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This paper provides an analysis of the debt burden of Russian companies and raises the issue of debt-level heterogeneity across economic sectors. To identify the causes of this heterogeneity, it estimates a regression model that includes both fundamental exfully explain the variation in the debt levels of companies in different sectors. According between fundamental factors and companies' debt levels. An understanding of the formation process and structure of debt burden in individual industries is extremely important reserved. debt burden, capital structure, sector analysis, microdata of Russian companies, emerging
One of the major targets of modern agri-food policy in Russia is a significant increase of agri-food exports — almost twice as much by 2024. In this projection, China is viewed as the most promising market. However, Russia’s entrance to the Chinese market faces a number of constraints. In addition to the standard difficulties associated with Russia’s agricultural and food exports (export infrastructure constraints, expensive logistics, and import bans on certain Russian products), there are fundamental constraints on supply to China in the long-term. This paper formulates a long-term view of the prospects of, and risks associated with, introducing Russian agricultural products into the Chinese market. Methodically, the paper is based on an evaluation of competitive performance by the conventional method of measuring a country’s comparative trade advantages with the Balassa index. Also the authors use trade statistics of Comtrade, Russian and Chinese national statistic agencies, estimates of international analytical centers such as World Bank, USDA, OECD, McKinsey.
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