The purpose of the study was to identify the main trends in the development of digitalization processes in the field of public administration. At the initial stage of the digitalization process in the Russian Federation, public services became more accessible to society, but this process was accompanied by the growth of structures involved in servicing technologies. Further development has focused on technologies that increase the efficiency of budget revenue administration, and financial risk management has become more perceived in the context of tax administration. The main research methods were general scientific methods - analysis and synthesis, induction and deduction; the comparative method was also used. As a result of their application, based on the study and generalization of scientific and official sources, the key dangers of the development of information technologies for financial risk management at the present stage were identified. They include the conflict between the activities of the state as a regulator and as an economic entity. Management of risks associated with the formation, distribution, redistribution and use of centralized funds to ensure the functions of public authorities and the implementation of public administration and regulation of activities, in some cases, contradicts the goals, tools and measures of risk management associated with the formation of additional resources for the economy and ensuring the stability of the financial system. The study indicated that the digitalization of the general government includes processes and measures that can both strengthen and undermine trust in the government and, as a result, influence the public's response to emerging risks. The pandemic has exacerbated the existing negative trends in the development of digitalization processes, as a result of which the use of digital technologies to overcome the consequences of financial risks in itself can generate new risks.
{"title":"Digitalization in state financial risk management","authors":"O. Arkadeva, N. Berezina","doi":"10.1145/3444465.3444491","DOIUrl":"https://doi.org/10.1145/3444465.3444491","url":null,"abstract":"The purpose of the study was to identify the main trends in the development of digitalization processes in the field of public administration. At the initial stage of the digitalization process in the Russian Federation, public services became more accessible to society, but this process was accompanied by the growth of structures involved in servicing technologies. Further development has focused on technologies that increase the efficiency of budget revenue administration, and financial risk management has become more perceived in the context of tax administration. The main research methods were general scientific methods - analysis and synthesis, induction and deduction; the comparative method was also used. As a result of their application, based on the study and generalization of scientific and official sources, the key dangers of the development of information technologies for financial risk management at the present stage were identified. They include the conflict between the activities of the state as a regulator and as an economic entity. Management of risks associated with the formation, distribution, redistribution and use of centralized funds to ensure the functions of public authorities and the implementation of public administration and regulation of activities, in some cases, contradicts the goals, tools and measures of risk management associated with the formation of additional resources for the economy and ensuring the stability of the financial system. The study indicated that the digitalization of the general government includes processes and measures that can both strengthen and undermine trust in the government and, as a result, influence the public's response to emerging risks. The pandemic has exacerbated the existing negative trends in the development of digitalization processes, as a result of which the use of digital technologies to overcome the consequences of financial risks in itself can generate new risks.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126747237","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}
The article represents the experience of Vietnam in the fight against coronavirus and the impact of the COVID-19 pandemic on the country's economy. Historical and logical methods are applied to examine the spread of coronavirus in Vietnam and the government's response to the pandemic. The approach used by the authors us based on the sustainable development concept and distinguishing the concepts of sustainable economic growth and sustainable economic development. The main attention is paid to the analysis of the reasons to allowed Vietnam's quick taking control over the epidemic situation in the country. Based on the materials of international organisations and data from the General Statistics Office of Vietnam, the impact of the pandemic on industry is estimated in terms of its structure. The important roles of the national innovation system and the achievements in digital transformation are revealed in the fight against coronavirus. The opportunities and chanllenges for Vietnam to achieve sustainable economic growth and to join the group of new industrial countries after the coronavirus pandemic are proven on the basis of the Vietnam Research Institute's of the Bank for Investment and Development data and of the World Monetary Fund's forecasts about the prospects of Vietnam's economic growth. By comparison of industrial production for the first six months of 2020 and for the similar period of 2019 the limitations in the development of manufacturing industry are disclosed. The conclusions are made about the resistance of Vietnamese economy and its growth opportunity during and after the coronavirus pandemic. The results of the investigation may be used by researchers studying the problems of economic development and by policy-makers involved in economic planning of developing countries.
