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2019-09-11 - Colloque/Présentation - communication orale - Anglais - 1 page(s)

Sukadi A Sukadi Emmanuel , "Impact of Oil Booms on Agriculture in Oil-Exporting Developing Countries" in 14th RSEP International Social Sciences Conference, Madrid, Espagne, 2019

  • Codes CREF : Macroéconomie et économie monétaire (DI4330), Economie des PVD (DI4375)
  • Instituts UMONS : Institut de Recherche en Développement Humain et des Organisations (HumanOrg)
Texte intégral :

Abstract(s) :

(Anglais) This paper studies the impact of resource booms on the agricultural sector of three oil-exporting developing countries (i.e. The Republic of Congo, Gabon and Nigeria). We use vector autoregressive (VAR) and vector error correcting (VEC) models on time series with annual frequency running from 1991 to 2018. The results suggest the presence of spending effects in the three countries and of resource movement effects in Congo. This tends to confirm the hypothesis of Dutch disease in the three countries. Moreover, this analysis contributes to the relatively scarce literature relating Dutch disease to the agricultural sector rather than to the manufacturing sector. The results show that oil shocks are a major source of disturbance in the agricultural sector in resourcerich developing countries. Given the importance of agriculture in developing countries, and given the problematic of food security in such regions, we believe that a greater focus should be put on the relationship that may exist between resource booms and agricultural production. Keywords: Dutch disease, resource curse, Time series, VAR models, VEC models

(Anglais) This paper studies the impact of resource booms on the agricultural sector of three oil-exporting developing countries (i.e. The Republic of Congo, Gabon and Nigeria). We use vector autoregressive (VAR) and vector error correcting (VEC) models on time series with annual frequency running from 1991 to 2018. The results suggest the presence of spending effects in the three countries and of resource movement effects in Congo. This tends to confirm the hypothesis of Dutch disease in the three countries. Moreover, this analysis contributes to the relatively scarce literature relating Dutch disease to the agricultural sector rather than to the manufacturing sector. The results show that oil shocks are a major source of disturbance in the agricultural sector in resourcerich developing countries. Given the importance of agriculture in developing countries, and given the problematic of food security in such regions, we believe that a greater focus should be put on the relationship that may exist between resource booms and agricultural production. Keywords: Dutch disease, resource curse, Time series, VAR models, VEC models


Mots-clés :
  • (Anglais) VAR model
  • (Anglais) VEC model
  • (Anglais) Dutch disease
  • (Anglais) Resource curse