HS Icon Mechanical Wood Pulp

4701 (Harmonized System 1992 for 4-digit)

Overview:  This page contains the latest trade data of Mechanical Wood Pulp. In 2019, Mechanical Wood Pulp were the world's 1091st most traded product, with a total trade of $312M. Between 2018 and 2019 the exports of Mechanical Wood Pulp decreased by -25%, from $416M to $312M. Trade in Mechanical Wood Pulp represent 0.0017% of total world trade.

Exports: In 2019 the top exporters of Mechanical Wood Pulp  were New Zealand ($100M), Canada ($47.4M), Sweden ($39.3M), Norway ($26.7M), and United States ($23.2M).

Imports: In 2019 the top importers of Mechanical Wood Pulp were China ($48.9M), Indonesia ($38.9M), Italy ($32.1M), India ($29.7M), and Japan ($25.9M).

Tariffs: In 2018 the average tariff for Mechanical Wood Pulp was 2.18%, making it the 1216th lowest tariff using the HS4 product classification.

The countries with the highest import tariffs for Mechanical Wood Pulp are Bahamas (40.2%), Bermuda (25%), Maldives (24.5%), Cameroon (9.81%), and Gabon (9.81%). The countries with the lowest tariffs are Angola (0%), Ethiopia (0%), Kenya (0%), Mauritius (0%), and Rwanda (0%).

Historical Data

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Exporters and Importers

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Trade By Country

Top Origin (2019): New Zealand, $100M

Top Destination (2019): China, $48.9M

Mechanical Wood Pulp are the world's 1091st most traded product.

In 2019, the top exporters of Mechanical Wood Pulp were New Zealand ($100M), Canada ($47.4M), Sweden ($39.3M), Norway ($26.7M), and United States ($23.2M).

In 2019, the top importers of Mechanical Wood Pulp were China ($48.9M), Indonesia ($38.9M), Italy ($32.1M), India ($29.7M), and Japan ($25.9M).

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Market Dynamics

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Trade by country

Value

Top Origin Growth (2018 -  2019): Sweden, $8.67M

Top Destination Growth (2018 - 2019): Saudi Arabia, $4.34M

Between 2018 and 2019, the exports of Mechanical Wood Pulp grew the fastest in Sweden ($8.67M), Croatia ($3.24M), Spain ($2.83M), China ($1.05M), and Indonesia ($744k).

Between 2018 and 2019, the fastest growing importers of Mechanical Wood Pulp were Saudi Arabia ($4.34M), Spain ($2.14M), Slovenia ($1.73M), Greece ($879k), and Nigeria ($816k).

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Market Concentration

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Cumulative market share

This chart shows the evolution of the market concentration of exports of Mechanical Wood Pulp.

In 2019,  market concentration measured using Shannon Entropy, was 3.15. This means that most of the exports of Mechanical Wood Pulp are explained by 8 countries.

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TOP NET EXPORTER (2019): New Zealand, $99.6M

TOP NET IMPORTER (2019): China, $46.7M

This map shows which countries export or import more of Mechanical Wood Pulp. Each country is colored based on the difference in exports and imports of Mechanical Wood Pulp during 2019.

In 2019, the countries that had a largest trade value in exports than in imports of Mechanical Wood Pulp were New Zealand ($99.6M), Canada ($44.2M), Sweden ($34.3M), Norway ($26.6M), and Croatia ($18.4M).

In 2019, the countries that had a largest trade value in imports than in exports of Mechanical Wood Pulp were China ($46.7M), Indonesia ($38.2M), Italy ($30.2M), India ($29.6M), and Japan ($25.9M).

Disaggregation

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Value

In 2019, the world most traded Mechanical Wood Pulp, disaggragated by their HS6 level were Mechanical wood pulp ($312M)

Import Tariffs

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In 2018, the average tariff for importing Mechanical Wood Pulp was 2.18%. The countries with the highest tariffs for importing Mechanical Wood Pulp were Bahamas (40.2%), Bermuda (25%), Maldives (24.5%), Cameroon (9.81%), and Gabon (9.81%).

Product Complexity

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Diversification Frontier

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Specialization

The Complexity-Relatedness diagram compares the risk and the strategic value of a product's potential export opportunities. Relatedness is predictive of the probability that a country increases its exports in a product. Complexity, is associated with higher levels of income, economic growth potential, lower income inequality, and lower emissions.

Country by Relatedness

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The following visualization shows the relatedness of Mechanical Wood Pulp to countries. Higher relatedness values ​​indicate greater knowledge, which predicts a greater probability of exporting that product in the future.