{"title":"Sustainable economic growth in Vietnam: challenges and opportunities of the coronavirus pandemic","authors":"L. Guzikova, Thi Hong Van Lo, T. Nguyen","doi":"10.1145/3444465.3444519","DOIUrl":"https://doi.org/10.1145/3444465.3444519","url":null,"abstract":"The article represents the experience of Vietnam in the fight against coronavirus and the impact of the COVID-19 pandemic on the country's economy. Historical and logical methods are applied to examine the spread of coronavirus in Vietnam and the government's response to the pandemic. The approach used by the authors us based on the sustainable development concept and distinguishing the concepts of sustainable economic growth and sustainable economic development. The main attention is paid to the analysis of the reasons to allowed Vietnam's quick taking control over the epidemic situation in the country. Based on the materials of international organisations and data from the General Statistics Office of Vietnam, the impact of the pandemic on industry is estimated in terms of its structure. The important roles of the national innovation system and the achievements in digital transformation are revealed in the fight against coronavirus. The opportunities and chanllenges for Vietnam to achieve sustainable economic growth and to join the group of new industrial countries after the coronavirus pandemic are proven on the basis of the Vietnam Research Institute's of the Bank for Investment and Development data and of the World Monetary Fund's forecasts about the prospects of Vietnam's economic growth. By comparison of industrial production for the first six months of 2020 and for the similar period of 2019 the limitations in the development of manufacturing industry are disclosed. The conclusions are made about the resistance of Vietnamese economy and its growth opportunity during and after the coronavirus pandemic. The results of the investigation may be used by researchers studying the problems of economic development and by policy-makers involved in economic planning of developing countries.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108712","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}
Stable financial activities of organizations directly affect the sustainable development of the region. Based on statistical material, it is shown that the business structures of the city of Sevastopol are developing inefficiently. The main reasons are: lack of own financial resources, poor access to borrowed sources of financing, low investment attractiveness of the region due to the sanctions regime. In Sevastopol, credit organizations are not ready to actively finance legal entities - residents and individual entrepreneurs. The cost of credit resources is constantly decreasing, which is associated with a decrease in the discount rate of the Central Bank of the Russian Federation, but they still remain too expensive for business entities - banking clients. Therefore, it is advisable not to stop the program of preferential lending, including subsidizing the cost of paying interest on loans, but to improve it in terms of resolving issues regarding the legislative support of the size of budget support for lending, simplifying the access of business entities to preferential loansIt should not be forgotten that today, during the period of struggle in the country with the spread of coronavirus infection, the financial situation of individuals and legal entities has deteriorated sharply. The drop in revenue, the growth of counterparty defaults - all this will make it difficult for organizations to access cheaper bank loans. At the same time, for companies seriously affected by the crisis, interest rates on loans at some banks may even increase. There are a number of projects in the city within the framework of state programs, but the opacity of tender procedures and the inadequate mechanisms of their financing, including from budget sources, do not allow regional organizations to participate in their implementation.
{"title":"Financial Support for Business Entities in the City of Sevastopol","authors":"E. Piskun, E. Chaykina, S. Tarasenko, V. Khokhlov","doi":"10.1145/3444465.3444472","DOIUrl":"https://doi.org/10.1145/3444465.3444472","url":null,"abstract":"Stable financial activities of organizations directly affect the sustainable development of the region. Based on statistical material, it is shown that the business structures of the city of Sevastopol are developing inefficiently. The main reasons are: lack of own financial resources, poor access to borrowed sources of financing, low investment attractiveness of the region due to the sanctions regime. In Sevastopol, credit organizations are not ready to actively finance legal entities - residents and individual entrepreneurs. The cost of credit resources is constantly decreasing, which is associated with a decrease in the discount rate of the Central Bank of the Russian Federation, but they still remain too expensive for business entities - banking clients. Therefore, it is advisable not to stop the program of preferential lending, including subsidizing the cost of paying interest on loans, but to improve it in terms of resolving issues regarding the legislative support of the size of budget support for lending, simplifying the access of business entities to preferential loansIt should not be forgotten that today, during the period of struggle in the country with the spread of coronavirus infection, the financial situation of individuals and legal entities has deteriorated sharply. The drop in revenue, the growth of counterparty defaults - all this will make it difficult for organizations to access cheaper bank loans. At the same time, for companies seriously affected by the crisis, interest rates on loans at some banks may even increase. There are a number of projects in the city within the framework of state programs, but the opacity of tender procedures and the inadequate mechanisms of their financing, including from budget sources, do not allow regional organizations to participate in their implementation.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"6 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123740486","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}
