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Articles

Accessibility, transportation cost, and regional growth: a case study for Egypt

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Pages 256-277 | Received 18 Dec 2016, Accepted 04 May 2017, Published online: 18 Sep 2017
 

Abstract

This paper focuses on a proposed development corridor in Egypt, a main component of which is a desert-based expansion of the current highway network. The main beneficial features of this proposed transport investment are travel time reductions and improved accessibility. We use a spatial computable general equilibrium (SCGE) model to estimate the economic impacts of changes in transportation costs from this new roadway. To effect this, we integrate the model with a stylized geo-coded transportation network to estimate the spatial distribution of changes in transportation costs. Ignoring the cost of the infrastructure itself, we employ a series of simulations to estimate the likely structural economic impacts that such a large investment in transportation could enable through a series of simulations. Results show the Corridor causes the economic tide to rise for the economies of all Egyptian governorates. Gains in efficiency are particularly strong for those regions that are presently most isolated, namely those located to the southern and western extremes of the country. This suggests that the project will lessen regional disparities across Egypt’s governorates. We therefore show that integrated SCGE models can be useful in estimating the potential economic benefits of transportation projects in developing nations like Egypt. Moreover, it is clear that interregional economic models can be vital in examining the varied spatial distribution of the benefits that derive from geographically targeted government spending.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. These development corridors are Tazara Development Corridor, Mtwara Development Corridor, Nacala Development Corridor, Beira Development Corridor, Limpopo Development Corridor, Maputo Development Corridor, Coast to Coast SDI, and Lobito Development Corridor.

2. According to the Ministry of Transport of Egypt, 94% of the nation’s freight is transported by road (http://www.comcec.org/).

3. We used the origin–destination (O–D) cost matrix function within the ArcGIS’s Network Analyst software extension.

4. For More information about the cost functions estimation see Haddad et al. (Citation2016).

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