Economic Complexity: In 2019, the highest complexity exports of Rio Grande Do Sul according to the product complexity index (PCI) are Motor-working Tools (1.56), Ketones and Quinones (1.26), Synthetic Rubber (1.14), Vehicle Bodies (1.11), and Engine Parts (1.07). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.
This section shows forecasts for total exports and imports from Rio Grande do Sul. The forecast is based in a Long Short-Term Memory Model constructed using monthly trade data.
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 Rio Grande Do Sul 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 Rio Grande Do Sul. These are products that tend to be co-exported with the products that Rio Grande Do Sul 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.