A. Ivanus, V. Nevezhin, E. Piskun, Ekaterina Sharma
Any enterprise, regardless of the industry in which it operates, is exposed to both internal and external factors that can provoke its transition to an unfavorable situation. Thus, the enterprise should be ready for any kind of changes, associated with both internal and external influences, including uncertain ones. At the same time, the company should strive to get out of the current unfavorable situation within the shortest possible period of time. The article provides a variant of transition of the enterprise to the state of so-called "maximum readiness", in which it will feel comfortable in the event of external uncertainty. The concept of enterprise management in this situation is offered. Thereunder, the analysis of financial and economic indicators of a number of well-known Russian enterprises that belong to the same field of activity - the automotive industry has been carried out. The choice of this industry and its economic and social indicators is not accidental, since this industry represents a fairly large-scale segment of production, and it is simply not possible to avoid and neglect the influence of various macroeconomic factors on it. These indicators were considered from the point of view of the possibility of applying to them the state of maximum readiness in conditions of uncertainty. This approach allows to adapt the state of the enterprise and, accordingly, to maintain or increase its stable position in the market upon the availability of uncertainty factors. The proposed concept can be recommended for many firms and enterprises that are innovation-oriented, since they are usually the ones that are adversely affected by external uncertainty factors.
{"title":"Application of a Preventive Company Readiness Regime in Case of Uncertainty","authors":"A. Ivanus, V. Nevezhin, E. Piskun, Ekaterina Sharma","doi":"10.1145/3444465.3444471","DOIUrl":"https://doi.org/10.1145/3444465.3444471","url":null,"abstract":"Any enterprise, regardless of the industry in which it operates, is exposed to both internal and external factors that can provoke its transition to an unfavorable situation. Thus, the enterprise should be ready for any kind of changes, associated with both internal and external influences, including uncertain ones. At the same time, the company should strive to get out of the current unfavorable situation within the shortest possible period of time. The article provides a variant of transition of the enterprise to the state of so-called \"maximum readiness\", in which it will feel comfortable in the event of external uncertainty. The concept of enterprise management in this situation is offered. Thereunder, the analysis of financial and economic indicators of a number of well-known Russian enterprises that belong to the same field of activity - the automotive industry has been carried out. The choice of this industry and its economic and social indicators is not accidental, since this industry represents a fairly large-scale segment of production, and it is simply not possible to avoid and neglect the influence of various macroeconomic factors on it. These indicators were considered from the point of view of the possibility of applying to them the state of maximum readiness in conditions of uncertainty. This approach allows to adapt the state of the enterprise and, accordingly, to maintain or increase its stable position in the market upon the availability of uncertainty factors. The proposed concept can be recommended for many firms and enterprises that are innovation-oriented, since they are usually the ones that are adversely affected by external uncertainty factors.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121583621","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}
This article focuses on the concept of sustainable development in the Middle East using the fuzzy sets method, taking into account cultural, historical, social, economic, and political factors, as well as the presence of stable national traditions. The Middle East region is the largest supplier not only of oil and gas, but also of high-tech solutions in various fields: from military equipment to agriculture. The potential of the Middle East countries has a significant impact on global processes, affecting economic, social and environmental trends, which leads to the need to study the processes of sustainable development of the countries of this region. The use of quantitative methods such as the fuzzy sets approach in the analysis of the development of countries and the region as a whole, takes into account modern processes of digitalization and allows us to systematize the criteria and results of the study, tracking changes and analysing trends and forecasts. These indicators for the development of the Middle East enables national strategies for sustainable development to be developed, both for individual countries in the region and for the global community as a whole. The purpose of this study is to assess the level of sustainable development of Middle Eastern countries in the context of digitalization of the economy on the basis of a fuzzy sets approach. As part of the study, the criteria for the sustainable development of the Middle East countries were systematized in three directions in accordance with the global concept of sustainable development (economic, social, and environmental directions), five criteria (indicators) in each direction. After applying a fuzzy-multiple approach to calculate the level of sustainable development of countries in each direction, a rating of countries in the Middle East in accordance with the level of sustainable development was formed.
