Hubei Province

Province in China

Exports (2019): $31.6B, Rnk 17 / 31

Top Destination (2019): $5.04B, United States

Top Export (2019): $1.45B, Telephones for cellular networks or for...

Imports (2019): $20.7B, Rnk 18 / 31

Top Origin (2019): $3.75B, Japan

Top Import (2019): $1.44B, Machines and apparatus of a kind...

Economic Complexity (2019): 0.15, Rnk 10 / 31

Exports: In 2019, China's Hubei Province exported $31.6B, making it the 17th largest exporter out of the 31 exporters in China.

In 2019 the top exports of Hubei Province were Telephones for cellular networks or for... ($1.45B), Telephone sets and other apparatus for... ($1.35B), Parts and accessories of data processing... ($1.24B), Diammonium phosphate, in packs >10 kg ($551M), and Units of automatic data processing machines:... ($497M).

Imports: In 2019, China's Hubei Province imported $20.7B, making it the 18th largest importer out of the 31 importers in China.

In 2019 top imports of Hubei Province were Machines and apparatus of a kind... ($1.44B), Electronic integrated circuits: processors and controllers,... ($1.38B), Copper ores and concentrates ($1.36B), Machines and apparatus of a kind... ($1.27B), and Machines and apparatus of heading 8486:... ($1.17B).

Economic Complexity: In 2019, the highest complexity exports of Hubei Province according to the product complexity index (PCI) are Glass with Edge Workings (1.88), Halides (1.77), Phosphoric Esters and Salts (1.74), Non-Mechanical Removal Machinery (1.73), and Wind Instruments (1.72). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Value
Depth

Top Destination (2019): United States, $5.04B

Top Product (2019): Telephones for cellular networks or for..., $1.45B

In 2019 the top export destinations of Hubei Province were United States ($5.04B), India ($1.79B), Brazil ($1.46B), Malaysia ($1.24B), and South Korea ($1.23B).

In 2019 the top exports of Hubei Province were Telephones for cellular networks or for... ($1.45B), Telephone sets and other apparatus for... ($1.35B), Parts and accessories of data processing... ($1.24B), Diammonium phosphate, in packs >10 kg ($551M), and Units of automatic data processing machines:... ($497M).

Export Dynamics

#permalink to section

Fastest Growing Exports Destination (March 2019 - March 2020)

Rapidly Declining Export Origins (March 2019 - March 2020)

Value
Depth

Top Origin (2019): Japan, $3.75B

Top Import (2019): Machines and apparatus of a kind..., $1.44B

In 2019 the top import origins of Hubei Province were N/A.

In 2019 the top imports of Hubei Province were Machines and apparatus of a kind... ($1.44B), Electronic integrated circuits: processors and controllers,... ($1.38B), Copper ores and concentrates ($1.36B), Machines and apparatus of a kind... ($1.27B), and Machines and apparatus of heading 8486:... ($1.17B).

Import Dynamics

#permalink to section

Fastest Growing Import Origins (March 2019 - March 2020)

Rapidly Declining Import Origins (March 2019 - March 2020)

Comparison in Time

#permalink to section
Flow
Value

This section shows differences between total trade from Hubei Province throughout time.

Comparison Map

#permalink to section
Value

The territories of China with the highest exports in 2019 were Guangdong Province ($444B), Jiangsu Province ($347B), Zhejiang Province ($314B), Shanghai Province ($176B), and Shandong Province ($153B)

The territories of China with the highest imports in 2019 were Guangdong Province ($373B), Beijing ($293B), Shanghai Province ($288B), Jiangsu Province ($223B), and Shandong Province ($133B)

This section shows a prediction for total exports and imports from Hubei Province. The Prediction is based in a Long Short-Term Memory Model constructed using monthly trade data.

Explore Predictions

Economic Complexity

#permalink to section

Economic Complexity of China

#permalink to section

Hubei Province ranks 10th out of the 31 territories in China according to ECI.

Estimated using exports data.

Export Opportunities by Relatedness

#permalink to section

The top export opportunities according to the relatedness level, without considering those products were Hubei Province already has a comparative advantage, are led by Cinnamon (0.43), Wrenches (0.41), Woven Fabric of Synthetic Staple Fibers (0.4), Non-Knit Gloves (0.39), and Plastic Coated Textile Fabric (0.38).

Most Complex Products by PCI

#permalink to section

The highest complexity exports of Hubei Province according to the product complexity index (PCI) are Glass with Edge Workings (1.88), Halides (1.77), Phosphoric Esters and Salts (1.74), Non-Mechanical Removal Machinery (1.73), and Wind Instruments (1.72). PCI measures the knowledge intensity of a product by considering the knowledge intensity of its exporters.

Most Specialized Products by RCA Index

#permalink to section

The most specialized products according to the RCA index are led by Furskin Apparel (131), Dried Vegetables (49.8), Artificial Vegetation (31.5), Hypochlorites (28.2), and Other Organo-Inorganic Compounds (25.6).

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 Hubei Province 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.

Relatedness Space

#permalink to section

This network shows the products most related to the production structure of  Hubei Province. These are products that tend to be co-exported with the products that Hubei Province exports. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.

Diversification Frontier

#permalink to section
Filter
Depth

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.