Tourism Contribution to Poverty Alleviation in Kenya: A Dynamic Computable General Equilibrium Analysis.

Abstract

The aim of this paper is to investigate the claim that tourism development can be the engine for poverty reduction in Kenya using a dynamic, micro-simulation computable general equilibrium model. The paper improves on the common practice in the literature by using the Foster-Greer-Thorbecke (FGT) index to measure poverty instead of headcount ratios only. Simulations results confirm those of previous studies and show that the expansion of the tourism industry will benefit different sectors unevenly and will only marginally improve poverty headcount. This is mainly due to the contraction of the agricultural sector caused by the appreciation of the real exchange rates. However this paper demonstrates that the effect on poverty gap and poverty severity is nevertheless, significant for both rural and urban areas. Tourism expansion enables poorer households to move closer to the poverty line. It is concluded that the tourism industry is pro-poor.