Volume 13, Nº 2 (2023)

The need to ensure Russia's successful participation in the international economy actualizes the scientific problem solved in this article. It is the problem of analyzing the distribution of foreign economic activity among the territories of international spaces where Russia participates in cooperation. The solution to the problem is to assess the shares of behind-the-border regions in international markets. The development of tools for this assessment was the purpose of this study. This was carried out by analyzing, matching and correlating the Russian and international published nomenclature of international trade and investments statistics and tested in the Russia's leading foreign trade regions. To assess the share of behind-the-border region's foreign economic activity in the international markets of goods, services and capital, a set of indicators is substantiated. It provides an analysis of exports of goods and services, gross exports in commodity and geographical terms, the share of the region in exports of the international space, including Russia, the share of the region in imports of a foreign country that is a buyer of the region's products, including its imports from certain international spaces, the inflow of foreign investment and the placement of investments of the region abroad. Both the world as a whole and its regions, groups of countries, integration associations and individual countries are considered as international spaces. The results may be of interest to the structures of the Eurasian Economic Union when analyzing the territorial distribution of foreign economic activity within the Union.Funding.The study was carried out within the framework of the state task of the Federal State Budgetary Institution of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences for 2021-2023.

The continuing trend of the public debt growth in a number of Latin American countries in the post-pandemic period is a source of strengthening the crisis potential in the region. The author analyzes statistical data on the current situation in Latin American economies. The author hypothesizes that in the medium term it is impossible to qualitatively reduce the absolute volumes of public debts in a number of Latin American economies due to the significant uncertainty of the resumption of positive economic dynamics sufficient to ensure proper debt sustainability. Despite the importance and priority of the policy aimed at reducing the volume of public debts in absolute terms, the author makes the following forecast. In view of the global geopolitical tensions observed today, government borrowing by Latin American countries will increase in the medium term.This is due to both the goals of rapid economic recovery and previously not predicted economic shocks on a local and global scale. The assessment of possible drivers of future economic recovery is given. Their effective implementation can contribute to economic stabilization and achieve proper debt sustainability. The article may be of interest to both the investment community, financiers and economists.FUNDING.The article was prepared based on the results of research carried out at the expense of budgetary funds under the state assignment of the Financial University under the Government of the Russian Federation.

The present study is based on the method of comparative analysis to reveal the key features of the national industry strategies in artificial intelligence of the leading countries in the digital economy: the United States and China. This article reveals structural similarities and conceptual differences in setting goals and expectations from the development of artificial intelligence between the two mentioned states, filling the scientific gap in the comparative understanding of sectoral national strategies of the countries leading the digital economy in general and the artificial intelligence sector in particular. The study postulates the formation of two fundamentally different models of national policy in the field of artificial intelligence by considering fundamental economic and technical concepts within the framework of the national strategies of the countries mentioned. The results of the present study may become useful to students, professionals, and companies interested in understanding artificial intelligence strategies in the US and China. In addition, this article can serve as a valuable resource of industry information for making strategic decisions in public administration.

Migration flows have always had a certain impact on the national economy development. Due to the increase in the number of migrant workers in the country, there is a structural deformation of the labor market. The structure of government spending is changing. There are changes in the conjuncture of individual sectors of the economy. Migration flows can have both a positive and a negative impact on the country's economy. This is due to how legally migrants will work, as well as what positions in the labor market these persons will occupy. The essence of migration processes and the impact of these processes on the economy of the Russian Federation are analyzed. The analysis of money transfers and their structure was conducted. The authors discuss the fact of migration registration by foreign citizens, as well as the structure of vacancies and the employment of vacant places by non-residents. The authors have formulated a conclusion about the growth of migration flows associated with a shortage of labor resources in the state as a positive result of the impact on the country's economy, as well as the participation of non-residents in the shadow economy as a negative result of the impact on the economy of the Russian Federation.The article will be of interest to researchers studying the problems of labor migration, as well as to economists who analyze the specifics of the impact of migration flows on the economic development of the country.