it possible to divide all the countries of the European Union into three levels. This distinction allows for a differentiated analysis of the effects of economic development of countries in terms of their social, environmental and other development.
The European Union is made up of countries that differ significantly in their economic development. In order to develop tailored strategies for their development, it should be possible to quantify the condition at a desired point in particular time. Again, on this basis, the process of economic development can be quantified and thus typicalities identified. The process is characterized by several parameters: intensity, which reflects the quantitative side of the development process; homogeneity reflecting upon the qualitative side of the development process, and dynamics, integrating development intensity and homogeneity into one generalizing mean. The values of the economic development process make it possible to divide all the countries of the European Union into three levels. This distinction allows for a differentiated analysis of the effects of economic development of countries in terms of their social, environmental and other development.
The European Union is made up of countries that differ significantly in their economic development. In order to develop tailored strategies for their development, it should be possible to quantify the condition at a desired point in particular time. Again, on this basis, the process of economic development can be quantified and thus typicalities identified. The process is characterized by several parameters: intensity, which reflects the quantitative side of the development process; homogeneity reflecting upon the qualitative side of the development process, and dynamics, integrating development intensity and homogeneity into one generalizing mean. The values of the economic development process make it possible to divide all the countries of the European Union into three levels. This distinction allows for a differentiated analysis of the effects of economic development of countries in terms of their social, environmental and other development.
The European Union is made up of countries that differ significantly in their economic development. In order to develop tailored strategies for their development, it should be possible to quantify the condition at a desired point in particular time. Again, on this basis, the process of economic development can be quantified and thus typicalities identified. The process is characterized by several parameters: intensity, which reflects the quantitative side of the development process; homogeneity reflecting upon the qualitative side of the development process, and dynamics, integrating development intensity and homogeneity into one generalizing mean. The values of the economic development process make it possible to divide all the countries of the European Union into three levels. This distinction allows for a differentiated analysis of the effects of economic development of countries in terms of their social, environmental and other development.
Foreign direct investment (FDI) is an extremely important factor that promotes national competitiveness and economic development through technology transfer, new management skills, foreign trade, corporate productivity, etc. This study aims to analyze the significance of FDI and its impact on tax revenue and competitiveness, focusing on the European Union (EU) economy. An empirical analysis is conducted to determine the relationship between inward and outward FDI and tax revenue by employing data on EU countries between 1999 and 2019. The data were extracted from the United Nations Conference for Trade and Development (UNCTAD) database and the World Development Indicators database (WDI) of the World Bank. To fulfill the objective of this study and to determine the effect of FDI on tax revenue, an econometric model was developed. The research methods include systematic and comparative analysis of scientific literature, panel data analysis, and multiple regression analysis. The regression analysis was based on the least-squares method, and the estimates of the econometric models were calculated by identifying robust heteroscedasticity-consistent standard errors. The study results reveal that the outward FDI has a significant stimulating impact on total tax revenue. In contrast, inward FDI has a dampening effect on tax revenue. The analysis of the lagging effect of FDI on tax revenue in the EU member states revealed a statistically significant lagging impact of the outward FDI made two years before. The estimations indicate that the lagging effect is an incentive. No statistically significant lagging effect of the inward FDI flows on tax revenue was found.
The International Conferences on Economics and Social Sciences (ICESS)organized by Bucharest University of Economic Studies provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. The papers presented at the Conference are available online in the Conference Proceedings series (ISSN 2704-6524): Volume 2019 Collaborative Research for Excellence in Economics and Social Sciences, ISBN 9788366675322 Volume 2020 Innovative Models to Revive the Global Economy, ISBN 9788395815072 This conference provides an opportunity for all those interested in Economics and Social Sciences to discuss and exchange research ideas. We welcome both empirical and theoretical work that is broadly consistent with the conference' general theme. Especially, researchers, PhD students and practitioners are invited to submit papers on the topics related to new models in entrepreneurship and innovation, sustainability and education, data science and