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Improving economic complexity index: Insights from value added

  • Lulu Zhang
  • , Weiming Chen
  • , Qian Zhang
  • , Kairui You*
  • , Gang Diao
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Beijing University of Agriculture
  • Lishui University

Research output: Contribution to journalArticlepeer-review

Abstract

Accurate measurement of the economic complexity index is crucial for guiding economic growth. However, the economic complexity index can be misestimated as it relies on export data with multiple value-added sources, which fails to accurately capture a country's production capability in specific activities. Thus, based on the input-output model, this study decomposes the export value of a product into three parts: foreign value added, value added from the domestic product sector, and value added from other domestic product sectors. Using the second component, this study subsequently evaluates the economic complexity of 43 countries in the Exiobase database. The effectiveness of this new measure in capturing information related to factors influencing national economic performance is further explored. The results show that, compared to the economic complexity index, the overall deviation between rankings based on the new measure and GDP per capita rankings is significantly smaller. By capturing additional information on a country's position in the global value chain, this new measure serves as a more effective tool for explaining differences in national economic development levels and forecasting economic growth.

Original languageEnglish
Pages (from-to)1391-1408
Number of pages18
JournalEconomic Analysis and Policy
Volume85
DOIs
Publication statusPublished - Mar 2025
Externally publishedYes

Keywords

  • Economic complexity
  • Input-output analysis
  • Product space
  • Structural change
  • Value added

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