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High-tech trade as determinant of the US bilateral trade balance

Research Output: Contribution to journal Article Peer-review

Sustainable Development Goals

  • SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Publication metrics

Metrics

SciVal
FWCI
0.46
SciVal
Author count
2
SciVal
Paper percentile
49
SciVal
Citations
4
Scopus
Citations

Abstract

The relevance of high-tech industries has increased in recent years, particularly because of their effects on productivity and economic growth. However, the analysis of their relationship with the external sector is scarce, being a potential determinant of external imbalances. We examine the role of the share of high-tech exports and imports in the performance of the bilateral trade of the United States (US), characterized by a persistent trade deficit. The study focuses on bilateral data between the US and its 20 major partners, including developed and emerging countries, over the years 1990–2019. Accordingly, we developed dynamic panel data models based on the DIF GMM estimator, examining the relationship between bilateral trade balance and traditional regressors (relative income and exchange rate) and new explanatory variables (the high-tech composition of exports and imports). We found that the US high-tech composition of exports and imports has been changing over the last three decades, with the share of high-tech imports increasing and their exports decreasing. Furthermore, the regression results suggest that imports composed of high-tech goods are significant in explaining the US trade deficit, while the bilateral real exchange rate remains as a robust explanatory variable.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 713-730 (18 pages)

Journal (Volume, Issue Number)

Economics of Innovation and New Technology (Volume 32, Issue 5)

Publication milestones

  • Accepted/In press - 2021
  • E-pub ahead of print - 30/12/2021
  • Published - 2023

Publication status

Published - 2023

ISSN

1043-8599

Publication IDs

  • Scopus: 85122262584
  • WOS: 000737617600001