This article concerns research conducted on the casual connections between modern global migratory processes and basic socioeconomic and safety indexes for countries around the world countries. On the basis of new official dataset there was developed a cluster model of countries distributed according to the basic indicators which characterize migratory streams (emigration/ immigration), safety and macroeconomic indexes, related to the international migration. It is established that, in general, people are moving to safer countries that can provide them with better opportunities and social guarantees. The factor models for emigration and immigration processes, and international migration in general have been constructed. The main factors that prompt people to change their place of residence and the economic and safe effects of unprecedented levels of international migration are revealed. The empirical research examined in this paper confirmed the causal link between the volumes of international migration flows and the growth of Foreign Direct Investment in home countries and the reduction of security in host countries. The lack of statistical connection between immigration and emigration flows has been established.
The aim of the article was to build analytical models in the construction industry based on the analysis of its economic indicators and the use of positive foreign experience, as well as by identifying opportunities to optimize resources using better accounting and control systems. The achievement of the goal was based on the results of canonical correlation analysis. Its application allowed us to conclude that there is a long time lag (5 years) of making strategic management decisions on the formation and use of resources in construction companies and their results. This is due to the significant duration of construction work and the frequent commissioning of residential premises with a delay of 1-2 years due to political, economic, financial and other problems. Based on the analysis of Ukrainian and international experience in accounting and control over the formation and use of resources, proposals have been developed for the use of flexible schedules for the supply of material and technical resources using the latest information and computer technology (ICT), work calendars (desktop, wall) and electronic devices with reminders of dates of payment of invoices of suppliers and contractors, dates and forms of financial and administrative reporting, etc. The object of research is the process of complex interaction of accounting, control, analysis and modeling to ensure effective management of material, technical and financial resources of construction companies in 24 regions of Ukraine, European and other countries. The subject of research is the theoretical and practical principles of application of modeling and analysis in accounting and control over the formation and use of material, technical and financial resources of construction companies. It is revealed that the enterprises of the construction industry of Ukraine, many European countries and countries of other continents do not fully use the existing potential of the latest information and computer technologies and modern modeling methods for the organization and optimization of business processes; establishing logistical links between business partners; systems for managing the processes of supply, warehousing, construction production, marketing; reducing costs at all stages of the life cycle of construction products. Based on this, two hypotheses are derived, the first of which indicates the potential of construction companies to effectively carry out financial and management accounting, internal control; to put construction objects into operation quickly, efficiently and in a timely manner. The second hypothesis points to the fact that construction companies for various reasons violate the procedure for accounting for resources, do not perform planned measures of internal control; allow disruptions of construction processes and terms of commissioning of construction objects; allow the lack and misuse of material and financial resources. The practical application of proposals to optimize the use of resources modeled in the research process and proposed ways to improve the efficiency of information and computer technology can be effectively implemented to ensure business processes in construction, in particular the implementation of logistics in the search and delivery of resources. construction projects and warehouses. This will significantly reduce the cost of accounting and control support of construction work, without reducing their quality and timeliness.
To ensure effective competition for global resources, countries around the world are creating an international image (nation brands), on which their influence in the international arena depends. This brand is influenced by politics, governance and socio-economic development. The attractiveness of nation brands is a necessary condition for the competitiveness of the state. Based on the components of a significant measure of a country’s positive reputation of the Global Soft Power Index (GSPI) 2022 for 120 countries, a discriminant model was built to determine the significant factors that affect the level of perception of the state’s competitiveness and assess geopolitical risks.
Many of the problems that the world faces today appeared as the result of unstable development. Global climate change, resource depletion, space debris, poverty, inequality, and threats to global security are the main but not the only challenges for modern humanity. The important issue in studying the problems of sustainable development of the countries in the world is the development of strategies that would give an opportunity to avoid environmental and social catastrophes. The correspondence analysis is used to identify the relationship between the Happy Planet Index (which is an aggregate indicator of achievements in the key aspects of human development, such as life duration and quality, distribution uniformity, access to knowledge, and preservation of environment) and Gross National Income (one of the basic metrics of the population welfare level). The analysis led to the conclusion that the income level of the population is not the main factor in assessing the level of sustainable development of a country. The obtained results can give important and useful information for social institutions and politicians.
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