{"title":"Research Into The Level of Sustainable Development in The Middle East","authors":"E. Solovyova, Tatiana Bogdanova","doi":"10.1145/3444465.3444498","DOIUrl":"https://doi.org/10.1145/3444465.3444498","url":null,"abstract":"This article focuses on the concept of sustainable development in the Middle East using the fuzzy sets method, taking into account cultural, historical, social, economic, and political factors, as well as the presence of stable national traditions. The Middle East region is the largest supplier not only of oil and gas, but also of high-tech solutions in various fields: from military equipment to agriculture. The potential of the Middle East countries has a significant impact on global processes, affecting economic, social and environmental trends, which leads to the need to study the processes of sustainable development of the countries of this region. The use of quantitative methods such as the fuzzy sets approach in the analysis of the development of countries and the region as a whole, takes into account modern processes of digitalization and allows us to systematize the criteria and results of the study, tracking changes and analysing trends and forecasts. These indicators for the development of the Middle East enables national strategies for sustainable development to be developed, both for individual countries in the region and for the global community as a whole. The purpose of this study is to assess the level of sustainable development of Middle Eastern countries in the context of digitalization of the economy on the basis of a fuzzy sets approach. As part of the study, the criteria for the sustainable development of the Middle East countries were systematized in three directions in accordance with the global concept of sustainable development (economic, social, and environmental directions), five criteria (indicators) in each direction. After applying a fuzzy-multiple approach to calculate the level of sustainable development of countries in each direction, a rating of countries in the Middle East in accordance with the level of sustainable development was formed.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125686357","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}
A. Kulachinskaya, N. Lomakin, M. Maramygin, Tatyana Kuzmina
The paper considers the theoretical foundations for the use of artificial intelligence systems for managing bank capital. By growth rates of assets of a commercial bank, one can judge about its success and competitiveness. However, any activity of a bank is associated with the risk of growth, and, depending on a size of the bank, the parameters under consideration will differ. The aim of the study is to develop a neural network model to ensure the capital management of a commercial bank. The results obtained represent an increment in scientific knowledge, since the developed neural network algorithm provides a contribution to the scientific field regarding the use of artificial intelligence systems in solving problems in the banking sector. The hypothesis was advanced and proved that the neural network model "Kohonen Map" can be used to forecast the asset growth. Thus, for example, with the input parameters of the model: asset in 2018 - 26972302745 thousand rubles and asset in 2019 - 27735034904 thousand rubles, the projected value of growth in Sberbank's assets for the next year will be 2.8%, which coincides with the actual growth of the current year. A VaR model has been developed to assess the financial risk of building up a bank asset. The obtained value of X(1) = -4131299748 thousand rubles indicates that in the next year, the growth of assets will not exceed the value of -4131299748 thousand rubles with a 99% probability. And X(5) indicates that over the next five years, the decrease in assets will not fall below -9237867073.53 thousand rubles with a probability of 99%.
