Technological drivers of dry port efficiency in Brazil

Author:

Rodrigues Antonio CarlosORCID,Macedo Roberta de CássiaORCID,Martins Ricardo SilveiraORCID

Abstract

PurposeThis paper aims to identify the scale efficiency of dry ports in Brazil and its main technological drivers.Design/methodology/approachThis paper uses the Data Envelopment Analysis (DEA) model in two stages. The first stage of the DEA was used to measure the efficiency of the dry ports. In the second stage, the Bootstrap Truncated Regression (BTR) was applied to explore the relationship between efficiency and the factors analyzed. The inputs, outputs and contextual variables for this analysis were extracted from the secondary database provided by Revista Tecnologística.FindingsIn the first analysis stage, a high level of idleness was verified in the operations. The contextual variables in the second stage were significant: Certification, Warehouse Management System (WMS), barcode and Radio Frequency Identification (RFID). Results corroborate the positive impact of Information Technology (IT) coordination processes on logistics performance.Practical implicationsResults show that dry ports operate below their technical and operational capacity and that the sector's lack of regulation in Brazil can facilitate and encourage the use of ports and marine terminals by importers and exporters.Originality/valueApplication of two-stage DEA measures efficiency as a sectoral benchmarking tool.

Publisher

Emerald

Subject

Management of Technology and Innovation,Marketing,Business and International Management,Management Information Systems

Reference39 articles.

1. Assessment of dry port efficiency in Africa using data envelopment analysis;Journal of Transportation Technologies,2019

2. ABEPRA (2015). O que são Portos Secos e Clias. Available from http://www.abepra.org.br

3. Some models for estimating technical and scale inefficiencies in data envelopment analysis;Management Science,1984

4. Analysis of the features of Chinese dry ports: Ownership, customs service, rail service, and regional competition;Transport Policy,2019

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