Forecast of the dynamics of world import by commodity groups

Objective to forecast the structure and volume of world imports by commodity groups. Methods statistical processing of global trade data with Big Data methods regression and correlation analysis. Results the Russian economy needs to restructure exports. To solve this problem it is important to assess and forecast the global demand for certain goods. The article presents the results of the analysis of the main trends and forecasts of the development of individual industries as well as their place in the global trade. It is shown that in accordance with the forecasts of analysts there are significant prospects in the coming years in the fields of pharmaceutics automotive industry aircraft production telecommunications etc. UNCTAD data with a sample of product groups for each country were used to model the forecast demand for product groups. As a result of the trends modeling the article identifies the main product categories that will have the greatest growth in the global trade. It is established that the constructed forecasts correspond to the data of economic research and forecasts of analytical companies. The article also determines the relationship between imports of goods by country and various indicators. The indicators that are characterized by the highest level of correlation with the studied product categories are revealed. On the basis of the obtained results the conclusions are formulated about the most promising sectors for Russian exports in order to transit to a nonresource economy. Scientific novelty the technique is developed which enables to make longterm forecasts of trade dynamics of large volumes of data. Practical significance the results of the forecast should be used to determine the priorities of Russiarsquos industrial policy aimed at accelerated transition to a nonresource economy

Economic Development and Sociopolitical Destabilization: A Re-Analysis

Our empirical tests generally support the hypothesis that up to certain values of the average per capita income its growth tends to lead to increased risks of sociopolitical destabilization, and only in the upper range of this indicator its growth tends to be associated with the decrease of sociopolitical destabilization risks. However, our analysis has shown that for various indices of sociopolitical destabilization this curvilinear relationship can be quite different in some important details. On the other hand, we detect the presence of a very important exception. We show that the relationship between per capita GDP and the intensity of coups and coup attempts is not curvilinear; in this case we are rather dealing with a pronounced negative correlation; a particularly strong negative correlation is observed between this index and the logarithm of GDP per capita. We demonstrate that this fact makes the abovementioned bell-shaped relationship with respect to the integral index of sociopolitical destabilization considerably less distinct and makes a very significant contribution to the formation of its asymmetry (when the negative correlation between per capita GDP and sociopolitical destabilization among the richer countries looks much stronger than the positive correlation among poorer countries). However, our analysis shows that for all the other indices of sociopolitical destabilization we do witness the bell-shaped relationship. On the other hand, for example, in relation to such indices, as political strikes, riots and anti-government demonstrations we deal with such an asymmetry that is directly opposite to that mentioned above - with such an asymmetry, when a positive correlation between GDP and instability for poorer countries is much stronger than the negative correlation for richer countries.

Economic Development and Sociopolitical Destabilization: A Re-Analysis

Our empirical tests generally support the hypothesis that up to certain values of the average per capita income its growth tends to lead to increased risks of sociopolitical destabilization, and only in the upper range of this indicator its growth tends to be associated with the decrease of sociopolitical destabilization risks. However, our analysis has shown that for various indices of sociopolitical destabilization this curvilinear relationship can be quite different in some important details. On the other hand, we detect the presence of a very important exception. We show that the relationship between per capita GDP and the intensity of coups and coup attempts is not curvilinear; in this case we are rather dealing with a pronounced negative correlation; a particularly strong negative correlation is observed between this index and the logarithm of GDP per capita. We demonstrate that this fact makes the abovementioned bell-shaped relationship with respect to the integral index of sociopolitical destabilization considerably less distinct and makes a very significant contribution to the formation of its asymmetry (when the negative correlation between per capita GDP and sociopolitical destabilization among the richer countries looks much stronger than the positive correlation among poorer countries). However, our analysis shows that for all the other indices of sociopolitical destabilization we do witness the bell-shaped relationship. On the other hand, for example, in relation to such indices, as political strikes, riots and anti-government demonstrations we deal with such an asymmetry that is directly opposite to that mentioned above - with such an asymmetry, when a positive correlation between GDP and instability for poorer countries is much stronger than the negative correlation for richer countries

Economic Development, Sociopolitical Destabilization and Inequality

In the 1960s Mancur Olson and Samuel Huntington suggested that the positive correlation between per capita income and the level of sociopolitical destabilization that they detected for low and middle income countries might be partly accounted for by the growth of the inequality associated with the economic and technological development in these countries. The empirical tests we perform generally support this hypothesis, but they also identify certain limits for such an explanation. Our tests reveal for low and middle income countries a statistically significant correlation between GDP per capita and the economic inequality levels, but this correlation is not particularly strong. Earlier we found for the same countries significantly stronger positive correlations between GDP per capita and some important components of sociopolitical destabilization, such as the intensity of political assassinations, general strikes and anti-government demonstrations. It is quite clear that the strong association between the increase in the intensity of these components of sociopolitical destabilization and GDP per capita growth, can be explained by a much weaker tendency toward the growth of economic inequality only partly. In addition, our empirical tests suggest the presence of a certain threshold level of about 40 points on the Gini scale, after crossing which one can expect a radical increase in levels of sociopolitical destabilization in general, and the intensity of terrorist acts / guerrilla warfare and anti-government demonstrations in particular. According to the World Bank, the value of the Gini coefficient for Russia is now just in this zone, which suggests that the further growth of inequality in Russia could lead to an abrupt increase in political destabilization