Artikel

Agricultural imports, agriculture productivity and economic growth in sub-Saharan Africa

This study investigates the causal links among agricultural imports, agriculture productivity, and economic growth in 40 sub-Saharan African countries over the period 1990-2015. Granger causality tests are applied to infer direction of causality, and the generalized two-stage least squares instrumental variable technique is employed to estimate the effects while controlling for endogeneity. The bootstrapping procedure is used to deal with cross-sectional dependence. The results reveal bidirectional causality between agricultural imports and agriculture productivity in the full sample, and in middle- and low-income non-oil-exporting countries. The relationship between agricultural imported inputs and agriculture productivity is positive and significant. In addition, unidirectional causality from agricultural imports to economic growth is observed in the full sample and middle-income non-oil exporters. The growth elasticity of agricultural imports is about 1.0 in the full sample and 1.3 in the middle-income group. These results then cast new light on the importance of agricultural imports for growth and development in the African region.

Sprache
Englisch

Erschienen in
Journal: Journal of African Trade ; ISSN: 2214-8523 ; Volume: 7 ; Year: 2020 ; Issue: 1/2 ; Pages: 15-28 ; Paris: Atlantis Press

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Econometric Modeling: Other
Agriculture in International Trade
Thema
Agricultural import
agriculture productivity
economic growth
Granger causality
Sub-Saharan Africa
Agraraußenhandel
Import
Agrarproduktion
Wirtschaftswachstum
Kausalanalyse
Subsahara-Afrika

Ereignis
Geistige Schöpfung
(wer)
Mwangi, Esther N.
Chen, Fuzhong
Njoroge, Daniel M.
Ereignis
Veröffentlichung
(wer)
Atlantis Press
(wo)
Paris
(wann)
2020

DOI
doi:10.2991/jat.k.200902.001
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

  • Mwangi, Esther N.
  • Chen, Fuzhong
  • Njoroge, Daniel M.
  • Atlantis Press

Entstanden

  • 2020

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