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PresentationsComparative analysis of approaches to assessing the economic complexity of regionsCEMI RAS gusevalexeyal@yandex.ru The Economic Complexity Index (ECI) (Hidalgo, Hausmann, 2009) measures the complexity of a region's production structure by combining information about the diversity of the economy (number of strong sectors) and the prevalence of strong sectors (number of regions where a sector is strong). The idea behind ECI is that developed regional economies are varied (diversified) and produce products of strong sectors, which on average have low prevalence because only a few regional economies have developed the sector to strong levels. The characteristics of the complexity of the production structures of the regions can be considered as an indicator of the level of human and social capital of the regional economy, since the ability of the region to produce products of strong sectors with high complexity ratings depends on the accumulated knowledge and the ability of people to form social and professional networks in order to collect, accumulate and use in producing new knowledge (Hidalgo, 2015). The report proposes an approach to assessing the economic complexity of Russian regions by 24 types of economic activity (TEA). The approach is based on the standard method for assessing the economic complexity of regions and allows obtaining estimates of the economic complexity of TEA. A comparative analysis of estimates of economic complexity for 82 sectors and 24 TEA for 79 regions was carried out according to data for 2019. The correlation is 0.77. In the absence of three extractive regions (Orenburg, Tyumen and Sakhalin regions), the correlation of estimates of the economic complexity of regions by sector and by TEA becomes 0.82. Various threshold values for the RCA index are considered. The maximum closeness between estimates of the economic complexity of regions by sectors and TEA is achieved at threshold values of 0.25 for sectors and 0.25 for TEA, respectively. The correlation is 0.87. Thus, estimates of the economic complexity of regions remain highly stable when moving from data on tax revenues when assessed by sectors to data on production volumes when assessed by TEA. An assessment of the economic complexity of regions according to 24 TEA can be useful in solving management problems aimed at increasing the economic complexity of the region.
Literature 1. Hidalgo, C. (2015). Why information grows: The evolution of order, from atoms to economies. New York: Penguin Press. 2. Hidalgo, C. A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570–10575.
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