Abstract
Purpose The relationship between economic growth performance and achieving inclusive growth, especially concerning poverty rate, is a subject of continuous argument in economic literature. Although some argue that this relationship is deterministic, i.e. achieving economic growth will definitely reduce poverty and enhance inclusive growth, others believe that the relationship between growth and poverty is conditional, depends mainly on the status of income distribution in this country, i.e. if the growth is combined with a significant improve in distribution then it will reduce poverty. Design/methodology/approach Africa is a clear example of the nexus between economic growth and poverty reduction. Although many African countries manage to achieve relatively high growth rates, hit two digits in some cases, during the last decades, poverty still widely spread in those countries. Of the 30 poorest countries in the world, 24 are African countries. And about 50% of African people still live under the poverty line. Common Market for Eastern and Southern Africa (COMESA), which could be considered as one of the fastest growing regions in Africa, is not an exception; although the region achieves relatively high growth rates, poverty and inequality are still among the region’s main development challenges. Findings This paper found that the economic growth rate achieved in COMESA countries could not be considered as inclusive growth as it does not combine with adequate enhancement in inclusiveness indicators. And that the structural characteristics of those countries economy and its inelasticity are the main reasons behind this inefficiency. Originality/value In this context, this paper aims to evaluate the effectiveness of economic growth achieved in COMESA countries in achieving inclusive growth and to identify the main factors affecting this relationship by using two steps data envelopment analysis. Although this method is originally developed to evaluate the relative economic efficiencies, the main contribution of this paper is the adaptation of data envelopment analysis to evaluate the efficiency of economic growth achieved in COMESA countries in enhancing inclusive growth dimensions such as poverty rate, inequality, unemployment, education, health, and then to identify in its second step the main indicators that could be used to explain the variation in efficiency scores.

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