BEA Announcement: BEA to Release New and Expanded Data on Global Value Chains

SUITLAND, Md. — BEA will release new and expanded statistics on the role of global value chains in the U.S. economy on May 21 at 10 a.m.

The release will include new statistics on global value chains for 2024 and updated statistics for 2007-2023. The new global value chains statistics will show the mix of domestic and foreign content used in the production of goods and services in the United States, aiding analysis of increasingly complicated supply chains.

This release marks an expansion of global value chain statistics (also called trade in value added) to include each of the major components of GDP: consumer spending, investment, government spending, and exports. The statistics, for example, will provide information on consumer purchases of domestically produced items versus imported items. Previously, these statistics were available just for U.S. exports. 

BEA's tool to help access these data and create custom tables and will be renamed the Global Value Chain Analyzer with the May 21 release.

AI OVERVIEW

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Trade in value-added

The goods and services we buy are composed of inputs from various countries around the world.

However, the flows of goods and services within these global production chains are not always reflected in conventional measures of international trade.

The development of measures of Trade in Value-Added (TiVA) addresses this issue by considering the value added by each country in the production of goods and services that are consumed worldwide.

TiVA indicators are designed to better inform policy makers by providing new insights into the commercial relations between nations.

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Key links

About

Trade in Value-Added (TiVA) indicators provide insights into:

Domestic and foreign value added content of gross exports by exporting industry
Services content of gross exports by exporting industry, by type of service and value added origin
Participation in global value chains (GVCs) via intermediate imports embodied in exports (backward linkages) and domestic value added in partners’ exports and final demand (forward linkages)
Industrial activity's global orientation, i.e. the share of industry value added that meets foreign final demand
Country and industry origins of value added in final demand, including the origin of value added in final consumption (by households and government) and in gross fixed capital formation (investment by businesses)
Bilateral trade relationships based on flows of value added embodied in domestic final demand
Inter-regional and intra-regional relationships
Domestic value added content of imports

TiVA Table Builder

National Trade in Value Added (TiVA) statistics from the Bureau of Economic Analysis (BEA) provide a mechanism for understanding the supply chains that underpin production of U.S. exports. Traditional trade statistics provide information on the amount of goods and services exported from the U.S. However, supply chains for those goods and services may cross borders to include activities of both domestic and foreign producers. Using BEA’s National TiVA statistics, data users can decompose these supply chains in order to understand the role of both domestic value added creation by domestic industries and imported content by source region.

The TiVA Table Builder tool can be used to create customized tables based on this dataset. The dataset is broken out along four dimensions as described below. To create a table, (1) select a dimension for the columns, (2) select a dimension for the rows, and (3) filter the final two dimensions as needed.

DIMENSIONS

1) Period: The period(s) for which the global value chain data are displayed.

2) Exporting Industry: The industry producing the good or service being exported.

3) Destination: The destination country or region to which the good or service is being exported.

4) Source of Value: The sources of value in the exported output, including domestic value added by producing industry and imported foreign content by source country or region.

For more information about the TiVA dataset and information on how to use the TiVA table builder

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