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Replication Data for: The efficiency of railways specialized in transporting iron ore and pellets

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: The efficiency of railways specialized in transporting iron ore and pellets
 
Identifier https://doi.org/10.7910/DVN/5WOPGL
 
Creator Renata Guimarães de Oliveira Fontan
Rodrigo Alvarenga Rosa
Adonai José Lacruz
 
Publisher Harvard Dataverse
 
Description Objective: the objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: the methods used were the data envelopment analysis (DEA) technique, with the application of the output-oriented constant returns scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue, and Mount Newman. Conclusions: the applied model was considered a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railways more efficient or maintain them on the frontier of efficiency.
 
Subject Business and Management
railways specialized in iron ore and pellets
data envelopment analysis
rail freight transport efficiency
 
Contributor Journal of Contemporary Administration