African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4194

Full Length Research Paper

Brazilian airport infrastructure: Analysis using the Monte Carlo simulation and multiple regressions

Hugo Ferreira Braga Tadeu1, Jersone Tasso Moreira Silva2*, Guilherme Cunha Malafaia3, and Denise Barros de Azevedo3
1Business Administration, Centro Universitário UNA and Fundação Dom Cabral, Brazil. 2Business Administration, Fumec University, Brazil. 3Business Administration, Universidade de Caxias do Sul, Brazil.    
Email: [email protected]

  •  Accepted: 25 February 2011
  •  Published: 18 April 2012

Abstract

The airport infrastructure is a polemic and controversial theme with innumerous opportunities to be explored. The study between the GDP, demands growth and costs is a Brazilian national interest. Studies about the airport infrastructure have been conducted worldly, as well as qualitative and quantitative methods. After a literature review it is possible to determinate an inexistence texts correlation airport infrastructure with Monte Carlo Simulation and Multiple Regressions, the stimulus for this text. The methodology presented is quantitative, using data and the respective treatment with Monte Carlo simulation, Multiple Regressions and specialized systems. Brazilian airport infrastructure are the focus of this paper, with a generate results for the long term simulation, considering the period of 2010-2017, the same as the strategic Brazilian government plan to the airport sector.

 

Key words: Brazilian airport infrastructure, Monte Carlo simulation, multiple regressions.

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

Back to Vol. 6 No. 15
Back to articles
  • Articles on Google by:
SUBSCRIBE TO RSS
SUBMIT MANUSCRIPT
CONFERENCES