Economic Complexity: In 2019, the highest complexity exports of Yaroslavl Region according to the product complexity index (PCI) are Carbon (0.079), Artistry Paints (N/A), Transmissions (1.49), Liquid Pumps (1.38), and Combustion Engines (1.2). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.
In 2019 the top export destinations of Yaroslavl Region were China ($250M), Poland ($123M), Belarus ($122M), Kazakhstan ($54.6M), and Hungary ($36.6M).
This section shows forecasts for total exports and imports from YAROSLAVL REGION. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
The highest complexity exports of Yaroslavl Region according to the product complexity index (PCI) are Carbon (0.079), Artistry Paints (N/A), Transmissions (1.49), Liquid Pumps (1.38), and Combustion Engines (1.2). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.
The product space is a network connecting products that are likely to be co-exported. The product space can be used to predict future exports, since Yaroslavl Region is more likely to start exporting products that are related to current exports. Relatedness measures the distance between a product, and all of the products it is currently specialized in.
This network shows the products most related to the production structure of Yaroslavl Region. These are products that tend to be co-exported with the products that Yaroslavl Region exports. Higher relatedness values ββindicate greater knowledge, which predicts a greater probability of exporting that product in the future.
The Complexity-Relatedness diagram compares the risk and the strategic value of a territory's potential export oppotunities. Relatedness is a predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth, less income inequality, and lower emissions.