The development of the domestic tourism market, including the Arctic zone of the Russian Federation, is important for overcoming the consequences of the economic crisis caused by the COVID-19 pandemic. A comprehensive and reliable methodology for assessing the tourism potential is necessary for effective decision making and attracting tourists. Based on the analysis of international and Russian experience of assessing tourist destinations, we identified the shortcomings of the existing methods and substantiated the necessity of a nuanced approach to assessing the tourism potential of regions using authors’ balanced scorecard. Our methodology relies on the balanced approach, demonstrating the compliance of the assessment results with the interests of tourism stakeholders. The developed method considers information needs and main interests of tourists, business representatives, regional population and authorities. Based on key parameters of the tourism potential of the Arctic zone, we defined the structure of the balanced scorecard (economic, infrastructural and cultural-natural aspects) using systems and structural-functional analysis. Further, using the multivariate mean (with target values of indicators as a standardised coefficient), we calculated integral indicators, eliminating the influence of dynamics of other regions on the assessment results. Structural and comparative analysis of a matrix of integral indicators allowed us to examine the dynamics of the tourism potential of the Russian Arctic and ways to improve it (on the example of Arkhangelsk oblast). Correlation analysis of the relations between the tourism potential and tourist flows within a time lag confirms the reliability of the developed methodology. Research results can be used by authorities managing the Russian Arctic for identifying the ways to increase its tourism potential
Subject. The article investigates the nexus of migration and economic development and the way it is presented in scientific periodicals. The novelty of the study is that it comprehensively analyzes the extent to which migration processes are studied in terms of different criteria. Objectives. We determine the extent to which the nexus of migration and economic development is studied in scientific periodicals, find bottlenecks and further avenues of research. Methods. To describe the publication activity in scientific periodicals, proceedings were split by location in electronic databases, i.e. whether the journal is included into a list of reviewed editions, by a team of authors, place of publication. To trace tendencies of studies into migration issues, papers were classified by type of an article, nationality of the focus of research, subject, methods of analysis. Results. Based on a sample of 40 outstanding publications on the relationship of migration and economic growth from such databases as elibrary.ru, scholar.google.com, SceinceDirect.com, which were presented in full text for the recent 50 years, we conducted the statistical analysis of the sampled population. We discovered the scarcity of reviewing papers on the relationship of migration and economic growth, thus making it difficult to understand the elaboration of this matter and prospects of further research. We underline which issues were least studies, such as migration analysis methods, its planning and forecasting. Conclusions. Intended predominantly for those who study migration processes, the findings can be a stepping stone for setting up goals of other scientific and practical research into migration and economic development. The proposed analysis can be repeated in the future to compile respective statistics.
Among key factors that are perceived as crucial to the investment development within an economic system is sectoral composition. It is essential to identify those types of economic activity that define the makeup of the investment-related links between associated sectors. Based on the sector approach to investment and demand, this article looks at how the investment self-induction mechanism influences intersectoral investment dynamics. Among the outcomes of our study we is a method for identifying, based on output-input account data, key investment growth spurts. The method we suggest has been applied to the analysis of the U.S. industries’ performance. The main hypothesis we explore builds on the idea that the investment growth spurts may shortly after they have been given ample impetus launch what we call a mechanism of self-induction of investment, while also spurring the investment development within adjacent sectors of economy. The presented theoretical assumptions are backed up with empirical outcomes. In our study we made use of the data released by the US Department of Commerce. The conclusions we arrived at enable identification of the industries which, if enhanced through self-induction of investment mechanism, may generate a desired increase in the investment flows within adjacent economic sectors.
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