digitalization, marketing and finance, Fintech & Insurtech etc. that will develop innovative instruments for countries, businesses and education. The innovative models for sustainable development aim to ensure simultaneous economic development, social development, and environmental protection, to achieve a higher quality of life for all people and protect all living beings and the planet. The main topics of the conference are focused on but not limited to the following sections: Fintech & Insurtech - towards a sustainable financial environment The role of innovation in public and private organizations Financial perspectives in turbulent times Global Challenges for Agri-Food Systems and Sustainable Development Economic Policies for Non-Cyclical Crises Education for Sustainable Development: impact of universities on society Marketing and Sustainability The role of accounting in Sustainable Development Global world after crisis: towards a new economic model Sustainability for future business Current challenges within demographic data: measurement, collection, retrieval, analysis and reporting We welcome you to join us for two intensive days of plenary speeches and specialized parallel sessions debates that will result in high quality practical insights and networking. Scientific CommitteeACELEANU Mirela, Bucharest University of Economic Studies, RomaniaALBU Lucian, Academia Romana, RomaniaANGHEL Ion, Bucharest University of Economic Studies, RomaniaARROYO GALLARDO Javier, Complutense University of Madrid, SpainAUSLOOS Marcel, Leicester University, United KingdomBEGALLI Diego, University of Verona, ItalyBELLINI Francesco, Sapienza University of Rome, ItalyBRATOSIN Ștefan, Universite Montpellier 3, FranceCABANIS Andre, Universite Toulouse 1 Capitole, FranceCASTERAN Herbert, EM Strasbourg University, FranceCENȚIU Silvian, Retina Communications, San Francisco, USACERQUETI Roy, Sapienza University of Rome, ItalyCHAVEZ Gilbert, Globis University Tokyo, JapanCOSTICÃ Ionela, Bucharest University of Economic Studies, RomaniaCOX Michael, London School of Economics, England, UKD'ASCENZO Fabrizio, Sapienza University of Rome, ItalyDIMA Alina Mihaela, Bucharest University of Economic Studies, RomaniaDÂRDALÃ Marian, Bucharest University of Economic Studies, RomaniaDUMITRESCU Dan Gabriel, Bucharest University of Economic Studies, RomaniaDUMITRU Ovidiu, Bucharest University of Economic Studies, RomaniaFELEAGÃ Liliana, Bucharest University of Economic Studies, RomaniaFONSECA Luis Miguel, Polytechnic of Porto, PortugalGARCÍA-GOÑI Manuel, Universitad Complutense de Madrid, SpainGIUDICI Paolo, The University of Pavia, ItalyGRUBOR Aleksandar, University of Novi Sad, SerbiaHÄRDLE Wolfgang Karl, Humboldt University of Berlin, GermanyHURDUZEU Gheorghe, Bucharest University of Economic Studies, RomaniaISTUDOR Nicolae, Bucharest University of Economic Studies, RomaniaKOKUSHO Kyoko, IBM Tokyo, JapanLOMBARDI Mariarosaria, University of Foggia, ItalyMEHMANPAZIR Babak, EM Strasbourg University, FranceMIRON Dumitru, Bucharest University of Economic Studies, RomaniaNABIRUKHINA Anna Vadimovna, Saint Petersburg State University, RussiaNICA Elvira, Bucharest University of Economic Studies, RomaniaNIJKAMP Peter, Jeronimus Academy of Data Science Den Bosch, NetherlandsNOVO CORTI Maria Isabel, Universidade da Coruña, SpainORDÓÑEZ MONFORT Javier, Jaume I University, SpainPANETTA Roberto, Bocconi University, ItalyPARASCHIV Dorel Mihai, Bucharest University of Economic Studies, RomaniaPICATOSTE Xose, Universidad Autonoma de Madrid, SpainPIROȘCÃ Grigore, Bucharest University of Economic Studies, RomaniaPOINT Sébastien, EM Strasbourg University, FrancePOPA Ion, Bucharest University of Economic Studies, RomaniaPROFIROIU Marius Constantin, Bucharest University of Economic Studies, RomaniaRICHMOND Peter, Trinity College Dublin, IrelandSÂRBU Roxana, Bucharest University of Economic Studies, RomaniaSINGER Slavica, J.J. Strossmayer University of Osijek, CroatiaSMEUREANU Ion, Bucharest University of Economic Studies, RomaniaSTAMULE Tãnase, Bucharest University of Economic Studies, RomaniaSTATE Radu, University of Luxembourg, LuxembourgSTOIAN Mirela, Bucharest University of Economic Studies, RomaniaSTRAT Vasile Alecsandru, Bucharest University of Economic Studies, RomaniaSTREET Donna, University of Dayton, USATEIXEIRA DOMINGUES José Pedro, University of Minho, PortugalȚIGU Gabriela, Bucharest University of Economic Studies, RomaniaVALDEBENITO Carlos Ramirez, University of Chile, Santiago de Chile, ChileVEGHEȘ Cãlin Petricã, Bucharest University of Economic Studies, RomaniaVERHOEF Peter, University of Groningen, NetherlandsVOLKMANN Christine Katharina, Schumpeter School of Business and Economics, Bergische Universität Wuppertal, GermanyWALTER FARKAS Erich, University of Zurich, SwitzerlandWIERENGA Berend, Rotterdam School of Management, NetherlandsWOODS Michael, University of Aberystwyth, Wales, UKZIMMERMANN Klaus F., Bonn University (em.) end Global Labor Organization, Germany Open Access Statement These conference proceedings are Open Access proceedings that allow a free unlimited access to all its contents without any restrictions upon publication to all users. Open Access License These conference proceedings provide immediate open access to its content under the Creative Commons BY-NC-ND 4.0. Authors who publish with these proceedings retain all copyrights and agree to the terms of the above-mentioned CC BY-NC-ND 4.0 license. ABSTRACTING & INDEXING Innovative Models to Revive the Global Economy is covered by the following services: Directory of Open Access Books (DOAB) EBSCO Discovery Service Google Scholar Naviga (Softweco) Primo Central (ExLibris) ReadCube Summon (ProQuest) TDOne (TDNet) WorldCat (OCLC)