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Driving Factors of Intra-regional Trade in Agricultural Goods: The Case of West African Economic and Monetary Union

  • Toussaint HoueninvoEmail author
  • Philippe Sèdédji
Chapter
Part of the Advances in African Economic, Social and Political Development book series (AAESPD)

Abstract

Since the 2008 financial crisis and the 2010 European debt crisis, and their impact on African exports, strengthening regional integration appears to be an alternative to building resilience to shocks and promoting economic development in West Africa. Experience shows that the debt crisis in Europe has negatively affected exports of several African countries. Similar effects have been observed during the recent decline in commodity prices. Given that countries of the Economic and Monetary Union of West Africa (UEMOA) are agriculture dominant countries with the share of agricultural value added to GDP representing between 20% and 46% of countries, boosting intra-region trade, specifically intra-WAEMU agricultural exports, can serve as a key factor for inclusive development in West Africa.

The inclusiveness of the development is strengthened by the fact that most of the population in West Africa lives in rural area and does not benefit directly from the broad economic growth at macro level. Intra-regional trade in agricultural products in such a condition could contribute to reducing inequality and poverty.

One of the constraints to trade in West Africa is the quality of transport and the related cost of transportation and logistics including non-tariff barriers that jeopardize competitiveness of West African products as compared to imported goods from outside WAEMU. Several goods imported from out of the continent, especially from Asia, Europe and America have been more competitive than the intra WAEMU products.

The main research question is the impact of distance (transport/logistical cost) and the level of development on intra-WAEMU agricultural exports. The paper analyzes the determinants of intra-WAEMU trade in agricultural products and therefore the variables on which policymakers could act to promote intra-regional trade. The analysis uses panel data in a gravity model over the period 1996–2013 covering seven (7) West African Countries with yearly data. The results indicate that the two gravity factors meaning the level of development measured by GDP as well as the distance are highly significant at 1% with the expected signs.

Regarding the four control variables namely population (pop), foreign direct investment (FDI), Political stability and the Common External Tariff, all of them have the expected signs but only FDI with 2 lags is significant. Similar to the core variables of the model, FDI is strongly significant at 1%.

Overall, the results indicate that 1% increase in GDP leads to 0.9% increase in intra-regional export of agricultural goods. This calls for actions to deepen the Common agricultural policy of WAEMU for agricultural transformation in WAEMU zone in order to improve the wellbeing of the poor. On that result, the agricultural transformation strategy for Africa recently adopted by African Development Bank is timely.

As for the distance, a 1% increase in the distance leads to 0.8% decrease in intra-regional agricultural exports. This call for deeper actions at WAEMU level to modernize the corridors and reduce red tape and roads harassment.

As for FDI, 1% increase in FDI leads to 0.25% increase in intra-regional exports. This call for actions at WAEMU level to attract FDI in the agricultural sector for the exploitation of the abundant available arable land in WAEMU member countries.

Keywords

Intra regional agricultural exports Foreign direct investment Panel data Gravity model West Africa 

JEL Classification

F14 O55 Q17 Q18 

Notes

Acknowledgements

We would like to thank Makhtar Gueye for excellent Research Assistance but all errors remain ours.

Supplementary material

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.African Development Bank, Regional Office for East AfricaNairobiKenya
  2. 2.Ministry of Development, Economic Analysis and ProspectsCotonouRepublic of Benin

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