{"title":"Artificial neural network model for managing bank capital","authors":"A. Kulachinskaya, N. Lomakin, M. Maramygin, Tatyana Kuzmina","doi":"10.1145/3444465.3444473","DOIUrl":"https://doi.org/10.1145/3444465.3444473","url":null,"abstract":"The paper considers the theoretical foundations for the use of artificial intelligence systems for managing bank capital. By growth rates of assets of a commercial bank, one can judge about its success and competitiveness. However, any activity of a bank is associated with the risk of growth, and, depending on a size of the bank, the parameters under consideration will differ. The aim of the study is to develop a neural network model to ensure the capital management of a commercial bank. The results obtained represent an increment in scientific knowledge, since the developed neural network algorithm provides a contribution to the scientific field regarding the use of artificial intelligence systems in solving problems in the banking sector. The hypothesis was advanced and proved that the neural network model \"Kohonen Map\" can be used to forecast the asset growth. Thus, for example, with the input parameters of the model: asset in 2018 - 26972302745 thousand rubles and asset in 2019 - 27735034904 thousand rubles, the projected value of growth in Sberbank's assets for the next year will be 2.8%, which coincides with the actual growth of the current year. A VaR model has been developed to assess the financial risk of building up a bank asset. The obtained value of X(1) = -4131299748 thousand rubles indicates that in the next year, the growth of assets will not exceed the value of -4131299748 thousand rubles with a 99% probability. And X(5) indicates that over the next five years, the decrease in assets will not fall below -9237867073.53 thousand rubles with a probability of 99%.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"54 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116591491","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}
A. Babkin, L. Tashenova, O. Smirnova, D. Burkaltseva
Today the digital economy makes a considerable contribution to the world economy and the economies of individual countries and is reasonably one of the priority ways for the development of the former. Correspondingly, it is important to determine the tendencies in the digital economy, which will define the global trends in the immediate and distant future. One of the objectives of the study is an attempt of the authors to define the development trends of the digital economy based on the research of scientometrical indicators. In addition, the authors systematized the externalities and internalities of the industrial clustering processes. The object of the research is the digitalization processes both in Russia and abroad, and the factors that affect economic clustering. The research is aimed at defining the role of the digital economy in modern processes of global transformation, revealing the development trends of the digital economy based on the study of scientometric databases, as well as analyzing and classifying the economic clustering factors, including: economic, scientific and technological, institutional, geographic, global and legislativel.The methods used at various stages of the research include the methods of mathematical statistics, correlation-regression analysis, expert methods, as well as classifications, a comparative literature review, and correlation of the data obtained by Russian and foreign authors. The authors note that interest in the digital economy grows every year and currently this growth is exponential. In the scientific article authors describe the areas and programs of development of the digital economy in Russia and in some foreign countries. It is highlighted that most of the research in the digital economy is dedicated to digital technology application. Based on the analysis of the scientometric databases of the Russian Science Citation Index (RSCI) and Scopus, the development trends of the digital economy were shown.
{"title":"Analyzing the trends in the digital economy and the factors of industrial clustering","authors":"A. Babkin, L. Tashenova, O. Smirnova, D. Burkaltseva","doi":"10.1145/3444465.3444516","DOIUrl":"https://doi.org/10.1145/3444465.3444516","url":null,"abstract":"Today the digital economy makes a considerable contribution to the world economy and the economies of individual countries and is reasonably one of the priority ways for the development of the former. Correspondingly, it is important to determine the tendencies in the digital economy, which will define the global trends in the immediate and distant future. One of the objectives of the study is an attempt of the authors to define the development trends of the digital economy based on the research of scientometrical indicators. In addition, the authors systematized the externalities and internalities of the industrial clustering processes. The object of the research is the digitalization processes both in Russia and abroad, and the factors that affect economic clustering. The research is aimed at defining the role of the digital economy in modern processes of global transformation, revealing the development trends of the digital economy based on the study of scientometric databases, as well as analyzing and classifying the economic clustering factors, including: economic, scientific and technological, institutional, geographic, global and legislativel.The methods used at various stages of the research include the methods of mathematical statistics, correlation-regression analysis, expert methods, as well as classifications, a comparative literature review, and correlation of the data obtained by Russian and foreign authors. The authors note that interest in the digital economy grows every year and currently this growth is exponential. In the scientific article authors describe the areas and programs of development of the digital economy in Russia and in some foreign countries. It is highlighted that most of the research in the digital economy is dedicated to digital technology application. Based on the analysis of the scientometric databases of the Russian Science Citation Index (RSCI) and Scopus, the development trends of the digital economy were shown.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114717384","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}
E-government emphasizes new values of governance, such as civic engagement, openness and participation, it helps with reduction of costs and leads to better quality. However, there are countries that do not reach these goals despite the implementation of digital technologies. An important part of it is poorly designed strategy of reforms. Particularly, the case when the indicators of strategy do not conform closely to what is widely thought to be the modern digital government. In this case even the actual accomplishment of the targeted values cannot testify to the existence of a working e-government. The objectives of this research are to undertake a comparative analysis of the systems of indicators that Central and Eastern European (CEE) countries set for the digital reform and to compare these systems to international evaluation systems and theoretical background. The research question is whether the indicators that governments set can really show the transformation to the digital government. Using analysis of e-government indicators contained in the adopted reform programs and their relation with international digital government common goals and the indicators the author has tried to compare the approaches of the CEE countries to the reforms. The analysis showed that the systems of evaluation of e-government often do not meet all the requirements, and even the proper values of all the indicators cannot testify to the implementation of genuine digital government.
