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Effects of Agricultural, Manufacturing, and Mineral Exports on Angola’s Economic Growth

doi: 10.3390/en13061494
This study investigates the effects of Angola’s agricultural, manufacturing, and mineral exports on the country’s economic growth using data from 1980 to 2017. An Autoregressive Distributed Lag (ARDL) model is employed to estimate the effect of sectoral exports on economic growth. The estimation results show that while exports from all three sectors (manufacturing, mineral, and non-mineral) have driven Angola’s economic growth in the long-run; only non-manufacturing (agricultural and mineral) exports have led its growth in the short-run. Moreover, growth in non-export GDP was driven by mineral exports in the long-run and agricultural exports in the short-run. Considering the statistically significant and positive impact of mineral exports on the Angolan GDP as well as on its non-export GDP, this study points to a lack of evidence supporting the Dutch disease phenomenon in Angola.
- Oklahoma State University Oklahoma City United States
- Ferdowsi University of Mashhad Iran (Islamic Republic of)
- Ferdowsi University of Mashhad Iran (Islamic Republic of)
- Oklahoma State University Oklahoma City United States
Technology, dutch disease, T, angola, economic growth, export-led growth, Export-led growth; Dutch disease; ARDL; economic growth; Angola, ardl
Technology, dutch disease, T, angola, economic growth, export-led growth, Export-led growth; Dutch disease; ARDL; economic growth; Angola, ardl
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
