844190 (Harmonized System 1992 for 6-digit)

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Overview This page contains the latest trade data of Parts of machinery for making pulp, paper or board. In 2023, Parts of machinery for making pulp, paper or board were the world's 1398th most traded product, with a total trade of $2.08B. Between 2022 and 2023 the exports of Parts of machinery for making pulp, paper or board grew by 4.56%, from $1.99B to $2.08B. Trade in Parts of machinery for making pulp, paper or board represent 0.0092% of total world trade.

Parts of machinery for making pulp, paper or board are a part of Other Paper Machinery.

Exports In 2023 the top exporters of Parts of machinery for making pulp, paper or board  were Germany ($357M), Italy ($311M), China ($230M), United States ($191M), and France ($130M).

Imports In 2023 the top importers of Parts of machinery for making pulp, paper or board were United States ($330M), Germany ($168M), Italy ($112M), France ($99.7M), and Spain ($95.8M).

Ranking Parts of machinery for making pulp, paper or board ranks 482nd in the Product Complexity Index (PCI).

Description The first step in making pulp, paper, or board is the use of a pulping process to separate the lignin and hemicellulose from cellulose fibers. This is done by cooking a mixture of wood chips, shavings, or ground wood in a large vat with a strong alkaline solution. When the process is complete, the fibers are strained out of the pulp. The pulp is then mixed with water and a dilute acid or alkali solution, which is used to extract the lignin and hemicellulose.

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The following visualization shows the latest trends on Parts of machinery for making pulp, paper or board. Countries are shown based on data availability.

For a full breakdown of trade patterns, visit the trend explorer or the product in country profile.

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* Trade values are converted to USD using each month's exchange rate. For December 2023 data, the exchange rate from December 30, 2023 is used.

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Product Complexity

Diversification Frontier

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.

Relatedness vs Country Complexity (NaN)

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