{"title":"Approaches to Evaluation of Digital Transformation of Government: Comparative Analysis of Indicators in the Central and Eastern European Countries","authors":"M. Ivanova, N. Putintseva","doi":"10.1145/3444465.3444508","DOIUrl":"https://doi.org/10.1145/3444465.3444508","url":null,"abstract":"E-government emphasizes new values of governance, such as civic engagement, openness and participation, it helps with reduction of costs and leads to better quality. However, there are countries that do not reach these goals despite the implementation of digital technologies. An important part of it is poorly designed strategy of reforms. Particularly, the case when the indicators of strategy do not conform closely to what is widely thought to be the modern digital government. In this case even the actual accomplishment of the targeted values cannot testify to the existence of a working e-government. The objectives of this research are to undertake a comparative analysis of the systems of indicators that Central and Eastern European (CEE) countries set for the digital reform and to compare these systems to international evaluation systems and theoretical background. The research question is whether the indicators that governments set can really show the transformation to the digital government. Using analysis of e-government indicators contained in the adopted reform programs and their relation with international digital government common goals and the indicators the author has tried to compare the approaches of the CEE countries to the reforms. The analysis showed that the systems of evaluation of e-government often do not meet all the requirements, and even the proper values of all the indicators cannot testify to the implementation of genuine digital government.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128913124","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}
Tatyana Feofilova, I. Alekseeva, E. Radygin, A. Litvinenko, Fedor Ivanov
Every country has to deal with the problem of managing and monitoring cross-border cash flows. The purpose of the study is to analyse tendencies in cross-border transactions, determine potential risks arising from the on-going introduction of digital technologies and innovative financial flows and propose measures to counter illicit transfer of funds abroad. The study focuses on net outward transfers of financial resources by the private sector and natural persons. The dynamics of funds being transferred from the Russian Federation in the last decade in absolute and relative terms are alarming for two reasons. First of all, the amount of money leaving Russia remains significant. When comparing the total net outward transfers made by the private sector to GDP values, it could be seen that they showed the highest numbers during difficult phases of the financial crisis. In 2008 and 2014, net outward transfers were estimated at 7.5% of Russia's GDP. Moreover, during the most favourable periods for the economy, their number increases, hereby approaching the decreasing number of net outward transfers by the private sector. This pattern proves the significance of such cash flows for the Russian economy. Secondly, when dealing with the problem of large amounts of funds being transferred from the country, it becomes crucial to identify not only their sources, but also their recipients and destination. In the study, tendencies in the transactions marked suspicious by primary financial monitoring bodies were described and analysed according to the imposed restrictive measures. Finally, it was decided that additional restrictive measures and improved schemes of countering illicit transfer of funds from Russia are needed now that the financial support to affected industries is allocated from the state budget, and more digital technologies are used in providing cash flows.
