Pub Date : 2024-01-25DOI: 10.53465/edamba.2023.9788022551274.187-196
Tomáš Oleš
Technological advances have changed the labor market, and automation technology is a major factor affecting jobs. To study its impact, it's important to accurately measure automation technologies. Patent text is a novel approach to understanding technological progress and identifying the tasks that different automation technologies can perform. The paper uses a dictionary-based approach to identify automation technologies from patent text and categorizes them into three groups: Robots, Software, and Artificial Intelligence. We find that the number of patents related to these groups has grown exponentially since 1980, with AI patents growing the fastest since the 1990s. Most patents are in the Physics (G) patent family. The tasks performed by the different groups of automation technologies vary, with robots focusing on assembly tasks, software on information processing, and AI on higher cognitive tasks. Almost all technologies aim to improve efficiency and reduce costs, according to the patent description.
{"title":"Analyzing Automation Technologies and Their Tasks in Patent Texts Using Natural Language Processing","authors":"Tomáš Oleš","doi":"10.53465/edamba.2023.9788022551274.187-196","DOIUrl":"https://doi.org/10.53465/edamba.2023.9788022551274.187-196","url":null,"abstract":"Technological advances have changed the labor market, and automation technology is a major factor affecting jobs. To study its impact, it's important to accurately measure automation technologies. Patent text is a novel approach to understanding technological progress and identifying the tasks that different automation technologies can perform. The paper uses a dictionary-based approach to identify automation technologies from patent text and categorizes them into three groups: Robots, Software, and Artificial Intelligence. We find that the number of patents related to these groups has grown exponentially since 1980, with AI patents growing the fastest since the 1990s. Most patents are in the Physics (G) patent family. The tasks performed by the different groups of automation technologies vary, with robots focusing on assembly tasks, software on information processing, and AI on higher cognitive tasks. Almost all technologies aim to improve efficiency and reduce costs, according to the patent description.","PeriodicalId":519024,"journal":{"name":"EDAMBA 2023: Conference Proceedings","volume":"72 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.53465/edamba.2023.9788022551274.24-34
Klaudia Bžanová, Ondrej Kováč
Unemployment is a factor that affects the economic security of individuals and society as a whole. The poverty risk rate is one of the main factors related to social inequality and social protection. Unemployment and long-term unemployment can increase the poverty risk rate because individuals have limited or insufficient income and employment opportunities. The relationship between unemployment, long-term unemployment and poverty rates is currently the subject of various research topics. This paper focuses on these interrelationships in Slovakia. The aim is to analyse the data and explore the correlations between these variables. The thesis mainly used statistical data provided by the Slovak Statistical Office and other relevant studies. The methods of analysis, synthesis and correlation were used. These data highlight the relationship between unemployment, long-term unemployment and poverty. The results of the article are intended to provide information for reducing unemployment, limiting long-term unemployment, and reducing the risk of poverty in Slovakia.
{"title":"The Relationship Between Unemployment and the Risk of Poverty in the Slovak Republic","authors":"Klaudia Bžanová, Ondrej Kováč","doi":"10.53465/edamba.2023.9788022551274.24-34","DOIUrl":"https://doi.org/10.53465/edamba.2023.9788022551274.24-34","url":null,"abstract":"Unemployment is a factor that affects the economic security of individuals and society as a whole. The poverty risk rate is one of the main factors related to social inequality and social protection. Unemployment and long-term unemployment can increase the poverty risk rate because individuals have limited or insufficient income and employment opportunities. The relationship between unemployment, long-term unemployment and poverty rates is currently the subject of various research topics. This paper focuses on these interrelationships in Slovakia. The aim is to analyse the data and explore the correlations between these variables. The thesis mainly used statistical data provided by the Slovak Statistical Office and other relevant studies. The methods of analysis, synthesis and correlation were used. These data highlight the relationship between unemployment, long-term unemployment and poverty. The results of the article are intended to provide information for reducing unemployment, limiting long-term unemployment, and reducing the risk of poverty in Slovakia.","PeriodicalId":519024,"journal":{"name":"EDAMBA 2023: Conference Proceedings","volume":"66 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.53465/edamba.2023.9788022551274.207-222
Jakub Pernický
This paper analysis the most important obstacles that are preventing more effective and faster transition to alternative means of transportation, while focusing on specific case of electric vehicles (EVs). As subject of transport emissions gains more attention, it is required to look for viable and economically and environmentally rational solutions towards transition to green road transport. First it evaluates, whether such transition is necessary and required, pointing out the current state of CO₂ emissions for which transport sector is responsible. Key issues preventing natural transition from internal combustion engine vehicles (ICEs) are then analyzed from consumer perspective. Paper evaluates and defines significance of each of the selected issues, reviews the most common assumptions and possible misconceptions. Several surveys data are analyzed and synthesized, providing a coherent answer applicable for most regions. Three key issues are defined and analyzed based on results, stating their relevance and solution possibility. The discussion then defines the current and future potential of EVs globally, as a potential successor of ICEs, based on information concluded, and provides summarized results of analyzed subject. Results points out to three major issues; range, price, and charging, while partially confirming their relevance, which is closely analyzed in individual parts of the paper. However, despite the fact, that the issues were confirmed to be still present, data proves a significant growth in demand for alternative transportation, specifically EVs. This trend could be expected to continue (even hasten) in short future due to gradual removal of given problems as perceived by consumers based on technological advance.
