Abstract
This work involves the evaluation of dry port competitiveness through analysis of efficiencies for selected dry ports in Africa. Five dry ports were selected and analysis carried out over a period of four years. The dry ports considered were Mojo and Kality in Ethiopia, Mombasa in Kenya, Isaka in Tanzania and Casablanca in Casablanca, Morocco. Data Envelopment Analysis (DEA) was applied for this work. Container throughputs for the various ports under consideration were used as the output variable for the data analysis model, while the number of reach stackers, the number of tractors, the number of forklifts and the size of the dry port were used as the input variables. From the results, the Mombasa dry port was found to be the most efficient with an average score of approximately 1 over the period under consideration. Casablanca was the second efficient dry port with an average score of 0.762, while Isaka was the least efficient with an average score of 0.142. This research is significant since the African countries have embraced the dry port concept, as witnessed in the huge investments in this sector, and would serve to highlight areas that need improvement for the few existing dry port facilities, most of which are undergoing expansion as well as modernization.
Highlights
It is usually essential to evaluate the efficiency of any institution so as to establish any sources of inefficiencies
This analysis will be performed over a period of four years based on a range of inputs and with container throughput as the model output. It will serve as a basis for efficiency evaluation as more dry ports are either constructed or upgraded in different countries to meet the logistical demands of the African continent. This Data Envelopment Analysis (DEA) model is a non-parametric method based on application of linear programming for measuring the efficiency of units, referred to Decision-Making Units (DMUs)
The analysis results show that there is a little variation on efficiency for all the dry ports over the period considered in this work
Summary
It is usually essential to evaluate the efficiency of any institution so as to establish any sources of inefficiencies This is useful as a first step in putting measures to ensure improved efficiency in operations in an organization. One of the most commonly used models is the Data Envelopment Analysis (DEA) This model is used in this chapter to evaluate the efficiency of selected dry ports in Africa. Other dry ports are planned to be constructed in different transport corridors in West Africa. This notwithstanding, there are a few operational dry ports in the continent. The efficiencies of above operational dry ports are calculated using DEA model. The paper has the following sections: Literature review, which deals with the previous researches that have applied the DEA model; methodology, which introduces the mathematical formulation of the DEA model; Analysis of the DEA results, which presents the DEA results and provides a discussion on the same and the conclusion section
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