{"title":"Countering Illicit Transfer of Funds Abroad Improving the System of Countering Money Laundering","authors":"Tatyana Feofilova, I. Alekseeva, E. Radygin, A. Litvinenko, Fedor Ivanov","doi":"10.1145/3444465.3444495","DOIUrl":"https://doi.org/10.1145/3444465.3444495","url":null,"abstract":"Every country has to deal with the problem of managing and monitoring cross-border cash flows. The purpose of the study is to analyse tendencies in cross-border transactions, determine potential risks arising from the on-going introduction of digital technologies and innovative financial flows and propose measures to counter illicit transfer of funds abroad. The study focuses on net outward transfers of financial resources by the private sector and natural persons. The dynamics of funds being transferred from the Russian Federation in the last decade in absolute and relative terms are alarming for two reasons. First of all, the amount of money leaving Russia remains significant. When comparing the total net outward transfers made by the private sector to GDP values, it could be seen that they showed the highest numbers during difficult phases of the financial crisis. In 2008 and 2014, net outward transfers were estimated at 7.5% of Russia's GDP. Moreover, during the most favourable periods for the economy, their number increases, hereby approaching the decreasing number of net outward transfers by the private sector. This pattern proves the significance of such cash flows for the Russian economy. Secondly, when dealing with the problem of large amounts of funds being transferred from the country, it becomes crucial to identify not only their sources, but also their recipients and destination. In the study, tendencies in the transactions marked suspicious by primary financial monitoring bodies were described and analysed according to the imposed restrictive measures. Finally, it was decided that additional restrictive measures and improved schemes of countering illicit transfer of funds from Russia are needed now that the financial support to affected industries is allocated from the state budget, and more digital technologies are used in providing cash flows.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117251658","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}
N. Victorova, E. Vylkova, V. Naumov, N. Pokrovskaia
The paper is devoted to issues of diagnosing territories in terms of the effect that taxes are made on their development. The message of the research is competition that occurs between territories to possess a tax base. The purpose of the research is related to grouping regions into clusters by a set of indicators, which reflect tax status, tax administration and tax policy. The authors selected the official statistics of 2018, and using these data they calculated 14 indicators. Initially, the research covered 84 Russia's federal constituent entities. However, five Russia's federal constituent entities were excluded from the survey due to their abnormal data: Moscow, Sevastopol, Ingushetia, Khanty-Mansi and Yamalo-Nenets autonomous areas. The cluster analysis is conducted using the software SPSS, Rstudio, Anaconda Navigator. The analysis resulted into highlighting three regional clusters: 1) least functionally proportional (7 regions), 2) medium functionally proportional (50 regions), 3) diversely most successful (22 regions). It is found out that the leaders of the third cluster by digital indicators are Tyumen region, Murmansk region, Republic of Tatarstan, Leningrad region. These regions are highly rated by accessibility of digital technologies, internet usage and dissemination of digital competences. The authors of this paper suggest considering tax clustering of regions as an instrument to establish the tax policy at the sub-federal level. The given research has the following promising areas to develop.1) Adding non-typical indicators for specification of tax environment to the cluster analysis, which fully reflect the influence of miscellaneous external factors on regions' tax status. 2) Extrapolating results to assessment of the tax status for territories of other states. 3) Necessity to improve the method of tax clustering using the technology of artificial intelligence.
{"title":"Tax Clustering of Russian Regions as an Instrument to Classify Territories: Drivers in Digital Economy","authors":"N. Victorova, E. Vylkova, V. Naumov, N. Pokrovskaia","doi":"10.1145/3444465.3444502","DOIUrl":"https://doi.org/10.1145/3444465.3444502","url":null,"abstract":"The paper is devoted to issues of diagnosing territories in terms of the effect that taxes are made on their development. The message of the research is competition that occurs between territories to possess a tax base. The purpose of the research is related to grouping regions into clusters by a set of indicators, which reflect tax status, tax administration and tax policy. The authors selected the official statistics of 2018, and using these data they calculated 14 indicators. Initially, the research covered 84 Russia's federal constituent entities. However, five Russia's federal constituent entities were excluded from the survey due to their abnormal data: Moscow, Sevastopol, Ingushetia, Khanty-Mansi and Yamalo-Nenets autonomous areas. The cluster analysis is conducted using the software SPSS, Rstudio, Anaconda Navigator. The analysis resulted into highlighting three regional clusters: 1) least functionally proportional (7 regions), 2) medium functionally proportional (50 regions), 3) diversely most successful (22 regions). It is found out that the leaders of the third cluster by digital indicators are Tyumen region, Murmansk region, Republic of Tatarstan, Leningrad region. These regions are highly rated by accessibility of digital technologies, internet usage and dissemination of digital competences. The authors of this paper suggest considering tax clustering of regions as an instrument to establish the tax policy at the sub-federal level. The given research has the following promising areas to develop.1) Adding non-typical indicators for specification of tax environment to the cluster analysis, which fully reflect the influence of miscellaneous external factors on regions' tax status. 2) Extrapolating results to assessment of the tax status for territories of other states. 3) Necessity to improve the method of tax clustering using the technology of artificial intelligence.","PeriodicalId":249209,"journal":{"name":"Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131470689","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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