{"title":"Defining the Current Issues Preventing Natural Transition to Electric Vehicles (EVs)","authors":"Jakub Pernický","doi":"10.53465/edamba.2023.9788022551274.207-222","DOIUrl":"https://doi.org/10.53465/edamba.2023.9788022551274.207-222","url":null,"abstract":"This paper analysis the most important obstacles that are preventing more effective and faster transition to alternative means of transportation, while focusing on specific case of electric vehicles (EVs). As subject of transport emissions gains more attention, it is required to look for viable and economically and environmentally rational solutions towards transition to green road transport. First it evaluates, whether such transition is necessary and required, pointing out the current state of CO₂ emissions for which transport sector is responsible. Key issues preventing natural transition from internal combustion engine vehicles (ICEs) are then analyzed from consumer perspective. Paper evaluates and defines significance of each of the selected issues, reviews the most common assumptions and possible misconceptions. Several surveys data are analyzed and synthesized, providing a coherent answer applicable for most regions. Three key issues are defined and analyzed based on results, stating their relevance and solution possibility. The discussion then defines the current and future potential of EVs globally, as a potential successor of ICEs, based on information concluded, and provides summarized results of analyzed subject. Results points out to three major issues; range, price, and charging, while partially confirming their relevance, which is closely analyzed in individual parts of the paper. However, despite the fact, that the issues were confirmed to be still present, data proves a significant growth in demand for alternative transportation, specifically EVs. This trend could be expected to continue (even hasten) in short future due to gradual removal of given problems as perceived by consumers based on technological advance.","PeriodicalId":519024,"journal":{"name":"EDAMBA 2023: Conference Proceedings","volume":"54 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.53465/edamba.2023.9788022551274.301-309
Kristína Jánošková
The European Structural and Investment Funds (ESIF) represent a valuable tool of the European Union. EU countries use the funds to finance activities focused on different areas. They are primarily aimed at reducing regional disparities between regions. The objective of this paper is to examine the effect of the European Structural and Investment Funds on economic indicators in Slovakia. To achieve this aim, the paper examines the evolution of economic indicators between the years 2007 and 2021. Secondary data on the drawing of the European Structural and Investment Funds in Slovakia in the period under review are identified. The impact is detected in the paper based on regression and correlation analysis. Established on the correlation and regression analysis outcome, we can argue that there is a dependence between the implementation of ESIF and the economic indicators, although the implementation of the ESIF has a small impact on gross domestic product and unemployment.
{"title":"Impact of European Structural and Investment Funds on the Slovak Economy","authors":"Kristína Jánošková","doi":"10.53465/edamba.2023.9788022551274.301-309","DOIUrl":"https://doi.org/10.53465/edamba.2023.9788022551274.301-309","url":null,"abstract":"The European Structural and Investment Funds (ESIF) represent a valuable tool of the European Union. EU countries use the funds to finance activities focused on different areas. They are primarily aimed at reducing regional disparities between regions. The objective of this paper is to examine the effect of the European Structural and Investment Funds on economic indicators in Slovakia. To achieve this aim, the paper examines the evolution of economic indicators between the years 2007 and 2021. Secondary data on the drawing of the European Structural and Investment Funds in Slovakia in the period under review are identified. The impact is detected in the paper based on regression and correlation analysis. Established on the correlation and regression analysis outcome, we can argue that there is a dependence between the implementation of ESIF and the economic indicators, although the implementation of the ESIF has a small impact on gross domestic product and unemployment.","PeriodicalId":519024,"journal":{"name":"EDAMBA 2023: Conference Proceedings","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-25DOI: 10.53465/edamba.2023.9788022551274.250-260
Michal Rimeš
This paper summarizes the optimal capital structure, comparing the period before and during the COVID-19 pandemic. Using the analysis of financial statements, we deal with the adequacy of the capital structure, drawing on the available literature that describes both classical and current models. We concluded that the company’s low credit indebtedness was very beneficial for companies during the pandemic period since companies with a high credit burden were much more likely to become insolvent. The company we monitor draws foreign sources of coverage mainly from the sources of the consolidated whole, which is a huge competitive advantage, but we realize that not every company has such possibilities. In addition, itis necessary to monitor liquidity indicators, because our analysis showed that although the company, we monitor is financially sound and in excellent shape, it may have problems with repaying its liabilities, as its liquidity ratios have been below the optimal threshold for a long time.
{"title":"Analysis of the Capital Structure of the Company in the Period Before and During the COVID-19 Pandemic","authors":"Michal Rimeš","doi":"10.53465/edamba.2023.9788022551274.250-260","DOIUrl":"https://doi.org/10.53465/edamba.2023.9788022551274.250-260","url":null,"abstract":"This paper summarizes the optimal capital structure, comparing the period before and during the COVID-19 pandemic. Using the analysis of financial statements, we deal with the adequacy of the capital structure, drawing on the available literature that describes both classical and current models. We concluded that the company’s low credit indebtedness was very beneficial for companies during the pandemic period since companies with a high credit burden were much more likely to become insolvent. The company we monitor draws foreign sources of coverage mainly from the sources of the consolidated whole, which is a huge competitive advantage, but we realize that not every company has such possibilities. In addition, itis necessary to monitor liquidity indicators, because our analysis showed that although the company, we monitor is financially sound and in excellent shape, it may have problems with repaying its liabilities, as its liquidity ratios have been below the optimal threshold for a long time.","PeriodicalId":519024,"journal":{"name":"EDAMBA 2023: Conference Proceedings","volume":"325 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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