Artikel

The short- and long-run relationship between trade openness and economic growth in Uganda

Using data covering the period from 1983 to 2019, we apply the autoregressive distributed lag (ARDL) bound testing approach to investigate whether trade openness has spurred economic growth in Uganda. The extant literature shows that trade openness increases economic growth, but this empirical evidence remains contested. Our empirical results on the long-run relationship reveal the existence of a positive and statistically significant relationship between trade openness and economic growth. Except for the use of exports to measure trade openness, using openness index and imports to proxy for trade openness indicates that an increase in the above indexes leads to increased economic growth in the long-run. In the short-run, however, more openness, exports and imports lead to increased economic growth. This implies that a significant proportion of economic growth in Uganda has been due to short-run increase in the country's openness, more exports and imports. This paper confirms that using openness and imports indexes to proxy for trade yields more robust results compared to the use of export indices. At the policy level, these results show that encouraging more trade and imports that embody technology or intermediate inputs is essential in the production process could increase economic growth in the long-run. In the short-run, expanding the scope of exports and imports is important for economic growth.

Sprache
Englisch

Erschienen in
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 9 ; Year: 2021 ; Issue: 1 ; Pages: 1-22

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Trade Policy; International Trade Organizations
Empirical Studies of Trade
Economic Growth of Open Economies
Thema
ARDL
exports
growth
imports
Trade

Ereignis
Geistige Schöpfung
(wer)
Esaku, Stephen
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2021

DOI
doi:10.1080/23322039.2021.1999060
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Esaku, Stephen
  • Taylor & Francis

Entstanden

  • 2021

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